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Advances in Knowledge Discovery and Management: Volume 9 (Studies in Computational Intelligence #1004)
by Rakia Jaziri Arnaud Martin Marie-Christine Rousset Lydia Boudjeloud-Assala Fabrice GuilletThis book is a collection of high scientific novel contributions addressing several of these challenges. These articles are extended versions of a selection of the best papers that were initially presented at the French-speaking conferences EGC’2019held in Metz (France, January 21-25, 2019).These extended versions have been accepted after an additional peer-review process among papers already accepted in long format at the conference. Concerning the conference, the long and short papers selection were also the result of a double blind peer review process among the hundreds of papers initially submitted to each edition of the conference (acceptance rate for long papers is about 25%.
Advances in Knowledge Discovery and Management: Volume 8 (Studies in Computational Intelligence #834)
by Bruno Pinaud Fabrice Guillet Fabien Gandon Christine LargeronThis book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC’2017 & EGC’2018. The EGC conference cycle was founded by the International French-speaking EGC society (“Extraction et Gestion des Connaissances”) in 2003, and has since become a respected fixture among the French-speaking community. In addition to the annual conference, the society organizes various other events in order to promote exchanges between researchers and companies concerned with KDM and its applications to business, administration, industry and public organizations. Addressing novel research in data science, semantic Web, clustering, and classification, the content presented here will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike.
Advances in Knowledge Discovery in Databases (Intelligent Systems Reference Library #79)
by Animesh Adhikari Jhimli AdhikariThis book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.
Advances in Longitudinal HCI Research (Human–Computer Interaction Series)
by Evangelos Karapanos Jens Gerken Jesper Kjeldskov Mikael B. SkovLongitudinal studies have traditionally been seen as too cumbersome and labor-intensive to be of much use in research on Human-Computer Interaction (HCI). However, recent trends in market, legislation, and the research questions we address, have highlighted the importance of studying prolonged use, while technology itself has made longitudinal research more accessible to researchers across different application domains. Aimed as an educational resource for graduate students and researchers in HCI, this book brings together a collection of chapters, addressing theoretical and methodological considerations, and presenting case studies of longitudinal HCI research. Among others, the authors:discuss the theoretical underpinnings of longitudinal HCI research, such as when a longitudinal study is appropriate, what research questions can be addressed and what challenges are entailed in different longitudinal research designsreflect on methodological challenges in longitudinal data collection and analysis, such as how to maintain participant adherence and data reliability when employing the Experience Sampling Method in longitudinal settings, or how to cope with data collection fatigue and data safety in applications of autoethnography and autobiographical design, which may span from months to several yearspresent a number of case studies covering different topics of longitudinal HCI research, from “slow technology”, to self-tracking, to mid-air haptic feedback, and crowdsourcing.
Advances in Low-Level Color Image Processing (Lecture Notes in Computational Vision and Biomechanics #11)
by M. Emre Celebi Bogdan SmolkaColor perception plays an important role in object recognition and scene understanding both for humans and intelligent vision systems. Recent advances in digital color imaging and computer hardware technology have led to an explosion in the use of color images in a variety of applications including medical imaging, content-based image retrieval, biometrics, watermarking, digital inpainting, remote sensing, visual quality inspection, among many others. As a result, automated processing and analysis of color images has become an active area of research, to which the large number of publications of the past two decades bears witness. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for single channel images are often not directly applicable to multichannel ones. The goal of this volume is to summarize the state-of-the-art in the early stages of the color image processing pipeline.
Advances in Machine Intelligence and Computer Science Applications: Proceedings of the International Conference ICMICSA’2022 (Lecture Notes in Networks and Systems #656)
by Noureddine Aboutabit Mohamed Lazaar Imad HafidiThis book encloses latest and advanced researches on artificial intelligence and its applications in computer science. It is an interesting book that aims to help students, researchers, industrialists, and policymakers understand, promote, and synthesize innovative solutions and think of new ideas with the application of artificial intelligence concepts. It also allows to know the existing scientific works and contributions in the literature. This book identifies original research in new directions and advances focused on multidisciplinary areas and closely related to the use of artificial intelligence in applications of computer science, communication, and technology. The present book contains selected and extended high-quality papers of the 1st international conference on Machine Intelligence and Computer Science Applications (ICMICSA’2022). It is the result of a reviewed, evaluated, and presented work in ICMICSA’2022 held on November 28–29, 2022, in Khouribga, Morocco.
Advances in Machine Learning and Computational Intelligence: Proceedings of ICMLCI 2019 (Algorithms for Intelligent Systems)
by Srikanta Patnaik Xin-She Yang Ishwar K. SethiThis book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas.
Advances in Machine Learning and Data Analysis (Lecture Notes in Electrical Engineering #48)
by Mahyar AmouzegarA large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, California, USA, October 22-24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). This volume contains sixteen revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Advances in Machine Learning and Data Analysis offers the state of the art of tremendous advances in machine learning and data analysis and also serves as an excellent reference text for researchers and graduate students, working on machine learning and data analysis.
Advances in Machine Learning and Data Science: Recent Achievements And Research Directives (Advances In Intelligent Systems And Computing #705)
by Venkatanareshbabu Kuppili Damodar Reddy Pawan LingrasPresents studies involving innovative combination of machine learning and data science.<P><P> Presents latest ideas and techniques in the field of data mining.<P> Serves as a good reference material for future work.<P> The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions.<P> These days we find many computer programs that exhibit various useful learning methods and commercial applications. Goal of machine learning is to develop computer programs that can learn from experience. Machine learning involves knowledge from various disciplines like, statistics, information theory, artificial intelligence, computational complexity, cognitive science and biology. For problems like handwriting recognition, algorithms that are based on machine learning out perform all other approaches. Both machine learning and data science are interrelated. Data science is an umbrella term to be used for techniques that clean data and extract useful information from data. In field of data science, machine learning algorithms are used frequently to identify valuable knowledge from commercial databases containing records of different industries, financial transactions, medical records, etc.<P> The main objective of this book is to provide an overview on latest advancements in the field of machine learning and data science, with solutions to problems in field of image, video, data and graph processing, pattern recognition, data structuring, data clustering, pattern mining, association rule based approaches, feature extraction techniques, neural networks, bio inspired learning and various machine learning algorithms.
Advances in Machine Learning and Signal Processing: Proceedings of MALSIP 2015 (Lecture Notes in Electrical Engineering #387)
by Ping Jack Soh Wai Lok Woo Hamzah Asyrani Sulaiman Mohd Azlishah Othman Mohd Shakir SaatThisbook presents important research findings and recent innovations in the fieldof machine learning and signal processing. A wide range of topics relating to machinelearning and signal processing techniques and their applications are addressed inorder to provide both researchers and practitioners with a valuable resourcedocumenting the latest advances and trends. The book comprises a carefulselection of the papers submitted to the 2015 International Conference on MachineLearning and Signal Processing (MALSIP 2015), which was held on 15-17 December2015 in Ho Chi Minh City, Vietnam with the aim of offering researchers,academicians, and practitioners an ideal opportunity to disseminate theirfindings and achievements. All of the included contributions were chosen byexpert peer reviewers from across the world on the basis of their interest tothe community. In addition to presenting the latest in design, development, andresearch, the book provides access to numerous new algorithms for machinelearning and signal processing for engineering problems.
Advances in Machine Learning/Deep Learning-based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis – Vol. 2 (Learning and Analytics in Intelligent Systems #23)
by George A. Tsihrintzis Maria Virvou Lakhmi C. JainAs the 4th Industrial Revolution is restructuring human societal organization into, so-called, “Society 5.0”, the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction. This research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Machine Learning/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.
Advances in Machine Learning for Big Data Analysis (Intelligent Systems Reference Library #218)
by Satchidananda Dehuri Yen-Wei ChenThis book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems. In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.
Advances in Management, Business and Technological Systems: Road Towards Sustainable Development (Lecture Notes in Networks and Systems #582)
by Irina SamoylenkoEconomic development, social sustainability, and environmental protection play a major role in terms of efforts for innovation, digitalization, business, and global development. Today, nations all over the world attempt to accomplish the United Nations Sustainable Development Goals and to ensure sustainable patterns. Combining empirical and theoretical information, this book demonstrates advanced initiatives and concrete examples from universities, research institutes, and companies, regarding cross-cutting issues in sustainable development of a wide range of fields. The major focus in the book is the promotion of quality of life, by means of a more sustainable food production, and improved food security. Additionally, the importance of digital technologies, business policy, social aspects, and corporate governance in ensuring sustainable regional development is studied. This book is a truly interdisciplinary publication, useful to scholars, social movements, practitioners, and members of governmental agencies and private companies.
Advances in Manufacturing (Lecture Notes in Mechanical Engineering)
by Adam Hamrol Olaf Ciszak Stanisław Legutko Mieczysław JurczykThis book covers a variety of topics in material, mechanical, and management engineering, especially in the area of machine design, product assembly, measurement systems, process planning and quality control. It describes cutting-edge methods and applications, together with exemplary case studies. The content is based on papers presented at the 5th International Scientific-Technical Conference (MANUFACTURING 2017) held in Poznan, Poland on 24-26 October 2017. The book brings together engineering and economic topics, is intended as an extensive, timely and practice-oriented reference guide for researchers and practitioners, and is expected to foster better communication and closer cooperation between universities and their business and industry partners.
Advances in Manufacturing II: Volume 2 - Production Engineering and Management (Lecture Notes in Mechanical Engineering)
by Adam Hamrol Agnieszka Kujawińska Manuel Francisco BarrazaThis book covers a variety of topics in manufacturing, with a special emphasis on product design, production planning, and implementation of both resources and production processes. The content is based on papers presented at the 6th International Scientific Technical Conference MANUFACTURING 2019, held in Poznan, Poland on May 19-22, 2019. The main focus is on showing best practices to use tools currently available in the enterprises to effectively improving industrial processes. Knowledge and production flow management, decision-making systems, production leveling, enterprise efficiency, as well as maintenance, modeling and simulation of production processes are just some of the topics discussed in this book, which offers a timely and practice-oriented reference guide for applied researchers, product engineers and product managers.
Advances in Manufacturing II: Volume 1 - Solutions for Industry 4.0 (Lecture Notes in Mechanical Engineering)
by Justyna Trojanowska Olaf Ciszak José Mendes Machado Ivan PavlenkoThis book covers a variety of topics related to the Industry 4.0 concept, with a special emphasis on the efficiency of production processes and innovative solutions for smart factories. It describes tools supporting this concept in both the mechanical engineering and biomedical engineering field. The content is based on papers presented at the 6th International Scientific-Technical Conference MANUFACTURING 2019, held on 19-22 May 2019, in Poznan, Poland. Virtual reality, simulation of manufacturing systems, additive manufacturing, big data analysis, automation and application of artificial intelligence, as well as economic and social issues related to the integration of those technologies are just some of the topics discussed here. All in all, the book offers a timely and practice-oriented reference guide for researchers and practitioners, and is expected to foster better communication and closer cooperation between universities and their business and industrial partners.
Advances in Manufacturing III: Volume 1 - Mechanical Engineering: Research and Technology Innovations, Industry 4.0 (Lecture Notes in Mechanical Engineering)
by Bartosz Gapiński Olaf Ciszak Vitalii IvanovThe book covers various topics in mechanical engineering, with a special attention to machine design, product assembly, technological aspects of production, mechatronics and production maintenance. Based on peer-reviewed papers presented at the 7th International Scientific-Technical Conference MANUFACTURING 2022, held in Poznan, Poland, on May 16-19, 2022, the different chapters describe cutting-edge research and methods fostering automation and optimization of industrial processes and machining, with an emphasis on energy-efficient and ecological solutions. All in all, this book offers a timely guide for researchers and professionals in mechanical engineering and manufacturing, yet it is also intended to foster communication and cooperation between universities and industrial partners
Advances in Manufacturing III: Volume 2 - Production Engineering: Research and Technology Innovations, Industry 4.0 (Lecture Notes in Mechanical Engineering)
by Justyna Trojanowska Agnieszka Kujawińska Jose Machado Ivan PavlenkoThis book reports on cutting-edge research and technology aimed at increasing the efficiency of production processes and to foster the implementation of Industry 4.0 solutions in manufacturing. Gathering peer-review contributions to the 7th International Scientific Technical Conference MANUFACTURING 2022, held in Poznan, Poland on May 16-19, 2022, it describes advanced engineering methods to optimize different stages and aspects of the production process, including product design, production scheduling, equipment maintenance and safety. It discusses the applications of augmented/virtual and mixed reality within the manufacturing industry and for education and training purposes, and highlights cutting-edge solutions for green and sustainable production. Offering a timely, practice-oriented reference guide for both researchers and practitioners in manufacturing, this book is also intended to contribute bridging the gap between university and industry, fostering a closer communication and cooperation between them.
Advances in Manufacturing IV: Volume 1 - Mechanical Engineering: Digitalization, Sustainability and Industry Applications (Lecture Notes in Mechanical Engineering)
by Bartosz Gapiński Olaf Ciszak Vitalii Ivanov Jose Mendes MachadoThe book covers timely topics in mechanical engineering, with a special attention to advances in machine design, product assembly, technological aspects of production, mechatronics and production maintenance. Gathering peer-review contributions to the 8th International Scientific-Technical Conference MANUFACTURING 2024, held on May 14-16, 2024, in Poznan, Poland, it reports on cutting-edge research and methods fostering design processes, optimization of industrial processes, such as welding and molding, and machining, with an emphasis on sustainable solutions. All in all, this book offers a timely guide for researchers and professionals in mechanical engineering and manufacturing, yet it is also intended to foster communication and cooperation between universities and industrial partners.
Advances in Manufacturing IV: Volume 2 - Production Engineering: Digitalization, Sustainability and Industry Applications (Lecture Notes in Mechanical Engineering)
by Justyna Trojanowska Agnieszka Kujawińska Ivan Pavlenko Jozef HusarThis book describes cutting-edge research and technologies aimed at increasing the efficiency of production processes and supporting the implementation of Industry 4.0 and Industry 5.0 solutions in production. Gathering peer-review contributions to the 8th International Scientific-Technical Conference MANUFACTURING 2024, held on May 14–16, 2024, in Poznan, Poland, it reports on research on and applications of artificial intelligence and digital technologies to improve the production process. It also presents augmented/virtual and mixed reality tools that can be used or have been tested in the manufacturing industry and for education and training purposes. Last but not least, it highlights cutting-edge solutions for green and sustainable production. Offering a timely, practice-oriented reference guide for both researchers and practitioners in manufacturing, this book is also intended to bridge the gap between university and industry, fostering a closer communication and cooperation between them
Advances in Manufacturing Processes: Select Proceedings of RAM 2020 (Lecture Notes in Mechanical Engineering)
by Harshit K. Dave Dumitru NedelcuThis book presents the select proceedings of the International Conference on Recent Advances in Manufacturing (RAM 2020). This volume, in particular, provides insights into current research trends and opportunities within the manufacturing processes domain such as conventional and unconventional manufacturing, micro and nano manufacturing, chemical and biochemical manufacturing, and computer-integrated manufacturing (CIM). The topics covered include emerging areas of the fourth industrial revolution such as additive manufacturing, sustainable and energy-efficient manufacturing, smart manufacturing, artificial intelligence in manufacturing application, and computer-integrated manufacturing. This book will be useful for to researchers and practitioners alike.
Advances in Manufacturing, Production Management and Process Control: Proceedings of the AHFE 2019 International Conference on Human Aspects of Advanced Manufacturing, and the AHFE International Conference on Advanced Production Management and Process Control, July 24-28, 2019, Washington D.C., USA (Advances in Intelligent Systems and Computing #971)
by Waldemar Karwowski Stefan Trzcielinski Beata MrugalskaThis book discusses the latest advances in manufacturing and process control, with a special emphasis on digital manufacturing and intelligent technologies for manufacturing and industrial processes control. The human aspect of the developed technologies and products, their interaction with the users, as well as sustainability issues, are covered in detail. Development of new products using rapid prototyping systems, remote fabrication, and other advanced techniques, is described in detail, highlighting the state-of-the-art and current challenges. Based on both the AHFE 2019 International Conference on Human Aspects of Advanced Manufacturing, and the AHFE 2019 International Conference on Advanced Production Management and Process Control, held on July 24-28, 2019, in Washington D.C., USA, this book also highlight important strategies for managing enterprise of the future.
Advances in Manufacturing, Production Management and Process Control: Joint proceedings of the AHFE 2018 International Conference on Advanced Production Management and Process Control, the AHFE International Conference on Human Aspects of Advanced Manufacturing, and the AHFE International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, July 21-25, 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA (Advances in Intelligent Systems and Computing #793)
by Emilio Rossi Massimo Di Nicolantonio Beata Mrugalska Stefan Trzcielinski Waldemar KarwowskiThis book discusses the latest advances in manufacturing and process control, with a special emphasis on digital manufacturing and intelligent technologies for manufacturing and industrial processes control. The human aspect of the developed technologies and products, their interaction with the users, as well as sustainability issues, are covered in detail. Development of new products using 3D printers, rapid prototyping systems, remote fabrication, and other advanced techniques, is described in detail, highlighting the state-of-the-art and current challenges. Other key topics include digital modeling systems and additive manufacturing, together with their applications in a number of fields, e.g in bioengineering/biomedicine, in the aerospace, maritime and military fields or for archeological and historical purposes, such as preserving structures, but not limited to this. The book is based on three AHFE 2018 affiliated conferences i.e. the AHFE 2018 International Conference on Advanced Production Management and Process Control, the AHFE 2018 International Conference on Human Aspects of Advanced Manufacturing, and the AHFE 2018 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, which were held on July 21-25, 2018, in Orlando, Florida, USA.
Advances in Manufacturing Systems: Select Proceedings of RAM 2020 (Lecture Notes in Mechanical Engineering)
by Shailendra Kumar K. P. RajurkarThis book presents the select proceedings of the International Conference on Recent Advances in Manufacturing (RAM 2020). The volume focuses on latest research trends in manufacturing systems such as CAE, CAD/CAM, robotics and automation, reverse engineering, resource planning and simulation, computer-integrated manufacturing (CIM) systems, product life-cycle management, collaborative engineering, process monitoring control and traceability technologies, supply chain management, environment risk analysis, and manufacturing systems of renewable energy devices. The topics covered also include emerging fields of the fourth industrial revolution such cyber physical systems and cyber security, and wireless sensors and sensor networks for manufacturing. This book will be of interest to researchers and practitioners interested in latest developments in the field of manufacturing systems.
Advances in Mathematical and Computational Modeling of Engineering Systems (Smart Technologies for Engineers and Scientists)
by Mukesh Kumar Awasthi Maitri Verma Mangey RamThe text covers a wide range of topics such as mathematical modeling of crop pest control management, water resources management, impact of anthropogenic activities on atmospheric carbon dioxide concentrations, impact of climate changes on melting of glaciers and polar bear populations, dynamics of slow–fast predator-prey system and spread and control of HIV epidemic. It emphasizes the use of mathematical modeling to investigate the fluid flow problems including the breaking of viscoelastic jet, instability arising in nanofiber, flow in an annulus channel, and thermal instability in nano-fluids in a comprehensive manner. This book will be a readily accessible source of information for the students, researchers and policymakers interested in the application of mathematical and computational modeling techniques to investigate various biological and engineering phenomena. Features Focuses on the current modeling and computational trends to investigate various ecological, epidemiological, and engineering systems. Presents the mathematical modeling of a wide range of ecological and environmental issues including crop pest control management, water resources management, the effect of anthropogenic activities on atmospheric carbon dioxide concentrations, and impact of climate changes on melting of glaciers and polar bear population. Covers a wide range of topics including the breaking of viscoelastic jet, instability arising in nanofiber, flow in an annulus channel, and thermal instability in nano-fluids. Examines evolutionary models i.e., models of time-varying processes. Highlights the recent developments in the analytical methods to investigate the nonlinear dynamical systems. Showcases diversified applications of computational techniques to solve practical biological and engineering problems. The book focuses on the recent research developments in the mathematical modeling and scientific computing of biological and engineering systems. It will serve as an ideal reference text for senior undergraduate, graduate students, and researchers in diverse fields including ecological engineering, environmental engineering, computer engineering, mechanical engineering, mathematics, and fluid dynamics.