Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of Technology Computer Aided Design (TCAD). It provides the various algorithms of machine learning such as regression, decisio...Lasīt vairāk
This conference covered various interdisciplinary areas such as applied science, physics, material science, and engineering. The audience got a chance to encircle the various interdisciplinary areas and people working on recent technologies in scien...Lasīt vairāk
The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions....Lasīt vairāk
Conserving and better utalizing essential resources has become a main concern for the manufacturing industry. To successfully compete, industries are using cutting-edge techniques that are sustainable in terms of cost, energy usage, product quality,...Lasīt vairāk
This book investigates the growing influence of artificial intelligence in the marketing sphere, providing insights into how AI can be harnessed for developing more effective and efficient marketing strategies....Lasīt vairāk
This book emphasizes the idea of understanding the motivation of the advanced circuits design to establish the AI interface and to mitigate the security attacks in a better way for big data. It is for students, researchers, and professionals, facult...Lasīt vairāk
(Izdošanas datums: 18-Nov-2021, Izdevniecība: Apple Academic Press Inc., ISBN-13: 9781003043249)
The authors provide a review of cancer along with descriptions of its molecular level mechanisms and emphasize the role of promising new therapies, including herbal therapies that can be utilized for the treatment of metastatic diseases....Lasīt vairāk
