This book offers a cutting-edge exploration of key advancements in artificial intelligence, Io T, data science, and their transformative impact on industries, particularly health care, in a rapidly evolving technological landscape. Readers will discover how AI and machine learning drive innovations, from detecting anomalies in satellite systems to enhancing medical diagnostics and treatment precision.
With a focus on real-world applications, the book delves into the integration of Io T systems and cloud computing to streamline business operations and improve efficiency. It also introduces groundbreaking data science techniques for analysis and prediction, making it a valuable resource for professionals, researchers, and students.
Designed for those looking to understand and harness the power of modern technology, this book provides insights that are both practical and forward-looking, equipping readers to address today’s challenges and shape the future.
Tabla de materias
Supervised ML-based Multi-Criteria For Detecting Malicious Nodes in FANET.- A semi-decentralized congestion-free multi-path energy routing for P2P energy trading systems.- Privacy-Preserving Intrusion Detection using Fed Split Learning.- Unveiling Human Activity Patterns in Smart Cities through a CNN-LSTM Approach.- Material Property Prediction with CNN-LSTM Hybrid Models and Periodic Table as Input Representation.- A Combined Mask RCNN-Watershed Model for Colorectal Gland Segmentation from Histological Images.
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