"Implementing Hyper Automation: Strategies, Best Practices, and Case Studies" offers insights into the powerful convergence of AI, Machine Learning, Robotic Process Automation, Natural Language Processing, and Advanced analytics. Rooted in modern digital transformation trends, the book demonstrates how intelligent automation reshapes organisational efficiency, enhances decision-making, and drives scalable growth across industries. The book begins with foundational concepts, core principles, and architectural frameworks that guide the development of resilient and intelligent automation ecosystems. It then presents sector-specific case studies from banking, healthcare, manufacturing, and agriculture, showcasing real implementations, measurable impact, and lessons learned. Later chapters address data governance, security, operational risks, enabling technologies, and emerging trends, concluding with a strategic roadmap for sustaining automation-driven transformation. Key Features - Explains core principles and architectural foundations of hyper automation - Demonstrates real-world case studies across major industries - Provides actionable frameworks and implementation strategies - Addresses governance, security, risks, and future trends - Bridges academic insights with practical, enterprise-focused guidance

<blockquote><div><div><blockquote><div><blockquote><div><div><div><div><div>Distributed Energy and Smart Grids: Sustainable Energy for the Future explores the transition from traditional centralised power systems to intelligent, decentralised, and sustainable energy infrastructures. Focusing on the integration of Distributed Energy Resources (DERs) such as solar, wind, and emerging renewables with advanced smart grid technologies, this book highlights how digital communication, automation, and real-time analytics are reshaping modern energy systems.</div><div><p>The book covers critical topics including renewable energy integration, grid stability, energy storage and battery management, IoT-based monitoring, communication technologies, cybersecurity, SCADA systems, demand-response mechanisms, and the roles of AI, machine learning, and electric vehicles in next-generation grids. Case studies, emerging innovations, and future trends provide practical insights and real-world applications for researchers and professionals alike.</p><p>Key Features:</p><ul><li><p>Comprehensive coverage of distributed energy systems and smart grid integration<br><br></p></li><li><p>Clear explanations supported by illustrations, case studies, and practical solutions<br><br></p></li><li><p>Insights into renewable adoption, grid modernisation, and emerging technologies</p></li></ul></div></div></div></div></div></blockquote></div></blockquote></div></div></blockquote>

<p><b>Advanced Wireless Communication Systems: A Comprehensive Guide</b>&nbsp;bridges foundational principles with emerging paradigms to present a unified and in-depth exploration of the technologies, architectures, and innovations shaping contemporary and next-generation wireless networks.</p><p>Opening with an overview of wireless technology evolution, the book discusses global standards and regulatory frameworks for wireless networks while also systematically exploring wireless channel modelling, simulation methodologies, and a wide range of network architectures, including cellular networks, Wi-Fi, Bluetooth, Zigbee, LoRaWAN, and IoT connectivity frameworks. Advanced physical-layer and system-level technologies such as MIMO, OFDM, millimetre-wave, terahertz communication, and free-space optical systems are examined in detail, along with critical security and privacy challenges in modern wireless networks.</p><p>Later chapters focus on future-facing innovations, including massive MIMO, beamforming, cognitive radio, dynamic spectrum access, and vehicular communication systems. The book culminates with cutting-edge topics such as machine-learning-driven network slicing, latency optimisation for ultra-reliable low-latency communications (URLLC), and noncoherent system design targeting 6G-class applications.</p><p><b>Key Features</b><b></b></p><p>·&nbsp; Comprehensive coverage from wireless communication fundamentals to cutting-edge technologies</p><p>·&nbsp; An integrated perspective on wireless communication methods combining theory, simulation methods, and practical case studies</p><p>·&nbsp; Dedicated chapters on AI-enabled optimisation, cognitive radio, and URLLC</p><p>·&nbsp; Clear illustrations, comparative analyses, and real-world application insights</p>