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Advances in Applications of Data-Driven Computing (Advances in Intelligent Systems and Computing #1319)
by Jagdish Chand Bansal Lance C. C. Fung Milan Simic Ankush GhoshThis book aims to foster machine and deep learning approaches to data-driven applications, in which data governs the behaviour of applications. Applications of Artificial intelligence (AI)-based systems play a significant role in today’s software industry. The sensors data from hardware-based systems making a mammoth database, increasing day by day. Recent advances in big data generation and management have created an avenue for decision-makers to utilize these huge volumes of data for different purposes and analyses. AI-based application developers have long utilized conventional machine learning techniques to design better user interfaces and vulnerability predictions. However, with the advancement of deep learning-based and neural-based networks and algorithms, researchers are able to explore and learn more about data and their exposed relationships or hidden features. This new trend of developing data-driven application systems seeks the adaptation of computational neural network algorithms and techniques in many application domains, including software systems, cyber security, human activity recognition, and behavioural modelling. As such, computational neural networks algorithms can be refined to address problems in data-driven applications. Original research and review works with model and build data-driven applications using computational algorithm are included as chapters in this book.
A Tribute to the Legend of Professor C. R. Rao: The Centenary Volume (Indian Statistical Institute Series)
by Arijit Chaudhuri Sat N. Gupta Rajkumar RoychoudhuryThis book includes speeches given during five seminar sessions held in honor of Prof. C. R. Rao, on his 100th year. This book also contains a few write-ups touching on the diverse aspects of this august personality. The chapters pay tribute to Prof. C. R. Rao, the Padma Vibhushan awardee, by discussing his life and contributions to the field of statistics. The book also includes a chapter by the Abel Prize winner Prof. S. R. Varadhan who happened to successfully complete his Ph.D. under the guidance of Prof. C. R. Rao.
Ethnic Enclaves in Contemporary Japan (International Perspectives in Geography #14)
by Yoshitaka IshikawaThis book is the first work to comprehensively investigate the enclaves of non-Japanese residents in Japan. In a comparative study, it convincingly examines eight enclaves of five nationalities (Chinese, Korean, Filipino, Brazilian and Turkish) in twelve municipalities. Japan now leads in terms of depopulation in countries affiliated with the Organisation for Economic Co-operation and Development (OECD). The fact that the country has been supplementing the decreased number of Japanese nationals with an increase in migrants, who form enclaves, has attracted great attention. The temporal development and status quo of such enclaves are important concerns of researchers, policymakers and the general public. This publication is the result of joint studies by geographers and sociologists and contributes to a more detailed understanding of these topics. It thus represents a valuable achievement in the study of the segregation and enclave formation of minority nationalities. The empirical validity of existing explanatory frameworks, such as spatial assimilation and heterolocalism, is also discussed in a Japanese context.
Fractal Time: Why a Watched Kettle Never Boils (Studies of Nonlinear Phenomena in Life Science, Volume 14)
by Susie VrobelThis book provides an interdisciplinary introduction to the notion of fractal time, starting from scratch with a philosophical and perceptual puzzle.
Understanding Markov Chains: Examples and Applications
by Nicolas PrivaultThis book provides an undergraduate introduction to discrete and continuous-time Markov chains and their applications. A large focus is placed on the first step analysis technique and its applications to average hitting times and ruin probabilities. Classical topics such as recurrence and transience, stationary and limiting distributions, as well as branching processes, are also covered. Two major examples (gambling processes and random walks) are treated in detail from the beginning, before the general theory itself is presented in the subsequent chapters. An introduction to discrete-time martingales and their relation to ruin probabilities and mean exit times is also provided, and the book includes a chapter on spatial Poisson processes with some recent results on moment identities and deviation inequalities for Poisson stochastic integrals. The concepts presented are illustrated by examples and by 72 exercises and their complete solutions.
Playful User Interfaces: Interfaces that Invite Social and Physical Interaction (Gaming Media and Social Effects)
by Anton NijholtThe book is about user interfaces to applications that have been designed for social and physical interaction. The interfaces are ‘playful’, that is, users feel challenged to engage in social and physical interaction because that will be fun. The topics that will be present in this book are interactive playgrounds, urban games using mobiles, sensor-equipped environments for playing, child-computer interaction, tangible game interfaces, interactive tabletop technology and applications, full-body interaction, exertion games, persuasion, engagement, evaluation and user experience. Readers of the book will not only get a survey of state-of-the-art research in these areas, but the chapters in this book will also provide a vision of the future where playful interfaces will be ubiquitous, that is, present and integrated in home, office, recreational, sports and urban environments, emphasizing that in the future in these environments game elements will be integrated and welcomed.
Bioinformatics of Non Small Cell Lung Cancer and the Ras Proto-Oncogene (SpringerBriefs in Applied Sciences and Technology)
by Amita Kashyap D. Bujamma Naresh Babu MCancer is initiated by activation of oncogenes or inactivation of tumor suppressor genes. Mutations in the K-ras proto-oncogene are responsible for 10-30% of adenocarcinomas. Clinical Findings point to a wide variety of other cancers contributing to lung cancer incidence. Such a scenario makes identification of lung cancer difficult and thus identifying its mechanisms can contribute to the society. Identifying unique conserved patterns common to contributing proto-oncogenes may further be a boon to Pharmacogenomics and pharmacoinformatics. This calls for ab initio/de novo drug discovery that in turn will require a comprehensive in silico approach of Sequence, Domain, Phylogenetic and Structural analysis of the receptors, ligand screening and optimization and detailed Docking studies. This brief involves extensive role of the RAS subfamily that includes a set of proteins, which cause an over expression of cancer-causing genes like M-ras and initiate tumour formation in lungs. SNP Studies and Structure based drug discovery will also be undertaken.
International Conference on Mathematical Sciences and Statistics 2013
by Adem Kilicman Wah June Leong Zainidin EshkuvatovThis volume is devoted to the most recent discoveries in mathematics and statistics. It also serves as a platform for knowledge and information exchange between experts from industrial and academic sectors. The book covers a wide range of topics, including mathematical analyses, probability, statistics, algebra, geometry, mathematical physics, wave propagation, stochastic processes, ordinary and partial differential equations, boundary value problems, linear operators, cybernetics and number and functional theory. It is a valuable resource for pure and applied mathematicians, statisticians, engineers and scientists.
Dimensions Math 6B
by Bill Jackson Kow Cheong YanDimensions Math is a series designed to teach middle school students foundational skills in mathematics. It follows the Singapore Mathematics Framework and covers the content standards in the United States Common Core State Standards for mathematics. This series empowers students to solve problems and master concepts through the thoughtful use of different approaches. It facilitates students’ understanding and internalization of concepts and encourages deep exploration of topics. Students will enjoy learning math through this comprehensive system and be motivated to study, discover, and apply knowledge in real-life situations.
Space Data Management (Studies in Big Data #141)
by Agostino CortesiThe book presents latest results pertaining to challenges faced by researchers in space data management. There are large number of highly important applications that currently rely upon data from satellites and space missions, ranging from weather prediction to monitoring of environmental pollution, climate change, marine traffic, agriculture, and urban planning, etc. The quality and quantity of space data poses new and specific challenges to the scientific community, covering the entire life cycle of space data management and with a need for an interdisciplinary approach. The chapters written by experts discusses impacts of these challenges, and report activities that can stimulate new research.
Genetic and Evolutionary Computing: Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume I), October 6–8, 2023, Kaohsiung, Taiwan (Lecture Notes in Electrical Engineering #1145)
by Jerry Chun-Wei Lin Chin-Shiuh Shieh Mong-Fong Horng Shu-Chuan ChuThis first book of conference proceedings contains selected papers presented at ICGEC 2023, the 15th International Conference on Genetic and Evolutionary Computing, held on October 6–8, 2023, in Kaohsiung, Taiwan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers know the up-to-date techniques of the mentioned topics, including swarm intelligence and its applications, operational technologies and networked multimedia applications, wearable computing and intelligent data hiding, image processing and intelligent applications, and intelligent multimedia tools and applications. It helps readers bring new ideas or apply the designed approaches from the collected papers to their professional jobs.
Namhafte indische Mathematiker und Statistiker: des 19. und 20. Jahrhunderts in Bengalen
by Purabi MukherjiDieses Buch bietet eine umfassende Darstellung der Geschichte der indischen Mathematiker und Statistiker und deckt viele fehlende Teile der wissenschaftlichen Darstellung der mathematischen und statistischen Forschung in Bengalen (heute Westbengalen), Indien, im 19. und 20. Jahrhundert ab. Dieses Buch gibt einen kurzen historischen Überblick über die Einrichtung der ersten beiden Abteilungen an einer indischen Universität, in denen Lehre und Forschung für Graduierte eingeführt wurden. Dies war eine einzigartige Auszeichnung für die 1857 gegründete Universität von Kalkutta. Auch die Gründung des weltberühmten Indischen Statistischen Instituts (ISI) in Kalkutta wird kurz beschrieben. Leben und Werk der 16 Pioniere der mathematischen Wissenschaft, die an oben genannten Institutionen und dem ersten indische Institut für Technologie (IIT) in Indien wirkten, werden in klarer Sprache dargestellt. Einige herausragende Gelehrte, die am ISI ausgebildet wurden, Indien aber dauerhaft verließen, werden in einem eigenen Kapitel kurz vorgestellt. Dieses Buch schließt eine seit langem bestehende Lücke in der Geschichte der modernen indischen Mathematik, was das Buch für Forscher in der Geschichte der Wissenschaft und der Mathematik sehr nützlich machen wird. Das Buch ist in sehr klarer Sprache geschrieben, mit wenig mathematischem oder statistischem Jargon, was es auch für allgemeine Leser mit Interesse an Wissenschaftsgeschichte, selbst mit nicht-mathematischem, nicht-statistischem Hintergrund, sehr lesbar macht. Dieses Buch ist eine klare Darstellung des Kampfes und des Erfolges der Forscher in den mathematischen Wissenschaften in Bengalen (einem wichtigen Teil des kolonialen Indiens), die vor der internationalen Gemeinschaft der mathematischen Wissenschaftler enthüllt wird. Echte Kenner werden den Wert des Buches zu schätzen wissen, da es viele vorherrschende Missverständnisse ausräumen wird.Die Übersetzung wurde mit Hilfe von künstlicher Intelligenz durchgeführt. Eine anschließende menschliche Überarbeitung erfolgte vor allem in Bezug auf den Inhalt.
Proceedings of International Joint Conference on Advances in Computational Intelligence: IJCACI 2023 (Algorithms for Intelligent Systems)
by Mohammad Shorif Uddin Jagdish Chand BansalThis book gathers outstanding research papers presented at the 7th International Joint Conference on Advances in Computational Intelligence (IJCACI 2023), held in hybrid mode at South Asian University, New Delhi, India during October 14–15, 2023. IJCACI 2023 is jointly organized by Jahangirnagar University (JU), Bangladesh and South Asian University (SAU), India. The book presents the novel contributions in areas of computational intelligence and it serves as a reference material for advance research. The topics covered are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.
Materials Informatics and Catalysts Informatics: An Introduction
by Keisuke Takahashi Lauren TakahashiThis textbook is designed for students and researchers who are interested in materials and catalysts informatics with little to no prior experience in data science or programming languages. Starting with a comprehensive overview of the concept and historical context of materials and catalysts informatics, it serves as a guide for establishing a robust materials informatics environment. This essential resource is designed to teach vital skills and techniques required for conducting informatics-driven research, including the intersection of hardware, software, programming, machine learning within the field of data science and informatics. Readers will explore fundamental programming techniques, with a specific focus on Python, a versatile and widely-used language in the field. The textbook explores various machine learning techniques, equipping learners with the knowledge to harness the power of data science effectively. The textbook provides Python code examples, demonstrating materials informatics applications, and offers a deeper understanding through real-world case studies using materials and catalysts data. This practical exposure ensures readers are fully prepared to embark on their informatics-driven research endeavors upon completing the textbook. Instructors will also find immense value in this resource, as it consolidates the skills and information required for materials informatics into one comprehensive repository. This streamlines the course development process, significantly reducing the time spent on creating course material. Instructors can leverage this solid foundation to craft engaging and informative lecture content, making the teaching process more efficient and effective.
Brain-like Super Intelligence from Bio-electromagnetism (Studies in Rhythm Engineering)
by Anirban Bandyopadhyay Kanad RayThis book discusses various aspects of bioinspired technologies but with an additional emphasis on the medical science, starting from the popular article on neurobiology to pure biophysics that ends with the superintelligence of biological systems that could be reverse engineered. It covers eight different aspects of natural intelligence, starting from the fundamental electromagnetic properties of a protein to the vibrations and the resonance of the entire biomaterial system. It also covers a wide spectrum of hierarchical communication among different biological systems for intelligence and then medical science is applied.
Data Science and Emerging Technologies: Proceedings of DaSET 2023 (Lecture Notes on Data Engineering and Communications Technologies #191)
by Michael W. Berry Yap Bee Wah Dhiya Al-Jumeily OBEThe book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4–5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.
Artificial Intelligence and Sustainable Computing: Proceedings of ICSISCET 2023 (Algorithms for Intelligent Systems)
by Sandeep Kumar Manjaree Pandit M. K. GaurThis book presents high-quality research papers presented at the 5th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2023) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, during October 21–22, 2023. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.
Auf dem Weg zu Netto-Null-Zielen: Nutzung von Data Science für Langzeit-Nachhaltigkeitswege
by Neha Sharma Prithwis Kumar DeDieses Buch diskutiert die Verwendung von Technologie, Data Science und Open Data, um das Netto-Null-Emissionsziel des Pariser Abkommens zum Klimawandel zu erreichen. Es gibt viele Diskussionen über Nachhaltigkeit und Lösungen für den Klimawandel, um die negativen Auswirkungen zu mildern. Die Verwendung von Technologiehebeln zur Bewältigung von Klimaherausforderungen wird jedoch selten als der bedeutendste Katalysator betrachtet. Die verfügbare Forschung in diesem Bereich ist im Allgemeinen qualitativer Natur, bei der Technologie und Daten noch nicht genutzt wurden. Durch den Einsatz von KI/ML sagt das Buch die Klimawandelfolgen aufgrund von Investitionen in den fossilen Brennstoffsektor voraus, schätzt die CO2-Emissionen des Verkehrssektors, prognostiziert die durch nicht erneuerbare Energiequellen verursachte durchschnittliche Landtemperatur und segmentiert indische Bundesstaaten auf der Grundlage von Haushalts-CO2-Emissionen. Die Forscher, Entscheidungsträger, Studenten, Lehrer, Bildungseinrichtungen, Regierungen, Regulierungsbehörden, Unternehmen, internationale Organisationen usw. werden immens von diesem Buch profitieren. Darüber hinaus soll dieses Buch dazu dienen, den nächsten Generationen eine dekarbonisierte Umgebung und eine bessere Zukunft zu bieten.
Computational Fluid Dynamics: Finite Difference Method and Lattice Boltzmann Method (Engineering Applications of Computational Methods #20)
by Guoxiang Hou Caikan Chen Shenglei Qin Yuan Gao Kai WangThis book provides a concise and comprehensive introduction to several basic methods with more attention to their theoretical basis and applications in fluid dynamics. Furthermore, some new ideas are presented in this book, for example, a method to solve the transition matrix by difference operator transformation. For this method, the book gives the definition of Fourier integral transformation of translation operator, and proves the transition matrix equaling to the differential operator transformation, so that it is extended to general situations of explicit, implicit, multi-layer difference equations, etc. This flexible approach is also used in the differential part. In addition, the book also includes six types of equivalent stability definitions in two ways and deeply analyzes their errors, stabilities and convergences of the difference equations. What is more important, some new scientific contributions on lattice Boltzmann method (LBM) in recent years are presented in the book as well. The authors write the book combining their ten years teaching experience and research results and this book is intended for graduate students who are interested in the area of computational fluid dynamics (CFD). Authors list some new research achievements, such as simplified lattice Boltzmann method, the simplified lattice Boltzmann flux solver and discrete unified gas kinetic scheme, and expect that this new information could give readers possible further investigating ideas in their future research on CFD area.
Applied Multi-objective Optimization (Springer Tracts in Nature-Inspired Computing)
by Nilanjan DeyThe book explains basic ideas behind several kinds of applied multi-objective optimization and shows how it will be applied in practical contexts in the domain of healthcare, engineering design, and manufacturing. The book discusses how meta-heuristic algorithms are successful in resolving challenging, multi-objective optimization issues in various disciplines, including engineering, economics, medical and environmental management. The topic is useful for graduates, researchers and lecturers in optimization, engineering, management science and computer science.
Open-Set Text Recognition: Concepts, Framework, and Algorithms (SpringerBriefs in Computer Science)
by Xu-Cheng Yin Chun Yang Chang LiuIn real-world applications, new data, patterns, and categories that were not covered by the training data can frequently emerge, necessitating the capability to detect and adapt to novel characters incrementally. Researchers refer to these challenges as the Open-Set Text Recognition (OSTR) task, which has, in recent years, emerged as one of the prominent issues in the field of text recognition. This book begins by providing an introduction to the background of the OSTR task, covering essential aspects such as open-set identification and recognition, conventional OCR methods, and their applications. Subsequently, the concept and definition of the OSTR task are presented encompassing its objectives, use cases, performance metrics, datasets, and protocols. A general framework for OSTR is then detailed, composed of four key components: The Aligned Represented Space, the Label-to-Representation Mapping, the Sample-to-Representation Mapping, and the Open-set Predictor. In addition,possible implementations of each module within the framework are discussed. Following this, two specific open-set text recognition methods, OSOCR and OpenCCD, are introduced. The book concludes by delving into applications and future directions of Open-set text recognition tasks.This book presents a comprehensive overview of the open-set text recognition task, including concepts, framework, and algorithms. It is suitable for graduated students and young researchers who are majoring in pattern recognition and computer science, especially interdisciplinary research.
Data Analytics and Machine Learning: Navigating the Big Data Landscape (Studies in Big Data #145)
by Pushpa Singh Asha Rani Mishra Payal GargThis book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes. Through case studies, readers gain valuable insights and learn practical strategies for implementing data analytics, big data, and machine learning solutions in their own organizations. The book discusses the transformative power of data analytics and big data in various industries and sectors and how machine learning applications have revolutionized exploration by enabling advanced data analysis techniques for mapping, geospatial analysis, and environmental monitoring, enhancing our understanding of the world and its dynamic processes. This book explores how big data explosion, the power of analytics and machine learning revolution can bring new prospects and opportunities in the dynamic and data-rich landscape. It highlights the future research directions in data analytics, big data, and machine learning that explores the emerging trends, challenges, and opportunities in these fields by covering interdisciplinary approaches such as handling and analyzing real-time and streaming data.
Cognitive Computing for Machine Thinking (Innovations in Sustainable Technologies and Computing)
by Makarand R. Velankar Parikshit N. Mahalle Gitanjali R. ShindeThis book presents cognitive modeling along with the new paradigm machine thinking to enhance existing AI power and address its current limitations. This book provides overview of natural and artificial intelligence along with the computing models used currently. The need of advancing the current models is presented with suitable examples. The business case studies presented in different domains provide possible use of augmented intelligence with the proposed machine thinking paradigm. This book is targeted at academicians, researchers, students, professionals who belong to disciplines which involves intelligent computing and modelling human thinking. It provides possible multidisciplinary research directions including social psychology, artificial intelligence, HCI, cognition for applications in various domains.
Diffusionics: Diffusion Process Controlled by Diffusion Metamaterials
by Fu-Bao Yang Ji-Ping HuangThis open access book presents a comprehensive exploration of diffusion metamaterials that control energy and mass diffusion. Currently, if from the perspective of governing equations, diffusion metamaterials and wave metamaterials (pioneered by J. B. Pendry in the 1990s) are recognised as the two most prominent branches in the field of metamaterials. These two branches differ in their emphasis on the diffusion equation (as the governing equation) and time-dependent characteristic lengths in diffusion metamaterials, as opposed to the wave equation (as the governing equation) and time-independent characteristic lengths in wave metamaterials. Organized into three distinct parts – 'Thermal Diffusion Metamaterials', 'Particle Diffusion Metamaterials', and 'Plasma Diffusion Metamaterials' – this book offers a rigorous exploration spanning physics, engineering, and materials science, aimed at advancing our understanding of diffusion processes controlled by diffusion metamaterials. Incorporating foundational theory, computational simulations, and laboratory experiments, the book equips researchers and scholars across these disciplines with comprehensive methods, insights, and results pivotal to the advancement of diffusion control. Beyond facilitating interdisciplinary discourse, the book serves as a catalyst for innovative breakthroughs at the crossroads of physics, thermodynamics, and materials science. Essentially, readers will acquire profound insights that empower them to spearhead advancements in diffusion science (diffusionics) and the engineering of metamaterials.
WALCOM: 18th International Conference and Workshops on Algorithms and Computation, WALCOM 2024, Kanazawa, Japan, March 18–20, 2024, Proceedings (Lecture Notes in Computer Science #14549)
by Ryuhei Uehara Katsuhisa Yamanaka Hsu-Chun YenThis book constitutes the refereed proceedings of the 18th International Conference and Workshops on Algorithms and Computation, WALCOM 2024, held in Kanazawa, Japan, during March 18–20, 2024. The 28 full papers presented in this book, together with two extended abstracts of invited talks, were carefully reviewed and selected from 80 submissions. They cover diverse areas of algorithms and computation, that is, approximation algorithms, algorithmic graph theory and combinatorics, combinatorial algorithms, combinatorial optimization, computational biology, combinatorial reconfiguration, computational complexity, computational geometry, discrete geometry, data structures, experimental algorithm methodologies, graph algorithms, graph drawing, parallel and distributed algorithms, parameterized algorithms, parameterized complexity, network optimization, online algorithms, randomized algorithms, and string algorithms.