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Artificial Intelligence for Bone Disorder: Diagnosis and Treatment
Par Rishabha Malviya, Shivam Rajput, Makarand Vaidya. 2024
ARTIFICIAL INTELLIGENCE FOR BONE DISORDER The authors have produced an invaluable resource that connects the fields of AI and bone…
treatment by providing essential insights into the current state and future of AI in bone condition diagnosis and therapy, as well as a methodical examination of machine learning algorithms, deep learning approaches, and their real-world uses. The book explores the use of artificial intelligence (AI) in the diagnosis and treatment of various bone illnesses. The integration of AI approaches in the fields of orthopedics, radiography, tissue engineering, and other areas related to bone are discussed in detail. It covers tissue engineering methods for bone regeneration and investigates the use of AI tools in this area, emphasizing the value of deep learning and how to use AI in tissue engineering efficiently. The book also covers diagnostic and prognostic uses of AI in orthopedics, such as the diagnosis of disorders involving the hip and knee as well as prognoses for therapies. Chapters also look at MRI, trabecular biomechanical strength, and other methods for diagnosing osteoporosis. Other issues the book examines include several uses of AI in pediatric orthopedics, 3D modeling, digital X-ray radiogrammetry, convolutional neural networks for customized care, and digital tomography. With information on the most recent developments and potential future applications, each chapter of the book advances our understanding of how AI might be used to diagnose and treat bone problems. Audience This book will serve as a guide for orthopedic experts, biomedical engineers, faculty members, research scholars, IT specialists, healthcare workers, and hospital administrators.Computational Drug Discovery: Methods and Applications
Par Vasanthanathan Poongavanam, Vijayan Ramaswamy. 2024
Computational Drug Discovery A comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug…
discovery Computational Drug Discovery: Methods and Applications (2 volume set) covers a wide range of cutting-edge computational technologies and computational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery. Furthermore, dedicated chapters that addresses the recent trends in the field of computer aided drug design, including ultra-large-scale virtual screening for hit identification, computational strategies for designing new therapeutic modalities like PROTACs and covalent inhibitors that target residues beyond cysteine are also presented. To offer the most up-to-date information on computational methods utilized in computational drug discovery, it covers chapters highlighting the use of molecular dynamics and other related methods, application of QM and QM/MM methods in computational drug design, and techniques for navigating and visualizing the chemical space, as well as leveraging big data to drive drug discovery efforts. The book is thoughtfully organized into eight thematic sections, each focusing on a specific computational method or technology applied to drug discovery. Authored by renowned experts from academia, pharmaceutical industry, and major drug discovery software providers, it offers an overview of the latest advances in computational drug discovery. Key topics covered in the book include: Application of molecular dynamics simulations and related approaches in drug discovery The application of QM, hybrid approaches such as QM/MM, and fragment molecular orbital framework for understanding protein-ligand interactions Adoption of artificial intelligence in pre-clinical drug discovery, encompassing protein structure prediction, generative modeling for de novo design, and virtual screening. Techniques for navigating and visualizing the chemical space, along with harnessing big data to drive drug discovery efforts. Methods for performing ultra-large-scale virtual screening for hit identification. Computational strategies for designing new therapeutic models, including PROTACs and molecular glues. In silico ADMET approaches for predicting a variety of pharmacokinetic and physicochemical endpoints. The role of computing technologies like quantum computing and cloud computing in accelerating drug discovery This book will provide readers an overview of the latest advancements in computational drug discovery and serve as a valuable resource for professionals engaged in drug discovery.Fighting Phishing: Everything You Can Do to Fight Social Engineering and Phishing
Par Roger A. Grimes. 2024
Keep valuable data safe from even the most sophisticated social engineering and phishing attacks Fighting Phishing: Everything You Can Do…
To Fight Social Engineering and Phishing serves as the ideal defense against phishing for any reader, from large organizations to individuals. Unlike most anti-phishing books, which focus only on one or two strategies, this book discusses all the policies, education, and technical strategies that are essential to a complete phishing defense. This book gives clear instructions for deploying a great defense-in-depth strategy to defeat hackers and malware. Written by the lead data-driven defense evangelist at the world's number one anti-phishing company, KnowBe4, Inc., this guide shows you how to create an enduring, integrated cybersecurity culture. Learn what social engineering and phishing are, why they are so dangerous to your cybersecurity, and how to defend against them Educate yourself and other users on how to identify and avoid phishing scams, to stop attacks before they begin Discover the latest tools and strategies for locking down data when phishing has taken place, and stop breaches from spreading Develop technology and security policies that protect your organization against the most common types of social engineering and phishing Anyone looking to defend themselves or their organization from phishing will appreciate the uncommonly comprehensive approach in Fighting Phishing.R Programming for Actuarial Science
Par Peter McQuire, Alfred Kume. 2024
R Programming for Actuarial Science Professional resource providing an introduction to R coding for actuarial and financial mathematics applications, with…
real-life examples R Programming for Actuarial Science provides a grounding in R programming applied to the mathematical and statistical methods that are of relevance for actuarial work. In R Programming for Actuarial Science, readers will find: Basic theory for each chapter to complement other actuarial textbooks which provide foundational theory in depth. Topics covered include compound interest, statistical inference, asset-liability matching, time series, loss distributions, contingencies, mortality models, and option pricing plus many more typically covered in university courses. More than 400 coding examples and exercises, most with solutions, to enable students to gain a better understanding of underlying mathematical and statistical principles. An overall basic to intermediate level of coverage in respect of numerous actuarial applications, and real-life examples included with every topic. Providing a highly useful combination of practical discussion and basic theory, R Programming for Actuarial Science is an essential reference for BSc/MSc students in actuarial science, trainee actuaries studying privately, and qualified actuaries with little programming experience, along with undergraduate students studying finance, business, and economics.Blockchain Essentials: Core Concepts and Implementations
Par Ramchandra Sharad Mangrulkar, Pallavi Vijay Chavan. 2024
This book will teach you the core concepts of blockchain technology in a concise manner through straightforward, concrete examples using…
a range of programming languages, including Python and Solidity. The 50 programs presented in this book are all you need to gain a firm understanding of blockchain and how to implement it. The book begins with an introduction to the fundamentals of blockchain technology, followed by a review of its types, framework, applications and challenges. Moving ahead, you will learn basic blockchain programming with hash functions, authentication code, and Merkle trees. You will then dive into the basics of bitcoin, including wallets, digital keys, transactions, digital signatures, and more. This is followed by a crash course on Ethereum programming, its network, and ecosystem. As you progress through the book, you will also learn about Hyperledger and put your newly-gained knowledge to work through case studies and example applications. After reading this book, you will understand blockchain’s underlying concepts and its common implementations. What You Will Learn Master theoretical and practical implementations of various blockchain components using PythonImplement hashing, Merkel trees, and smart contracts using the Solidity programming language for various applicationsGrasp the internal structure of EVM and its implementation in smart contractsUnderstand why blockchain plays an essential role in cryptocurrencies and identify possible applications beyond cryptocurrenciesInvestigate and apply alternative blockchain solutions using Hyperledger, including its integration and deploymentExplore research opportunities through case studies and gain an overview of implementation using various languages Who Is This Book For: Anyone who is new to blockchain and wants to gain an an understanding of how it works and can be implemented.Medical Imaging and Computer-Aided Diagnosis: Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022) (Lecture Notes in Electrical Engineering #810)
Par Ruidan Su, Yudong Zhang, Han Liu, Alejandro F Frangi. 2023
This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma…
rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human–computer interaction, databases, and performance evaluation.Emerging Technologies in Computing: 6th EAI International Conference, iCETiC 2023, Southend-on-Sea, UK, August 17-18, 2023, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #538)
Par Mahdi H. Miraz, Garfield Southall, Maaruf Ali, Andrew Ware. 2024
This book constitutes the refereed conference proceedings of the 6th International Conference on Emerging Technologies in Computing, iCETiC 2023, held…
at Southend-on-Sea, UK, in August 2023.The 15 revised full papers were reviewed and selected from 41 submissions and are organised in topical sections covering AI, expert systems and big data analytics; information and network security; cloud, IoT and distributed computing.Dieses Buch stellt interdisziplinäre Forschung im Bereich Software-Engineering von Anwendungen für den sozialen Sektor vor. Der Autor konzentriert sich auf…
Softwareanwendungen, die für soziale Zwecke eingesetzt werden und den Bedürfnissen der Gesellschaft dienen. Der Autor möchte die Wissenslücke zwischen den Requirements Engineers, der Industrie und den Nutzern schließen, um dazu beizutragen, ein breites Spektrum an Bedürfnissen im sozialen Sektor zu identifizieren (unter Berücksichtigung der Vielfalt der Nutzergruppen in Bezug auf technologische Kompetenzen, Geografie, Demografie sowie verhaltensbezogene und psychografische Aspekte). Das Buch bietet rigorose empirische Studien und validierte Lösungen, die als Leitfaden für die Software-Engineering-Gemeinschaft sowie Forscher, Doktoranden und Lehrer dienen. - Bietet interdisziplinäre Forschung im Bereich Software-Engineering sowie den Bedürfnissen des sozialen Sektors und trägt dazu bei, die Erfolgsquote von auf die Gesellschaft ausgerichteten Startups und Anwendungen zu erhöhen- Ideal für soziale Unternehmer, um das Buch für die Kundenentwicklung mit verschiedenen Nutzern nutzen zu können - Etabliert eine neue Forschungslinie für die Entwicklung von Anforderungen im sozialen Sektor, die Alter, Sprache, Fähigkeiten und Zugang der Nutzer berücksichtigt.Progress in Artificial Intelligence and Pattern Recognition: 8th International Congress on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, Varadero, Cuba, September 27–29, 2023, Proceedings (Lecture Notes in Computer Science #14335)
Par Yanio Hernández Heredia, Vladimir Milián Núñez, José Ruiz Shulcloper. 2024
This book constitutes the refereed proceedings of the 8th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, held…
in Varadero, Cuba, in October 2023. The 68 papers presented in the proceedings set were carefully reviewed and selected from 38 submissions. The IWAIPR conference aims to provide a leading international forum to promote and disseminate ongoing research into mathematical methods of computing techniques for Artifical Intelligence and Pattern Recognition.Advanced Analytics and Learning on Temporal Data: 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers (Lecture Notes in Computer Science #14343)
Par Georgiana Ifrim, Romain Tavenard, Anthony Bagnall, Patrick Schaefer, Simon Malinowski, Thomas Guyet, Vincent Lemaire. 2023
This volume LNCS 14343 constitutes the refereed proceedings of the 8th ECML PKDD Workshop, AALTD 2023, in Turin, Italy, in…
September 2023. The 20 full papers were carefully reviewed and selected from 28 submissions. They are organized in the following topical section as follows: Machine Learning; Data Mining; Pattern Analysis; Statistics to Share their Challenges and Advances in Temporal Data Analysis.Data Analytics for Process Engineers: Prediction, Control and Optimization (Synthesis Lectures on Mechanical Engineering)
Par Daniela Galatro, Stephen Dawe. 2024
This book provides an industry-oriented data analytics approach for process engineers, including data acquisition methods and sources, exploratory data analysis…
and sensitivity analysis, data-based modelling for prediction, data-based modelling for monitoring and control, and data-based optimization of processes. While many of the current data analytics books target business-related problems, the rationale for this book is a specific need to understand and select applicable data analytics approaches pragmatically to analyze process engineering–related problems; this tailored solution for engineers gets amalgamated with governing equations, and in several cases, with the physical understanding of the phenomenon being analyzed. We also consider this book strategically conceived to help map Education 4.0 with Industry 4.0 since it can support undergraduate and graduate students to gain valuable and applicable data analytics stills that can be further used in their workplace. Moreover, it can be used as a reference book for professionals, a quick reference to data analytics tools that can facilitate and/or optimize their process engineering tasks.Uncertainty Analyses in Environmental Sciences and Hydrogeology: Methods and Applications to Subsurface Contamination (SpringerBriefs in Applied Sciences and Technology)
Par Rachid Ababou, Juliette Chastanet, Jean-Marie Côme, Manuel Marcoux, Michel Quintard. 2023
This book highlights several methods and quantitative implementations of both probabilistic and fuzzy-based approaches to uncertainty quantification and uncertainty propagation…
through environmental subsurface pollution models with uncertain input parameters. The book focuses on methods as well as applications in hydrogeology, soil hydrology, groundwater contamination, and related areas (e.g., corrosion of nuclear waste canisters). The methods are illustrated for a broad spectrum of models, from non-differential I/O models to complex PDE solvers, including a novel 3D quasi-analytical model of contaminant transport, and a site-specific computer model of dissolved contaminant migration from a DNAPL (Dense Non Aqueous Phase Liquid) pollution source.Introduction to Digital Humanism: A Textbook
Par Hannes Werthner, Carlo Ghezzi, Jeff Kramer, Julian Nida-Rümelin, Bashar Nuseibeh, Erich Prem, Allison Stanger. 2024
This open access textbook introduces and defines digital humanism from a diverse range of disciplines. Following the 2019 Vienna Manifesto,…
the book calls for a digital humanism that describes, analyzes, and, most importantly, influences the complex interplay of technology and humankind, for a better society and life, fully respecting universal human rights. The book is organized in three parts: Part I “Background” provides the multidisciplinary background needed to understand digital humanism in its philosophical, cultural, technological, historical, social, and economic dimensions. The goal is to present the necessary knowledge upon which an effective interdisciplinary discourse on digital humanism can be founded. Part II “Digital Humanism – a System’s View” focuses on an in-depth presentation and discussion of the main digital humanism concerns arising in current digital systems. The goal of this part is to make readers aware and sensitive to these issues, including e.g. the control and autonomy of AI systems, privacy and security, and the role of governance. Part III “Critical and Societal Issues of Digital Systems” delves into critical societal issues raised by advances of digital technologies. While the public debate in the past has often focused on them separately, especially when they became visible through sensational events the aim here is to shed light on the entire landscape and show their interconnected relationships. This includes issues such as AI and ethics, fairness and bias, privacy and surveillance, platform power and democracy. This textbook is intended for students, teachers, and policy makers interested in digital humanism. It is designed for stand-alone and for complementary courses in computer science, or curricula in science, engineering, humanities and social sciences. Each chapter includes questions for students and an annotated reading list to dive deeper into the associated chapter material. The book aims to provide readers with as wide an exposure as possible to digital advances and their consequences for humanity. It includes constructive ideas and approaches that seek to ensure that our collective digital future is determined through human agency.Proceedings of the 9th IRC Conference on Science, Engineering, and Technology: IRC-SET 2023; 19-August, Singapore
Par Jiqiang Lu, Huaqun Guo, Ian McLoughlin, Eyasu Getahun Chekole, Umayal Lakshmanan, Weizhi Meng, Peng Cheng Wang, Nicholas Heng Loong Wong. 2023
This book highlights the contemporary state of research in multidisciplinary areas of Computer Science, Computer Engineering, Data Science, Electrical and…
Electronics Engineering, Chemical Engineering, Mechanical Engineering, Physics, Biomedical Sciences, Life Sciences, Medicine, Healthcare, and Business Technology. The accepted submissions to the 9th IRC Conference on Science, Engineering and Technology (IRC-SET 2023) presented on 19 August 2023 are published in this conference proceedings. The papers presented here were shortlisted after extensive rounds of rigorous reviews by a panel of esteemed individuals who are pioneers and experts in their respective domains.Proceedings of the 15th International Conference on Axiomatic Design 2023 (Lecture Notes in Networks and Systems #849)
Par Erik Puik, David S. Cochran, Joseph Timothy Foley, Petra Foith-Förster. 2024
This book of carefully selected research papers captures the essence of systems engineering. It offers readers a comprehensive exploration in…
the most recent applications and advancements of Axiomatic Design, a powerful method that elevates the level of product design and manufacturing. Although Axiomatic Design originated at the Massachusetts Institute of Technology (MIT) in Boston, it has been further developed by an active community of users and academics from all over the world. For the 15th time, the International Conference on Axiomatic Design convened global experts to discuss the core of the methodology. Their shared objective was to advance systems engineering, catering to the increasing complexity of modern product design. From over 85 submissions, the program committee selected 20 papers to ensure quality and relevance. Our profound gratitude extends to the contributing authors, whose research and dedication have shaped this collection, and to the program committee members for their unwavering commitment to academic integrity. Through their combined efforts, this document stands as a testament to the innovative spirit and academic excellence synonymous with systems engineering as developed by MIT.AI for Designers
Par Md Haseen Akhtar, Janakarajan Ramkumar. 2024
This book presents select research writings from researchers and professionals around the globe on the application, potential, and limitations of…
AI in different domains. The topics covered include AI in product design, AI in architecture design, AI in textile design, AI in interaction design, and AI for society in general. The book also discusses various cross-applications of AI in other industrial sectors like urban planning and design, AI for inclusive future, etc. The book is a valuable reference for designers in multidisciplinary areas. This book is of interest for anyone who is a beginner, researcher, and professional interested in artificial intelligence and allied fields.Intelligent Computing and Optimization: Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 3 (Lecture Notes in Networks and Systems #853)
Par Pandian Vasant, Mohammad Shamsul Arefin, Vladimir Panchenko, J. Joshua Thomas, Elias Munapo, Gerhard-Wilhelm Weber, Roman Rodriguez-Aguilar. 2023
This book of Springer Nature is another proof of Springer’s outstanding greatness on the lively interface of Holistic Computational Optimization,…
Green IoTs, Smart Modeling, and Deep Learning! It is a masterpiece of what our community of academics and experts can provide when an interconnected approach of joint, mutual, and meta-learning is supported by advanced operational research and experience of the World-Leader Springer Nature! The 6th edition of International Conference on Intelligent Computing and Optimization took place at G Hua Hin Resort & Mall on April 27–28, 2023, with tremendous support from the global research scholars across the planet. Objective is to celebrate “Research Novelty with Compassion and Wisdom” with researchers, scholars, experts, and investigators in Intelligent Computing and Optimization across the globe, to share knowledge, experience, and innovation—a marvelous opportunity for discourse and mutuality by novel research, invention, and creativity. This proceedings book of the 6th ICO’2023 is published by Springer Nature—Quality Label of Enlightenment.This book is considered as a monograph but also as a potential textbook for graduate students, focusing on the application…
of FCMs for modelling and analysing the behaviour of multicomponent systems. In the last two decades, no monograph or textbook has been published on the topic Fuzzy Cognitive Maps (FCM), so this new book is definitely filling a gap in the literature of computational intelligence. The book is built up didactically, the novel results in the field being presented in the way of starting with two real-life case studies, one in the area of waste management, while the other one in modelling bank management systems. In both cases, the book starts with explaining the applied problem and then presenting how the model construction is done and what problems emerge when attempts are made for applying directly earlier results on FCM modelling. In the first case study, the problem of the oversimplification leads to inadequacy of the model, and then it is shown how new, much finer models can be built up based on expert domain knowledge. Then, the new problem of losing transparency and interpretability emerges, and as a solution, a new algorithm family is proposed that reduces FCMs to fewer components, while preserving the essential characteristics of the original model.The second case study raises the problems of stability and sensitivity of FCMs, especially, considering that expert knowledge is often uncertain and subjective. The new results summarised in the book target the questions of how to ascertain whether an FCM is converging to one or several fixed point attractors, whether there is a bifurcation when parameters are changing, etc. Both problems deal with the ultimate question whether the system modelled is stable and sustainable.Anti-Fraud Engineering for Digital Finance: Behavioral Modeling Paradigm
Par Cheng Wang. 2023
This book offers an introduction to the topic of anti-fraud in digital finance based on the behavioral modeling paradigm. It…
deals with the insufficiency and low-quality of behavior data and presents a unified perspective to combine technology, scenarios, and data for better anti-fraud performance. The goal of this book is to provide a non-intrusive second security line, rather than replaced with existing solutions, for anti-fraud in digital finance. By studying common weaknesses in typical fields, it can support the behavioral modeling paradigm across a wide array of applications. It covers the latest theoretical and experimental progress and offers important information that is just as relevant for researchers as for professionals.High Performance Computing, Smart Devices and Networks: Select Proceedings of CHSN 2022 (Lecture Notes in Electrical Engineering #1087)
Par Ruchika Malhotra, L. Sumalatha, S. M. Warusia Yassin, Ripon Patgiri, Naresh Babu Muppalaneni. 2024
This book comprises the proceedings of the 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN…
2022). This book highlights high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers in this volume are peer-reviewed by experts in related areas. The book will serve as a valuable reference resource for academics and researchers across the globe.