"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

<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>

Applications of Modern Mass Spectrometry covers the latest advances in the use of mass spectrometry in scientific research. The series attempts to present readers information on the broad range of mass spectrometry techniques and configurations, data analysis and practical applications. Each volume contains contributions from eminent researchers who present their findings in an easy to read format. The multidisciplinary nature of the works presented in each volume of this book series make it a valuable reference on mass spectrometry to academic researchers and industrial R&D specialists in applied sciences, biochemistry, life sciences and allied fields. The first volume of the series presents 5 reviews: - Applications of mass spectrometry for the determination of the microbial crude protein synthesis in ruminants - Qualitative and quantitative LC-MS analysis in food proteins and peptides - Chemometrics as a powerful and complementary tool for mass spectrometry applications in life sciences - Recent developments of allied techniques of qualitative analysis of heavy metal ions in aqueous solutions with special reference to modern mass spectrometry - New techniques and methods in explosive analysis

Applications of Modern Mass Spectrometry, Volume 2, covers the latest advances in mass spectrometry in scientific research. The series presents readers with information on the broad range of mass spectrometry techniques and configurations, data analysis, and practical applications. Each volume contains contributions from eminent researchers who present their findings in an easy-to-read format. The multidisciplinary nature of the works presented in each volume of this book series makes it a valuable reference on mass spectrometry to academic researchers and industrial R&D specialists in applied sciences, biochemistry, life sciences, and allied fields. The second volume of the series presents 6 reviews: Ion Mobility-Mass Spectrometry for Macromolecule Analysis - Recent Advancements in Detection of Organic Contaminants in Wastewater Using Advanced Mass Spectrometry - Poisonous Substances in Tropical Medicinal and Edible Plants: Traditional Uses, Toxicology, and Characterization by Hyphenated Mass Spectrometry Techniques - LC-MS Analysis of Endogenous Neuropeptides from Tissues of Central Nervous System: An Overview - Advances in Structural Proteomics Using Mass Spectrometry and Recent Trends of Modern Mass Spectrometry: Application towards Drug Discovery and Development Process.

Applications of NMR Spectroscopy is an eBook series devoted to publishing the latest advances in the application of nuclear magnetic resonance (NMR) spectroscopy in practical situations. In the first volume of this eBook series, readers will find detailed NMR analysis on edible oils and lipid content in foods, the role of NMR spectroscopy in the human metabolomics and the diagnosis of autism related disorders, protein-protein interactions and NMR spectroscopy of chiral molecules.

Applications of NMR Spectroscopy is an eBook series devoted to publishing the latest advances in the application of nuclear magnetic resonance (NMR) spectroscopy in practical situations. The second volume of this eBook series features five chapters covering NMR spectroscopic analysis of plant polyphenols, the role of NMR spectroscopy in neuroradiology, NMR –based sensors, studies on protein and nucleic acid structure and function, and mathematical formations for NMR spectroscopy in structural biology.

Applications of NMR Spectroscopy is a book series devoted to publishing the latest advances in the applications of nuclear magnetic resonance (NMR) spectroscopy in various fields of organic chemistry, biochemistry, health and agriculture. The third volume of this book series features six reviews covering structure-property relationship of polyphenols, NMR spectroscopy in breast cancer diagnosis, NMR methods in drug discovery and formulation, protein confirmation analysis using Fluorine NMR and NMR studies enaminones.

Applications of NMR Spectroscopy is a book series devoted to publishing the latest advances in the applications of nuclear magnetic resonance (NMR) spectroscopy in various fields of organic chemistry, biochemistry, health and agriculture. The fourth volume of the series features several reviews focusing on NMR spectroscopic techniques in food sciences. Readers will find references on methods used to test food quality, food color analysis, the role of Tannins in wine taste as well as NMR studies on lipid oxidation and large protein complexes.

Applications of NMR Spectroscopy is a book series devoted to publishing the latest advances in the applications of nuclear magnetic resonance (NMR) spectroscopy in various fields of organic chemistry, biochemistry, health and agriculture. The fifth volume of the series features several reviews focusing on NMR spectroscopic techniques for identifying natural and synthetic compounds (polymer and peptide characterization, GABA in tinnitus affected mice), medical diagnosis and therapy (gliomas) and food analysis. The spectroscopic methods highlighted in this volume include high resolution proton magnetic resonance spectroscopy and solid state NMR.

Applications of NMR Spectroscopy is a book series devoted to publishing the latest advances in the applications of nuclear magnetic resonance (NMR) spectroscopy in various fields of organic chemistry, biochemistry, health and agriculture. The sixth volume of the series features reviews focusing on NMR spectroscopic techniques for studying tautomerism, applications in medical diagnosis, in food chemistry and identifying secondary metabolites.