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Gesamtkatalog

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Applied Machine Learning in Chemical
Process Engineering

Applied Machine Learning in Chemical Process Engineering

A Practical Approach

Embedded System and GUI Development using MATLAB for Engineering Applications

Waste Biorefinery Technologies for Sustainable Development: Volume 1: Thermochemical Processes deals with the intersection of circular economy principles and biorefinery innovation, exploring how biorefineries can play a central role in closing the loop of resource use and promoting sustainable development. Through a comprehensive examination of circular economy concepts and biorefinery technologies, it illustrates how waste streams can be valorized and transformed into valuable products through efficient and sustainable processes. From organic wastes to agricultural residues and industrial by-products, it covers how diverse biomass feedstocks can be utilised within circular biorefinery systems to produce bioenergy, biochemicals, biomaterials, and bioplastics. The volumes cover the basic components of biorefineries and various approaches required for the valorization of versatile feedstocks which make an indispensable resource for (under)graduate students. The discussion of role of biorefineries in addressing global challenges such as climate change and resource depletion, current research trends, and future directions offers valuable guidance for researchers seeking to deepen their understanding and identify opportunities for further investigation. Volume 1 of this two-volume set deals with thermochemical processes, and includes an introduction to circular biorefinery, biomass preparation &amp; pretreatment, and thermochemical routes for converting biomass into bioproducts and biofuels.

Volume 1: Thermochemical Processes

Waste Biorefinery Technologies for Sustainable Development

Enhancing Reflective Teaching in Higher Education

Redefining Teaching and Learning

GenAI in Higher Education

Biotemplated Catalysts: Synthesis, Properties and Applications is a comprehensive guide to the field of biotemplated catalysis, providing a systematic exploration of synthesis and characterization methods. The book compiles state-of-the-art research, methodologies, case studies, and practical insights, serving as a valuable resource for readers seeking a deeper understanding of biotemplated catalysts. It presents clear explanations of key concepts, detailed discussions of synthesis methods and characterization techniques, and real-world examples of biotemplated catalysts in action. Additionally, the book highlights the relevance and potential impact of biotemplated catalysis in various industries, bridging the gap between fundamental research and practical applications. It empowers readers to explore new avenues for research, innovation, and collaboration in this dynamic field.

Synthesis, Properties and Applications

Biotemplated Catalysts

Connected Diagnoses: IoT, Healthcare, and Digital Forensics investigates the complex intersection of IoT, healthcare, and digital forensics. This book explores the intricate relationships between these fields, with a focus on cybersecurity, patient data ethics, and challenges in IoT investigations. This book advances knowledge on leveraging IoT securely to enhance patient care and digital forensic analysis, providing significant insights from experts along with practical guidance for those operating at the crossroads of these critical disciplines. The book helps professionals grasp, adapt to, and capitalize on the interconnected nature of emerging technologies to ensure ethics, security, and safety. It is a comprehensive resource that benefits researchers and practitioners seeking to understand the convergence of medical technology, interconnected devices, and digital forensics.

IoT, Healthcare, and Digital Forensics

Connected Diagnoses

Methods, Applications, and Implications

Adaptive AI in Sensor Informatics

Up-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utility Generative AI Security: Defense, Threats, and Vulnerabilities delivers a technical framework for securing generative AI systems, building on established standards while focusing specifically on emerging threats to large language models and other generative AI systems. Moving beyond treating AI security as a dual-use technology, this book provides detailed technical analysis of three critical dimensions: implementing AI-powered security tools, defending against AI-enhanced attacks, and protecting AI systems from compromise through attacks like prompt injection, model poisoning, and data extraction. The book provides concrete technical implementations supported by real-world case studies of actual AI system compromises, examining documented cases like the DeepSeek breaches, Llama vulnerabilities, and Google's CaMeL security defenses to demonstrate attack methodologies and defense strategies while emphasizing foundational security principles that remain relevant despite technological shifts. Each chapter progresses from theoreticalfoundations to practical applications. The book also includes an implementation guide and hands-on exercises focusing on specific vulnerabilities in generative AI architectures, security control implementation, and compliance frameworks. Generative AI Security: Defense, Threats, and Vulnerabilities discusses topics including: <ul> <li>Machine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selection</li> <li>Intelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generation</li> <li>Deepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI's greater impact on information integrity</li> <li>Security attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacks</li> <li>Privacy-preserving AI techniques including federated learning and homomorphic encryption</li> </ul> Generative AI Security: Defense, Threats, and Vulnerabilities is an essential resource for cybersecurity professionals and architects, engineers, IT professionals, and organization leaders seeking integrated strategies that address the full spectrum of Generative AI security challenges while maintaining model utility.

Triangulating AI Security

Advances in Industrial and Systems Engineering

Advances in Human-AI Collaboration

Praise for IRREPLACEABLE "If you think AI is just about robots and algorithms, think again. IRREPLACEABLE will shatter your assumptions and challenge you to reimagine what it means to be human in a machine age." -Dr. Marshall Goldsmith, Thinkers50 #1 Executive Coach and New York Times Bestselling Author of The Earned Life, Triggers, and What Got You Here Won't Get You There "IRREPLACEABLE is addressing the most important question of our time: how do we keep our humanity front and center in an AI-dominated world? I challenge you to find a book more timely and relevant!" -Klaus Schwab, Founder and Executive Chairman of the World Economic Forum "IRREPLACEABLE is a vital guide to thinking differently and working confidently in tandem with AI. Pascal Bornet's insights and strategies are essential to succeed with customers and colleagues, in your community and career." -Ron Kaufman, New York Times Bestselling Author of Uplifting Service "In a world obsessed with the power of AI, IRREPLACEABLE dares to ask the question: what makes us human? The answer may surprise you." -Dr. Luc Julia, Co-Founder of Apple Siri "One of the most important books of our times, Pascal Bornet's IRREPLACEABLE is a must-read guide for navigating the AI revolution, empowering readers to excel personally and professionally in a technology-driven world." -Bernard Marr, Futurist, Internationally Bestselling Author "A very practical guide to strengthening our humanity with AI." -Nir Eyal, Bestselling Author of Hooked and Indistractable "Both a wake-up call and a practical guide to rediscover what makes us truly human in the age of AI." -Gerd Leonhard, Futurist and Humanist "I've always believed that AI will enhance human capabilities rather than replace them. This excellent book provides a roadmap for individuals and organizations to become effective partners with smart machines. Follow its advice, and you'll be well-equipped for the present and the future." -Thomas H. Davenport, Distinguished Professor, Babson College; Author of Only Humans Need Apply, Working with AI, and All In on AI "IRREPLACEABLE challenges us to confront the ultimate dilemmas: who are we, and what is our purpose in a world transformed by AI? The answers may just change your life." -Professor Jochen Wirtz, Vice Dean MBA Programmes, National University of Singapore "IRREPLACEABLE forces us to question our future in an increasingly technologically mediated world and learn to take action!" -Leonard A. Schlesinger, Baker Foundation Professor, Harvard Business School

The Art of Standing Out in the Age of Artificial Intelligence

IRREPLACEABLE

Artificial Intelligence and Machine Learning in Data Science and Analytics

Advances in Nonlinear Dynamical Systems and Robotics (ANDC)

Swarm Robotics Solutions for National Security and Marine Forensics explores the cutting-edge applications of swarm robotics in safeguarding national security and advancing marine forensics. This book delves into the innovative use of collaborative robotic systems inspired by nature, where multiple autonomous agents work together seamlessly to address complex challenges. From enhancing surveillance and reconnaissance capabilities for national defence to revolutionizing marine forensic investigations, this comprehensive guide highlights the transformative impact of swarm robotics on critical domains. A must-read for researchers, practitioners, and enthusiasts in robotics, artificial intelligence, and security, this book illuminates the future possibilities of swarm robotics in shaping a safer and more secure world.

Swarm Robotics Solutions for National Security and Marine Forensics

Introduction to the surface renewal model of mass transfer in the analysis/design of gas-liquid contacting equipment and membrane filters Applications of the Surface Renewal Model of Mass Transfer provides a rigorous application of the surface renewal theory of mass transfer to describe physical and chemical gas absorption and membrane filtration. This book demonstrates that the surface renewal model can predict the experimentally measured liquid-side physical mass-transfer coefficient in gas absorption with a fair degree of accuracy, shows that the surface renewal model can correlate permeate flux and transmembrane pressure drop data in constant pressure and constant flux microfiltration, and contains numerous examples of the application of the model to real-world situations. This book includes information on: <ul> <li>Applications of the surface renewal model in fields like chemical engineering, and oceanography.</li> <li>The complex surface renewal model as a better description of the turbulent hydrodynamics that prevail at the gas-liquid interface interface compared to the film model.</li> <li>Measurements of the liquid-side physical mass-transfer coefficient in gas absorption studies and surface-age distributions in wind-wave tanks.</li> <li>Flow instabilities induced by wall roughness or spacers or by their deliberate introduction into the main flow in membrane filtration</li> <li>Analysis and design of gas-liquid contactors (stirred tanks and packed towers) and membrane filters using a mass-transfer approach</li> </ul> Applications of the Surface Renewal Model of Mass Transfer is an excellent, first-of-its-kind reference for researchers in academia and industry, along with advanced students in chemical engineering, environmental engineering, bioprocess/biological engineering, paper engineering, and related programs of study.

Applications of the Surface Renewal Model of Mass Transfer

Applied Machine Learning in Chemical Process Engineering

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