Intelligent Signal Processing and Embedded Ai Systems
Year: 2026
Type: book-chapter
Abstract: This book brings together innovative research that highlights the growing role of intelligent systems, embedded platforms, and advanced signal analysis in modern engineering applications. The chapters reflect a convergence of hardware, software, and data-driven methodologies aimed at improving perception, performance, and decision-making in complex technological environments. The chapter Road Sign Recognition Using BNN in PYNQ-Z2 Board explores the implementation of efficient neural networks on embedded hardware for real-time visual recognition, demonstrating practical solutions for intelligent transportation systems. Complementing this, Preparation and Characterization Studies of KNO₃-HTPB Based Solid Rocket Propellant with Different Plasticizers presents an experimental investigation into materials and formulation techniques critical for propulsion performance and reliability. The final chapter, Signal to Insight: AI-Driven Signal Processing, broadens the scope by examining how artificial intelligence transforms raw signals into meaningful insights across diverse domains. Together, these chapters offer readers a concise yet comprehensive perspective on the integration of intelligent computation, hardware innovation, and advanced engineering analysis, making the book a valuable resource for researchers, engineers, and students alike.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7125680833