{"product_id":"neural-intent-acquisition-cybernetic-design-volume-ii-a-comprehensive-guide-to-myoelectric-interfaces-embedded-ai-and-advanced-prosthetic-actua-9798199670920","title":"Neural Intent Acquisition \u0026 Cybernetic Design (Volume-II): A Comprehensive Guide to Myoelectric Interfaces, Embedded AI, and Advanced Prosthetic Actua","description":"\u003cp\u003e • Author(s): Sanzaya Patel\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Robotics\u003c\/p\u003e\u003cp\u003eA signal is only the beginning.\u003cbr\u003eOnce biological intent has been captured, a far greater challenge emerges: transforming raw electrical activity into meaningful intelligence. Hidden within every biosignal are patterns, relationships, and temporal structures that reveal what a person intends to do-but extracting that information requires sophisticated computational methods capable of learning, adapting, and operating under uncertainty.\u003cbr\u003e\u003cb\u003eThis\u003c\/b\u003e is the second volume of the \u003ci\u003eNeural Intent Systems\u003c\/i\u003e series, exploring the algorithms, models, and machine learning architectures that convert biological signals into actionable predictions. Bridging signal processing, statistical learning, deep neural networks, adaptive systems, and embedded artificial intelligence, this volume provides a comprehensive framework for understanding how machines learn to interpret human intent.\u003cbr\u003eInside you'll discover: \u003cbr\u003e- Digital signal processing and noise suppression techniques\u003cbr\u003e- Feature extraction and representation learning\u003cbr\u003e- Blind source separation and Independent Component Analysis (ICA)\u003cbr\u003e- Statistical classification and pattern recognition systems\u003cbr\u003e- Sim-to-Real transfer learning strategies\u003cbr\u003e- Recurrent Neural Networks (RNNs) and temporal modeling\u003cbr\u003e- Long Short-Term Memory (LSTM) architectures\u003cbr\u003e- Attention mechanisms and sequence learning\u003cbr\u003e- Quantization, pruning, and neural network optimization\u003cbr\u003e- Edge AI deployment and embedded inference\u003cbr\u003e- Online adaptation, robustness, and continual learning\u003cbr\u003eWritten from a systems-engineering perspective, this volume reveals the hidden intelligence layer that exists between biological signals and robotic action. It explains not only how machine learning models operate, but why they succeed, where they fail, and how they can be engineered to perform reliably in real-world human-machine interfaces.\u003cbr\u003eWhether you are developing advanced prosthetics, rehabilitation technologies, wearable systems, neural interfaces, or next-generation AI applications, this book provides the tools required to transform raw data into understanding.\u003cbr\u003eBecause before a machine can act, it must first learn to understand.\u003cbr\u003eWelcome to signal intelligence.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47968561070231,"sku":"9798199670920","price":3830.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798199670920.webp?v=1782918562","url":"https:\/\/atlanticbooks.com\/products\/neural-intent-acquisition-cybernetic-design-volume-ii-a-comprehensive-guide-to-myoelectric-interfaces-embedded-ai-and-advanced-prosthetic-actua-9798199670920","provider":"Atlantic Books","version":"1.0","type":"link"}