Bøger af Hari Mohan Pandey

The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning-ICAAAIML 2021. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business, and security. This book contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book is a valuable resource for students, academics, and practitioners in the industry working on AI applications.

This book is a comprehensive hands-on guide to develop an experiment, which should show a statistically sound behavior. During writing this book the author has assumed that yoüve no idea about developing a robust scientific experiment of a standard. The researchers familiar with the robust design can also utilize this book as a single source of information on achieving the goal of robust and statistically verified design. The rationale behind preparing the content of this type is outlined ahead: Researchers and practitioners frequently spend most of their time in fine-tuning of an algorithm then designing and implementing them. This is very true when developing heuristics and meta-heuristics employed for optimization problem and many times in software development, where the correct choice of values for search parameters has a considerable effect on the performance of the procedure. Determining the optimal parameters is a continuous engineering task, which goals are to reduce the production costs and to achieve the desired product quality. This is because you can only change the controllable factors in the process.