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Showing 10,826 through 10,850 of 11,168 results

The Sustainable Development of Port Group: Evaluation and Management

by Bo Lu

This book primarily focuses on the coordinated development of port groups and the environment. It extensively reviews relevant literature and draw on existing theoretical research achievements to analyze the mechanisms and influencing factors behind the formation of green, ecological, or energy-saving ports. It employs attribution decomposition analysis and LMDI decomposition methods to identify driving forces and factors for low-carbon ports. Furthermore, with the goal of minimizing the comprehensive cost of low-carbon port investment and considering constraints such as the upper limit of low-carbon investment in ports, the book utilizes tools such as stochastic processes and optimization decision theory to establish an optimization model for carbon emission reduction investment in low-carbon ports, aiming to find the best investment solution. Throughout the process, the book employs a combination of quantitative and qualitative analysis methods and provides corresponding recommendations and suggestions from an industry and port perspective through comparative analysis and case studies.

Web and Big Data: 7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part III (Lecture Notes in Computer Science #14333)

by Jianxin Li Geyong Min Xiangyu Song Ruyi Feng Yunliang Chen

The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023, which took place in Wuhan, China, in October 2023. The total of 138 papers included in the proceedings were carefully reviewed and selected from 434 submissions. They focus on innovative ideas, original research findings, case study results, and experienced insights in the areas of the World Wide Web and big data, covering Web technologies, database systems, information management, software engineering, knowledge graph, recommend system and big data.

Web and Big Data: 7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part II (Lecture Notes in Computer Science #14332)

by Jianxin Li Geyong Min Xiangyu Song Ruyi Feng Yunliang Chen

The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023, which took place in Wuhan, China, in October 2023. The total of 138 papers included in the proceedings were carefully reviewed and selected from 434 submissions. They focus on innovative ideas, original research findings, case study results, and experienced insights in the areas of the World Wide Web and big data, covering Web technologies, database systems, information management, software engineering, knowledge graph, recommend system and big data.

Love, Beauty or Morality

by Alberto Castelli

This book is moved by two main questions. Is Love a matter of beauty or mortality? In other words, is love an ethical ideal? Also, modernity understood as the age of mechanical reproduction, has shaped not simply our cities but our very same way of feeling. How has our conception of love changed, if it has, in the past two centuries? This book is to address these questions. It is not to trace the evolution of the idea of love in Western culture, from Plato to the present day. It aims to bring to the surface different shades of love lingering at the heart of Western culture to rehabilitate the myth of love to its original credibility. Our confused civilization has split love into sensual and moral aspects but to be aware of it is perhaps to defeat a dilemma that seems so unnatural. This book is about how we make sense of our lives through love and how nineteenth and twentieth-century literature records it.

Web and Big Data: 7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part IV (Lecture Notes in Computer Science #14334)

by Xiangyu Song Ruyi Feng Yunliang Chen Jianxin Li Geyong Min

The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023, which took place in Wuhan, China, in October 2023. The total of 138 papers included in the proceedings were carefully reviewed and selected from 434 submissions. They focus on innovative ideas, original research findings, case study results, and experienced insights in the areas of the World Wide Web and big data, covering Web technologies, database systems, information management, software engineering, knowledge graph, recommend system and big data.

Unconstrained Optimization and Quantum Calculus (Uncertainty and Operations Research)

by Shashi Kant Mishra Bhagwat Ram Kin Keung Lai Predrag Rajković

This book provides a better clue to apply quantum derivative instead of classical derivative in the modified optimization methods, compared with the competing books which employ a number of standard derivative optimization techniques to address large-scale, unconstrained optimization issues. Essential proofs and applications of the various techniques are given in simple manner without sacrificing accuracy. New concepts are illustrated with the help of examples. This book presents the theory and application of given optimization techniques in generalized and comprehensive manner. Methods such as steepest descent, conjugate gradient and BFGS are generalized and comparative analyses will show the efficiency of the techniques.

Metaverse for Industry 5.0 (SpringerBriefs in Applied Sciences and Technology)

by Nilanjan Dey Soumi Majumder

This book provides a detailed picture of the metaverse for industry 5.0. In the context of Industry 5.0, the concept of the metaverse aligns with the vision of Web 4.0, representing a digital ecosystem where individuals and organizations collaborate in a human-centric approach to create personalized value.This virtual universe connects multiple interconnected worlds, enabling real-time interactions between users and computer-generated environments. By integrating technologies such as artificial intelligence (AI), virtual reality (VR), augmented reality (AR), mixed reality(MR) and the Internet of Things (IoT), the metaverse within Industry 5.0 aims to foster innovation and enhance productivity, efficiency, and overall well-being through tailored and value-driven solutions. This book explores the concept of the metaverse in the context of Industry 5.0, highlighting its definition, evolution, advantages, and disadvantages. It also discusses pillars of technological advancement, challenges, and opportunities, ethical issues including its integration into various sectors, i.e., healthcare, construction, manufacturing and others. The entry concludes with a proposal for a conceptual framework for integrating the human-centric metaverse.

Sentiment Analysis and its Application in Educational Data Mining (SpringerBriefs in Applied Sciences and Technology)

by Soni Sweta

The book delves into the fundamental concepts of sentiment analysis, its techniques, and its practical applications in the context of educational data. The book begins by introducing the concept of sentiment analysis and its relevance in educational settings. It provides a thorough overview of the various techniques used for sentiment analysis, including natural language processing, machine learning, and deep learning algorithms. The subsequent chapters explore applications of sentiment analysis in educational data mining across multiple domains. The book illustrates how sentiment analysis can be employed to analyze student feedback and sentiment patterns, enabling educators to gain valuable insights into student engagement, motivation, and satisfaction. It also examines how sentiment analysis can be used to identify and address students' emotional states, such as stress, boredom, or confusion, leading to more personalized and effective interventions. Furthermore, the book explores the integration of sentiment analysis with other educational data mining techniques, such as clustering, classification, and predictive modeling. It showcases real-world case studies and examples that demonstrate how sentiment analysis can be combined with these approaches to improve educational decision-making, curriculum design, and adaptive learning systems.

Rhythm in the Sky: Periodic Motions in the Universe (Studies in Rhythm Engineering)

by Gautam Gangopadhyay Anirban Kundu

This book provides a brief and pedagogic introduction to a variety of topics, with a common motif that they all occur, in some way or other, in “the sky”, and involve some sort of “rhythm”. Sky is not just the inside of a dome; there are many strata, each with its own beauties and mysteries. As we go up, the atmosphere thins out and ends, and we move into the space, into the realms of planets, asteroids, and comets, and even further, beyond the solar system into the vast Milky Way galaxy. This is where the night sky comes in, with all its twinkling stars, the stars in our own galaxy. We must use telescopes to explore further. In this book, we will start from the ancient astronomers and how they studied the motion of earth through space. Study of planetary orbits, from Kepler and Newton to Einstein, had been fascinating. We will try to take the reader through the wonderful worlds of the cepheid variables and pulsars to the strange oscillations of the neutrinos and the new eye to look at the universe, namely the gravitational waves. The book stops at the discovery of the black hole at the center of our galaxy, but that is just because we must stop somewhere, or the assortment could go on ad infinitum. Some of these topics are highly mathematical in nature, but we will try to avoid the complicated mathematics as much as possible, without compromising with the rigor.

Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2024 Workshops, RAFDA and IWTA, Taipei, Taiwan, May 7–10, 2024, Proceedings (Lecture Notes in Computer Science #14658)

by Zhaoxia Wang Chang Wei Tan

This book constitutes the workshops that have been held in conjunction with the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan, during May 25–28, 2023. For RAFDA 2024, Workshop on Research and Applications of Foundation Models for Data Mining and Affective Computing, 15 submissions have been received and 9 full papers have been accepted for publication. For IWTA 2024, International Workshop on Temporal Analytics, 4 full papers have been accepted from a total of 6 submissions.

Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization

by Maosheng Zheng Jie Yu

This book develops robust design and assessment of product and production from viewpoint of system theory, which is quantized with the introduction of brand new concept of preferable probability and its assessment. It aims to provide a new idea and novel way to robust design and assessment of product and production and relevant problems. Robust design and assessment of product and production is attractive to both customer and producer since the stability and insensitivity of a product’s quality to uncontrollable factors reflect its value. Taguchi method has been used to conduct robust design and assessment of product and production for half a century, but its rationality is criticized by statisticians due to its casting of both mean value of a response and its dispersion into one index, which doesn’t characterize the issue of simultaneous optimization of above two independent sub-responses sufficiently for robust design, so an appropriate approach is needed. The preference or role of a response in the evaluation is indicated by using preferable probability as the unique index. Thus, the rational approach for robust design and assessment of product and production is formulated by means of probabilistic multi-objective optimization, which reveals the simultaneous optimization of both mean value of a response and its dispersion in manner of joint probability. Besides, defuzzification and fuzzification measurements are involved as preliminary approaches for robust assessment, the latter provides miraculous treatment for the 'target the best' case flexibly.

Flood Risk Management: Assessment and Strategy (Springer Natural Hazards)

by Brototi Biswas Bhagwan Balasaheb Ghute

This book examines the nature of flood in different landscapes and the various factors that contribute to flooding in different areas. It identifies flood risk zones in different terrain types and provides valuable insights into the anthropogenic, geographical, hydro-geological, and geomorphological aspects of flood-prone areas to achieve sustainable risk management. The book also explores the impact of avalanches, global warming, and flash floods in different settings where such types of flooding have become more common. In addition, the volume provides case studies to evaluate the impact of flooding in both natural and man-made environments. To better understand and manage floods, the book combines advanced geospatial tools and techniques with indigenous knowledge. Using machine learning and multiple-criteria decision analysis, the book provides an amalgamation of technology and indigenous knowledge to assess flood susceptibility. The book also includes strategies to manage flood risks and case studies that demonstrate best practices in flood risk management. The volume is a valuable resource for researchers, students, and policy makers to understand the causes of floods and their socio-economic impact in different areas.

The Road to Outsourcing 4.0: Next-Generation Supply Chain

by Mohammadreza Akbari

This book provides valuable insights and guidance for firms looking to improve their operations in the face of disruption and uncertainty. It contributes to the body of knowledge in logistics and supply chain disciplines which will be useful to both industry practitioners and academics. With this, the book first emphasizes the road to outsourcing 4.0 by providing updated information and perspectives on these trends, given that outsourcing has evolved significantly over the years and new technologies, such as artificial intelligence (AI), cloud computing, Internet of Things (IoT), and machine learning are changing the way outsourcing is done. In addition, the book also explores new models such as third-party logistics (3PL) providers and crowdsourcing which have changed the landscape of outsourcing. Lastly, the book includes updated best practices for outsourcing, including how to choose outsourcing partners, manage outsourcing relationships, and minimize risks in the post-COVID-19 recovery period. Each chapter in the book goes through concepts, development histories, benefits, risks and challenges, and includes recent case studies

Handbook on Radiation Environment, Volume 1: Sources, Applications and Policies

by Dinesh Kumar Aswal

This handbook provides a comprehensive review of radiation present in the environment, its sources, dose measurement techniques, exposures in natural and man-made radiation environments, policies governing radiation safety, societal applications of radiation technology, radiological and nuclear events, preparedness, response, and mitigation of radiation emergencies. It covers natural and man-made radiation environment with an emphasis on renewed interest in nuclear energy as a clean and green source of power generation. Additionally, it reviews various approaches to understand the fate and behaviour of radionuclides in the terrestrial and aquatic ecosystems. It also presents nuclear technology's diverse applications, from diagnostic and therapeutic nuclear medicine to materials modifications and sustainable waste management strategies and the role of ionizing radiation in ensuring food security and safety. The handbook also highlights the existing (internationally adopted) radiation protection policies, which are originated from linear-no-threshold (LNT) model of dose-response characteristics. The scientific basis of LNT-model and its limitations at low doses prompts a revision of the exiting radiation protection policies for better utilization of the benefits of ionizing radiation. The handbook serves as a comprehensive resource for students, academicians, scientists, engineers, and policymakers interested in seeking an in-depth knowledge of radiation and the multifaceted applications of radiation technology while protecting human health and the environment.

Artificial Intelligence and the Law

by Tshilidzi Marwala Letlhokwa George Mpedi

This textbook offers a starting point for the education of attorneys and other legal professionals about the potential impact of artificial intelligence (AI) on the law, as well as a forum for discussing artificial intelligence's legal and ethical concerns. Intended for classroom use, this book will help students, legal professionals and policymakers alike. AI is swiftly transforming the world, including the legal system. Legal applications to areas such as ethics, human rights, climate change, labor law, health, social protection, inequality, lethal autonomous weapons, the criminal justice system and autonomous vehicles, contract drafting, legal investigation, criminal analysis and evidence investigation, utilize AI. As AI becomes more sophisticated, its impact on the law will likely increase.

Intelligent Systems and Computing (Lecture Notes on Data Engineering and Communications Technologies #207)

by Bing-Yuan Cao Shu-Feng Wang Seyed Hadi Nasseri Yu-Bin Zhong

This book includes high quality research papers submitted at the 2022 “Four Session (ICFIE, ICORG, GDORS, CGHMORS) Celebration” Joint International Conference held on December 28, 2022 and the online meeting of the Fuzzy Information and Engineering Branch of the China Operations Research Society on September 17, 2022. It covers topics in the fields of certainty, stochastic uncertainty, and fuzzy uncertainty, including computer science and mathematics, operations research and control, artificial intelligence, information and engineering technology, barrier-free communication for people with disabilities, digital logistics and knowledge representation, medical applications, queuing theory and game theory, algorithms and optimization methods. The book is a valuable reference book for scholars, engineers, management professionals, and graduate, undergraduate, and vocational students interested in computer science, mathematics, and fuzzy mathematics and operations research, as well as their applications in information technology and engineering.

Artificial Intelligence in Drug Development: Patenting and Regulatory Aspects (Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications)

by Kavita Sharma Padmavati Manchikanti

This book discusses how Artificial Intelligence developments have revolutionized the area of medicine and how companies use them to develop applications. While the book covers the growth of AI in medicine and the early developments in AI based medical tools, it provides an in-depth analysis of the current developments in relation to the area of medical diagnostics. The book focuses on how enterprises and institutes have developed their intellectual property portfolio, particularly patents, in this area. Cross-country patenting analysis helps in understanding key areas of growth in certain markets and also company strategies and arrangements. The introduction of AI based products in market is subject to regulation. The developments in policy and regulation influence the development and deployment of such products into the market. This book brings focus to the development of policy and regulation and how regulatory developments impact the introduction of AI-based healthcare products from a cross-country perspective. Further, how regulatory developments lead to the evolution of standards, build reliability and safety in this area are also examined. The unique aspect of this book is the comprehensive coverage of the dual aspects of the nature and scope of AI-based innovations in health care and the related drug regulatory aspects which are imperative for the understanding for students, researchers, and those who work in this area.

Spatial Data and Intelligence: 5th China Conference, SpatialDI 2024, Nanjing, China, April 25–27, 2024, Proceedings (Lecture Notes in Computer Science #14619)

by Xiaofeng Meng Xueying Zhang Bolong Zheng Danhuai Guo Di Hu Chunju Zhang

This book constitutes the refereed post proceedings of the 5th China Conference on Spatial Data and Intelligence, SpatialDI 2024, held in Nanjing, China, during April 25–27, 2024. The 25 full papers included in this book were carefully reviewed and selected from 95 submissions. They were organized in topical sections as follows: Spatiotemporal Data Analysis, Spatiotemporal Data Mining, Spatiotemporal Data Prediction, Remote Sensing Data Classification and Applications of Spatiotemporal Data Mining.

Web and Big Data. APWeb-WAIM 2023 International Workshops: KGMA 2023 and SemiBDMA 2023, Wuhan, China, October 6–8, 2023, Proceedings (Communications in Computer and Information Science #2094)

by Jianxin Li Geyong Min Xiangyu Song Ruyi Feng Yunliang Chen

This proceedings constitutes selected papers from the Workshops KGMA and SemiBDMA which were held in conjunction with APWeb-WAIM 2023 which took place in Wuhan, China, during October 6-8, 2023. The 7 full papers included in this book were carefully reviewed and selected from 15 papers submitted to these workshops. They focus on new research approaches on the theory, design, and implementation of data management systems.

Biosensors: Developments, Challenges and Perspectives (Springer Tracts in Electrical and Electronics Engineering)

by J. Ajayan Ribu Mathew

This book equips its readers with fundamental concepts and a comprehensive understanding of the principle and functionality of biosensors. This book focuses on various biosensor technologies like field effect transistor (FET), plasmonics, bioresorbable biosensors, electro-chemical biosensors, etc., and their applications. The book also covers the reliability aspects and challenges in biosensor development that are a major cause of erroneous calibration and even failure. The book also features the concept of bio receptors, immobilization techniques, target-receptor interactions, surface energy changes, sensitivity, selectivity, etc. This would be an ideal reference for researchers and scholars studying biosensors realized with various material sets and technologies including state-of-the-art modern materials and innovative techniques.

Advances in Risk and Reliability Modelling and Assessment: Proceedings of 5th International Conference on Reliability Safety and Hazard (ICRESH 2024) (Lecture Notes in Mechanical Engineering)

by Prabhakar V. Varde Gopika Vinod N. S. Joshi

This book presents the proceedings of the 5th International Conference on Reliability Safety & Hazard-2024, held in Mumbai during February 21–24, 2024. It covers the latest advances in artificial intelligence and machine learning in development of risk-conscious culture. Various topics covered in this volume are reliability prediction, precursor event analysis, fuzzy reliability, structural reliability, passive system reliability, digital system reliability, risk-informed approach to decision making, dynamic PSA, uncertainty and sensitivity modeling, among others. The book is a valuable resource for researchers and professionals working in both academia and industry in the areas of complex systems, safety-critical systems, and risk-based engineering.

MATLAB and Simulink in Action: Programming, Scientific Computing and Simulation

by Dingyü Xue Feng Pan

The textbook is intended for teaching MATLAB language and its applications. The book is composed of three parts: MATLAB programming, scientific computing with MATLAB, and system simulation with Simulink. Since MATLAB is widely used in all fields of science and engineering, a good introduction to the language can not only help students learn how to use it to solve practical problems, but also provide them with the skills to use MATLAB independently in their later courses and research. The three parts of the book are well-balanced and tailored to the needs of engineering students, and the mathematical problems commonly encountered in engineering can be easily solved using MATLAB. This textbook is suitable for undergraduate and graduate students majoring in science and engineering.

Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization (Genetic and Evolutionary Computation)

by Dhish Kumar Saxena Sukrit Mittal Kalyanmoy Deb Erik D. Goodman

This book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EMâO). EMâO algorithms, namely EMâOAs, iteratively evolve a set of solutions towards a good Pareto Front approximation. The availability of multiple solution sets over successive generations makes EMâOAs amenable to application of ML for different pursuits. Recognizing the immense potential for ML-based enhancements in the EMâO domain, this book intends to serve as an exclusive resource for both domain novices and the experienced researchers and practitioners. To achieve this goal, the book first covers the foundations of optimization, including problem and algorithm types. Then, well-structured chapters present some of the key studies on ML-based enhancements in the EMâO domain, systematically addressing important aspects. These include learning to understand the problem structure, converge better, diversify better, simultaneously converge and diversify better, and analyze the Pareto Front. In doing so, this book broadly summarizes the literature, beginning with foundational work on innovization (2003) and objective reduction (2006), and extending to the most recently proposed innovized progress operators (2021-23). It also highlights the utility of ML interventions in the search, post-optimality, and decision-making phases pertaining to the use of EMâOAs. Finally, this book shares insightful perspectives on the future potential for ML based enhancements in the EMâOA domain.To aid readers, the book includes working codes for the developed algorithms. This book will not only strengthen this emergent theme but also encourage ML researchers to develop more efficient and scalable methods that cater to the requirements of the EMâOA domain. It serves as an inspiration for further research and applications at the synergistic intersection of EMâOA and ML domains.

Paleogeography and Gas Exploration of Marine Multiple Formations in Central Sichuan Basin

by Tongshan Wang Qiufen Li

This book studies the marine multiple formations of petroleum geology in Central Sichuan Basin. It provides thorough, systematic, and empirical guideline on the topic. It makes full use of geological, drilling, logging, and seismic data, according to the principle of point-line-surface combination, to reconstruct the fine lithofacies paleogeography of Sinian-Triassic, reveals genesis and distribution characteristics of reservoir, evaluates the key exploration fields and favorable zones, and provides detailed basic geological data for oil and gas exploration. This book is used as reference for both professionals and students engaged in geology research.

Proceedings of Eighth International Congress on Information and Communication Technology: ICICT 2023, London, Volume 4 (Lecture Notes in Networks and Systems #696)

by Xin-She Yang R. Simon Sherratt Nilanjan Dey Amit Joshi

This book gathers selected high-quality research papers presented at the Eighth International Congress on Information and Communication Technology, held at Brunel University, London, on 20–23 February 2023. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes.

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