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Expert Clouds and Applications: Proceedings of ICOECA 2021 (Lecture Notes in Networks and Systems #209)
by Francisco M. Gonzalez-Longatt I. Jeena Jacob Selvanayaki Kolandapalayam Shanmugam Ivan IzoninThis book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2021), organized by GITAM School of Technology, Bangalore, India during February 18–19, 2021. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies.
Expert Clouds and Applications: Proceedings of ICOECA 2022 (Lecture Notes in Networks and Systems #444)
by Robert Bestak I. Jeena Jacob Selvanayaki Kolandapalayam ShanmugamThe book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2022), organized by GITAM School of Technology, Bangalore, India, during 3–4 February 2022. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies.
Expert Clouds and Applications: Proceedings of ICOECA 2023 (Lecture Notes in Networks and Systems #673)
by I. Jeena Jacob Selvanayaki Kolandapalayam Shanmugam Ivan IzoninThe book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2023), organized by RV Institute of Technology and Management, Bangalore, India, during February 9–10, 2023. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies. The thrust of the book is to showcase different research chapters dealing with the design, development, implementation, testing and analysis of intelligent systems, and expert clouds, and also to provide empirical and practical guidelines for the development of such systems.
Expert Knowledge and Its Application in Landscape Ecology
by C. Ashton Drew Chris J. Johnson Ajith H. PereraTypically, landscape ecologists use empirical observations to conduct research and devise solutions for applied problems in conservation and management. In some instances, they rely on advice and input of experienced professionals in both developing and applying knowledge. Given the wealth of expert knowledge and the risks of its informal and implicit applications in landscape ecology, it is necessary to formally recognize and characterize expert knowledge and bring rigor to methods for its applications. In this context, the broad goal of this book is to introduce the concept of expert knowledge and examine its role in landscape ecological applications. We plan to do so in three steps: First we introduce the topic to landscape ecologists, explore salient characteristics of experts and expert knowledge, and describe methods used in capturing and formalizing that knowledge. Second, we present examples of research in landscape ecology from a variety of ecosystems and geographic locations that formally incorporate expert knowledge. These case studies address a range of topics that will interest landscape ecologists and other resource management and conservation professionals including the specific roles of expert knowledge in developing, testing, parameterizing, and applying models; estimating the uncertainty in expert knowledge; developing methods of formalizing and incorporating expert knowledge; and using expert knowledge as competing models and a source of alternate hypotheses. Third, we synthesize the state of knowledge on this topic and critically examine the advantages and disadvantages of incorporating expert knowledge in landscape ecological applications. The disciplinary subject areas we address are broad and cover much of the scope of contemporary landscape ecology, including broad-scale forest management and conservation, quantifying forest disturbances and succession, conservation of habitats for a range of avian and mammal species, vulnerability and conservation of marine ecosystems, and the spread and impacts of invasive plants. This text incorporates the collective experience and knowledge of over 35 researchers in landscape ecology representing a diverse range of disciplinary subject areas and geographic locations. Through this text, we will catalyze further thought and investigations on expert knowledge among the target readership of researchers, practitioners, and graduate students in landscape ecology.
Expert Knowledge-based Inspection Systems: Inspection, Diagnosis, and Repair of the Building Envelope
by Jorge de Brito Clara Pereira José D. Silvestre Inês Flores-ColenThis book provides a novel approach to building pathology in current buildings. Drawing on the available literature, hands-on experience and fieldwork inspections, it presents a systematic perspective on the pathology of the building envelope. The book addresses natural stone claddings, adhesive ceramic tiling, renders, painted surfaces, External Thermal Insulation Composite Systems (ETICS), architectural concrete surfaces, windows and doors framing, and claddings for pitched and flat roofs. In addition to highlighting selected materials and construction elements, the book proposes a global classification system for defects and their probable causes, together with in situ diagnosis methods and repair techniques. It also identifies the relationships between defects and causes, diagnosis methods and repair techniques, and the interdependence between different defects, presenting these relations in the form of correlation matrices. Support files with detailed information and an inspection form are also provided. Selected case studies are presented to illustrate the value of a guidance system in fieldwork. Given its scope, the book offers a valuable guide, particularly for researchers, building inspectors, civil engineers, architects and maintenance planners.
Expert System for Fatigue Crack Growth Predictions Based on Fatigue Crack Closure (KAIST Research Series)
by Ji-Ho Song Chung-Youb KimThis book demonstrates fatigue crack growth under random loading graphically. This state-of-the-art monograph introduces an expert system for crack growth predictions, particularly based on crack closure. The system is developed after years of research by the authors by using the Math-type software consisting of 5 parts. This system is unique as it is fundamentally different from previous systems as it focuses on fatigue crack growth predictions based on fatigue crack closure. This book can be a useful guide for practicing engineers, researchers, and students in the fields of mechanical, aerospace, or civil engineering.
Expert Systems and Geographic Information Systems for Impact Assessment
by John Glasson Agustin Rodriguez-BachillerImpact Assessment is becoming part and parcel of an increasing number of development proposals in the UK and Europe. As the practice of Impact Assessment develops it becomes more standardized and good practice starts to be defined. However, the quality of Impact Assessment is still far from satisfactory. Expert Systems and GIS for Impact Assessment
Expert Systems: Introduction to First and Second Generation and Hybrid Knowledge Based Systems
by Chris NikolopoulosOffering an introduction to the field of expert/knowledge based systems, this text covers current and emerging trends as well as future research areas. It considers both the system shell and programming environment approaches to expert system development.
Expert Witnessing and Scientific Testimony: A Guidebook, Second Edition
by Kenneth S. CohenBased on the author‘s more than 35 years of experience as a successful expert witness, this revised and expanded edition of Expert Witnessing and Scientific Testimony: A Guidebook demonstrates how to properly present scientific, criminal, and forensic testimony and survive the onslaught of cross-examination in court. It presents material in a step-
Experten-Forum Powertrain: Band 1: Elektrische Systemkomponenten und Speichertechnik (Proceedings)
by Alexander HeintzelHöhere elektrische Fahrzeug-Bordnetzspannungen eröffnen die Chance, bei Ladungswechsel, Verbrennung, Emissionierung und Reibung neue Lösungsansätze zu finden. Dies wird beim Experten-Forum Powertrain mit der ATZlive-Veranstaltung "Komponenten und Kompetenzen zukünftiger Antriebe" 2022 diskutiert. Die Tagung ist eine unverzichtbare Plattform für den Wissens- und Gedankenaustausch von Forschern und Entwicklern aller Unternehmen und Institutionen. Der Inhalt: Energiewandler. - Getriebe & Mechanik. - Energiespeicher. - Werkstoffe, Beschichtungen, Schmierstoffe.
Experten-Forum Powertrain: Band 2: Simulation und Test (Proceedings)
by Alexander HeintzelHöhere elektrische Fahrzeug-Bordnetzspannungen eröffnen die Chance, bei Ladungswechsel, Verbrennung, Emissionierung und Reibung neue Lösungsansätze zu finden. Dies wird beim Experten-Forum Powertrain mit der ATZlive-Veranstaltung "Komponenten und Kompetenzen zukünftiger Antriebe" 2022 diskutiert. Die Tagung ist eine unverzichtbare Plattform für den Wissens- und Gedankenaustausch von Forschern und Entwicklern aller Unternehmen und Institutionen. Der Inhalt: Wasserstoff. - Thermomanagement. - Simulation elektrifizierter Antriebe. - Simulationsmethoden.
Experten-Forum Powertrain: Komponenten zukünftiger Antriebe 2023 (Proceedings)
by Alexander HeintzelDie Nutzung und Wandlung von regenerativ erzeugten Energieträgern eröffnen neue Wege, um die Mobilitäts- und Transportbedürfnisse nachhaltig zu lösen, und bilden die Grundlage für die Entwicklung zukünftiger Antriebe. Neue Komponenten und Bauteile müssen zudem nachhaltig gestaltet werden. Voraussetzung für einen effizienten Produktentstehungsprozess sind dabei maßgeschneiderte Entwicklungsmethoden.
Experten-Forum Powertrain: Moderne Antriebe – emissionsarm, elektrifiziert und variabel (Proceedings)
by Johannes LieblHöhere elektrische Fahrzeug-Bordnetzspannungen eröffnen die Chance, bei Ladungswechsel,Verbrennung, Emissionierung und Reibung neue Lösungsansätze zu finden. Dies wird beim Experten-Forum Powertrain mit der ATZlive-Veranstaltung Ladungswechsel und Emissionierung 2019 diskutiert.Die Tagung ist eine unverzichtbare Plattform für den Wissens- und Gedankenaustausch von Forschern und Entwicklern aller Unternehmen und Institutionen.
Experten-Forum Powertrain: Tribologie im Wandel - Elektrifizierung, Materialoptimierung und Systemverständnis (Proceedings)
by Johannes LieblDie inhaltlichen Schwerpunkte des Tagungsbands zur ATZlive-Veranstaltung Experten-Forum Powertrain: Reibung in Antrieb und Fahrzeug 2019 liegen u.a. auf immer strengeren CO2-Grenzwerten und der Erfüllung der damit einhergehenden anspruchsvollen Prüfzyklen unter realen Fahrbedingungen. Die Tagung ist eine unverzichtbare Plattform für den Wissens- und Gedankenaustausch von Forschern und Entwicklern aller Unternehmen und Institutionen, die dieses Ziel verfolgen.
Experten-Forum Powertrain: Vom Prüfstand bis Big Data - ganzheitliche Validierung-in-the-Loop (Proceedings)
by Johannes LieblEin Schlüssel zu treffsicherer und effizienter Produktentwicklung liegt in der nahtlosen Verknüpfung von Simulation und Test in allen Phasen. Mit diesem umfassenden Ansatz wird die Elektrifizierung der Antriebe zum Treiber von Innovationen. Dies wird beim Experten-Forum Powertrain mit der ATZlive-Veranstaltung Simulation und Test 2019 diskutiert. Die Tagung ist eine unverzichtbare Plattform für den Wissens- und Gedankenaustausch von Forschern und Entwicklern aller Unternehmen und Institutionen.
Expertise Out of Context: Proceedings of the Sixth International Conference on Naturalistic Decision Making (Expertise: Research And Applications Ser.)
by Robert R. HoffmanResearchers have revealed that real expertise, while applied to well-defined tasks with highly circumscribed contexts, often stretches beyond its routine boundaries. For example, a medical doctor may be called upon to diagnose a rare disease or perform emergency surgery outside his or her area of specialization because other experts are not availab
Expertise Under Scrutiny: 21st Century Decision Making for Environmental Health and Safety (Risk, Systems and Decisions)
by Benjamin D. Trump Myriam MeradThis book explores the challenges that confront leaders in government and industry when making decisions in the areas of environmental health and safety. Today, decision making demands transparency, robustness, and resiliency. However thoughtfully they are devised, decisions made by governments and enterprises can often trigger immediate, passionate public response.Expertise Under Scrutiny shows how leaders can establish organizational decision making processes that yield valid, workable choices even in fast-changing and uncertain conditions.The first part of the book examines the organizational decision making process, describing the often-contentious environment in which important environmental health and safety decisions are made, and received. The authors review the roles of actors and experts in the decision making process. The book goes on to address such topics as:· The roles of actors and experts in the decision making process· Ethics and analytics as drivers of good decisions· Why managing problems in safety, security, environment, and health Part II offers an outline for adopting a formal decision support structure, including the use of decision support tools. It includes a chapter devoted to ELECTRE (ELimination and Choice Expressing Reality), a multi-criteria decision analysis system.The book concludes with an insightful appraisal and analysis of the expertise, structure and resources needed for navigating well-supported, risk-informed decisions in our 21st Century world.Expertise Under Scrutiny benefits a broad audience of students, academics, researchers, and working professionals in management and related disciplines, especially in the field of environmental health and safety.
Explainable AI (XAI) for Sustainable Development: Trends and Applications
by Seifedine Kadry Rajesh Kumar Dhanaraj Ravi Shekhar Tiwari Lakshmi D.This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain.• Focuses on virtual machine placement and migration techniques for cloud data centres• Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services• Includes application of placement techniques for quality of service, performance, and reliability improvement• Explores data centre resource management, load balancing and orchestration using machine learning techniques• Analyses dynamic and scalable resource scheduling with a focus on resource managementThe reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.
Explainable AI Within the Digital Transformation and Cyber Physical Systems: XAI Methods and Applications
by Moamar Sayed-MouchawehThis book presents Explainable Artificial Intelligence (XAI), which aims at producing explainable models that enable human users to understand and appropriately trust the obtained results. The authors discuss the challenges involved in making machine learning-based AI explainable. Firstly, that the explanations must be adapted to different stakeholders (end-users, policy makers, industries, utilities etc.) with different levels of technical knowledge (managers, engineers, technicians, etc.) in different application domains. Secondly, that it is important to develop an evaluation framework and standards in order to measure the effectiveness of the provided explanations at the human and the technical levels. This book gathers research contributions aiming at the development and/or the use of XAI techniques in order to address the aforementioned challenges in different applications such as healthcare, finance, cybersecurity, and document summarization. It allows highlighting the benefits and requirements of using explainable models in different application domains in order to provide guidance to readers to select the most adapted models to their specified problem and conditions.Includes recent developments of the use of Explainable Artificial Intelligence (XAI) in order to address the challenges of digital transition and cyber-physical systems;Provides a textual scientific description of the use of XAI in order to address the challenges of digital transition and cyber-physical systems;Presents examples and case studies in order to increase transparency and understanding of the methodological concepts.
Explainable AI and Other Applications of Fuzzy Techniques: Proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021 (Lecture Notes in Networks and Systems #258)
by Vladik Kreinovich Julia Rayz Victor Raskin Scott DickThis book focuses on an overview of the AI techniques, their foundations, their applications, and remaining challenges and open problems. Many artificial intelligence (AI) techniques do not explain their recommendations. Providing natural-language explanations for numerical AI recommendations is one of the main challenges of modern AI. To provide such explanations, a natural idea is to use techniques specifically designed to relate numerical recommendations and natural-language descriptions, namely fuzzy techniques. This book is of interest to practitioners who want to use fuzzy techniques to make AI applications explainable, to researchers who may want to extend the ideas from these papers to new application areas, and to graduate students who are interested in the state-of-the-art of fuzzy techniques and of explainable AI—in short, to anyone who is interested in problems involving fuzziness and AI in general.
Explainable AI for Cybersecurity
by Prabhat Mishra Zhixin PanThis book provides a comprehensive overview of security vulnerabilities and state-of-the-art countermeasures using explainable artificial intelligence (AI). Specifically, it describes how explainable AI can be effectively used for detection and mitigation of hardware vulnerabilities (e.g., hardware Trojans) as well as software attacks (e.g., malware and ransomware). It provides insights into the security threats towards machine learning models and presents effective countermeasures. It also explores hardware acceleration of explainable AI algorithms. The reader will be able to comprehend a complete picture of cybersecurity challenges and how to detect them using explainable AI. This book serves as a single source of reference for students, researchers, engineers, and practitioners for designing secure and trustworthy systems.
Explainable AI for Education: Recent Trends and Challenges (Information Systems Engineering and Management #19)
by Álvaro Rocha Soumi Dutta Sonali Vyas Tanu Singh“Explainable AI for Education: Recent Trends and Challenges” is a comprehensive exploration of the intersection between artificial intelligence (AI) and education. In this book, we delve into the critical need for transparency and interpretability in AI systems deployed within educational contexts. Key Themes Understanding AI in Education: We provide a concise overview of AI techniques commonly used in educational settings, including recommendation systems, personalized learning, and assessment tools. Readers will gain insights into the potential benefits and risks associated with AI adoption in education. The Black-Box Problem: AI models often operate as “black boxes,” making it challenging to understand their decision-making processes. We discuss the implications of this opacity and emphasize the importance of explainability. Explainable AI (XAI) Techniques: From rule-based approaches to neural network interpretability, we explore various methods for making AI models more transparent. Examples and case studies illustrate how XAI can enhance educational outcomes. Ethical Considerations: As AI becomes more integrated into education, ethical dilemmas arise. We address issues related to bias, fairness, and accountability, emphasizing responsible AI practices. Future Directions: Our book looks ahead, considering the evolving landscape of AI and its impact on education. We propose research directions and practical steps to promote XAI adoption in educational institutions.
Explainable AI in Health Informatics (Computational Intelligence Methods and Applications)
by Patrick Siarry Mayuri Mehta Rajanikanth AluvaluThis book provides a comprehensive review of the latest research in the area of explainable artificial intelligence (XAI) in health informatics. It focuses on how explainable AI models can work together with humans to assist them in decision-making, leading to improved diagnosis and prognosis in healthcare. This book includes a collection of techniques and systems of XAI in health informatics and gives a wider perspective about the impact created by them. The book covers the different aspects, such as robotics, informatics, drugs, patients, etc., related to XAI in healthcare. The book is suitable for both beginners and advanced AI practitioners, including students, academicians, researchers, and industry professionals. It serves as an excellent reference for undergraduate and graduate-level courses on AI for medicine/healthcare or XAI for medicine/healthcare. Medical institutions can also utilize this book as reference material and provide tutorials to medical professionals on how the XAI techniques can contribute to trustworthy diagnosis and prediction of the diseases.
Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability (Studies in Computational Intelligence #914)
by David L. Buckeridge Arash Shaban-Nejad Martin MichalowskiThis book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.
Explainable AI: Foundations, Methodologies and Applications (Intelligent Systems Reference Library #232)
by Vasile Palade Mayuri Mehta Indranath ChatterjeeThis book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas.The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.