Change Point Detection Using Expectation Maximization Approach

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Application of Optimization in Production, Logistics, Inventory, Supply Chain Management and Block Chain

Author : Biswajit Sarkar
Publisher : MDPI
ISBN 13 : 303928522X
Total Pages : 618 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Application of Optimization in Production, Logistics, Inventory, Supply Chain Management and Block Chain by : Biswajit Sarkar

Download or read book Application of Optimization in Production, Logistics, Inventory, Supply Chain Management and Block Chain written by Biswajit Sarkar and published by MDPI. This book was released on 2020-04-23 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: The evolution of industrial development since the 18th century is now experiencing the fourth industrial revolution. The effect of the development has propagated into almost every sector of the industry. From inventory to the circular economy, the effectiveness of technology has been fruitful for industry. The recent trends in research, with new ideas and methodologies, are included in this book. Several new ideas and business strategies are developed in the area of the supply chain management, logistics, optimization, and forecasting for the improvement of the economy of the society and the environment. The proposed technologies and ideas are either novel or help modify several other new ideas. Different real life problems with different dimensions are discussed in the book so that readers may connect with the recent issues in society and industry. The collection of the articles provides a glimpse into the new research trends in technology, business, and the environment.

Theory and Use of the EM Algorithm

Author : Maya R. Gupta
Publisher : Now Publishers Inc
ISBN 13 : 1601984308
Total Pages : 87 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Theory and Use of the EM Algorithm by : Maya R. Gupta

Download or read book Theory and Use of the EM Algorithm written by Maya R. Gupta and published by Now Publishers Inc. This book was released on 2011 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces the expectation-maximization (EM) algorithm and provides an intuitive and mathematically rigorous understanding of this method. Theory and Use of the EM Algorithm is designed to be useful to both the EM novice and the experienced EM user looking to better understand the method and its use.

Numerical Bayesian Methods Applied to Signal Processing

Author : Joseph J.K. O Ruanaidh
Publisher : Springer Science & Business Media
ISBN 13 : 1461207177
Total Pages : 256 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Numerical Bayesian Methods Applied to Signal Processing by : Joseph J.K. O Ruanaidh

Download or read book Numerical Bayesian Methods Applied to Signal Processing written by Joseph J.K. O Ruanaidh and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with the processing of signals that have been sam pled and digitized. The fundamental theory behind Digital Signal Process ing has been in existence for decades and has extensive applications to the fields of speech and data communications, biomedical engineering, acous tics, sonar, radar, seismology, oil exploration, instrumentation and audio signal processing to name but a few [87]. The term "Digital Signal Processing", in its broadest sense, could apply to any operation carried out on a finite set of measurements for whatever purpose. A book on signal processing would usually contain detailed de scriptions of the standard mathematical machinery often used to describe signals. It would also motivate an approach to real world problems based on concepts and results developed in linear systems theory, that make use of some rather interesting properties of the time and frequency domain representations of signals. While this book assumes some familiarity with traditional methods the emphasis is altogether quite different. The aim is to describe general methods for carrying out optimal signal processing.

Outlier Analysis

Author : Charu C. Aggarwal
Publisher : Springer
ISBN 13 : 3319475789
Total Pages : 481 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Outlier Analysis by : Charu C. Aggarwal

Download or read book Outlier Analysis written by Charu C. Aggarwal and published by Springer. This book was released on 2016-12-10 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories: Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data. Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner. The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching.

Trends and Applications in Knowledge Discovery and Data Mining

Author : Leong Hou U.
Publisher : Springer Nature
ISBN 13 : 3030261425
Total Pages : 373 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Trends and Applications in Knowledge Discovery and Data Mining by : Leong Hou U.

Download or read book Trends and Applications in Knowledge Discovery and Data Mining written by Leong Hou U. and published by Springer Nature. This book was released on 2019-09-11 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, in Macau, China, in April 2019. The 31 revised papers presented were carefully reviewed and selected from a total of 52 submissions. They stem from the following workshops: · PAISI 2019: 14th Pacific Asia Workshop on Intelligence and Security Informatics · WeL 2019: PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future · LDRC 2019: PAKDD 2019 Workshop on Learning Data Representation for Clustering · BDM 2019: 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining · DLKT 2019: 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer

Information Technologies and Mathematical Modelling - Queueing Theory and Applications

Author : Alexander Dudin
Publisher : Springer
ISBN 13 : 3319258613
Total Pages : 443 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Information Technologies and Mathematical Modelling - Queueing Theory and Applications by : Alexander Dudin

Download or read book Information Technologies and Mathematical Modelling - Queueing Theory and Applications written by Alexander Dudin and published by Springer. This book was released on 2015-12-08 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings fo the 14th International Scientific Conference on Information Technologies and Mathematical Modeling, named after A. F. Terpugov, ITMM 2015, held in Anzhero-Sudzhensk, Russia, in November 2015. The 35 full papers included in this volume were carefully reviewed and selected from 89 submissions. They are devoted to new results in the queueing theory and its applications, addressing specialists in probability theory, random processes, mathematical modeling as well as engineers dealing with logical and technical design and operational management of telecommunication and computer networks.

Adaptive Filtering and Change Detection

Author : Fredrik Gustafsson
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 520 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Adaptive Filtering and Change Detection by : Fredrik Gustafsson

Download or read book Adaptive Filtering and Change Detection written by Fredrik Gustafsson and published by John Wiley & Sons. This book was released on 2000-10-03 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive filtering is a branch of digital signal processing which enables the selective enhancement of desired elements of a signal and the reduction of undesired elements. Change detection is another kind of adaptive filtering for non-stationary signals, and is the basic tool in fault detection and diagnosis. This text takes the unique approach that change detection is a natural extension of adaptive filtering, and the broad coverage encompasses both the mathematical tools needed for adaptive filtering and change detection and the applications of the technology. Real engineering applications covered include aircraft, automotive, communication systems, signal processing and automatic control problems. The unique integration of both theory and practical applications makes this book a valuable resource combining information otherwise only available in separate sources Comprehensive coverage includes many examples and case studies to illustrate the ideas and show what can be achieved Uniquely integrates applications to airborne, automotive and communications systems with the essential mathematical tools Accompanying Matlab toolbox available on the web illustrating the main ideas and enabling the reader to do simulations using all the figures and numerical examples featured This text would prove to be an essential reference for postgraduates and researchers studying digital signal processing as well as practising digital signal processing engineers.

Conformal Prediction for Reliable Machine Learning

Author : Vineeth Balasubramanian
Publisher : Newnes
ISBN 13 : 0124017150
Total Pages : 323 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Conformal Prediction for Reliable Machine Learning by : Vineeth Balasubramanian

Download or read book Conformal Prediction for Reliable Machine Learning written by Vineeth Balasubramanian and published by Newnes. This book was released on 2014-04-23 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and Applications captures the basic theory of the framework, demonstrates how to apply it to real-world problems, and presents several adaptations, including active learning, change detection, and anomaly detection. As practitioners and researchers around the world apply and adapt the framework, this edited volume brings together these bodies of work, providing a springboard for further research as well as a handbook for application in real-world problems. - Understand the theoretical foundations of this important framework that can provide a reliable measure of confidence with predictions in machine learning - Be able to apply this framework to real-world problems in different machine learning settings, including classification, regression, and clustering - Learn effective ways of adapting the framework to newer problem settings, such as active learning, model selection, or change detection

Advances in Fuzzy Clustering and its Applications

Author : Jose Valente de Oliveira
Publisher : John Wiley & Sons
ISBN 13 : 9780470061183
Total Pages : 454 pages
Book Rating : 4.0/5 (611 download)

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Book Synopsis Advances in Fuzzy Clustering and its Applications by : Jose Valente de Oliveira

Download or read book Advances in Fuzzy Clustering and its Applications written by Jose Valente de Oliveira and published by John Wiley & Sons. This book was released on 2007-06-13 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, coherent, and in depth presentation of the state of the art in fuzzy clustering. Fuzzy clustering is now a mature and vibrant area of research with highly innovative advanced applications. Encapsulating this through presenting a careful selection of research contributions, this book addresses timely and relevant concepts and methods, whilst identifying major challenges and recent developments in the area. Split into five clear sections, Fundamentals, Visualization, Algorithms and Computational Aspects, Real-Time and Dynamic Clustering, and Applications and Case Studies, the book covers a wealth of novel, original and fully updated material, and in particular offers: a focus on the algorithmic and computational augmentations of fuzzy clustering and its effectiveness in handling high dimensional problems, distributed problem solving and uncertainty management. presentations of the important and relevant phases of cluster design, including the role of information granules, fuzzy sets in the realization of human-centricity facet of data analysis, as well as system modelling demonstrations of how the results facilitate further detailed development of models, and enhance interpretation aspects a carefully organized illustrative series of applications and case studies in which fuzzy clustering plays a pivotal role This book will be of key interest to engineers associated with fuzzy control, bioinformatics, data mining, image processing, and pattern recognition, while computer engineers, students and researchers, in most engineering disciplines, will find this an invaluable resource and research tool.

Data Science and Big Data Analytics in Smart Environments

Author : Marta Chinnici
Publisher : CRC Press
ISBN 13 : 1000386015
Total Pages : 305 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Data Science and Big Data Analytics in Smart Environments by : Marta Chinnici

Download or read book Data Science and Big Data Analytics in Smart Environments written by Marta Chinnici and published by CRC Press. This book was released on 2021-07-28 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house environments, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services. Data grows rapidly, since applications produce continuously increasing volumes of both unstructured and structured data. Large-scale interconnected systems aim to aggregate and efficiently exploit the power of widely distributed resources. In this context, major solutions for scalability, mobility, reliability, fault tolerance and security are required to achieve high performance and to create a smart environment. The impact on data processing, transfer and storage is the need to re-evaluate the approaches and solutions to better answer the user needs. A variety of solutions for specific applications and platforms exist so a thorough and systematic analysis of existing solutions for data science, data analytics, methods and algorithms used in Big Data processing and storage environments is significant in designing and implementing a smart environment. Fundamental issues pertaining to smart environments (smart cities, ambient assisted leaving, smart houses, green houses, cyber physical systems, etc.) are reviewed. Most of the current efforts still do not adequately address the heterogeneity of different distributed systems, the interoperability between them, and the systems resilience. This book will primarily encompass practical approaches that promote research in all aspects of data processing, data analytics, data processing in different type of systems: Cluster Computing, Grid Computing, Peer-to-Peer, Cloud/Edge/Fog Computing, all involving elements of heterogeneity, having a large variety of tools and software to manage them. The main role of resource management techniques in this domain is to create the suitable frameworks for development of applications and deployment in smart environments, with respect to high performance. The book focuses on topics covering algorithms, architectures, management models, high performance computing techniques and large-scale distributed systems.

Cognitive Systems and Signal Processing in Image Processing

Author : Yu-Dong Zhang
Publisher : Academic Press
ISBN 13 : 0323860095
Total Pages : 398 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Cognitive Systems and Signal Processing in Image Processing by : Yu-Dong Zhang

Download or read book Cognitive Systems and Signal Processing in Image Processing written by Yu-Dong Zhang and published by Academic Press. This book was released on 2021-11-28 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Systems and Signal Processing in Image Processing presents different frameworks and applications of cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing methods in the context of Big Data and Cognitive AI. It presents the amalgamation of cognitive systems and signal processing in the context of image processing approaches in solving various real-word application domains. This book reports the latest progress in cognitive big data and sustainable computing. Various real-time case studies and implemented works are discussed for better understanding and more clarity to readers. The combined model of cognitive data intelligence with learning methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues for computer vision in real-time. - Presents cognitive signal processing methodologies that are related to challenging image processing application domains - Provides the state-of-the-art in cognitive signal processing approaches in the area of big-data image processing - Focuses on other technical aspects and alternatives to traditional tools, algorithms and methodologies - Discusses various real-time case studies and implemented works

Single-Molecule Biophysics

Author : Tamiki Komatsuzaki
Publisher : John Wiley & Sons
ISBN 13 : 111813138X
Total Pages : 403 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Single-Molecule Biophysics by : Tamiki Komatsuzaki

Download or read book Single-Molecule Biophysics written by Tamiki Komatsuzaki and published by John Wiley & Sons. This book was released on 2011-11-16 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the experimental and theoretical developments in optical single-molecule spectroscopy that are changing the ways we think about molecules and atoms The Advances in Chemical Physics series provides the chemical physics field with a forum for critical, authoritative evaluations of advances in every area of the discipline. This latest volume explores the advent of optical single-molecule spectroscopy, and how atomic force microscopy has empowered novel experiments on individual biomolecules, opening up new frontiers in molecular and cell biology and leading to new theoretical approaches and insights. Organized into two parts—one experimental, the other theoretical—this volume explores advances across the field of single-molecule biophysics, presenting new perspectives on the theoretical properties of atoms and molecules. Single-molecule experiments have provided fresh perspectives on questions such as how proteins fold to specific conformations from highly heterogeneous structures, how signal transductions take place on the molecular level, and how proteins behave in membranes and living cells.This volume is designed to further contribute to the rapid development of single-molecule biophysics research. Filled with cutting-edge research reported in a cohesive manner not found elsewhere in the literature, each volume of the Advances in Chemical Physics series serves as the perfect supplement to any advanced graduate class devoted to the study of chemical physics.

Pathobiology of Human Disease

Author :
Publisher : Elsevier
ISBN 13 : 0123864577
Total Pages : 4376 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Pathobiology of Human Disease by :

Download or read book Pathobiology of Human Disease written by and published by Elsevier. This book was released on 2014-08-01 with total page 4376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pathobiology of Human Disease bridges traditional morphologic and clinical pathology, molecular pathology, and the underlying basic science fields of cell biology, genetics, and molecular biology, which have opened up a new era of research in pathology and underlie the molecular basis of human disease. The work spans more than 48 different biological and medical fields, in five basic sections: Human - Organ Systems - Molecular Pathology/Basic Mechanisms of Diseases - Animal Models/Other Model Systems - Experimental Pathology - Clinical Pathology Each article provides a comprehensive overview of the selected topic to inform a broad spectrum of readers from research professionals to advanced undergraduate students. - Reviews quantitative advances in the imaging and molecular analysis of human tissue, new microarray technologies for analysis of genetic and chromosomal alterations in normal and diseased cells and tissues, and new transgenic models of human disease using conditional, tissue-specific gene targeting - Articles link through to relevant virtual microscopy slides, illustrating side-by-side presentation of "Normal" and "Disease" anatomy and histology images - Fully-annotated with many supplementary full color images, graphs, tables, and video files linked to data sets and to live references, enabling researchers to delve deeper and visualize solutions

Parametric Statistical Change Point Analysis

Author : Jie Chen
Publisher : Springer Science & Business Media
ISBN 13 : 1475731310
Total Pages : 190 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Parametric Statistical Change Point Analysis by : Jie Chen

Download or read book Parametric Statistical Change Point Analysis written by Jie Chen and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently there has been a keen interest in the statistical analysis of change point detec tion and estimation. Mainly, it is because change point problems can be encountered in many disciplines such as economics, finance, medicine, psychology, geology, litera ture, etc. , and even in our daily lives. From the statistical point of view, a change point is a place or time point such that the observations follow one distribution up to that point and follow another distribution after that point. Multiple change points problem can also be defined similarly. So the change point(s) problem is two fold: one is to de cide if there is any change (often viewed as a hypothesis testing problem), another is to locate the change point when there is a change present (often viewed as an estimation problem). The earliest change point study can be traced back to the 1950s. During the fol lowing period of some forty years, numerous articles have been published in various journals and proceedings. Many of them cover the topic of single change point in the means of a sequence of independently normally distributed random variables. Another popularly covered topic is a change point in regression models such as linear regres sion and autoregression. The methods used are mainly likelihood ratio, nonparametric, and Bayesian. Few authors also considered the change point problem in other model settings such as the gamma and exponential.

Advances in Condition Monitoring and Structural Health Monitoring

Author : Len Gelman
Publisher : Springer Nature
ISBN 13 : 9811591997
Total Pages : 759 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Condition Monitoring and Structural Health Monitoring by : Len Gelman

Download or read book Advances in Condition Monitoring and Structural Health Monitoring written by Len Gelman and published by Springer Nature. This book was released on 2021-02-02 with total page 759 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises the selected contributions from the 2nd World Congress on Condition Monitoring (WCCM 2019), held in Singapore in December 2019. The contents focus on digitalisation for condition monitoring with the emergence of the fourth industrial revolution (Industry 4.0) and the Industrial Internet-of-Things (IIoT). The book covers latest research findings in the areas of condition monitoring, structural health monitoring, and non-destructive testing which are relevant for many sectors including aerospace, automotive, civil, oil and gas, marine, and manufacturing industries. Different monitoring systems and non-destructive testing methods are discussed to avoid failures, increase lifespans, and reduce maintenance costs of equipment and machinery. The broad scope of the contents will make this book interesting for academics and professionals working in the areas of non-destructive evaluation and condition monitoring.

Nonlinear Dynamical Systems

Author : Irwin W. Sandberg
Publisher : John Wiley & Sons
ISBN 13 : 9780471349112
Total Pages : 316 pages
Book Rating : 4.3/5 (491 download)

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Book Synopsis Nonlinear Dynamical Systems by : Irwin W. Sandberg

Download or read book Nonlinear Dynamical Systems written by Irwin W. Sandberg and published by John Wiley & Sons. This book was released on 2001-02-21 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sechs erfahrene Autoren beschreiben in diesem Band ein Spezialgebiet der neuronalen Netze mit Anwendungen in der Signalsteuerung, Signalverarbeitung und Zeitreihenanalyse. Ein zeitgemäßer Beitrag zur Behandlung nichtlinear-dynamischer Systeme!

Mathematical and Computational Approaches in Advancing Modern Science and Engineering

Author : Jacques Bélair
Publisher : Springer
ISBN 13 : 3319303791
Total Pages : 777 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Mathematical and Computational Approaches in Advancing Modern Science and Engineering by : Jacques Bélair

Download or read book Mathematical and Computational Approaches in Advancing Modern Science and Engineering written by Jacques Bélair and published by Springer. This book was released on 2016-08-10 with total page 777 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on five main groups of interdisciplinary problems, this book covers a wide range of topics in mathematical modeling, computational science and applied mathematics. It presents a wealth of new results in the development of modeling theories and methods, advancing diverse areas of applications and promoting interdisciplinary interactions between mathematicians, scientists, engineers and representatives from other disciplines. The book offers a valuable source of methods, ideas, and tools developed for a variety of disciplines, including the natural and social sciences, medicine, engineering, and technology. Original results are presented on both the fundamental and applied level, accompanied by an ample number of real-world problems and examples emphasizing the interdisciplinary nature and universality of mathematical modeling, and providing an excellent outline of today’s challenges. Mathematical modeling, with applied and computational methods and tools, plays a fundamental role in modern science and engineering. It provides a primary and ubiquitous tool in the context making new discoveries, as well as in the development of new theories and techniques for solving key problems arising in scientific and engineering applications. The contributions, which are the product of two highly successful meetings held jointly in Waterloo, Ontario, Canada on the main campus of Wilfrid Laurier University in June 2015, i.e. the International Conference on Applied Mathematics, Modeling and Computational Science, and the Annual Meeting of the Canadian Applied and Industrial Mathematics (CAIMS), make the book a valuable resource for any reader interested in a broader overview of the methods, ideas and tools involved in mathematical and computational approaches developed for other disciplines, including the natural and social sciences, engineering and technology.