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36 results on '"Epiphaniou, Gregory"'

1. Deep Learning-Based Synthetic Skin Lesion Image Classification.

Author

Abbasi SF, Bilal M, Mukherjee T, Churm J, Pournik O, Epiphaniou G, and Arvanitis TN

Subjects
Datasets as Topic, Internet, Neural Networks, Computer, Humans, Deception, Deep Learning ethics, Deep Learning standards, Diagnostic Imaging ethics, Diagnostic Imaging standards, Skin Diseases classification, Skin Diseases diagnostic imaging, Skin Diseases pathology, Image Interpretation, Computer-Assisted methods, Image Interpretation, Computer-Assisted standards
Abstract

Advances in general-purpose computers have enabled the generation of high-quality synthetic medical images that human eyes cannot differ between real and AI-generated images. To analyse the efficacy of the generated medical images, this study proposed a modified VGG16-based algorithm to recognise AI-generated medical images. Initially, 10,000 synthetic medical skin lesion images were generated using a Generative Adversarial Network (GAN), providing a set of images for comparison to real images. Then, an enhanced VGG16-based algorithm has been developed to classify real images vs AI-generated images. Following hyperparameters tuning and training, the optimal approach can classify the images with 99.82% accuracy. Multiple other evaluations have been used to evaluate the efficacy of the proposed network. The complete dataset used in this study is available online to the research community for future research.

Published
2024
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2. Deep Convolutional Neural Networks for Forensic Age Estimation: A Review

Author

Alkaabi, Sultan, Yussof, Salman, Al-Khateeb, Haider, Ahmadi-Assalemi, Gabriela, Epiphaniou, Gregory, Masys, Anthony J., Series Editor, Bichler, Gisela, Advisory Editor, Bourlai, Thirimachos, Advisory Editor, Johnson, Chris, Advisory Editor, Karampelas, Panagiotis, Advisory Editor, Leuprecht, Christian, Advisory Editor, Morse, Edward C., Advisory Editor, Skillicorn, David, Advisory Editor, Yamagata, Yoshiki, Advisory Editor, Jahankhani, Hamid, editor, Kendzierskyj, Stefan, editor, Chelvachandran, Nishan, editor, and Ibarra, Jaime, editor

Published
2020
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4. An End-Process Blockchain-Based Secure Aggregation Mechanism Using Federated Machine Learning.

Author

Mbonu, Washington Enyinna, Maple, Carsten, and Epiphaniou, Gregory

Subjects
MACHINE learning, DEEP learning, BLOCKCHAINS, TRUST, ARTIFICIAL intelligence
Abstract

Federated Learning (FL) is a distributed Deep Learning (DL) technique that creates a global model through the local training of multiple edge devices. It uses a central server for model communication and the aggregation of post-trained models. The central server orchestrates the training process by sending each participating device an initial or pre-trained model for training. To achieve the learning objective, focused updates from edge devices are sent back to the central server for aggregation. While such an architecture and information flows can support the preservation of the privacy of participating device data, the strong dependence on the central server is a significant drawback of this framework. Having a central server could potentially lead to a single point of failure. Further, a malicious server may be able to successfully reconstruct the original data, which could impact on trust, transparency, fairness, privacy, and security. Decentralizing the FL process can successfully address these issues. Integrating a decentralized protocol such as Blockchain technology into Federated Learning techniques will help to address these issues and ensure secure aggregation. This paper proposes a Blockchain-based secure aggregation strategy for FL. Blockchain is implemented as a channel of communication between the central server and edge devices. It provides a mechanism of masking device local data for secure aggregation to prevent compromise and reconstruction of the training data by a malicious server. It enhances the scalability of the system, eliminates the threat of a single point of failure of the central server, reduces vulnerability in the system, ensures security, and transparent communication. Furthermore, our framework utilizes a fault-tolerant server to assist in handling dropouts and stragglers which can occur in federated environments. To reduce the training time, we synchronously implemented a callback or end-process mechanism once sufficient post-trained models have been returned for aggregation (threshold accuracy achieved). This mechanism resynchronizes clients with a stale and outdated model, minimizes the wastage of resources, and increases the rate of convergence of the global model. [ABSTRACT FROM AUTHOR]

Published
2023
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5. A Hybrid Optimized Learning Framework for Compound Facial Emotion Recognition

Author

Borgalli, Rohan Appasaheb, Surve, Sunil, 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, Gonçalves, Paulo J. Sequeira, editor, Singh, Pradeep Kumar, editor, Tanwar, Sudeep, editor, and Epiphaniou, Gregory, editor

Published
2025
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6. NICSR-A Deep Learning-Based Noise Identification and Compensation Technique for Super-Resolution of Drone-Captured Images

Author

Batra, Amul, Shenoy, Meetha V., 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, Gonçalves, Paulo J. Sequeira, editor, Singh, Pradeep Kumar, editor, Tanwar, Sudeep, editor, and Epiphaniou, Gregory, editor

Published
2025
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7. A Deep Learning Framework for Automated Breast Cancer Detection Through Histopathological Image Analysis

Author

Tyagi, Sonam, Srivastava, Subodh, Sahana, Bikash Chandra, Rajput, Ishwari Singh, 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, Gonçalves, Paulo J. Sequeira, editor, Singh, Pradeep Kumar, editor, Tanwar, Sudeep, editor, and Epiphaniou, Gregory, editor

Published
2025
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8. Fisheries Management with Deep Learning-Based Fish Species Detection: A Sustainable Approach

Author

Rishi, Nemi, Kumar, Akhil, Golash, Richa, 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, Gonçalves, Paulo J. Sequeira, editor, Singh, Pradeep Kumar, editor, Tanwar, Sudeep, editor, and Epiphaniou, Gregory, editor

Published
2025
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9. Survey on Classification of Disease Identification in Potato Leaves for Precision Agriculture Using Deep Learning and Machine Learning

Author

Gupta, Urshita, Jain, Archi, Gulati, Hardik, Vijh, Surbhi, Kumar, Sumit, 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, Gonçalves, Paulo J. Sequeira, editor, Singh, Pradeep Kumar, editor, Tanwar, Sudeep, editor, and Epiphaniou, Gregory, editor

Published
2025
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10. Explainable Artificial Intelligence (XAI) for Healthcare: Enhancing Transparency and Trust

Author

Kumar, Anuj, Hora, Himanshu, Rohilla, Ankur, Kumar, Pramod, Gautam, Rahul, 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, Gonçalves, Paulo J. Sequeira, editor, Singh, Pradeep Kumar, editor, Tanwar, Sudeep, editor, and Epiphaniou, Gregory, editor

Published
2025
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11. Deep Transfer Learning in Parasites Imaging: A Systematic Review

Author

Kumar, Satish, Arif, Tasleem, 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, Gonçalves, Paulo J. Sequeira, editor, Singh, Pradeep Kumar, editor, Tanwar, Sudeep, editor, and Epiphaniou, Gregory, editor

Published
2025
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12. Android Malware Detection Using Learning Techniques: A Review

Author

Kharnotia, Sumesh, Arora, Bhavna, 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, Gonçalves, Paulo J. Sequeira, editor, Singh, Pradeep Kumar, editor, Tanwar, Sudeep, editor, and Epiphaniou, Gregory, editor

Published
2025
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13. A Smartphone-Based Deep Learning Framework for Detection and Classification of Poultry Diseases from Faecal Images

Author

Kaviya, P., Sibi Siddharthan, S., Kishore, M., Muthuram, M., 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, Gonçalves, Paulo J. Sequeira, editor, Singh, Pradeep Kumar, editor, Tanwar, Sudeep, editor, and Epiphaniou, Gregory, editor

Published
2025
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14. An Efficient Approach to Lip-Reading with 3D CNN and Bi-LSTM Fusion Model

Author

Joshi, Rohit Chandra, Juyal, Aayush, Jain, Vishal, Chaturvedi, Saumya, 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, Gonçalves, Paulo J. Sequeira, editor, Singh, Pradeep Kumar, editor, Tanwar, Sudeep, editor, and Epiphaniou, Gregory, editor

Published
2025
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15. Incorporation of the Self-attention Mechanism into Convolutional Neural Networks for the Target Recognition

Author

Mishra, Gangeshwar, Gupta, Prinima, Tanwar, Rohit, 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, Gonçalves, Paulo J. Sequeira, editor, Singh, Pradeep Kumar, editor, Tanwar, Sudeep, editor, and Epiphaniou, Gregory, editor

Published
2025
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16. CNN-Based Model for Real-Time Identification of Face Masks

Author

Kumari, Priti, Singh, Nishu, Dubey, Vandana, Patel, Kavita, 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, Tanwar, Sudeep, editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2024
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17. Time–Frequency Convolution Neural Network for Classification of Single and Combined Power Quality Disturbances

Author

Sipai, Uvesh, Jadeja, Rajendrasinh, Kothari, Nishant, Trivedi, Tapankumar, Ram, Kharizi Khin, 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, Tanwar, Sudeep, editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2024
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18. Emerging Trends of Artificial Intelligence in Detecting Neurodegeneration

Author

Singh, Davinder Paul, Kaushik, Baijnath, Khan, Yusera Farooq, Chadha, Akshma, Mahajan, Abigya, Jandwani, Aman, Narula, Gagandeep Singh, 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, Tanwar, Sudeep, editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2024
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19. Combined RNN Approach for Addressing Morphological, Syntactical, and Semantic Challenges in Image Captioning

Author

Gaware, Ishaan Rajendra, Khandelwal, Rishabh, Rajpal, Dev, Tyagi, Arnav, Das, Sanchali, 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, Tanwar, Sudeep, editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2024
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20. Yoga Pose Estimation Using MoveNet Preprocessor and Deep Learning Technique

Author

Tomy, Trisha, Narang, Diksha, Ahuja, Poorva, Rani, Ritu, Sharma, Arun, Dev, Amita, 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, Tanwar, Sudeep, editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2024
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21. MemXNet: A Multimodal Approach for Video Memorability Prediction

Author

Bhardwaj, Anuprabha, Kumar, Nitish, Agrawal, Anubhav, Sood, Apoorvi, Bansal, Priti, 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, Tanwar, Sudeep, editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2024
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22. Personality Trait Classification from Online Text Using Hybrid Deep Learning Techniques

Author

Chhabra, Prachi, Kumar, Sunil, Chhabra, Gunjan, Tanwar, Rohit, Virmani, Amit, Dwivedi, Abhishek, 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, Tanwar, Sudeep, editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2024
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23. Efficient Fine-Tuned Deep Learning ResNet Model for Tomato Leaf Disease Classification

Author

Sankhe, Smita, Ambhaikar, Asha, 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, Tanwar, Sudeep, editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2024
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24. Fine-Tuned Xception Model for Potato Leaf Disease Classification

Author

Shinde, Nirmala, Ambhaikar, Asha, 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, Tanwar, Sudeep, editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2024
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25. A Perspective to Disasters and Emerging Technologies for Disaster Management

Author

Mahajan, Deepika, Sharma, Sandeep, 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, Tanwar, Sudeep, editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2024
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26. Deep Learning and IoT for Smart Parking System: A Review

Author

Shrimali, Bela, Patel, Jitali, Pathak, Lakshit, Pathak, Lakshin, Ukani, Vijay, 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, Tanwar, Sudeep, editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2024
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27. Navigating the Realm of Generative Models: GANs, Diffusion, Limitations, and Future Prospects—A Review

Author

Kumar, Abhishek, Soni, Shivangam, Chauhan, Shubham, Kaur, Simran, Sharma, Ruchika, Kalsi, Priyanka, Chauhan, Riya, Birla, Abhishek, 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, Tanwar, Sudeep, editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2024
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28. Classification of Dry Beans into Genetic Varieties Using Deep Learning-Based Convolutional Neural Networks (CNNs)

Author

Fahim, Sajid Faysal, Chowdhury, Mehrab, Roy, Abin, Islam, Md Safayet, Simla, Sanjida, Hossain, Md Belayet, Al-Imran, Md, 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, Tanwar, Sudeep, editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2024
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29. A Systematic Review of Deepfake Detection Using Learning Techniques and Vision Transformer

Author

Rajput, Twinkle, Arora, Bhavna, 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, Tanwar, Sudeep, editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2024
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30. FeaTrim-ViT: Vision Transformer Trimming with One Shot Neural Architecture Search in Continuous Optimisation Space and Efficient Feature Selection

Author

Sharma, Shashwat, Kaushik, Baijnath, 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, Tanwar, Sudeep, editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2024
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31. Deepfakes: A New Era of Misinformation

Author

Khan, Rushan, Hazela, Bramah, Singh, Shikha, Asthana, Pallavi, 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, Tanwar, Sudeep, editor, Wierzchon, Slawomir T., editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2023
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32. A Robust Deep Learning Techniques for Alzheimer’s Prediction

Author

Locharla, Jayesh, Kolanuvada, Haswanth, Ashrith, Kona Venkata Sai, Suchitra, 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, Tanwar, Sudeep, editor, Wierzchon, Slawomir T., editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2023
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33. Machine Learning Assisted Intelligent Reflecting Surface MIMO Communication-Gateway for 6G—A Review

Author

Srivastava, Praveen, Khera, Shelej, 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, Tanwar, Sudeep, editor, Wierzchon, Slawomir T., editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2023
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34. Lung Cancer Diagnosis Using X-Ray and CT Scan Images Based on Machine Learning Approaches

Author

Kumar, Sunil, Kumar, Harish, 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, Tanwar, Sudeep, editor, Wierzchon, Slawomir T., editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2023
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35. Paddy Pro: A MobileNetV3-Based App to Identify Paddy Leaf Diseases

Author

Asvitha, S., Dhivya, T., Dhivyasree, H., Bhavadharini, R. M., 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, Tanwar, Sudeep, editor, Wierzchon, Slawomir T., editor, Singh, Pradeep Kumar, editor, Ganzha, Maria, editor, and Epiphaniou, Gregory, editor

Published
2023
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36. An optimized fuzzy deep learning model for data classification based on NSGA-II.

Author

Yazdinejad, Abbas, Dehghantanha, Ali, Parizi, Reza M., and Epiphaniou, Gregory

Subjects
*DEEP learning, *DATABASES, *DATA modeling, *FEATURE selection, *PARETO optimum, *MEMBERSHIP functions (Fuzzy logic), *PARETO analysis
Abstract

As a powerful paradigm, deep learning (DL) models have been used in many applications for classification tasks in images, text, and audio. Through DL models, we can learn task-driven features from big data. However, DL models are fully deterministic and cannot handle uncertain and imprecise data. DL models are often sensitive to noise in data and do not operate well in areas where data are vague. Moreover, when there is a large feature set or high-dimensional data with irrelevant and redundant features, the DL models' performance decreases in classification due to training with irrelevant features. To gain reliable results in such high-dimensional problems, DL models require a large amount of data which usually grows exponentially concerning the number of features. Data uncertainty problems and irrelevant features in DL models cause low performance in classification tasks. This paper proposes an optimized fuzzy deep learning (OFDL) model for data classification based on Non-Dominated Sorting Genetic Algorithm II (NSGA-II). OFDL utilizes optimization in the composition of DL and fuzzy learning via the NSGA-II in multi-modal learning. To achieve effective classification, OFDL first considers intelligent feature selection by finding the best trade-offs between two conflicting objective functions, minimizing the number of features, and maximizing the accuracy (maximizing weights of selected features). Next, to reach optimized backpropagation and fuzzy membership functions, OFDL utilizes Pareto optimal solutions for multi-objective optimization using NSGA-II based on their objective functions. Furthermore, the fusion layer in OFDL fused optimized views of DL and fuzzy learning that provides a high-level representation of inputs and optimum features for classification tasks where the data contain high uncertainties and noises. This functionality gives valuable attributes during classification since identifying and selecting appropriate features ensures prompt and correct class. Also, it provides deep insight into tackling the effect of ambiguous data and each feature's uncertainty in the classification tasks. The examination of OFDL reveals good performance in terms of F-measure, accuracy, recall, precision, and True Positive Rate (TPR) compared to fuzzy classifiers. Furthermore, OFDL has higher accuracy in classification tasks than earlier fuzzy DNN models. [ABSTRACT FROM AUTHOR]

Published
2023
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