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Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology: NICEDT-2024, Volume 1 (Lecture Notes in Networks and Systems #1022)
by Isaac Woungang Sanjay Kumar Dhurandher Yumnam Jayanta SinghThe book presents selected papers from NIELIT's International Conference on Communication, Electronics and Digital Technology (NICEDT-2024) held during 16–17 February 2024 in Guwahati, India. The book is organized in two volumes and covers state-of-the-art research insights on artificial intelligence, machine learning, big data, data analytics, cybersecurity and forensic, network and mobile security, advance computing, cloud computing, quantum computing, VLSI and semiconductors, electronics system, Internet of Things, robotics and automations, blockchain and software technology, digital technologies for future, and assistive technology for Divyangjan (people with disabilities).
Proceedings of the Pacific Rim Statistical Conference for Production Engineering: Big Data, Production Engineering And Statistics (ICSA Book Series in Statistics)
by Dongseok Choi Daeheung Jang Tze Leung Lai Youngjo Lee Ying Lu Jun Ni Peter Qian Peihua Qiu George TiaoThis book presents the proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering: Production Engineering, Big Data and Statistics, which took place at Seoul National University in Seoul, Korea in December, 2016. The papers included discuss a wide range of statistical challenges, methods and applications for big data in production engineering, and introduce recent advances in relevant statistical methods.
Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 2: ICCIC 2023, 8-9 December, Hyderabad, India (Cognitive Science and Technology)
by Amit Kumar Gheorghita Ghinea Suresh MeruguThis book presents original, peer-reviewed select articles from the International Conference on Cognitive and Intelligent Computing (ICCIC-2023), held on December 8–9, 2023, at Hyderabad, in India. The book focuses on the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL in order to highlight its role in the modelling, identification, optimisation, prediction, forecasting, and control of future intelligent systems. It includes contributions from a methodological/application standpoint in understanding artificial intelligence and machine learning approaches and their capabilities in solving a wide range of problems in the real world.
Proceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017): Transcending Boundaries, Embracing Multidisciplinary Diversities
by Liew-Kee Kor Abd-Razak Ahmad Zanariah Idrus Kamarul Ariffin MansorThis book is a product of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017) to be held in Langkawi in November 2017. It is divided into four sections according to the thrust areas: Computer Science, Mathematics, Statistics, and Multidisciplinary Applications. All sections sought to confront current issues that society faces today. The book brings collectively quantitative, as well as qualitative, research methods that are also suitable for future research undertakings. Researchers in Computer Science, Mathematics and Statistics can use this book as a sourcebook to enrich their research works.
Proceedings of the Vortex Workshop: VW2023, December 11-13, San Diego, USA (Springer Proceedings in Physics #254)
by Yiqian Wang Chaoqun Liu Yan LiWritten by the leading experts in the field, this book results from Vortex Workshop 2023 which took place in San Diego, the USA, on December 11–13. Vortex is ubiquitous in the universe such as tornado, hurricane, airplane tip vortex, and even star vortex in Galaxy. Vortices are also building blocks, muscles, and sinews of turbulent flows. A vortex is intuitively recognized as a rotational/swirling motion of fluids but until recently had no rigidly mathematical definition. In 1858, Helmholtz first defined vortex as composed of so-called vortex filaments, which are infinitesimal vorticity tubes, which is called as the first generation of vortex definition and identification, or G1. Although G1 has been accepted by the fluid dynamics community and almost all textbooks for over a century, we can find many immediate counterexamples, for example, in the laminar boundary layer, where the vorticity (shear) is very large near the wall, but not rotation (no vortex) exists. To solve these contradictions, many vortex criteria methods have been developed during the past 4 decades. More popular methods are represented by the Q, ∆, criteria methods. These methods have achieved part of success in vortex identification, which are called the second generation of vortex identification or G2. However, G2 has several critical drawbacks. First, they are all scalars which have no rotation axis directions, but vortex is a vector. It is hard or impossible to use a scalar to represent a vector. Second, like vorticity, these criteria methods are all contaminated by shear in different degrees. Third, they are all very sensitive on threshold selections. The recently developed Liutex is called the third generation of vortex definition and identification, or G3, which is a uniquely defined vector.
Proceedings of the Worldwide Music Conference 2021: Volume 1 (Current Research in Systematic Musicology #8)
by Ildar D. Khannanov Roman RuditsaThis book presents sixteen chapters in Volume 1. This Volume I of the Proceedings of the Worldwide Music Conference 2021 offers a smorgasbord of scientific approaches to music. The congress is one of a kind; it is dedicated not to a specific field but to the interdisciplinary developments and the interaction with the representatives from actual scientific disciplines. The languages of mathematics, computer science, semiotics, palaeography, and medicine are in the mix; geography of the studies is also impressive—Greece, Mexico, China, Russia, India, Poland, and USA, to name just a few. The purpose of such juxtaposition is to see how the terminology, categorical apparatus, and interpretations of music vary from science to science and how this can enrich the terminology of music theory. They cover a wide range of topics that the editors divided into four subfields: music in interdisciplinary contexts, music and current technology, musical instruments and voice, and music pedagogy and medicine. The opening section of the Proceedings is thus dedicated to the idea of interdisciplinarity, relationship of creator of theory of harmony Rameau to sciences of his time, the idea of number in music, co-creation, and the category of musical network. Three more chapters here deal with Russian palaeography, Indian musical genre, and the idea of musical semiotics. It is a kind of opening statement from music theorists. Part two, music and current technology, united three chapters, on “zero gravity” concept in modern music, discussion of scales as mathematical networks, and the innovation in digital music making, transforming it from stationary to mobile applications. The third part, musical instruments and voice, is of special interest because it is in the study of the instruments, the design, acoustic characteristics, and tuning, and sciences have cooperated with music theory for centuries. In addition to instruments, one chapter here is dedicated to voice. The last part, musical pedagogy and medicine, takes the reader even further into the interdisciplinary domain. The Proceedings is written in standard English language, prepared for the pleasure of reading of wide circles of professionals in different fields. The purpose of the editors is to bring this rather diverse set of texts into the context of a fruitful dialogue.
Proceedings of the XI International Scientific Conference "Digital Transformation of the Economy: Volume 1 (Lecture Notes in Networks and Systems #1064)
by Jakub Horák Valentina Vycheslavovna Mantulenko Jiří KučeraThis book includes selected reports of the XI International Scientific Conference “Digital Transformation of the Economy: Challenges, Trends and New Opportunities” (ISCDTE 2024), Samara, Russia. The proceedings volumes present the latest research on the digital transformation of the economy, its challenges, trends and new opportunities. The conference mainly focused on issues of the digital transformation, such as the theoretical background for the development of socio-economic systems in the digital age and specific practical issues related to actual business practices. Consisting of 8 chapters corresponding to the thematic areas of the conference, and written by scientists and practitioners from different regions, the book offers answers to the most pressing questions for contemporary business, research, engineering and education community from the perspective of the new reality.
Proceedings of the XI International Scientific Conference "Digital Transformation of the Economy: Volume 2 (Lecture Notes in Networks and Systems #1063)
by Jakub Horák Valentina Vycheslavovna Mantulenko Jiří KučeraThis book includes selected reports of the XI International Scientific Conference “Digital Transformation of the Economy: Challenges, Trends and New Opportunities” (ISCDTE 2024), Samara, Russia. The proceedings volumes present the latest research on the digital transformation of the economy, its challenges, trends and new opportunities. The conference mainly focused on issues of the digital transformation, such as the theoretical background for the development of socio-economic systems in the digital age and specific practical issues related to actual business practices. Consisting of 8 chapters corresponding to the thematic areas of the conference, and written by scientists and practitioners from different regions, the book offers answers to the most pressing questions for contemporary business, research, engineering and education community from the perspective of the new reality.
Proceedings of Third International Conference on Advances in Computer Engineering and Communication Systems: ICACECS 2022 (Lecture Notes in Networks and Systems #612)
by A. Brahmananda Reddy S. Nagini Valentina E. Balas K. Srujan RajuThis book includes original, peer-reviewed research articles from International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2022), held in VNR Vignana Jyoythi Institute of Engineering and Technology (VNR VJIET), Hyderabad, Telangana, India, during August 11–12, 2022. The book focuses on “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems” enlargements and reviews on the advanced topics in artificial intelligence, machine learning, data mining and big data computing, knowledge engineering, semantic Web, cloud computing, Internet of Things, cybersecurity, communication systems, and distributed computing and smart systems.
Proceedings of Third International Conference on Computing and Communication Networks: ICCCN 2023, Volume 1 (Lecture Notes in Networks and Systems #917)
by Giancarlo Fortino Akshi Kumar Abhishek Swaroop Pancham ShuklaThis book includes selected peer-reviewed papers presented at third International Conference on Computing and Communication Networks (ICCCN 2023), held at Manchester Metropolitan University, UK, during 17–18 November 2023. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, data analytics, cyber security for industry 4.0, and smart and sustainable environmental systems.
Proceedings of Third International Conference on Computing and Communication Networks: ICCCN 2023, Volume 2 (Lecture Notes in Networks and Systems #977)
by Giancarlo Fortino Akshi Kumar Abhishek Swaroop Pancham ShuklaThis book includes selected peer-reviewed papers presented at third International Conference on Computing and Communication Networks (ICCCN 2023), held at Manchester Metropolitan University, UK, during 17–18 November 2023. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber-physical systems, data analytics, cybersecurity for Industry 4.0, and smart and sustainable environmental systems.
Proceedings of Trends in Electronics and Health Informatics: TEHI 2022 (Lecture Notes in Networks and Systems #675)
by Mufti Mahmud Claudia Mendoza-Barrera M. Shamim Kaiser Anirban Bandyopadhyay Kanad Ray Eduardo LugoThis book includes selected peer-reviewed papers presented at the International Conference on Trends in Electronics and Health Informatics (TEHI 2022), held at University of Puebla, Puebla, México, during December 7–9, 2022. The book is broadly divided into five sections—artificial intelligence and soft computing, healthcare informatics, Internet of things and data analytics, electronics, and communications.
Proceedings of Trends in Electronics and Health Informatics: TEHI 2021 (Lecture Notes in Networks and Systems #376)
by Kanad Ray Anirban Bandyopadhyay M. Shamim Kaiser Raghvendra Singh Vishal NagarThis book includes selected peer-reviewed papers presented at the International Conference on Trends in Electronics and Health Informatics (TEHI 2021), organized by Department of Electronics and Communication Engineering and Department of Computer Science and Engineering, Pranveer Singh Institute of Technology Kanpur, India, during 16–17 December 2021. The book is broadly divided into five sections—artificial intelligence and soft computing, healthcare informatics, Internet of things and data analytics, electronics, and communications.
Proceedings of Workshop on Interdisciplinary Sciences 2023: Interdisciplinary Sciences: Applied Mathematics, AI, and Statistics (Mathematics for Industry #38)
by Ton Viet Ta Linh Thi Hoai NguyenThis volume features a selection of technical papers presented at the workshop “The Fifth Workshop on Interdisciplinary Sciences (WIS 2023)". Contributions from esteemed researchers and academics in applied mathematics, AI, and statistics offer valuable insights into their latest research. The papers also delve into interdisciplinary applications, spanning fields such as agriculture and economics, with strong emphasis on data analysis techniques. We hope this proceedings volume will serve as a valuable resource for scholars, researchers, and practitioners interested in the recent advancements and emerging trends in interdisciplinary sciences.
Proceedings of World Conference on Artificial Intelligence: WCAIAA 2024 (Algorithms for Intelligent Systems)
by Ashish Kumar Tripathi Darpan Anand Atulya K. NagarThis book is a collection of outstanding research papers presented at the World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2024), organized by Sir Padampat Singhania University, India, and is technically sponsored by Soft Computing Research Society during February 22–23, 2024. The topics covered are agent-based systems, evolutionary algorithms, approximate reasoning, bioinformatics and computational biology, artificial intelligence in modeling and simulation, natural language processing, brain–machine interfaces, collective intelligence, computer vision and speech understanding, data mining, swarm intelligence, machine learning, human–computer interaction, intelligent sensor, devices and applications, and intelligent database systems.
Process Algebra for Parallel and Distributed Processing
by Michael Alexander William GardnerCollects the Latest Research Involving the Application of Process Algebra to ComputingExploring state-of-the-art applications, Process Algebra for Parallel and Distributed Processing shows how one formal method of reasoning-process algebra-has become a powerful tool for solving design and implementation challenges of concurrent systems. Parallel Pr
Process Capability Analysis: Estimating Quality
by Neil W. PolhemusProcess Capability Analysis: Estimating Quality presents a systematic exploration of process capability analysis and how it may be used to estimate quality. The book is designed for practitioners who are tasked with insuring a high level of quality for the products and services offered by their organizations. Along with describing the necessary statistical theory, the book illustrates the practical application of the techniques to data that do not always satisfy the standard assumptions. <P><P> The first two chapters deal with attribute data, where the estimation of quality is restricted to counts of nonconformities. Both classical and Bayesian methods are discussed. The rest of the book deals with variable data, including extensive discussions of both capability indices and statistical tolerance limits. Considerable emphasis is placed on methods for handling non-normal data. Also included are discussions of topics often omitted in discussions of process capability, including multivariate capability indices, multivariate tolerance limits, and capability control charts. A separate chapter deals with the problem of determining adequate sample sizes for estimating process capability. <P><P> Features: <li> Comprehensive treatment of the subject with consistent theme of estimating percent of nonconforming product or service. <li> Includes Bayesian methods. <li> Extension of univariate techniques to multivariate data. <li> Demonstration of all techniques using Statgraphics data analysis software. <P><P> Neil Polhemus is Chief Technology Officer at Statgraphics Technology and the original developer of the Statgraphics program for statistical analysis and data visualization. Dr. Polhemus spent 6 years on the faculty of the School of Engineering and Applied Science at Princeton University before moving full-time to software development and consulting. He has taught courses dealing with statistical process control, design of experiments and data analysis for more than 100 companies and government agencies.
Process Capability Indices: A Comprehensive Exposition Of Quality Control Measures (Series On Quality, Reliability And Engineering Statistics #Vol. 12)
by Samuel Kotz Norman L. JohnsonA solid, rigorous, yet comprehensible analysis of process capability indices, this work bridges the gap between theoretical statisticians and quality control practitioners, showing how an understanding of these indices can lead to process improvement.
Process Mining Techniques for Managing and Improving Healthcare Systems
by Maha ZayoudThis book discusses a new process mining method along with a detailed comparison between different techniques that provide a complete vision of the process of data acquisition, data analysis, and data prediction. Process Mining Techniques for Managing and Improving Healthcare Systems offers a new framework for process learning which is probabilistic and enables the process to be learned in an accumulative manner. The steps of prediction modeling and building the required knowledge are highlighted throughout the book, along with a strong emphasis on the correlation between the healthcare domain and technology including the different aspects, such as: managing records, information, and procedures; early detection of diseases; and the improvement of accuracy in choosing the right treatment procedures. This reference provides a wealth of knowledge for practitioners, researchers, and students at the basic and intermediary levels working within the healthcare system, computer science, electronics and communications, as well as medical providers and also hospital management entities.
Process Mining Workshops: ICPM 2024 International Workshops, Lyngby, Denmark, October 14–18, 2024, Revised Selected Papers (Lecture Notes in Business Information Processing #533)
by Andrea Delgado Tijs SlaatsThis book constitutes the revised accepted papers of several workshops which were held in conjunction with the 6th International Conference on Process Mining, ICPM 2024, held in Lyngby, Denmark, during October 2024. The 56 revised full papers presented in this book were carefully reviewed and selected from 126 submissions. The papers presented in this volume stem from the following workshops: – 9th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) – 3rd International Workshop on Education Meets Process Mining (EduPM) – 3rd International Workshop on Collaboration Mining for Distributed Systems (CoMinDS) – 5th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) – 5th International Workshop on Event Data and Behavioral Analytics (EdbA) – 7th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – 1st International Workshop on Empirical Research in Process Mining (ERPM) – 1st International Workshop on Generative Artificial Intelligence for Process Mining (GenAI4PM) – 4th International Workshop on Stream Management & Analytics for Process Mining (SMA4PM) – 1st International Workshop on Process Mining for Sustainability (PM4S).
Process Mining Workshops: ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers (Lecture Notes in Business Information Processing #503)
by Johannes De Smedt Pnina SofferThis volume constitutes the revised selected papers of several workshops which were held in conjunction with the 5th International Conference on Process Mining, ICPM 2023, held in Rome, Italy, in October 23–27, 2023.The 38 revised full papers presented in this book were carefully reviewed and selected from 85 submissions. The book also contains one invited talk. ICPM 2023 presented the following six workshops:– 4th International Workshop on Event Data and Behavioral Analytics (EdbA)– 4th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)– 6th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)– 8th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)– 2nd International Workshop on Education Meets Process Mining (EduPM)– 2nd International Workshop on Collaboration Mining for Distributed Systems (COMINDS).
Process Monitoring and Fault Diagnosis Based on Multivariable Statistical Analysis (Engineering Applications of Computational Methods #19)
by Xiangyu Kong Jiayu Luo Xiaowei FengThis book reports the developments of the Total Least Square (TLS) algorithms for parameter estimation and adaptive filtering. Specifically, this book introduces the authors’ latest achievements in the past 20 years, including the recursive TLS algorithms, the approximate inverse power iteration TLS algorithm, the neural based MCA algorithm, the neural based SVD algorithm, the neural based TLS algorithm, the TLS algorithms under non-Gaussian noises, performance analysis methods of TLS algorithms, etc. In order to faster the understanding and mastering of the new methods provided by this book for readers, before presenting each new method in each chapter, a specialized section is provided to review the closely related several basis models. Throughout the book, large of procedure of new methods are provided, and all new algorithms or methods proposed by us are tested and verified by numerical simulations or actual engineering applications. Readers will find illustrative demonstration examples on a range of industrial processes to study. Readers will find out the present deficiency and recent developments of the TLS parameter estimation fields, and learn from the the authors’ latest achievements or new methods around the practical industrial needs. In my opinion, this book can be assimilated by advanced undergraduates and graduate (PH.D.) students, as well as statisticians, because of the new tools in data analysis, applied mathematics experts, because of the novel theories and techniques that we propose, engineers, above all for the applications in control, system identification, computer vision, and signal processing.
The Process of Psychotherapy: Causation and Chance
by Hermann Haken Wolfgang TschacherThis book describes an encompassing modeling approach to psychotherapy, created with the most recent research in the field. Therapeutic interventions are staged within a therapist-client relationship ('alliance'), and become effective by the interplay of deterministic ('causation') and stochastic ('chance') forces. The authors use a Fokker-Planck approach complemented by a structural-mathematical framework from complexity theory. Chapters present statistical tools, which can be applied to analyze the differing time series that depict therapeutic processes. Chapters include examples of how to use these tools within research. The approach adopted in the book – contemporary psychotherapy terminology combined with a systems-theoretical model and algorithms for quantitative psychotherapy research – has the potential to become the new benchmark in psychotherapy. The Process of Psychotherapy is an informative and sophisticated resource for all levels of students, from undergraduate through post-doctoral studies, in the fields of psychology, cognitive psychology, and psychotherapy.
The Process of Statistical Analysis in Psychology: Mcbride: The Process Of Statistical Analysis In Psychology (paperback) + Mcbride: The Process Of Statistical Analysis In Psychology (paperback)
by Dawn M. McBrideThis new introductory statistics text from Dawn M. McBride, best-selling author of The Process of Research in Psychology, covers the background and process of statistical analysis, along with how to use essential tools for working with data from the field. Research studies are included throughout from both the perspective of a student conducting their own research study and of someone encountering research in their daily life. McBride helps readers gain the knowledge they need to become better consumers of research and statistics used in everyday decision-making and connects the process of research design with the tools employed in statistical analysis. Instructors and students alike will appreciate the extra opportunities for practice with the accompanying Lab Manual for Statistical Analysis, also written by McBride and her frequent collaborator, J. Cooper Cutting.
The Process of Statistical Analysis in Psychology: The Process of Statistical Analysis in Psychology
by Dawn M. McBrideThis new introductory statistics text from Dawn M. McBride, best-selling author of The Process of Research in Psychology, covers the background and process of statistical analysis, along with how to use essential tools for working with data from the field. Research studies are included throughout from both the perspective of a student conducting their own research study and of someone encountering research in their daily life. McBride helps readers gain the knowledge they need to become better consumers of research and statistics used in everyday decision-making and connects the process of research design with the tools employed in statistical analysis. Instructors and students alike will appreciate the extra opportunities for practice with the accompanying Lab Manual for Statistical Analysis, also written by McBride and her frequent collaborator, J. Cooper Cutting.