Descriptor: "Convolutional neural network" - Searchworks@Jio Institute Digital Library Search Results

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128,553 results on '"Convolutional neural network"'

1. Classification of materials in cylindrical workpieces using image processing and machine learning techniques.

Author: Maiti, Chayan and Muthuswamy, Sreekumar
Subjects: CONVOLUTIONAL neural networks, MACHINE learning, IMAGE processing, COMPUTERS, MACHINING
Abstract: Smart machine tools must be able to recognise the materials they interact with, in order to independently decide on what actions to be taken whenever needed. The purpose of this research is to offer a generic method to automate material identification and classification task utilising image processing and machine learning techniques so as to improve the cognitive capabilities of machine tools. A dataset of four material surfaces; Copper, Aluminium, Stainless Steel, and Bronze is generated and the RGB data are extracted. These colour channels are utilised as input features to train the machine learning algorithms. Convolutional Neural Network (CNN) and other classification methods like Support Vector Machine (SVM), Decision Trees, and k-Nearest Neighbour are also used to classify material images based on the generated dataset. A unique generalised technique, based on CNN, has been proposed to accurately recognise and categorise round surfaced materials during machining. The accuracy achieved by the classifier has reached 100% during training and testing. Test images are used to confirm the proposed methodology's capability to distinguish between materials based on various illumination environments and camera positions. [ABSTRACT FROM AUTHOR]
Published: 2024
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2. Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN.

Author: Zhou, Hanting, Chen, Wenhe, Shen, Changqing, Cheng, Longsheng, and Xia, Min
Subjects: FAULT diagnosis, CONVOLUTIONAL neural networks, HILBERT-Huang transform, INDEPENDENT component analysis, ROLLER bearings
Abstract: With the advances in smart sensing and data mining technologies of Industry 4.0, condition monitoring of key equipment in manufacturing has brought transformations in production and maintenance management. However, in practical applications, noise from both the working environment and the sensing devices is inevitable, which causes the low performance of data-driven fault diagnosis. To address this challenge, the paper develops a robust two-stage joint denoising method by integrating ensemble empirical mode decomposition (EEMD) and independent component analysis (ICA), with fuzzy entropy discriminant as a threshold. The developed method can filter noisy components from decomposed modal components and reconstruct a new signal with denoised independent components. Moreover, an improved convolutional neural network (CNN) model based on the VGG structure has been constructed as a classifier to achieve end-to-end fault diagnosis. The experimental results demonstrate the high accuracy and superior anti-interference capability of the proposed method for rolling bearing fault diagnosis under various noise levels. Compared with state-of-the-art denoising methods and fault diagnosis methods, the proposed method achieves higher accuracy and robustness under variable noise interference. The proposed method can be applied to broader fault diagnosis tasks of production equipment in complex practical environments. [ABSTRACT FROM AUTHOR]
Published: 2023
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3. A shallow 2D-CNN network for crack detection in concrete structures

Author: Honarjoo, Ahmad and Darvishan, Ehsan
Published: 2024
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4. Multiclass skin lesion classification using image augmentation technique and transfer learning models

Author: NagaSwetha R, Vimal K.Shrivastava, and Parvathi, K.
Published: 2024
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5. DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Data.

Author: Kim, Hyun, Zhang, Chen, Reher, Raphael, Wang, Mingxun, Alexander, Kelsey, Nothias, Louis-Félix, Han, Yoo, Shin, Hyeji, Lee, Ki, Lee, Kyu, Kim, Myeong, Dorrestein, Pieter, Cottrell, Garrison, and Gerwick, William
Subjects: Convolutional neural network, Nuclear magnetic resonance, Structure prediction
Abstract: The identification of molecular structure is essential for understanding chemical diversity and for developing drug leads from small molecules. Nevertheless, the structure elucidation of small molecules by Nuclear Magnetic Resonance (NMR) experiments is often a long and non-trivial process that relies on years of training. To achieve this process efficiently, several spectral databases have been established to retrieve reference NMR spectra. However, the number of reference NMR spectra available is limited and has mostly facilitated annotation of commercially available derivatives. Here, we introduce DeepSAT, a neural network-based structure annotation and scaffold prediction system that directly extracts the chemical features associated with molecular structures from their NMR spectra. Using only the 1H-13C HSQC spectrum, DeepSAT identifies related known compounds and thus efficiently assists in the identification of molecular structures. DeepSAT is expected to accelerate chemical and biomedical research by accelerating the identification of molecular structures.
Published: 2023

6. Identification of supraventricular tachycardia mechanisms with surface electrocardiograms using a convolutional neural network.

Author: Higuchi, Satoshi, Li, Roland, Gerstenfeld, Edward, Liem, L, Im, Sung, Kalantarian, Shadi, Ansari, Minhaj, Abreau, Sean, Barrios, Joshua, Scheinman, Melvin, and Tison, Geoffrey
Subjects: Artificial intelligence, Convolutional neural network, Electrocardiogram, Long RP tachycardia, Machine learning, Supraventricular tachycardia
Abstract: BACKGROUND: It remains difficult to definitively distinguish supraventricular tachycardia (SVT) mechanisms using a 12-lead electrocardiogram (ECG) alone. Machine learning may identify visually imperceptible changes on 12-lead ECGs and may improve ability to determine SVT mechanisms. OBJECTIVE: We sought to develop a convolutional neural network (CNN) that identifies the SVT mechanism according to the gold standard of SVT ablation and to compare CNN performance against experienced electrophysiologists among patients with atrioventricular nodal re-entrant tachycardia (AVNRT), atrioventricular reciprocating tachycardia (AVRT), and atrial tachycardia (AT). METHODS: All patients with 12-lead surface ECG during sinus rhythm and SVT and had successful SVT ablation from 2013 to 2020 were included. A CNN was trained using data from 1505 surface ECGs that were split into 1287 training and 218 test ECG datasets. We compared the CNN performance against independent adjudication by 2 experienced cardiac electrophysiologists on the test dataset. RESULTS: Our dataset comprised 1505 ECGs (368 AVNRT, 304 AVRT, 95 AT, and 738 sinus rhythm) from 725 patients. The CNN areas under the receiver-operating characteristic curve for AVNRT, AVRT, and AT were 0.909, 0.867, and 0.817, respectively. When fixing the specificity of the CNN to the electrophysiologist adjudicators specificity, the CNN identified all SVT classes with higher sensitivity: (1) AVNRT (91.7% vs 65.9%), (2) AVRT (78.4% vs 63.6%), and (3) AT (61.5% vs 50.0%). CONCLUSION: A CNN can be trained to differentiate SVT mechanisms from surface 12-lead ECGs with high overall performance, achieving similar performance to experienced electrophysiologists at fixed specificities.
Published: 2023

7. Automated Detection of Posterior Vitreous Detachment on OCT Using Computer Vision and Deep Learning Algorithms

Author: Li, Alexa L, Feng, Moira, Wang, Zixi, Baxter, Sally L, Huang, Lingling, Arnett, Justin, Bartsch, Dirk-Uwe G, Kuo, David E, Saseendrakumar, Bharanidharan Radha, Guo, Joy, and Nudleman, Eric
Subjects: Eye Disease and Disorders of Vision, Bioengineering, Clinical Research, Neurosciences, Biomedical Imaging, AI, artificial intelligence, AUROC, area under the receiver operator characteristic curve, Automated detection, CNN, convolutional neural network, DL, deep learning, Deep Learning, ILM, internal limiting membrane, OCT, PVD, posterior vitreous detachment, Posterior vitreous detachment, ViT, vision transformers
Abstract: ObjectiveTo develop automated algorithms for the detection of posterior vitreous detachment (PVD) using OCT imaging.DesignEvaluation of a diagnostic test or technology.SubjectsOverall, 42 385 consecutive OCT images (865 volumetric OCT scans) obtained with Heidelberg Spectralis from 865 eyes from 464 patients at an academic retina clinic between October 2020 and December 2021 were retrospectively reviewed.MethodsWe developed a customized computer vision algorithm based on image filtering and edge detection to detect the posterior vitreous cortex for the determination of PVD status. A second deep learning (DL) image classification model based on convolutional neural networks and ResNet-50 architecture was also trained to identify PVD status from OCT images. The training dataset consisted of 674 OCT volume scans (33 026 OCT images), while the validation testing set consisted of 73 OCT volume scans (3577 OCT images). Overall, 118 OCT volume scans (5782 OCT images) were used as a separate external testing dataset.Main outcome measuresAccuracy, sensitivity, specificity, F1-scores, and area under the receiver operator characteristic curves (AUROCs) were measured to assess the performance of the automated algorithms.ResultsBoth the customized computer vision algorithm and DL model results were largely in agreement with the PVD status labeled by trained graders. The DL approach achieved an accuracy of 90.7% and an F1-score of 0.932 with a sensitivity of 100% and a specificity of 74.5% for PVD detection from an OCT volume scan. The AUROC was 89% at the image level and 96% at the volume level for the DL model. The customized computer vision algorithm attained an accuracy of 89.5% and an F1-score of 0.912 with a sensitivity of 91.9% and a specificity of 86.1% on the same task.ConclusionsBoth the computer vision algorithm and the DL model applied on OCT imaging enabled reliable detection of PVD status, demonstrating the potential for OCT-based automated PVD status classification to assist with vitreoretinal surgical planning.Financial disclosuresProprietary or commercial disclosure may be found after the references.
Published: 2023

8. Prediction Using a Fuzzy Inference System in the Classification Layer of a Convolutional Neural Network Replacing the Softmax Function

Author: Poma, Yutzil, Melin, Patricia, Kacprzyk, Janusz, Series Editor, Castillo, Oscar, editor, and Melin, Patricia, editor
Published: 2024
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9. SNR Estimation Based on Machine Learned Modulation Classification for Link Adaptation

Author: Vijayan, Vishnupriya, Gopakumar, Devika, Jose, Renu, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, George, V. I., editor, Santhosh, K. V., editor, and Lakshminarayanan, Samavedham, editor
Published: 2024
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10. Prediction Cows Estrus Images Using Convolutional Neural Network with Optimized Parameters by the Artificial Immune System Algorithm

Author: Ninphet, Watchara, Amm-Dee, Nopadol, Sangsongfa, Adisak, 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, Meesad, Phayung, editor, Sodsee, Sunantha, editor, Jitsakul, Watchareewan, editor, and Tangwannawit, Sakchai, editor
Published: 2024
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11. Facial Expression Recognition Using Convolutional Neural Network

Author: Agrawal, Ved, Bamb, Chirag, Mata, Harsh, Dhunde, Harshal, Hablani, Ramchand, 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, Senjyu, Tomonobu, editor, So–In, Chakchai, editor, and Joshi, Amit, editor
Published: 2024
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12. Deep Learning Techniques for Computer-Aided Diagnosis of Various Cancers

Author: Aggarwal, Naveen, Saini, Sumindar Kaur, Baghel, Shashank, Juneja, Mamta, Sharma, Siddharth, Section editor, Sobti, R. C., editor, Ganguly, Nirmal K., editor, and Kumar, Rakesh, editor
Published: 2024
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13. Coffee Leaf Diseases Quadruple Classifier (CLQC) Model Using Deep Learning

Author: AL-Rashidi, Jameela F., AL-Enazi, Lena A., AL-Mutairi, Rawan F., AL-Dukhayil, Shahd Y., AL-Abas, Wiaam A., Ibrahim, Dina M., Celebi, Emre, Series Editor, Chen, Jingdong, Series Editor, Gopi, E. S., Series Editor, Neustein, Amy, Series Editor, Liotta, Antonio, Series Editor, Di Mauro, Mario, Series Editor, Shaikh, Asadullah, editor, Alghamdi, Abdullah, editor, Tan, Qing, editor, and El Emary, Ibrahiem M. M., editor
Published: 2024
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14. A regression network age estimation method with ordered anchor replacement

Author: Tan, Tian, Hu, Chunlong, Li, Kan, Editor-in-Chief, Li, Qingyong, Associate Editor, Fournier-Viger, Philippe, Series Editor, Hong, Wei-Chiang, Series Editor, Liang, Xun, Series Editor, Wang, Long, Series Editor, Xu, Xuesong, Series Editor, Subramaniyam, Kannimuthu, editor, Leng, Lu, editor, Li, Jing, editor, and Wheeb, Ali Hussein, editor
Published: 2024
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15. Service for Checking Students’ Written Work Using a Neural Network

Author: Barskaya, Galina B., Chernysheva, Tatiana Y., Bakanovskaya, Ludmila N., Sbrodov, Stanislav O., Shestakova, Anastasiya O., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, and Gibadullin, Arthur, editor
Published: 2024
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16. U-Nets and Multispectral Images for Detecting the Surface Water of Rivers via SAR Images

Author: Orlandi, Diana, Galatolo, Federico A., La Rosa, Alessandro, Cimino, Mario G. C. A., Foglia, Pierfrancesco, Pagli, Carolina, Prete, Cosimo A., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Grueau, Cédric, editor, Rodrigues, Armanda, editor, and Ragia, Lemonia, editor
Published: 2024
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17. A System Detection of Atrial Fibrillation Using One ECG Derivation and Inductive Transfer Learning

Author: Mora, Hermes J., Echaveguren, Tomás, Pino, Esteban J., Magjarević, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Pino, Esteban, editor, and de Carvalho, Paulo, editor
Published: 2024
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18. PageCNNs: Convolutional Neural Networks for Multi-label Chinese Webpage Classification with Multi-information Fusion

Author: Zheng, Jiawei, Chen, Junying, Cai, Yi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Song, Xiangyu, editor, Feng, Ruyi, editor, Chen, Yunliang, editor, Li, Jianxin, editor, and Min, Geyong, editor
Published: 2024
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19. Analysis of Hyperparameters for Workout Movements Classification Using the Convolutional Neural Network Algorithm

Author: Abdillah Pronosumarto, M. Hasyim, Sambhuwara, Jiwa, Koredianto Usman, S. T., Fu’Adah, R. Yunendah Nur, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Triwiyanto, Triwiyanto, editor, Rizal, Achmad, editor, and Caesarendra, Wahyu, editor
Published: 2024
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20. Enhancing Infant Safety: Performance Analysis of Deep Learning Method on Development Board for Real-Time Monitoring

Author: Prasetyo, Nugroho Budi, Rahmawati, Dien, Priharti, Wahmisari, Dhalhaz, Muhammad, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Triwiyanto, Triwiyanto, editor, Rizal, Achmad, editor, and Caesarendra, Wahyu, editor
Published: 2024
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21. Fraudulent E-Commerce Website Detection Using Convolutional Neural Network Based on Image Features

Author: Zamry, Nurfazrina Mohd, Zainal, Anazida, Khoo, Eric, Kassim, Mohamad Nizam, Zainudin, Zanariah, Xhafa, Fatos, Series Editor, Bee Wah, Yap, editor, Al-Jumeily OBE, Dhiya, editor, and Berry, Michael W., editor
Published: 2024
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22. Artificial Intelligence (AI) Empowered Sign Language Recognition Using Hybrid Neural Networks

Author: Saxena, Ambar, Sultanova, Nailya, Mustafina, Jamila, Ismail, Noor Lees, Xhafa, Fatos, Series Editor, Bee Wah, Yap, editor, Al-Jumeily OBE, Dhiya, editor, and Berry, Michael W., editor
Published: 2024
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23. Boosting Diagnostic Accuracy of Osteoporosis in Knee Radiograph Through Fine-Tuning CNN

Author: Kumar, Saumya, Goswami, Puneet, Batra, Shivani, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sachdeva, Shelly, editor, and Watanobe, Yutaka, editor
Published: 2024
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24. Convolutional Neural Network Prediction Error Algorithm Based on Block Classification Enhanced

Author: Duan, Hongtao, Ma, Ruihe, Wang, Songkun, Xian, Yongjin, Wang, Chunpeng, Zhao, Guanxu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ma, Bin, editor, Li, Jian, editor, and Li, Qi, editor
Published: 2024
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25. DNA Steganalysis Based on Multi-dimensional Feature Extraction and Fusion

Author: Wang, Zhuang, Xia, Jinyi, Huang, Kaibo, Guo, Shengnan, Huang, Chenwei, Yang, Zhongliang, Zhou, Linna, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ma, Bin, editor, Li, Jian, editor, and Li, Qi, editor
Published: 2024
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26. Cotton Plant Disease Detection Using Deep Learning

Author: Chethana, H. T., Kunal, S., Jain, Sahil, Skandhan, M., Praveen, Suloni, Swathi Meghana, K. R., Bansal, Jagdish Chand, Series Editor, Deep, Kusum, Series Editor, Nagar, Atulya K., Series Editor, Pandit, Manjaree, editor, Gaur, M. K., editor, and Kumar, Sandeep, editor
Published: 2024
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27. Detection of Diabetic Retinopathy Using Deep Learning

Author: Chethana, H. T., Gaurav, P. R., Kunal, S., Jain, Sahil, Meghana, K. R. Swathi, Bansal, Jagdish Chand, Series Editor, Deep, Kusum, Series Editor, Nagar, Atulya K., Series Editor, Pandit, Manjaree, editor, Gaur, M. K., editor, and Kumar, Sandeep, editor
Published: 2024
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28. Investigating Transfer Learning Models for Lung Cancer Detection from CT Scans: A Comparative Evaluation

Author: Satsangi, Amol, Srinivas, K., Charan Kumari, A., Bansal, Jagdish Chand, Series Editor, Deep, Kusum, Series Editor, Nagar, Atulya K., Series Editor, Pandit, Manjaree, editor, Gaur, M. K., editor, and Kumar, Sandeep, editor
Published: 2024
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29. Spoken Language Identification System Using Convolutional Neural Networks

Author: Bharathi, B., Meenakshi, A., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Chakravarthi, Bharathi Raja, editor, B, Bharathi, editor, García Cumbreras, Miguel Ángel, editor, Jiménez Zafra, Salud María, editor, Subramanian, Malliga, editor, Shanmugavadivel, Kogilavani, editor, and Nakov, Preslav, editor
Published: 2024
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30. Smart Video Analysis of Hazard Situation Using CNN Model

Author: Iyyappan, M., Chinnaiyan, R., Singh, Mumal, Gupta, Harshal, Ashwin, B., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Bhateja, Vikrant, editor, Chowdary, P. Satish Rama, editor, Flores-Fuentes, Wendy, editor, Urooj, Shabana, editor, and Sankar Dhar, Rudra, editor
Published: 2024
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31. Identification of Cotton Leaf Curl Disease Using CNN and Vision Transformer

Author: Biju, Goel, Khan, Asiya, Walker, David, Qadri, Salman, Hssan, Qaim, Mahmood, Khalid, Hanan, Abdul, 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, and Arai, Kohei, editor
Published: 2024
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32. Vision-Based Multi-detection and Tracking of Vehicles Using the Convolutional Neural Network Model YOLO

Author: Moaga, Mpho, Chunling, Tu, Owolawi, Pius, 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, and Arai, Kohei, editor
Published: 2024
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33. Ontology-Based Post-Hoc Neural Network Explanations Via Simultaneous Concept Extraction

Author: Ponomarev, Andrew, Agafonov, Anton, 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, and Arai, Kohei, editor
Published: 2024
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34. Classification of Pneumonia from Chest X-Ray Image Using Convolutional Neural Network

Author: Solanki, Kamini, Vaidya, Nilay, Undavia, Jaimin, Gor, Kaushal, Panchal, Jay, 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, Joshi, Amit, editor, Mahmud, Mufti, editor, Ragel, Roshan G., editor, and Karthik, S., editor
Published: 2024
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35. Microarray Data Classification and Gene Selection Using Convolutional Neural Network

Author: Jansi Rani, M., Karuppasamy, M., Poorani, 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, Joshi, Amit, editor, Mahmud, Mufti, editor, Ragel, Roshan G., editor, and Karthik, S., editor
Published: 2024
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36. Detection Method of CNN-Based Classification for Conductive Particles in TFT-LCD Manufacturing

Author: He, Shi, Li, Zhongkui, Feng, Zibing, Xie, Xufen, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Wang, Wei, editor, Liu, Xin, editor, Na, Zhenyu, editor, and Zhang, Baoju, editor
Published: 2024
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37. Automated Age-Related Macular Degeneration Diagnosis in Retinal Fundus Images via ViT

Author: Vannadil, Niranjana, Kokil, Priyanka, Celebi, Emre, Series Editor, Chen, Jingdong, Series Editor, Gopi, E. S., Series Editor, Neustein, Amy, Series Editor, Liotta, Antonio, Series Editor, Di Mauro, Mario, Series Editor, and Maheswaran, P, editor
Published: 2024
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38. Automatic Human Activity Detection Using Novel Deep Learning Architecture

Author: Haldorai, Anandakumar, R, Babitha Lincy, Murugan, Suriya, Balakrishnan, Minu, Chlamtac, Imrich, Series Editor, Haldorai, Anandakumar, R, Babitha Lincy, Murugan, Suriya, and Balakrishnan, Minu
Published: 2024
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39. Hemorrhage Detection from Whole-Body CT Images Using Deep Learning

Author: Haldorai, Anandakumar, R, Babitha Lincy, Murugan, Suriya, Balakrishnan, Minu, Chlamtac, Imrich, Series Editor, Haldorai, Anandakumar, R, Babitha Lincy, Murugan, Suriya, and Balakrishnan, Minu
Published: 2024
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40. A Comparative Analysis of Short Term Load Forecasting Using LSTM, CNN, and Hybrid CNN-LSTM

Author: Thakre, Prajwal, Khedkar, Mohan, Vardhan, B. V. Surya, Panda, Gayadhar, editor, Ramasamy, Thaiyal Naayagi, editor, Ben Elghali, Seifeddine, editor, and Affijulla, Shaik, editor
Published: 2024
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41. Convolutional Neural Networks-Based Histopathological Image Classification

Author: Vishnoi, Susheela, 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, Swagatam, editor, Saha, Snehanshu, editor, Coello, Carlos A. Coello, editor, Rathore, Hemant, editor, and Bansal, Jagdish Chand, editor
Published: 2024
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42. Fine-Tuned CNN for Clothing Image Classification on Mobile Edge Computing

Author: Babuc, Diogen, Fortiş, Alexandra-Emilia, Xhafa, Fatos, Series Editor, and Barolli, Leonard, editor
Published: 2024
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43. An Efficient Method for Lung Cancer Image Segmentation and Nodule Type Classification Using Deep Learning Algorithms

Author: Hrizi, Dorsaf, Tbarki, Khaoula, Elasmi, Sadok, Xhafa, Fatos, Series Editor, and Barolli, Leonard, editor
Published: 2024
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44. Speaker Identification Under Noisy Conditions Using Hybrid Deep Learning Model

Author: Lambamo, Wondimu, Srinivasagan, Ramasamy, Jifara, Worku, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Debelee, Taye Girma, editor, Ibenthal, Achim, editor, Schwenker, Friedhelm, editor, and Megersa Ayano, Yehualashet, editor
Published: 2024
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45. Automated Landmark Detection for AR-Based Craniofacial Surgical Assistance System

Author: Byun, Sanghyun, Ibrahim, Muhammad Twaha, Gopi, M., Majumder, Aditi, Sayadi, Lohrasb R., Hamdan, Usama S., Vyas, Raj M., Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Nakamatsu, Kazumi, editor, Patnaik, Srikanta, editor, and Kountchev, Roumen, editor
Published: 2024
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46. 3D Object Reconstruction with Deep Learning

Author: Aremu, Stephen S., Taherkhani, Aboozar, Liu, Chang, Yang, Shengxiang, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Shi, Zhongzhi, editor, Torresen, Jim, editor, and Yang, Shengxiang, editor
Published: 2024
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47. The Implementation of Deep Learning Technique in Mobile Application as a Preservation and Learning Media of Javanese Letter

Author: Sutjiadi, Raymond, Pattiasina, Timothy John, Santoso, Peter, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Tunio, Muhammad Nawaz, editor, Sánchez, Angeles, editor, Hatem, Yasmin Moanis Latif, editor, and Zakaria, Ayman M., editor
Published: 2024
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48. Dynamic Occlusion Expression Recognition Based on Improved GAN

Author: Liang, Minchao, Zhang, Mingming, Liu, Kai, Li, Xianhui, Wang, Yongli, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Jin, Hai, editor, Pan, Yi, editor, and Lu, Jianfeng, editor
Published: 2024
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49. A Smart Surveillance System to Detect Modern Gun Using YOLOv5 Algorithm: A Deep Learning Approach

Author: Al Amin, Md., Paul, Bikash Kumar, Bansal, Jagdish Chand, Series Editor, Deep, Kusum, Series Editor, Nagar, Atulya K., Series Editor, and Uddin, Mohammad Shorif, editor
Published: 2024
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50. Emotion Recognition in Speech Using Convolutional Neural Networks (CNNs)

Author: Desai, Bhavya, Shah, Karan, Savani, Vijay, Bansal, Jagdish Chand, Series Editor, Deep, Kusum, Series Editor, Nagar, Atulya K., Series Editor, and Uddin, Mohammad Shorif, editor
Published: 2024
Full Text: View/download PDF

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