Titlebook: Deep Learning and Visual Artificial Intelligence; Proceedings of ICDLA Vishal Goar,Aditi Sharma,M. Firoz Mridha Conference proceedings 2024

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,Transformer Model Applications: A?Comprehensive Survey and Analysis,re. Here, we discusses the architecture, training strategies, and specific adaptations of transformers for each application. Furthermore, the challenges, limitations, and future directions for transformer model applications are highlighted.

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Conference proceedings 2024), held at Government Engineering College Bikaner, Bikaner, India, during March 16–17, 2024. The book presents diverse range of topics, including advanced deep learning techniques, neural networks, image processing, object detection, and pattern recognition..

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Safeguarding User Privacy: Machine Learning Strategies for Android Malware Detection,ficacy of the proposed approach. The result of our study indicates that ensemble techniques, especially random forest, exhibit the highest accuracy in detecting malware applications. This underscores their significance as a valuable tool to enhance mobile security and safeguarding user privacy amidst evolving threats.

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evolution of eWOM, the challenges associated with its analysis, and the role of deep learning in addressing these challenges. Additionally, we discuss key applications, methodologies, and current advancements in the field, along with potential future directions for research and development.

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nships between mentors and mentees in developing students’ adaptability and confidence. The study highlights the value of mentoring programs at higher education institutions and provides guidance for teachers, administrators, and policymakers who want to improve personal development of students which is mentioned in NEP 2020 also.