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58 results on '"Abawajy, Jemal"'

3. An Adaptive Trust Boundary Protection for IIoT Networks Using Deep-Learning Feature-Extraction-Based Semisupervised Model.

Author

Hassan, Mohammad Mehedi, Huda, Shamsul, Sharmeen, Shaila, Abawajy, Jemal, and Fortino, Giancarlo

Abstract

The rapid development of Internet of Things (IoT) platforms provides the industrial domain with many critical solutions, such as joint venture virtual production systems. However, the extensive interconnection of industrial systems with corporate systems in industrial Internet of Things (IIoT) networks exposes the industrial domain to severe cyber risks. Because of many proprietary multilevel protocols, limited upgrade opportunities, heterogeneous communication infrastructures, and a very large trust boundary, conventional IT security fails to prevent cyberattacks against IIoT networks. Recent secure protocols, such as secure distributed network protocol (DNP 3.0), are limited to weak hash functions for critical response time requirements. As a complementary, we propose an adaptive trust boundary protection for IIoT networks using a deep-learning, feature-extraction-based semisupervised model. Our proposed approach is novel in that it is compatible with multilevel protocols of IIoT. The proposed approach does not require any manual effort to update the attack databases and can learn the rapidly changing natures of unknown attack models using unsupervised learnings and unlabeled data from the wild. Therefore, the proposed approach is resilient to emerging cyberattacks and their dynamic nature. The proposed approach has been verified using a real IIoT testbed. Extensive experimental analysis of the attack models and results shows that the proposed approach significantly improves the identification of attacks over conventional security control techniques. [ABSTRACT FROM AUTHOR]

Published
2021
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4. A neural network based deep learning approach for efficient segmentation of brain tumor medical image data.

Author

Veeramuthu, A., Meenakshi, S., Ashok Kumar, K., Vijayakumar, V., Subramaniyaswamy, V., Abawajy, Jemal, and Yang, Longzhi

Subjects
DEEP learning, BRAIN tumors, ARTIFICIAL neural networks, DIAGNOSTIC imaging, IMAGE segmentation, COMPUTERS
Abstract

Brain tumor image segmentation is process of locating the interesting area in terms of objects, like tumor and extracting it for the further process of the image and getting the boundaries of the image for analysis. The bio-medical brain tumor image segmentation is a great challenging field for the today world active researchers with the standardized image datasets and various metrics used for evaluating and comparing the performance of the new algorithm with existing segmentation algorithms. In recent development, these problems are addressed using various image manipulation tools and rapid growth of computer hardware enhancement. Image segmentation was done in three ways: (1) Manual-based (2) Semi-automated-based (3) Fully automated-based. But still be a short of research in the field of brain tumor segmentation and accurate identification of tumor cells. To overcome all the above-mentioned challenges and complexity of the brain tumor segmentation, it need to understand the pre-processing of the image like, registering the image, correction of bias in image, and non-brain tissue removal. In this paper, we propose a new methodology for segmenting the brain tumor from the affected brain image in a significantly efficient way by using deep learning method. [ABSTRACT FROM AUTHOR]

Published
2019
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5. A deep learning approach to electric energy consumption modeling.

Author

Balaji, A. Jayanth, Harish Ram, D.S., Nair, Binoy B., Vijayakumar, V., Subramaniyaswamy, V., Abawajy, Jemal, and Yang, Longzhi

Subjects
DEEP learning, ENERGY consumption forecasting, ENERGY consumption, ELECTRIC power consumption, SHORT-term memory, MACHINE learning
Abstract

Automated metering Infrastructure (AMI) is an integral part of a smart grid. Employing the data collected by the AMI from the consumers to generate accurate electricity consumption forecasts can help the utility in significantly improving the quality of service delivered to the consumer. Design and empirical validation of machine learning based electric energy consumption forecasting systems, is presented in the present study. Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU) and Extreme Learning Machines (ELM) based models are designed and evaluated. One of the major aspects of the work is that the proposed consumption forecasting systems are designed as generalized models, i.e. one single model can be used to generate forecasts for any of the consumers considered, as opposed to the conventional technique of generating a separate model for each consumer. The forecasting systems are designed to generate half-hour-ahead and two-hour-ahead electric energy consumption forecasts. The proposed systems are validated on data for 485 Small and Medium Enterprise (SME) consumers in the CER electric energy consumption dataset. Results indicate that the models proposed in the present study result in good consumption forecast accuracy are hence, well suited for generating electric energy consumption forecast models. [ABSTRACT FROM AUTHOR]

Published
2019
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6. Deep learning architectures in emerging cloud computing architectures: Recent development, challenges and next research trend.

Author

Jauro, Fatsuma, Chiroma, Haruna, Gital, Abdulsalam Y., Almutairi, Mubarak, Abdulhamid, Shafi'i M., and Abawajy, Jemal H.

Subjects
CLOUD computing, DEEP learning, MACHINE learning, CONVOLUTIONAL neural networks, REINFORCEMENT learning
Abstract

The challenges of the conventional cloud computing paradigms motivated the emergence of the next generation cloud computing architectures. The emerging cloud computing architectures generate voluminous amount of data that are beyond the capability of the shallow intelligent algorithms to process. Deep learning algorithms, with their ability to process large-scale datasets, have recently started gaining tremendous attentions from researchers to solve problem in the emerging cloud computing architectures. However, no comprehensive literature review exists on the applications of deep learning architectures to solve complex problems in emerging cloud computing architectures. To fill this gap, we conducted a comprehensive literature survey on the applications of deep learning architectures in emerging cloud computing architectures. The survey shows that the adoption of deep learning architectures in emerging cloud computing architectures are increasingly becoming an interesting research area. We introduce a new taxonomy of deep learning architectures for emerging cloud computing architectures and provide deep insights into the current state-of-the-art active research works on deep learning to solve complex problems in emerging cloud computing architectures. The synthesis and analysis of the articles as well as their limitation are presented. A lot of challenges were identified in the literature and new future research directions to solve the identified challenges are presented. We believed that this article can serve as a reference guide to new researchers and an update for expert researchers to explore and develop more deep learning applications in the emerging cloud computing architectures. • The article presents literature review on the application of deep learning in emerging cloud computing architectures. • It presents a new taxonomy based on the deep learning and emerging cloud computing architectures. • A domain taxonomy on the application of the deep learning algorithms in emerging cloud computing is created. • Open research issues on deep learning in emerging cloud computing are identified. • New perspectives for solving the identified challenges are outlined. [ABSTRACT FROM AUTHOR]

Published
2020
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7. An adaptive framework against android privilege escalation threats using deep learning and semi-supervised approaches.

Author

Sharmeen, Shaila, Huda, Shamsul, Abawajy, Jemal, and Hassan, Mohammad Mehedi

Subjects
DEEP learning, SUPERVISED learning, DATA security failures, ADAPTABILITY (Personality)
Abstract

The immense popularity of Android makes it a primary target of malicious attackers and developers which brings a significant threat from malicious applications for android users through the escalation of the abuse of android permissions and inter-component communication (ICC) mechanism. Therefore, protecting android users from malicious developers and applications is crucial for Android market and communities. As malicious applications can hide their malicious behavior and change the behaviors frequently by abusing the android's ICC mechanism and related vulnerabilities, it is a challenging task to identify them accurately before it becomes a prevalent reason for users' privacy and data breach. Therefore, it is essential to develop such a malware detection engine that will ensure zero-day detection. In this research, we propose an adaptive framework which can learn the behavior of malware from the usage of permissions and their escalations. For our adaptive framework, we proposed two different detection models using deep learning and semi-supervised approaches. The proposed detection models can extract knowledge from unlabeled apps to identify the new malicious behavior using the unsupervised training nature of deep learning and clustering techniques and their integration to the supervised detection engine. Thus, our adaptive framework learns about new malicious apps and their behavior without supervised labeling by manual expert and can ensure zero-day protection. The proposed detection models have been tested on a real mobile malware test-bed and data set. The Experimental results show that the deep learning and semi-supervised based models achieve 99.024% of accuracies, more effective for zero-day protection and outperform other existing supervised detection engines. • An adaptive framework for mobile malware detection system is proposed. • Deep learning (DL) and semi-supervised approaches are proposed for malware detection. • Extracting knowledge from unlabelled unlabeled apps using unsupervised deep learning models. • The proposed framework is adaptive to the dynamic behavior of malicious apps. • Simulation results show significant improvement in accuracy of malware detection. [ABSTRACT FROM AUTHOR]

Published
2020
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8. Robust Heart Disease Prognosis: Integrating Extended Isolation Forest Outlier Detection with Advanced Prediction Models

Author

Javid, Irfan, Hassan, Norlida, Ghazali, Rozaida, Hassim, Yana Mazwin Mohmad, Batool, Tuba, Husaini, Noor Aida, Jafri, Syed Irteza Hussain, 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, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, Abawajy, Jemal H., editor, and Arbaiy, Nureize, editor

Published
2024
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9. Spiking Neural Network for Microseismic Events Detection Using Distributed Acoustic Sensing Data

Author

Shahabudin, Mohd Safuwan Bin, Krishnan, Nor Farisha Binti Muhamad, Mausor, Farahida Hanim Binti, 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, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, Abawajy, Jemal H., editor, and Arbaiy, Nureize, editor

Published
2024
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10. Forecasting of Congestive Cardiac Failure Using Deep Learning Algorithms

Author

Harish, H., Patrot, Anita, Murthy, A. Sreenivasa, Anushri, M. V., Meghana, S., Vinutha, M., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tomar, Ranjeet Singh, editor, Verma, Shekhar, editor, Chaurasia, Brijesh Kumar, editor, Singh, Vrijendra, editor, Abawajy, Jemal H., editor, Akashe, Shyam, editor, Hsiung, Pao-Ann, editor, and Prasad, Ramjee, editor

Published
2023
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11. Tumor Detection Using DWT and SVM in MRI Image

Author

Rusia, Rajat, Kurmi, Umashankar, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tomar, Ranjeet Singh, editor, Verma, Shekhar, editor, Chaurasia, Brijesh Kumar, editor, Singh, Vrijendra, editor, Abawajy, Jemal H., editor, Akashe, Shyam, editor, Hsiung, Pao-Ann, editor, and Prasad, Ramjee, editor

Published
2023
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12. COVID-19 Detection Using State-of-the-Art Deep Learning Models on X-Ray and CT Images

Author

Patel, Sitaram, Khan, Nikhat Raza, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tomar, Ranjeet Singh, editor, Verma, Shekhar, editor, Chaurasia, Brijesh Kumar, editor, Singh, Vrijendra, editor, Abawajy, Jemal H., editor, Akashe, Shyam, editor, Hsiung, Pao-Ann, editor, and Prasad, Ramjee, editor

Published
2023
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13. Analysis and Comparison of Posture Detection Using Deep Learning Algorithm

Author

Singhai, Shivani, Gautam, Pratima, Kushwah, Jitendra Singh, Gupta, Sanjeev Kumar, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tomar, Ranjeet Singh, editor, Verma, Shekhar, editor, Chaurasia, Brijesh Kumar, editor, Singh, Vrijendra, editor, Abawajy, Jemal H., editor, Akashe, Shyam, editor, Hsiung, Pao-Ann, editor, and Prasad, Ramjee, editor

Published
2023
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14. Hybrid HAN Model to Investigate Depression from Twitter Posts

Author

Asma, Salma Akter, Akhter, Nazneen, Afrin, Mehenaz, Hasan, Sadik, Mia, Md. Saide, Ali, K. M. Akkas, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Abawajy, Jemal, editor, Tavares, João Manuel R.S., editor, Kharb, Latika, editor, Chahal, Deepak, editor, and Nassif, Ali Bou, editor

Published
2023
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15. An Ensemble and Deep Neural Network Based Approaches for Automated Sentiment Analysis

Author

Riya, Rai, Sonali, Rupal, Rani, Ritu, Niranjan, Vandana, Sharma, Arun, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Abawajy, Jemal, editor, Tavares, João Manuel R.S., editor, Kharb, Latika, editor, Chahal, Deepak, editor, and Nassif, Ali Bou, editor

Published
2023
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19. Deep Learning GRU Model and Random Forest for Screening Out Key Attributes of Cardiovascular Disease

Author

Javid, Irfan, Ghazali, Rozaida, Zulqarnain, Muhammad, Husaini, Noor Aida, 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, Ghazali, Rozaida, editor, Mohd Nawi, Nazri, editor, Deris, Mustafa Mat, editor, Abawajy, Jemal H., editor, and Arbaiy, Nureize, editor

Published
2022
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20. An Improved Convolutional Neural Network for Speech Emotion Recognition

Author

Butt, Sibtain Ahmed, Iqbal, Umer, Ghazali, Rozaida, Shoukat, Ijaz Ali, Lasisi, Ayodele, Al-Saedi, Ahmed Khalaf Zager, 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, Ghazali, Rozaida, editor, Mohd Nawi, Nazri, editor, Deris, Mustafa Mat, editor, Abawajy, Jemal H., editor, and Arbaiy, Nureize, editor

Published
2022
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21. Deep Learning Approach to Load Forecasting: A Survey

Author

Akinola, Segun A., Thakur, Prabhat, Sharma, Mayank S., Kumar, Krishna, Singh, Ghanshyam, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tomar, Ranjeet Singh, editor, Verma, Shekhar, editor, Chaurasia, Brijesh Kumar, editor, Singh, Vrijendra, editor, Abawajy, Jemal, editor, Akashe, Shyam, editor, Hsiung, Pao-Ann, editor, and Bhargava, Vijay K., editor

Published
2021
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22. Sentiment Analysis of Student Evaluations of Teaching Using Deep Learning Approach

Author

Sutoyo, Edi, Almaarif, Ahmad, Yanto, Iwan Tri Riyadi, 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, Abawajy, Jemal H., editor, Choo, Kim-Kwang Raymond, editor, and Chiroma, Haruna, editor

Published
2021
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23. Deep Learning Solutions for Protein: Recent Development and Future Directions

Author

Chiroma, Haruna, Usman, Ali Muhammad, Jauro, Fatsuma, Gabralla, Lubna A., Adewole, Kayode S., Dada, Emmanuel Gbenga, Shittu, Fatima, Umar, Aishatu Yahaya, Okesola, Julius O., Oludele, Awodele, 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, Abawajy, Jemal H., editor, Choo, Kim-Kwang Raymond, editor, and Chiroma, Haruna, editor

Published
2021
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26. Mobile Application Behavior Recognition Based on Dual-Domain Attention and Meta-learning

Author

Zhang, Wenjun, 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, Abawajy, Jemal, editor, Xu, Zheng, editor, Atiquzzaman, Mohammed, editor, and Zhang, Xiaolu, editor

Published
2021
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27. SAR Image Change Detection Based on Complex Neural Network

Author

Wen, Xia, Jiang, Huiyong, Mao, Yanghong, Wang, Hongqin, 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, Abawajy, Jemal, editor, Xu, Zheng, editor, Atiquzzaman, Mohammed, editor, and Zhang, Xiaolu, editor

Published
2021
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28. User Preference Multi-criteria Recommendations Using Neural Collaborative Filtering Methods

Author

Nithin Goud, Kaira, Ramanjaneyulu, Y. V., Sathya Babu, Korra, Patra, Bidyut Kr., 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, Giri, Debasis, editor, Buyya, Rajkumar, editor, Ponnusamy, S., editor, De, Debashis, editor, Adamatzky, Andrew, editor, and Abawajy, Jemal H., editor

Published
2021
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29. A Deep Learning Based Android Application to Detect the Leaf Diseases of Maize

Author

Barman, Utpal, Sahu, Diganto, Barman, Golap Gunjan, 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, Giri, Debasis, editor, Buyya, Rajkumar, editor, Ponnusamy, S., editor, De, Debashis, editor, Adamatzky, Andrew, editor, and Abawajy, Jemal H., editor

Published
2021
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30. Indian Regional Spoken Language Identification Using Deep Learning Approach

Author

Paul, Bachchu, Phadikar, Santanu, Bera, Somnath, 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, Giri, Debasis, editor, Buyya, Rajkumar, editor, Ponnusamy, S., editor, De, Debashis, editor, Adamatzky, Andrew, editor, and Abawajy, Jemal H., editor

Published
2021
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31. A Deep Learning Approach with Line Drawing for Isolated Online Bangla Character Recognition

Author

Mukherjee, Himadri, Majumder, Chandrima, Dhar, Ankita, Sen, Shibaprasad, Obaidullah, Sk Md, Roy, Kaushik, 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, Giri, Debasis, editor, Buyya, Rajkumar, editor, Ponnusamy, S., editor, De, Debashis, editor, Adamatzky, Andrew, editor, and Abawajy, Jemal H., editor

Published
2021
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32. Big Data Computer Aided Drug Design and Its Application in New Pesticide Research and Development

Author

Tiantian, Chen, 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, Abawajy, Jemal H., editor, Choo, Kim-Kwang Raymond, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2021
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33. A Summary of Deep Learning Algorithms

Author

Xin, Mingyuan, Wang, Yong, 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, Abawajy, Jemal H., editor, Choo, Kim-Kwang Raymond, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2021
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34. Neural Network Algorithm Strategy Based on Multi-factor Stock Selection

Author

Sun, Qiyang, 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, Abawajy, Jemal H., editor, Choo, Kim-Kwang Raymond, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2021
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35. Database Intrusion Detection Technology Based on VGG-SVM

Author

Xin, Mingyuan, Wang, Yong, 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, Abawajy, Jemal H., editor, Choo, Kim-Kwang Raymond, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2021
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36. A Study of CNN Architectures over Two Hand Indian Sign Language Dataset

Author

Sharma, Vaidehi, Jaiswal, Mohita, Sharma, Abhishek, Tomar, Raghuvir, 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, M. Thampi, Sabu, editor, Sherly, Elizabeth, editor, Dasgupta, Soura, editor, Lloret Mauri, Jaime, editor, H. Abawajy, Jemal, editor, Khorov, Evgeny, editor, and Mathew, Jimson, editor

Published
2020
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37. eSNN for Spatio-Temporal fMRI Brain Pattern Recognition with a Graphical Object Recognition Case Study

Author

Murli, Norhanifah, Kasabov, Nikola, Paham, Nurul Amirah, 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, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, and Abawajy, Jemal H., editor

Published
2020
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38. Conditional Generative Adversarial Networks for Data Augmentation in Breast Cancer Classification

Author

Wong, Weng San, Amer, Mohammed, Maul, Tomas, Liao, Iman Yi, Ahmed, Amr, 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, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, and Abawajy, Jemal H., editor

Published
2020
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39. Lungs Cancer Nodules Detection from CT Scan Images with Convolutional Neural Networks

Author

Rehman, Muhammad Zubair, Nawi, Nazri Mohd, Tanveer, Aisha, Zafar, Hassan, Munir, Hamza, Hassan, Sher, 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, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, and Abawajy, Jemal H., editor

Published
2020
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40. Residual Neural Network Vs Local Binary Convolutional Neural Networks for Bilingual Handwritten Digit Recognition

Author

Al-wajih, Ebrahim, Ghazali, Rozaida, Hassim, Yana Mazwin Mohmad, 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, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, and Abawajy, Jemal H., editor

Published
2020
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41. Impact of Hyperparameter Tuning on Deep Learning Based Estimation of Disease Severity in Grape Plant

Author

Verma, Shradha, Chug, Anuradha, Singh, Amit Prakash, 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, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, Deris, Mustafa Mat, editor, and Abawajy, Jemal H., editor

Published
2020
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42. English Translation Model Design Based on Neural Network

Author

Liu, Xiangrong, 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, Abawajy, Jemal H., editor, Choo, Kim-Kwang Raymond, editor, Islam, Rafiqul, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2020
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43. Design of Improved Deep Convolution Network Model

Author

Xu, Hongsheng, Wang, Lan, 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, Abawajy, Jemal H., editor, Choo, Kim-Kwang Raymond, editor, Islam, Rafiqul, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2020
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44. Review of Deep Learning Techniques for Object Detection and Classification

Author

Ansari, Mohd Ali, Singh, Dushyant Kumar, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Verma, Shekhar, editor, Tomar, Ranjeet Singh, editor, Chaurasia, Brijesh Kumar, editor, Singh, Vrijendra, editor, and Abawajy, Jemal, editor

Published
2019
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45. Performance Evaluation of Facenet on Low Resolution Face Images

Author

Golla, Monika Rani, Sharma, Poonam, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Verma, Shekhar, editor, Tomar, Ranjeet Singh, editor, Chaurasia, Brijesh Kumar, editor, Singh, Vrijendra, editor, and Abawajy, Jemal, editor

Published
2019
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46. Classification of Neurons Based on Deep Learning and Feature of Image Gray Symbiosis Matrix

Author

Chen, Tao, Liu, Wenbin, 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, Abawajy, Jemal, editor, Choo, Kim-Kwang Raymond, editor, Islam, Rafiqul, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2019
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47. A Survey of Multi-object Video Tracking Algorithms

Author

Zhou, Shuren, Ke, Maolin, Qiu, Jia, Wang, Jin, 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, Abawajy, Jemal, editor, Choo, Kim-Kwang Raymond, editor, Islam, Rafiqul, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2019
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48. An Improved Person Reidentification Method by Selective Convolutional Descriptor Aggregation

Author

Zhou, Shuren, Ke, Maolin, Luo, Peng, 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, Abawajy, Jemal, editor, Choo, Kim-Kwang Raymond, editor, Islam, Rafiqul, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2019
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49. An Overview of Image-Based Person Re-identification

Author

Zhou, Shuren, Ke, Maolin, Luo, Peng, 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, Abawajy, Jemal, editor, Choo, Kim-Kwang Raymond, editor, Islam, Rafiqul, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2019
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50. Early detection of cardiovascular autonomic neuropathy: A multi-class classification model based on feature selection and deep learning feature fusion.

Author

Hassan, Md Rafiul, Huda, Shamsul, Hassan, Mohammad Mehedi, Abawajy, Jemal, Alsanad, Ahmed, and Fortino, Giancarlo

Subjects
*FEATURE selection, *DEEP learning, *NEUROPATHY, *CLASSIFICATION algorithms, *ALGORITHMS, *DIAGNOSIS
Abstract

The conventional diagnostic process and tools of cardiovascular autonomic neuropathy (CAN) can easily identify the two main categories of the condition: severe/definite CAN and normal/healthy without CAN. Conventional techniques encounter significant challenges when identifying CAN in its early or atypical stages due to the inherent imbalanced and incompleteness condition in the collected clinical multimodal data, including electrocardiogram (ECG) data from ECG sensors, blood chemistry, podiatry, and endocrinology features. Therefore, most detection tools and techniques are limited to binary CAN classification. However, early diagnosis of CAN or diagnosis of the atypical stages of CAN is more important than the diagnosis of severe CAN, which, in fact, is easily identifiable with a few diagnostic reports. In this paper, we propose a novel multi-class classification approach for timely CAN detection. The proposed classification algorithm develops a multistage fusion model by combining feature selection and multimodal feature fusion techniques. The proposed method develops a performance criterion-based feature selection technique to guarantee highly significant features. A multimodal feature fusion technique was developed using deep learning feature fusion and selected original features. The experimental results obtained from testing with a large CAN dataset indicate that the proposed algorithm significantly improved the diagnostic accuracy of CAN compared to conventional Ewing battery features. The algorithm also identified the early or atypical stages of CAN with an AUC score of 0.931 using leave-one-out cross-validation. • Proposed a multi-class classification model to detect early type of CAN disease. • Features from Ewing tests, ECG, blood, and other health conditions are fusioned. • Significant features are selected using a novel multi-class-AUC method. • The selected features are augmented using combination of Deep Learning, and NN. • The augmented features are fusioned with the actual selected features. [ABSTRACT FROM AUTHOR]

Published
2022
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