Tag: Signals

Artificial Intelligence and Sustainability (Signals and Communication Technology)


Free Download Artificial Intelligence and Sustainability (Signals and Communication Technology) by Mohamed Ahmed Alloghani
English | November 26, 2023 | ISBN: 3031452135 | 232 pages | MOBI | 5.68 Mb
This book gives readers the tools to craft AI systems that don’t just thrive today, but endure sustainably into the future. Whether a trailblazer or an aspiring innovator, this book enables readers to resonate with the ambitions of software developers, data scientists, and AI practitioners. The author covers the latest techniques and best practices for energy efficiency, reducing carbon footprints, and ensuring fair and ethical AI. The book also addresses important issues such as AI governance, managing risks, and ensuring transparency. Topics covered include understanding the relationship between AI and sustainable development, strategies for building efficient AI systems, and ethical considerations in AI development, among others. The author includes case studies of companies and organizations that have successfully implemented sustainable AI software development practices. Therefore, this book will be of interest to AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.

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Modeling and Optimization of Signals Using Machine Learning Techniques


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English | 2024 | ISBN: 1119847680 | 404 Pages | PDF | 164 MB
Modeling and Optimization of Signals using Machine Learning Techniques is designed for researchers from academia, industries, and R&D organizations worldwide who are passionate about advancing machine learning methods, signal processing theory, data mining, artificial intelligence, and optimization. This book addresses the role of machine learning in transforming vast signal databases from sensor networks, internet services, and communication systems into actionable decision systems. It explores the development of computational solutions and novel models to handle complex real-world signals such as speech, music, biomedical data, and multimedia.

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Angular Signals In Depth (Angular 18)


Free Download Angular Signals In Depth (Angular 18)
Published 6/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.34 GB | Duration: 6h 24m
Learn how to build modern Angular applications by leveraging the new Signals API. Learn common signal-based UI patterns.

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Signals, Systems, & Transforms 5th Edition (2024)


Free Download John M. Parr, "Signals, Systems, & Transforms 5th Edition"
English | 2014 | ISBN: 1292015284, 0133506479 | PDF | pages: 812 | 53.0 mb
This comprehensive textbook emphasizes the difference between models and the physical signals and systems they represent. Beginning with continuous-time topics and progressing to discrete-time materials, yet flexible for courses that treat them in parallel, Signals, Systems, and Transforms.

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Introduction to Random Signals, Estimation Theory, and Kalman Filtering


Free Download Introduction to Random Signals, Estimation Theory, and Kalman Filtering
English | 2024 | ISBN: 9819980623 | 501 Pages | PDF EPUB (True) | 46 MB
This book provides first-year graduate engineering students and practicing engineers with a solid introduction to random signals and estimation. It includes a statistical background that is often omitted in other textbooks but is essential for a clear understanding of estimators and their properties. The book emphasizes applicability rather than mathematical theory. It includes many examples and exercises to demonstrate and learn the theory that makes extensive use of MATLAB and its toolboxes. Although there are several excellent books on random signals and Kalman filtering, this book fulfills the need for a book that is suitable for a single-semester course that covers both random signals and Kalman filters and is used for a two-semester course for students that need remedial background. For students interested in more advanced studies in the area, the book provides a bridge between typical undergraduate engineering education and more advanced graduate-level courses.

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