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Book Chapters:

  1. "Generative Adversarial Networks for Video-to-Video Translation." Generative Adversarial Networks and Deep Learning: Theory and Applications 4 (2023): 4-4. 

  2. "Beyond Image Synthesis: GAN and Audio." Generative Adversarial Networks and Deep Learning: Theory and Applications (2023). 

  3. "Security Issues in Generative Adversarial Networks." Generative Adversarial Networks and Deep Learning: Theory and Applications (2023). 

  4. "Image Editing Using Generative Adversarial Network." Generative Adversarial Networks and Deep Learning: Theory and Applications (2023). 

  5. Generative Adversarial Networks and Its Use Cases." Generative Adversarial Networks and Deep Learning: Theory and Applications (2023). 

  6. "Machine‐Learning Techniques for Deaf People." Machine Learning Algorithms for Signal and Image Processing (2022): 201-217

  7. Accelerating Polynomial Based Image Secret Sharing Using Hadoop, Springer book chapter “Emerging Converging Technologies and Biomedical Systems”, Lecture Notes in Electrical Engineering, Springer, Singapore, March-2022. https://www.springerprofessional.de/en/accelerating-polynomial-based-image-secret-sharing-using-hadoop/20248170

  8. Challenges in Industry 4.0 for Machine Vision, A Conceptual Framework, a Review and Numerous Case Studies, Machine Vision for Industry 4.0, Applications and Case Studies, CRC Taylor and Francis, 23 March, 2022, https://doi.org/10.1201/9781003122401, ISBN: 9781003122401

  9. Practical Issues in Robotics Internet of Things, Machine Vision for Industry 4.0, Applications and Case Studies, CRC Taylor and Francis, 23 March, 2022, https://doi.org/10.1201/9781003122401, ISBN: 9781003122401

  10. Neurorehabilitation Robots Review: Towards a Mechanized Process for Upper Limb, Intelligent Systems for Rehabilitation Engineering, Scrivener Wiley, USA, https://doi.org/10.1002/9781119785651.ch2, Jan-2022, https://onlinelibrary.wiley.com/doi/10.1002/9781119785651.ch2

  11. Use of Assistive Techniques for the Visually Impaired People, Intelligent Systems for Rehabilitation Engineering, Scrivener Wiley, USA, https://doi.org/10.1002/9781119785651.ch5, Jan-2022, https://onlinelibrary.wiley.com/doi/10.1002/9781119785651.ch5

  12. IoT-Assisted Smart Device for Blind People, Intelligent Systems for Rehabilitation Engineering, Scrivener Wiley, USA, https://doi.org/10.1002/9781119785651.ch6, Jan-2022. https://onlinelibrary.wiley.com/doi/10.1002/9781119785651.ch6

  13. Hand-Talk Assistance: An Application for Hearing and Speech Impaired People, Intelligent Systems for Rehabilitation Engineering, Scrivener Wiley, USA, https://doi.org/10.1002/9781119785651.ch9, Jan-2022. https://onlinelibrary.wiley.com/doi/10.1002/9781119785651.ch9

  14. Green IoT for Smart Transportation: Challenges, Issues, and Case Study,  Green Internet of Things and Machine learning: Towards a smart sustainable world, December 2021, https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119793144.ch10

  15. "Use of Artificial Intelligence (AI) in Fighting With the Novel Coronavirus (COVID-19)", Source Title: Examining the Impact of Deep Learning and IoT on Multi-Industry Applications , IGI Global, USA, DOI: 10.4018/978-1-7998-7511-6.ch00

  16. Learning from unbalanced stream data in non-stationary environment using logistic regression model: A Novel approach using machine learning for assessment of credit card frauds, Handbook of Research on Natural computing for optimization problem, ACIR, IGI Global, pp. 561-582, 2016. https://www.igi-global.com/chapter/learning-from-unbalanced-stream-data-in-non-stationary-environments-using-logistic-regression-model/153829

  17. Logistic Regression Learning Model for Concept Drift with Unbalanced Data in Credit Card Fraud Detection System, Advances in Intelligent Systems and Computing, Springer, Vol. 380, No. 2, pp.681-689, 2015.

  18. Efficient Knowledge Transformation for Incremental Learning and Detection of New Concept Class in Students Classification System, Advances in Intelligent Systems and Computing, Springer, Vol. 340, No. 2, pp.757-766, Jan 2015.

  19. A Software Project Risk Analysis Tool Using Software Development Goal Modeling Approach, Advances in Intelligent Systems and Computing, Springer, Vol. 340, No. 2, pp.767-777, Jan 2015.

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