The advancements in decision sciences theory and applications can be regarded as a continuously emerging field in all areas of interest including technology, industry, energy, healthcare, education, agriculture, social sciences, and more. Managers in all disciplines face an endless list of complex issues every day. One of the essential managerial skills is the ability to allocate and utilize limited resources appropriately in the efforts of achieving optimal performance efficiently. This is no less important for those who work in the transportation sector. The Handbook of Research on Decision Sciences and Applications in the Transportation Sector explores the importance of decision sciences and the ways in which they apply to the transportation sector. This book covers technologies and tools including machine learning, mathematical modeling, and simulation and their applications in such tasks as reducing fuel costs, improving passenger flow, and ensuring vehicle safety. It is an essential reference source for managers, professionals in the transport industry, supply chain specialists, safety officers, IT consultants, executives, practitioners, scientists, students, researchers, and academicians.

Artificial intelligence (AI) and knowledge management can create innovative digital solutions and business opportunities in Asia from circular and green economies to technological disruption, innovation, and smart cities. It is essential to understand the impact and importance of AI and knowledge management within the digital economy for future development and for fostering the best practices within 21st century businesses. The Handbook of Research on Artificial Intelligence and Knowledge Management in Asia’s Digital Economy offers conceptual frameworks, empirical studies, and case studies that help to understand the latest developments in artificial intelligence and knowledge management, as well as its potential for digital transformation and business opportunities in Asia. Covering topics such as augmented reality. Convolutional neural networks, and digital transformation, this major reference work generates enriching debate on the challenges and opportunities for economic growth and inclusion in the region among business executives and leaders, IT managers, policymakers, government officials, students and educators of higher education, researchers, and academicians.

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Developments in the areas of biology and bioinformatics are continuously evolving and creating a plethora of data that needs to be analyzed and decrypted. Since it can be difficult to decipher the multitudes of data within these areas, new computational techniques and tools are being employed to assist researchers in their findings. The Handbook of Research on Computational Intelligence Applications in Bioinformatics examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Featuring theoretical concepts and best practices in the areas of computational intelligence, artificial intelligence, big data, and bio-inspired computing, this publication is a critical reference source for graduate students, professionals, academics, and researchers.

The SAGE Handbook of Social Media Research Methods spans the entire research process, from data collection to analysis and interpretation. This second edition has been comprehensively updated and expanded, from 39 to 49 chapters. In addition to a new section of chapters focussing on ethics, privacy and the politics of social media data, the new edition provides broader coverage of topics such as: Data sources Scraping and spidering data Locative data, video data and linked data Platform-specific analysis Analytical tools Critical social media analysis Written by leading scholars from across the globe, the chapters provide a mix of theoretical and applied assessments of topics, and include a range of new case studies and data sets that exemplify the methodological approaches. This Handbook is an essential resource for any researcher or postgraduate student embarking on a social media research project. PART 1: Conceptualising and Designing Social Media Research PART 2: Collecting Data PART 3: Qualitative Approaches to Social Media Data PART 4: Quantitative Approaches to Social Media Data PART 5: Diverse Approaches to Social Media Data PART 6: Research & Analytical Tools PART 7: Social Media Platforms PART 8: Privacy, Ethics and Inequalities

Recent advancements and innovations in medical image and data processing have led to a need for robust and secure mechanisms to transfer images and signals over the internet and maintain copyright protection. The Handbook of Research on Information Security in Biomedical Signal Processing provides emerging research on security in biomedical data as well as techniques for accurate reading and further processing. While highlighting topics such as image processing, secure access, and watermarking, this publication explores advanced models and algorithms in information security in the modern healthcare system. This publication is a vital resource for academicians, medical professionals, technology developers, researchers, students, and practitioners seeking current research on intelligent techniques in medical data security.

Network research has recently been adopted as one of the tools of the trade in archaeology, used to study a wide range of topics: interactions between island communities, movements through urban spaces, visibility in past landscapes, material culture similarity, exchange, and much more. This Handbook is the first authoritative reference work for archaeological network research, featuring current topical trends and covering the archaeological application of network methods and theories. This is elaborately demonstrated through substantive topics and case studies drawn from a breadth of periods and cultures in world archaeology. It highlights and further develops the unique contributions made by archaeological research to network science, especially concerning the development of spatial and material culture network methods and approaches to studying long-term network change. This is the go-to resource for students and scholars wishing to explore how network science can be applied in archaeology through an up-to-date overview of the field.

Practical gateway to securing web applications with OIDC, OAuth, SAML, FIDO, and Digital Identity to. KEY FEATURES ● Dive into real-world practical hands-on experience with authentication protocols through sample code. ● Gain a programmer's perspective on cryptography, certificates, and their role in securing authentication processes. ● Explore a wide array of authentication protocols, including TLS, SAML, OAuth, OIDC, WebAuthn, and Digital Identity. ● Graded step-by-step guidance that simplifies complex concepts, making them accessible to programmers of all levels of expertise. DESCRIPTION In today's digital landscape, web apps evolve rapidly, demanding enhanced security. This Ultimate Web Authentication Handbook offers a comprehensive journey into this realm. Beginning with web authentication basics, it builds a strong foundation. You'll explore cryptography fundamentals, essential for secure authentication. The book delves into the connection between authentication and network security, mastering federated authentication via OAuth and OIDC protocols. You'll also harness multi-factor authentication's power and stay updated on advanced trends. The book expands on deepening your understanding of Java Web Token (JWT), FIDO 2, WebAuthn, and biometric authentication to fortify web apps against multifaceted threats. Moreover, you'll learn to use Identity and Access Management (IAM) solutions for constructing highly secure systems. Whether you're a developer, security enthusiast, or simply curious about web security, this book unlocks the secrets of secure online interactions. WHAT WILL YOU LEARN ● Comprehend Web Application Architectures and Enhance Security Measures. ● Implement Robust Web Security with Public Key Cryptography. ● Harness SAML, OAuth, and OIDC for Advanced User Authentication and Authorization. ● Strengthen Web App Security with Multi Factor Authentication. Transition to Passwordless Authentication with FIDO and Biometric Security. ● Stay Ahead with Insights into Digital Identity, Biometric Authentication, Post-Quantum Cryptography, and Zero Trust Architecture Trends. WHO IS THIS BOOK FOR? This book is for computer programmers, web application designers, and architects. Most Identity Management Products focus on the server components, while this book intends to serve numerous developers of client integrations who need a conceptual understanding of the standards. The sample applications are developed using Golang and Flutter Web. TABLE OF CONTENTS 1. Introduction to Web Authentication. 2. Fundamentals of Cryptography. 3. Authentication with Network Security. 4. Federated Authentication-I 5. Federated Authentication II (OAuth and OIDC) 6. Multifactor Authentication. 7. Advanced Trends in Authentication. Appendix A: The Go Programming Language Reference. Appendix B: The Flutter Application Framework. Appendix C: TLS Certificate Creation. Index.

The SAGE Handbook of the 21st Century City focuses on the dynamics and disruptions of the contemporary city in relation to capricious processes of global urbanisation, mutation and resistance. An international range of scholars engage with emerging urban conditions and inequalities in experimental ways, speaking to new ideas of what constitutes the urban, highlighting empirical explorations and expanding on contributions to policy and design. The handbook is organised around nine key themes, through which familiar analytic categories of race, gender and class, as well as binaries such as the urban/rural, are readdressed. These thematic sections together capture the volatile processes and intricacies of urbanisation that reveal the turbulent nature of our early twenty-first century: Hierarchy: Elites and Evictions Productivity: Over-investment and Abandonment Authority: Governance and Mobilisations Volatility: Disruption and Adaptation Conflict: Vulnerability and Insurgency Provisionality: Infrastructure and Incrementalism Mobility: Re-bordering and De-bordering Civility: Contestation and Encounter Design: Speculation and Imagination This is a provocative, inter-disciplinary handbook for all academics and researchers interested in contemporary urban studies.

Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.