“This review covers four studies in the fields of cybersecurity, mental well-being prediction, medical image analysis, and adversarial training in weather prediction. Each study utilizes advanced machine learning and deep learning techniques to address domain-specific challenges. … These studies reflect significant advancements in AI, machine learning, and deep learning across domains, offering valuable insights for researchers and practitioners.” (Nithin Reddy Desani, U. S. Business News, usbusinessnews. com, October 25, 2024)
Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1
ICDSMLA 2023, 15–16 December, Hyderabad, India
herausgegeben von Amit Kumar, Vinit Kumar Gunjan, Sabrina Senatore und Yu-Chen HuThis book (Volume 1) includes peer reviewed articles from the 5th International Conference on Data Science, Machine Learning and Applications, 2023, held at the G Narayanamma Institute of Technology and Sciences, Hyderabad on 15-16th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.
