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Zurada, Sri Niwas Singh English | EPUB (True) | 2024 | 686 Pages | ISBN : 9819979536 | 125.3 MB This volumes comprises select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2022). The contents cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML and DL to emphasize its character in modelling, identification, optimization, prediction, forecasting, and control of future intelligent systems. This volume will be a useful guide to those working as researchers in academia and industry by presenting in-depth fundamental research contributions from a methodological/application perspective in understanding Artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.  Free Download Computational Intelligence Techniques for 5G Enabled IoT Networks English | 2025 | ISBN: 3031827325 | 276 Pages | PDF EPUB (True) | 78 MB Section 1 introduces Computational Intelligence and Sustainability Solutions for Next-Gen IoT Networks. Section 2 covers Optimization and Resilience Strategies for 5G-Enabled IoT Networks. Section 3 delves Intelligent Resource Allocation and Service Optimization in 5G IoT Networks. Section 4 presents Case studies on Applied Computational Intelligence and 5G IoT Innovations for Industry 4.0.  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Free Download Comprehensive Guide to Computer Processors English | January 30, 2025 | ASIN: B0DVMWTPVZ | 49 pages | Epub | 919.83 KB Everything you need to know about Laptop and Desktop Computer Processors. Recommended if you are studying for the COMPTIA A+ certification or learning how to build or repair computers.  Free Download Complex General Surgical Oncology: Preparing for Boards and Early Practice English | 2025 | ISBN: 3031889533 | 386 Pages | PDF EPUB (True) | 21 MB Aimed for surgeons specializing in Complex General Surgical Oncology (CGSO), this work intends to help the reader prepare for board examinations and guide decision-making. Chapters focus on key content with an emphasis on evidence-based medical decision making. A supplemental section provides challenging scenarios. The book uniquely uses outlines and bullet points instead of prose. Chapters provide objective numbers that reflect a thorough understanding of each topic and are a valuable resource. We hope these will also aid the surgeon during patient conversations while early in their practice. |
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