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"Optoelectronics Recent Advances" ed. by Touseef Para

Posted By: exLib

Date: 1 May 2024 00:00:03

"Optoelectronics Recent Advances" ed. by Touseef Para
ITexLi | 2024 | ISBN: 1837697957 9781837697953 1837697965 9781837697960 1837697973 9781837697977 | 132 pages | PDF | 13 MB

This anthology explores the diverse realms of light and electronics, from fundamental insights to groundbreaking advancements. Discover the future of quantum information processing, gold nanorod assembly, and more.

Science Mathematics Physics Computer Engineering Technology Hardware Software Communication Electronics DSP Industries Photonics Optoelectronics Nanorods Quantum Information Processing Fingerprint Laser Diodes

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint (Repost)

Posted By: AvaxGenius

Date: 7 Jan 2024 06:52:50

Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint (Repost)

This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it develops analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures by non-invasive means.

Science Autonomous Vehicles Development Algorithms Machine Learning Programming Science Fingerprint

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"Deep Learning and Reinforcement Learning" ed. by Jucheng Yang, et al.

Posted By: exLib

Date: 30 Nov 2023 23:59:47

"Deep Learning and Reinforcement Learning" ed. by Jucheng Yang, et al.

"Deep Learning and Reinforcement Learning" ed. by Jucheng Yang, Yarui Chen, Tingting Zhao, Yuan Wang, Xuran Pan, Andries Engelbrecht
ITexLi | 2023 | ISBN: 1803569514 9781803569512 1803569506 9781803569505 1803569522 9781803569529 | 110 pages | PDF | 14 MB

This book examines the latest research achievements of these technologies and provides a reference for researchers, engineers, students, and other interested readers. It helps readers understand the opportunities and challenges faced by deep learning and reinforcement learning and how to address them, thus improving the research and application capabilities of these technologies in related fields.