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47 results on '"Das, Asit"'

2. Convolutional Neural Networks-Based Sentence Level Classification of Crime Documents

Author

Das, Priyanka, Das, Asit Kumar, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Dutta, Soumi, editor, and Pelusi, Danilo, editor

Published
2022
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3. Neighbour adjusted dispersive flies optimization based deep hybrid sentiment analysis framework.

Author

Dey, Ranit Kumar and Das, Asit Kumar

Subjects
ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, NATURAL language processing, LONG short-term memory, DEEP learning
Abstract

A very crucial branch of Natural Language Processing is Sentiment Analysis, which seeks to elicit feelings in the public from feedback provided by users. This study proposes a Hybridized Deep Neural Network-based framework for the sentiment analysis, where we have modified Dispersive Flies Optimization by adjusting its neighbor counterpart and applied that Neighbour Adjusted Dispersive Flies optimization for optimizing feature space with the aid of sentiment information extracted using our specially developed SentiWordNet lexicon-linked fitness function, after preliminary processing of data. This modification helps to avoid the local optimal solution and supports the optimization process to approach the global optimal solution in more effective way. Next, to handle the textual features efficiently through Deep Learning approaches, we use pre-trained embedding technique to represent them mathematically. The Hybridized Deep Neural Network, which is made up of a Convolutional Neural Network and Long Short Term Memory, is then given the embedded features. In order to store locally implanted information, Convolutional Neural Networks construct hierarchical representations, while Long Short Term Memory attempts to recollect pertinent prior data for opinion categorization. This hybridization helps to take advantage of both the component networks. The deep neural network system ultimately delivers the desired sentiment category. To demonstrate its effectiveness, the suggested hybrid methodology is reckoned and contrasted with numerous cutting-edge methodologies utilizing a variety of performance indicators. Our proposed framework gives the best performance compared to the baselines with an accuracy of 89.0%, 81.9%, 67.9%, 64.6%, 83.2%, 79.8% and 91.3% for Amazon, ETSY, Big Basket, Facebook, Finance, Twitter and Wine dataset respectively. [ABSTRACT FROM AUTHOR]

Published
2024
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4. Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images.

Author

Chatterjee, Sankhadeep, Maity, Soumyajit, Bhattacharjee, Mayukh, Banerjee, Soumen, Das, Asit Kumar, and Ding, Weiping

Subjects
X-ray imaging, X-rays, COVID-19, EARLY diagnosis, COVID-19 pandemic, DEEP learning
Abstract

Early and fast detection of disease is essential for the fight against COVID-19 pandemic. Researchers have focused on developing robust and cost-effective detection methods using Deep learning based chest X-Ray image processing. However, such prediction models are often not well suited to address the challenge of highly imabalanced datasets. The current work is an attempt to address the issue by utilizing unsupervised Variational Auto Encoders (VAEs). Firstly, chest X-Ray images are converted to a latent space by learning the most important features using VAEs. Secondly, a wide range of well established data resampling techniques are used to balance the preexisting imbalanced classes in the latent vector form of the dataset. Finally, the modified dataset in the new feature space is used to train well known classification models to classify chest X-Ray images into three different classes viz., "COVID-19", "Pneumonia", and "Normal". In order to capture the quality of resampling methods, 10-folds cross validation technique is applied on the dataset. Extensive experimental analysis have been carried out and results so obtained indicate significant improvement in COVID-19 detection using the proposed VAE based method. Furthermore, the ingenuity of the results have been established by performing Wilcoxon rank test with 95% level of significance. [ABSTRACT FROM AUTHOR]

Published
2023
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5. Key moment extraction for designing an agglomerative clustering algorithm-based video summarization framework.

Author

Yasmin, Ghazaala, Chowdhury, Sujit, Nayak, Janmenjoy, Das, Priyanka, and Das, Asit Kumar

Subjects
VIDEO surveillance, DEEP learning, PUBLIC safety, BORDER security, VIDEOS, TASK analysis
Abstract

Video summarization is the process of refining the original video into a more concise form without losing valuable information. Both efficient storage and extraction of valuable information from a video are the challenging tasks in video analysis. Intelligent video surveillance system has an essential role for ensuring safety and security to the public. Recent intelligent technologies are extensively using the surveillance systems in all areas starting from border security application to street monitoring systems. Now the surveillance camera or motion sensitivity-based cameras produce large volume of data when employed for recording videos. As analysis of videos by humans demands immense manpower, automatic video summarization is an important and growing research topic. Hence, it is necessary to summarize the activities in the scene and eliminate unusual and redundant events recorded in videos. The proposed work has developed a video summarization framework using key moment-based frame selection and clustering of frames to identify only informative frames. The key moment is a simple yet effective characteristic for summarizing a long video shot and motion is the most salient feature in presenting actions or events in video which is used here to extract the key moments of the video frames. The motion is the scene of a video frame which has the most acceleration and deceleration in case of the key moments. Based on the extracted key moments, the frames of the video are partitioned into different groups using a novel similarity-based agglomerative clustering algorithm. The algorithm determines at most K clusters of frames based on Jaccard similarity among the clusters, where K is the user defined parameter set as the 5% to 15% of the size of the video to be summarized. From each cluster, few representative frames are identified based on the centroids of the clusters and arranged according to their original video sequence to generate the summary of the video. The proposed clustering algorithm and the summarization method are evaluated using state-of-the-art video datasets and compared with some related methodologies to demonstrate their effectiveness. [ABSTRACT FROM AUTHOR]

Published
2023
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6. A Deep Network-Based Trade and Trend Analysis System to Observe Entry and Exit Points in the Forex Market.

Author

Das, Asit Kumar, Mishra, Debahuti, Das, Kaberi, Mohanty, Arup Kumar, Mohammed, Mazin Abed, Al-Waisy, Alaa S., Kadry, Seifedine, and Kim, Jungeun

Subjects
*TREND analysis, *CONVOLUTIONAL neural networks, *FOREIGN exchange market, *FORECASTING methodology, *DEEP learning, *BLENDED learning, *MOVING average process
Abstract

In the Forex market, trend trading, where trend traders identify trends and attempt to capture gains through the analysis of an asset's momentum in a particular direction, is a great way to profit from market movement. When the price of currency is moving in one either of the direction such as; up or down, it is known as trends. This trend analysis helps traders and investors find low risk entry points or exit points until the trend reverses. In this paper, empirical trade and trend analysis results are suggested by two-phase experimentations. First, considering the blended learning paradigm and wide use of deep-learning methodologies, the variants of long-short-term-memory (LSTM) networks such as Vanilla-LSTM, Stacked-LSTM, Bidirectional-LSTM, CNN-LSTM, and Conv-LSTM are used to build effective investing trading systems for both short-term and long-term timeframes. Then, a deep network-based system used to obtain the trends (up trends and down trends) of the predicted closing price of the currency pairs is proposed based on the best fit predictive networks measured using a few performance measures and Friedman's non-parametric tests. The observed trends are compared and validated with a few readily available technical indicators such as average directional index (ADX), rate of change (ROC), momentum, commodity channel index (CCI), and moving average convergence divergence (MACD). The predictive ability of the proposed strategy for trend analysis can be summarized as follows: (a) with respect to the previous day for short-term predictions, AUD:INR achieves 99.7265% and GBP:INR achieves 99.6582% for long-term predictions; (b) considering the trend analysis strategy with respect to the determinant day, AUD:INR achieves 98.2906% for short-term predictive days and USD:INR achieves an accuracy of trend forecasting with 96.0342%. The significant outcome of this article is the proposed trend forecasting methodology. An attempt has been made to provide an environment to understand the average, maximum, and minimum unit up and/or downs observed during trend forecasting. In turn, this deep learning-based strategy will help investors and traders to comprehend the entry and exit points of this financial market. [ABSTRACT FROM AUTHOR]

Published
2022
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7. Improving Facial Emotion Recognition Using Residual Autoencoder Coupled Affinity Based Overlapping Reduction.

Author

Chatterjee, Sankhadeep, Das, Asit Kumar, Nayak, Janmenjoy, and Pelusi, Danilo

Subjects
*EMOTION recognition, *EMOTIONS, *COMPUTER vision, *FACIAL expression, *DEEP learning
Abstract

Emotion recognition using facial images has been a challenging task in computer vision. Recent advancements in deep learning has helped in achieving better results. Studies have pointed out that multiple facial expressions may present in facial images of a particular type of emotion. Thus, facial images of a category of emotion may have similarity to other categories of facial images, leading towards overlapping of classes in feature space. The problem of class overlapping has been studied primarily in the context of imbalanced classes. Few studies have considered imbalanced facial emotion recognition. However, to the authors' best knowledge, no study has been found on the effects of overlapped classes on emotion recognition. Motivated by this, in the current study, an affinity-based overlap reduction technique (AFORET) has been proposed to deal with the overlapped class problem in facial emotion recognition. Firstly, a residual variational autoencoder (RVA) model has been used to transform the facial images to a latent vector form. Next, the proposed AFORET method has been applied on these overlapped latent vectors to reduce the overlapping between classes. The proposed method has been validated by training and testing various well known classifiers and comparing their performance in terms of a well known set of performance indicators. In addition, the proposed AFORET method is compared with already existing overlap reduction techniques, such as the OSM, ν -SVM, and NBU methods. Experimental results have shown that the proposed AFORET algorithm, when used with the RVA model, boosts classifier performance to a greater extent in predicting human emotion using facial images. [ABSTRACT FROM AUTHOR]

Published
2022
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8. Analytical Comparison of Deep Learning Frameworks for Semantic Segmentation with Pixel-Level Understanding

Author

Deb, Ankit, Das, Shuvrajeet, Deb, Suman, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2023
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9. A Comparative Study of Deep Learning-Based Face Recognition and Emotion Detection Techniques Using Social Media Customized Cartoon Post

Author

Paul, Jayanta, Roy, Anuska, Mallick, Siddhartha, Sil, Jaya, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2023
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10. Identification of Diabetic Retinopathy Using Robust Segmentation Through Mask RCNN

Author

Aryan, Deb, Suman, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2023
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11. Deep Convolutional Neural Network for Skin Cancer Classification

Author

Dash, Pandit Byomakesha, Kishore, Ch Ravi, Kommu, Venkatasai, Raju, Vysyaraju Lokesh, Mohapatra, Subhasree, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2023
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12. An Improved Intrusion Detection System for the Internet of Medical Things Based on Deep Convolutional Neural Network

Author

Dash, Pandit Byomakesha, Behera, H. S., Senapati, Manas Ranjan, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2023
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13. Detection and Classification of Dental Caries Using Deep and Transfer Learning

Author

Rajput, Divya, Rane, Hiral, Nikam, Devika, Wagh, Janhavi, Jadhav, Anuja, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2023
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14. A Transfer Learning Approach to Indian Currency Coin Recognition

Author

Priyadharshini, R. Ahila, Vijayraj, M., Dhanushraj, R., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2023
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15. Classifying Fetal Health Using Neural Networks by Boosting Imbalanced Classes

Author

Anoosha, Perumalla, Parlapalli, Renuka Devi, Srikanth Reddy, E., Menaga, P., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2023
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16. A Deep Learning Approach for Detection of Disease in Plant Leaves

Author

Khatri, S., Tripathy, B. K., Kumar, K. V. S. S., Kumar, V., Bharti, S., Gupta, A., Khandelwal, Y., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2023
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17. A CNN-Based Approach for Face Recognition Under Different Orientations

Author

Ahila Priyadharshini, R., Hariharan, S., Jagadeeswara, R., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2023
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18. Diabetes Twitter Classification Using Hybrid GSA

Author

Diviya Prabha, V., Rathipriya, R., Kacprzyk, Janusz, Series Editor, Jain, Lakhmi C., Series Editor, Nayak, Janmenjoy, editor, Das, Asit Kumar, editor, Naik, Bighnaraj, editor, Meher, Saroj K., editor, and Brahnam, Sheryl, editor

Published
2023
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19. Deep Learning Based Framework for Breast Cancer Mammography Classification Using Resnet50

Author

Dash, Pandit Byomakesha, Behera, H. S., Senapati, Manas Ranjan, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2022
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20. Deep Learning Based Facial Mask Detection Using Mobilenetv2

Author

Goswami, Arijit, Bhattacharjee, Biswarup, Debnath, Rahul, Sikder, Ankita, Basu Pal, Sudipta, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2022
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21. Deep Learning Approach for Anamoly Detection in CAN Bus Network: An Intelligent LSTM-Based Intrusion Detection System

Author

Kishore, Ch. Ravi, Rao, D. Chandrasekhar, Behera, H. S., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2022
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22. Low-Computation IoT System Framework for Face Recognition Using Deep Learning Algorithm

Author

Paul, Jayanta, Bhowmick, Rajat Subhra, Sil, Jaya, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2022
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23. A Proposed Federated Learning Model for Vaccination Tweets

Author

Singh, Medha, Madhulika, Bansal, Shefali, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2022
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24. Deep Learning Based Identification of Three Exotic Carps

Author

Banerjee, Arnab, Chakraborty, Roopsia, Behra, Samarendra, Srinivasan, Nagesh Talagunda, Bhattacharjee, Debotosh, Das, Nibaran, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2022
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25. A Deep Learning Based Approach to Measure Confidence for Virtual Interviews

Author

Rungta, Ravi Kumar, Jaiswal, Parth, Tripathy, B. K., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2022
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26. Deep Features for COVID-19 Detection: Performance Evaluation on Multiple Classifiers

Author

Lasker, Asifuzzaman, Ghosh, Mridul, Obaidullah, Sk Md, Chakraborty, Chandan, Roy, Kaushik, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2022
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27. Image Splicing Detection Using Feature Based Machine Learning Methods and Deep Learning Mechanisms

Author

Das, Debjit, Naskar, Ruchira, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2022
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28. TextUnet: Text Segmentation Using U-net

Author

Banerjee, Awritrojit, Ghoshal, Ranjit, Ghosal, Arijit, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Vimal, S., editor, and Pelusi, Danilo, editor

Published
2022
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29. Deep DenseNet and ResNet Approach for COVID-19 Prognosis: Experiments on Real CT Images

Author

Swapnarekha, H., Behera, Himansu Sekhar, Nayak, Janmenjoy, Naik, Bighnaraj, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Dutta, Soumi, editor, and Pelusi, Danilo, editor

Published
2022
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30. Representation-Learning-Based Fusion Model for Scene Classification Using Convolutional Neural Network (CNN) and Pre-trained CNNs as Feature Extractors

Author

Rukmangadha, Peddapalli Venkatappa, Das, Rik, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Dutta, Soumi, editor, and Pelusi, Danilo, editor

Published
2022
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31. A Deep Convolutional Neural Network-Based Approach for Handwritten Recognition System

Author

Sethy, Abhisek, Patra, Prashanta Kumar, Nayak, Soumya Ranjan, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Dutta, Soumi, editor, and Pelusi, Danilo, editor

Published
2022
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32. Recent Advances on Mammogram Imaging for Breast Cancer Analysis: A Technological Review

Author

Mann, Lovedeep, Ranjan Nayak, Soumya, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Dutta, Soumi, editor, and Pelusi, Danilo, editor

Published
2022
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33. Feature Mining and Classification of Microarray Data Using Modified ResNet-SVM Architecture

Author

Bej, Anirban, Roy, Indrani, Chanda, Suchinta, Ghosh, Arijit, Kumar Pati, Soumen, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Dutta, Soumi, editor, and Pelusi, Danilo, editor

Published
2022
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34. Performance Evaluation of a Progression of Recommender System Models

Author

Kushal, Krishna, Shetty, Sujala D., Jose, Aljo, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Dutta, Soumi, editor, and Pelusi, Danilo, editor

Published
2022
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35. AI Conversational Chatbot for Primary Healthcare Diagnosis Using Natural Language Processing and Deep Learning

Author

Kurup, Greeshma, Shetty, Sujala D., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Dutta, Soumi, editor, and Pelusi, Danilo, editor

Published
2022
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36. Image Caption Generation Using Neural Network Models and LSTM Hierarchical Structure

Author

Waghmare, Prachi M., Shinde, Swati V., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Dutta, Soumi, editor, and Pelusi, Danilo, editor

Published
2022
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37. Secured Cloud System Using Deep Learning

Author

Kumar, Surya Bhushan, Mukherjee, Kuntal, Dwivedi, Rajiv Kumar, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Dutta, Soumi, editor, and Pelusi, Danilo, editor

Published
2020
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38. Disease Feature Extraction and Disease Detection from Paddy Crops Using Image Processing and Deep Learning Technique

Author

Das, Sunanda, Roy, Debanik, Das, Payel, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Dutta, Soumi, editor, and Pelusi, Danilo, editor

Published
2020
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39. Feature Engineering for Cardio-Thoracic Disease Detection from NIH Chest Radiographs

Author

Mukherjee, Avishek, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Dutta, Soumi, editor, and Pelusi, Danilo, editor

Published
2020
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40. Deep Recurrent Neural Network (Deep-RNN) for Classification of Nonlinear Data

Author

Mishra, Debasmita, Naik, Bighnaraj, Sahoo, Ronali Madhusmita, Nayak, Janmenjoy, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Dutta, Soumi, editor, and Pelusi, Danilo, editor

Published
2020
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41. Deep Learning-Based Automated Feature Engineering for Rice Leaf Disease Prediction

Author

Das, Ankur, Mallick, Chirantana, Dutta, Soumi, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Dutta, Soumi, editor, and Pelusi, Danilo, editor

Published
2020
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42. Multimodal Segmentation of Brain Tumours in Volumetric MRI Scans of the Brain Using Time-Distributed U-Net

Author

Dutta, Jeet, Chakraborty, Debajyoti, Mondal, Debanjan, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Pati, Soumen Kumar, editor, and Pelusi, Danilo, editor

Published
2020
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43. Detection of Diseases in Potato Leaves Using Transfer Learning

Author

Dasgupta, Soumik Ranjan, Rakshit, Somnath, Mondal, Dhiman, Kole, Dipak Kumar, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Pati, Soumen Kumar, editor, and Pelusi, Danilo, editor

Published
2020
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44. Detection and Classification of Earthquake Images from Online Social Media

Author

Layek, Ashish Kumar, Chatterjee, Amreeta, Chatterjee, Debanjan, Biswas, Samit, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Pati, Soumen Kumar, editor, and Pelusi, Danilo, editor

Published
2020
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45. Deep Learning Approach in Predicting Personal Traits Based on the Way User Type on Touchscreen

Author

Roy, Soumen, Roy, Utpal, Sinha, D. D., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Das, Asit Kumar, editor, Nayak, Janmenjoy, editor, Naik, Bighnaraj, editor, Pati, Soumen Kumar, editor, and Pelusi, Danilo, editor

Published
2020
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46. An Enhanced Deep Learning Model for Duplicate Question Pairs Recognition

Author

Abishek, K., Hariharan, Basuthkar Rajaram, Valliyammai, C., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Nayak, Janmenjoy, editor, Abraham, Ajith, editor, Krishna, B. Murali, editor, Chandra Sekhar, G. T., editor, and Das, Asit Kumar, editor

Published
2019
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47. Deep reinforced neural network model for cyto-spectroscopic analysis of epigenetic markers for automated oral cancer risk prediction.

Author

Ghosh, Aritri, Chaudhuri, Dwiteeya, Adhikary, Shreya, Chatterjee, Kabita, Roychowdhury, Amit, Das, Asit Kumar, and Barui, Ananya

Subjects
*ARTIFICIAL neural networks, *ORAL cancer, *DISEASE risk factors, *FOURIER transform infrared spectroscopy, *HUMAN fingerprints, *CANCER diagnosis, *DEEP learning
Abstract

Understanding epigenetic changes can provide vital information for early stage oral cancer diagnosis. Vibrational spectroscopy methods like Raman spectroscopy (RS) and Fourier Transform Infrared Spectroscopy (FTIR) can provide several advantages over conventional molecular biology methods, by incorporating information from fingerprint regions. Moreover, application of advanced spectral analysis tools like deep learning (DL) techniques can be efficiently applied for analyzing the large spectral dataset and extracting the vital features. Epigenetic changes are identifies in oral epithelial cells of healthy individuals, oral leucoplakia and squamous cell carcinoma patients through analysis of Raman (400-1800 ​cm−1) and FTIR data (700-2000 ​cm−1). Deep reinforced neural network (DRNN) model is employed to classify the epigenetic changes identified from the Raman and FTIR spectra. Feature extraction layer of DL model uses peak detection layer and reinforced learning layer to identify significant epigenetic features. Classification layer is made up of N numbers of back propagated Artificial Neural Network (ANN) layers. DL model developed is fully automated and overcome the wave shift problem of spectroscopic data. Testing accuracy of the proposed DRNN model is 83.33%. Class wise accuracies for NRML, OLPK and OSCC are 83.3%, 87% and 95.24%, respectively. Proposed DRNN model attains an overall ROC of 0.88 Present study employs combination of two complementary vibrational spectroscopy methods for oral cancer detection and chemometric analysis of the spectral features with DRNN mode. Identification of the epigenetic changes and utilization of the knowledge in cancer prediction will enable the proposed study to develop smart point-of-care diagnostic system. • Epigenetic changes are involved in onset of oral cancer at early stages. • Complimentary vibrational spectroscopic methods map epigenetic changes of exfoliated oral epithelial cells. • Epigenetic features identified by reinforced learning-feature extraction block and artificial neural network-classification block. • System is effective in classifying ​healthy individual, oral leukoplakia and squamous cell carcinoma patients. • System shows non-invasive, automated, rapid and precisive deep learning model aimed for smart healthcare systems. [ABSTRACT FROM AUTHOR]

Published
2022
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