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Full Description
This edited book provides a comprehensive exploration of the latest advancements and methodologies in signal processing for intelligent systems. The book serves as a multidisciplinary reference, integrating theoretical foundations, algorithmic developments, and real-world applications across diverse domains, including healthcare, agriculture, environmental monitoring, and human activity recognition. By consolidating recent advancements and cross-domain insights, this book bridges the gap between theory and practice in sensor signal processing for intelligent systems. It fosters interdisciplinary collaboration and stimulates further research in the development of more efficient and scalable intelligent systems for diverse applications.
Contents
Harnessing Synthetic Sensor Data using Generative Adversarial Network for Smarter Medical Diagnostics.- Signal Processing Innovations for Reliable Remote Patient Monitoring Systems.- IoMT-Based Smart Emergency Medical Service System: Technologies, Applications, and Challenges.- IoT and AI-driven Predictive Analytics in Healthcare: A Case Study on Pandemic Surveillance.- Explainable AI for Sensor-Based Medical Diagnostics.



