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Advances in Computational Intelligence: 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Enseneda, Mexico, October 23-28, 2017, Proceedings, Part II (Lecture Notes in Computer Science #10633)

by Sabino Miranda-Jiménez Félix Castro Miguel González-Mendoza

The two-volume set LNAI 10632 and 10633 constitutes the proceedings of the 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, held in Enseneda, Mexico, in October 2017. The total of 60 papers presented in these two volumes was carefully reviewed and selected from 203 submissions. The contributions were organized in the following topical sections: Part I: neural networks; evolutionary algorithms and optimization; hybrid intelligent systems and fuzzy logic; and machine learning and data mining. Part II: natural language processing and social networks; intelligent tutoring systems and educational applications; and image processing and pattern recognition.

Advances in Computational Intelligence: 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I (Lecture Notes in Computer Science #14134)

by Ignacio Rojas Gonzalo Joya Andreu Catala

This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19–21, 2023.The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions.The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis. The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and material characterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.

Advances in Computational Intelligence: 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II (Lecture Notes in Computer Science #14135)

by Ignacio Rojas Gonzalo Joya Andreu Catala

This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19–21, 2023. The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions. The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis. The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and material characterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.

Advances in Computational Intelligence: 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22–27, 2018, Proceedings, Part II (Lecture Notes in Computer Science #11289)

by Hiram Eredín Ponce Espinosa Ildar Batyrshin María de Lourdes Martínez-Villaseñor

The two-volume set LNAI 11288 and 11289 constitutes the proceedings of the 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, held in Guadalajara, Mexico, in October 2018. The total of 62 papers presented in these two volumes was carefully reviewed and selected from 149 submissions. The contributions are organized in topical as follows: Part I: evolutionary and nature-inspired intelligence; machine learning; fuzzy logic and uncertainty management. Part II: knowledge representation, reasoning, and optimization; natural language processing; and robotics and computer vision.

Advances in Computational Intelligence: 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Mexico City, Mexico, October 12–17, 2020, Proceedings, Part II (Lecture Notes in Computer Science #12469)

by Oscar Herrera-Alcántara Lourdes Martínez-Villaseñor Hiram Ponce Félix A. Castro-Espinoza

The two-volume set LNAI 12468 and 12469 constitutes the proceedings of the 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, held in Mexico City, Mexico, in October 2020. The total of 77 papers presented in these two volumes was carefully reviewed and selected from 186 submissions. The contributions are organized in topical as follows: Part I: machine and deep learning, evolutionary and metaheuristic algorithms, and soft computing. Part II: natural language processing, image processing and pattern recognition, and intelligent applications and robotics.

Advances in Computational Intelligence: 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25–30, 2021, Proceedings, Part I (Lecture Notes in Computer Science #13067)

by Grigori Sidorov Alexander Gelbukh Ildar Batyrshin

The two-volume set LNAI 13067 and 13068 constitutes the proceedings of the 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, held in Mexico City, Mexico, in October 2021.The total of 58 papers presented in these two volumes was carefully reviewed and selected from 129 submissions. The first volume, Advances in Computational Intelligence, contains 30 papers structured into three sections: – Machine and Deep Learning – Image Processing and Pattern Recognition – Evolutionary and Metaheuristic Algorithms The second volume, Advances in Soft Computing, contains 28 papers structured into two sections: – Natural Language Processing – Intelligent Applications and Robotics

Advances in Computational Intelligence: 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24–29, 2022, Proceedings, Part I (Lecture Notes in Computer Science #13612)

by Obdulia Pichardo Lagunas Juan Martínez-Miranda Bella Martínez Seis

The two-volume set LNAI 13612 and 13613 constitutes the proceedings of the 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, held in Monterrey, Mexico, in October 2022.The total of 63 papers presented in these two volumes was carefully reviewed and selected from 137 submissions.The first volume, Advances in Computational Intelligence, contains 34 papers structured into three sections:Machine and Deep LearningImage Processing and Pattern RecognitionEvolutionary and Metaheuristic AlgorithmsThe second volume contains 29 papers structured into two sections:Natural Language ProcessingIntelligent Applications and Robotics

Advances in Computational Intelligence: 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24–29, 2022, Proceedings, Part II (Lecture Notes in Computer Science #13613)

by Obdulia Pichardo Lagunas Juan Martínez-Miranda Bella Martínez Seis

The two-volume set LNAI 13612 and 13613 constitutes the proceedings of the 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, held in Monterrey, Mexico, in October 2022.The total of 63 papers presented in these two volumes was carefully reviewed and selected from 137 submissions.The first volume, Advances in Computational Intelligence, contains 34 papers structured into three sections:Machine and Deep LearningImage Processing and Pattern RecognitionEvolutionary and Metaheuristic AlgorithmsThe second volume contains 29 papers structured into two sections:Natural Language ProcessingIntelligent Applications and Robotics

Advances in Computational Intelligence: 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, Yucatán, Mexico, November 13–18, 2023, Proceedings, Part I (Lecture Notes in Computer Science #14391)

by Hiram Calvo Lourdes Martínez-Villaseñor Hiram Ponce

The two-volume set LNAI 14391 and 14392 constitutes the proceedings of the 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, held in Yucatán, Mexico, in November 2023.The total of 49 papers presented in these two volumes was carefully reviewed and selected from 115 submissions.The proceedings of MICAI 2023 are published in two volumes. The first volume, Advances in Computational Intelligence, contains 24 papers structured into three sections:– Machine Learning– Computer Vision and Image Processing– Intelligent SystemsThe second volume, Advances in Soft Computing, contains 25 papers structured into three sections:– Natural Language Processing– Bioinformatics and Medical Applications– Robotics and Applications

Advances in Computational Intelligence: 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, Tonantzintla, Mexico, October 21–25, 2024, Proceedings, Part I (Lecture Notes in Computer Science #15246)

by Lourdes Martínez-Villaseñor Gilberto Ochoa-Ruiz

The two-volume set, LNAI 15246 and 15247, constitutes the proceedings of the 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, held in Tonantzintla, Mexico in October 21–25, 2024. The 37 full papers presented in these proceedings were carefully reviewed and selected from 141 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I - Machine Learning; Computer Vision. Part II - Intelligent Systems; Bioinformatics and Medical Applications; Natural Language Processing.

Advances in Computational Intelligence: First International Conference, ICACI 2023, Hyderabad, India, December 15–16, 2023, Proceedings (Communications in Computer and Information Science #2164)

by K. Venu Gopal Rao A. V. Krishna Prasad Seelam Ch. Vijaya Bhaskar

This book constitutes the refereed proceedings of the First International Conference on Advances in Computational Intelligence, ICACI 2023, held in Hyderabad, India, during December 15–16, 2023. The 7 full papers and 2 short papers included in this book were carefully reviewed and selected from 234 submissions. These papers focus on the diverse applications of Data engineering in various areas such as Data Mining, Artificial Intelligence, Natural Language Processing, Pattern Recognition, and Machine Learning.

Advances in Computational Intelligence: Proceedings of International Conference on Computational Intelligence 2015 (Advances in Intelligent Systems and Computing #509)

by Sudip Kumar Sahana Sujan Kumar Saha

This volume comprises the proceedings of the International Conference on Computational Intelligence 2015 (ICCI15). This book aims to bring together work from leading academicians, scientists, researchers and research scholars from across the globe on all aspects of computational intelligence. The work is composed mainly of original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of computational intelligence. Specifically, the major topics covered include classical computational intelligence models and artificial intelligence, neural networks and deep learning, evolutionary swarm and particle algorithms, hybrid systems optimization, constraint programming, human-machine interaction, computational intelligence for the web analytics, robotics, computational neurosciences, neurodynamics, bioinspired and biomorphic algorithms, cross disciplinary topics and applications. The contents of this volume will be of use to researchers and professionals alike.

Advances in Computational Intelligence: Proceedings of Second International Conference on Computational Intelligence 2018 (Advances in Intelligent Systems and Computing #988)

by Sudip Kumar Sahana Vandana Bhattacharjee

This book presents the proceedings of the International Conference on Computational Intelligence 2018 (ICCI 2018). It brings together work by leading scientists, researchers and research scholars from around the globe on all aspects of computational intelligence. The work is mainly composed of the original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of computational intelligence. Specifically, the major topics covered include classical computational intelligence models and artificial intelligence, neural networks and deep learning, evolutionary swarm and particle algorithms, hybrid systems optimization, constraint programming, human–machine interaction, computational intelligence for web analytics, robotics, computational neurosciences, neurodynamics, bioinspired and biomorphic algorithms, cross-disciplinary topics and applications.

Advances in Computational Logistics and Supply Chain Analytics (Unsupervised and Semi-Supervised Learning)

by Bader Alyoubi Chiheb-Eddine Ben Ncir Ibraheem Alharbi Hajer Ben-Romdhane

This book provides advances in computational logistics and supply chain analytics. The authors include innovative data-driven and learning-based approaches, methods, algorithms, techniques, and tools that have been designed or applied to create and implement a successful logistics and supply chain management process. This book highlights the state of the art and challenges related to the design and the application of computational methods to solve logistic and supply chain management problems. The authors present recent computational logistic methods and supply chain analytics techniques designed and applied to support managers in improving such complex processes. This book broadly covers recent computational methods and techniques applied to ensure continuous improvement of transport, logistic, and supply chain management processes. Readers can rapidly explore these new methods and their applications to solve such complex problems.

Advances in Computational Mathematics (Lecture Notes In Pure And Applied Mathematics Ser.)

by Zhongying Chen Charles A. Micchelli Yuesheng Xu Yuesheng Li

This volume presents the refereed proceedings of the Guangzhou International Symposium on Computational Mathematics, held at the Zhongshan University, People's Republic of China. Nearly 90 international mathematicians examine numerical optimization methods, wavelet analysis, computational approximation, numerical solutions of differential and integral equations, numerical linear algebra, inverse and ill-posed problems, geometric modelling, and signal and image processing and their applications.

Advances in Computational Mathematics for Industrial System Reliability and Maintainability (Springer Series in Reliability Engineering)

by Mohammad Yazdi

This book is a comprehensive exploration of computational mathematics and its impact on enhancing the reliability and maintainability of industrial systems. With its careful blend of theoretical foundations, practical applications, and future perspectives, this book is a vital reference for researchers, engineers, and professionals seeking to optimize industrial systems' performance, efficiency, and resilience.

Advances in Computational Mechanics and Applications: OES 2023 (Structural Integrity #29)

by Hojjat Adeli Nicholas Fantuzzi Georgios C. Georgiou José A. F. O. Correia Dimitrios Pavlou Knut Erik Giljarhus Yanyan Sha

This book publishes the work presented at the 1st Olympiad in Engineering Science (OES 2023), an international congress and contest aiming to disseminate and evaluate the recent advances in Engineering Science. The book covers diverse domains of engineering. From Machine Learning applications in Thrust Bearings' behavior to Optimization Techniques for space applications, each chapter presents innovative solutions to complex challenges. The Automatic Control section explores distributed intelligence in watercraft and supervisory control for manufacturing systems. In Data-Driven Engineering, simulations assess pedestrian comfort and model reconstruction. The Diagnostic-Prognostic Methods section delves into unbalance identification and steel truss bridge validation. Finally, Numerical and Analytical Methods in Engineering Mathematics cover everything from boundary integral methods to analytical solutions for fluid flows.

Advances in Computational Methods and Technologies in Aeronautics and Industry (Computational Methods in Applied Sciences #57)

by Tero Tuovinen Jacques Periaux Dietrich Knoerzer

This book provides research results using computational methods for fluid dynamics and engineering problems in aeronautics and other scientific and industrial applications. It gives an overview on the state of the art and the technology trends requiring advanced computational methods towards digitization in industrial and scientific processes. The chapters are based on Special Technology Sessions of the WCCM-ECCOMAS Virtual Congress 2021.

Advances in Computational Methods in Manufacturing: Select Papers from ICCMM 2019 (Lecture Notes on Multidisciplinary Industrial Engineering)

by Uday Shanker Dixit R. Ganesh Narayanan Shrikrishna N. Joshi

This volume presents a selection of papers from the 2nd International Conference on Computational Methods in Manufacturing (ICCMM 2019). The papers cover the recent advances in computational methods for simulating various manufacturing processes like machining, laser welding, laser bending, strip rolling, surface characterization and measurement. Articles in this volume discuss both the development of new methods and the application and efficacy of existing computational methods in manufacturing sector. This volume will be of interest to researchers in both industry and academia working on computational methods in manufacturing.

Advances in Computational Modeling and Simulation (Lecture Notes in Mechanical Engineering)

by Rajesh Kumar Rallapalli Srinivas Mainak Dutta

The book presents select proceedings of Global meet on ‘Computational Modelling and Simulation, Recent Innovations, Challenges and Perspectives, 2020. This book covers leading-edge technologies from different domains such as computation in optimization and control, multiscale and multiphysics modeling and computation analysis, environmental modeling, modeling approaches to enterprise systems and services, finite element analysis, dependability and security, high-performance computation/cloud computing applications, computational biology and chemistry and computational mechanics. The primary goal of this book is to strengthen pre-eminence in computational modeling and simulation by catalyzing the transformative use of innovative developments in a wide range of disciplines to achieve lasting societal impact. The book discusses on how to perform simulation of large complex dynamic systems in an efficient manner using advanced computational analysis. The inter-disciplinary nature of the book would be a valuable reference for academicians and research scientists, industrialists interested in modelling and simulation driven by computational technology.

Advances in Computational Plasticity: A Book in Honour of D. Roger J. Owen (Computational Methods in Applied Sciences #46)

by Eugenio Oñate Djordje Peric Eduardo de Souza Neto Michele Chiumenti

This book brings together some 20 chapters on state-of-the-art research in the broad field of computational plasticity with applications in civil and mechanical engineering, metal forming processes, geomechanics, nonlinear structural analysis, composites, biomechanics and multi-scale analysis of materials, among others. The chapters are written by world leaders in the different fields of computational plasticity.

Advances in Computational Science and Computing (Advances in Intelligent Systems and Computing #877)

by Ning Xiong Zheng Xiao Zhao Tong Jiayi Du Lipo Wang Maozhen Li

This book includes papers on the recent advances in state-of-the-art computational science and computing presented at the 2018 International Symposium on Computational Science and Computing (ISCSC 2018), held in Huangshan, China, from 28 to 29 July 2018. All the papers were rigorously peer-reviewed by experts in the area. It is a valuable resource for researchers, professors, graduate students, as well as R & D staff in the industry with a general interest in computational science and computing.

Advances in Computational Social Science: The Fourth World Congress (Agent-Based Social Systems #11)

by Takao Terano Ryuichi Yamamoto Shu-Heng Chen Chung-Ching Tai

This volume is a post-conference publication of the 4th World Congress on Social Simulation (WCSS), with contents selected from among the 80 papers originally presented at the conference. WCSS is a biennial event, jointly organized by three scientific communities in computational social science, namely, the Pacific-Asian Association for Agent-Based Approach in Social Systems Sciences (PAAA), the European Social Simulation Association (ESSA), and the Computational Social Science Society of the Americas (CSSSA). It is, therefore, currently the most prominent conference in the area of agent-based social simulation. The papers selected for this volume give a holistic view of the current development of social simulation, indicating the directions for future research and creating an important archival document and milestone in the history of computational social science. Specifically, the papers included here cover substantial progress in artificial financial markets, macroeconomic forecasting, supply chain management, bank networks, social networks, urban planning, social norms and group formation, cross-cultural studies, political party competition, voting behavior, computational demography, computational anthropology, evolution of languages, public health and epidemics, AIDS, security and terrorism, methodological and epistemological issues, empirical-based agent-based modeling, modeling of experimental social science, gaming simulation, cognitive agents, and participatory simulation. Furthermore, pioneering studies in some new research areas, such as the theoretical foundations of social simulation and categorical social science, also are included in the volume.

Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science (Challenges and Advances in Computational Chemistry and Physics #30)

by Huixiao Hong

This book provides a comprehensive review of both traditional and cutting-edge methodologies that are currently used in computational toxicology and specifically features its application in regulatory decision making. The authors from various government agencies such as FDA, NCATS and NIEHS industry, and academic institutes share their real-world experience and discuss most current practices in computational toxicology and potential applications in regulatory science. Among the topics covered are molecular modeling and molecular dynamics simulations, machine learning methods for toxicity analysis, network-based approaches for the assessment of drug toxicity and toxicogenomic analyses. Offering a valuable reference guide to computational toxicology and potential applications in regulatory science, this book will appeal to chemists, toxicologists, drug discovery and development researchers as well as to regulatory scientists, government reviewers and graduate students interested in this field.

Advances in Computational Vision and Robotics: Proceedings of the International Conference on Computational Vision and Robotics (Learning and Analytics in Intelligent Systems #33)

by George A. Tsihrintzis Srikanta Patnaik Roumen Kountchev Margarita N. Favorskaya

Advances in Computational Vision and Robotics contains research papers from diverse field of engineering, computer science, social and bio-medical science. This book contains various research articles from the following domain:i. Pattern recognition and Robotic Vision.ii. Artificial Intelligence and Deep Learning application.iii. Big Data Application in Robotics.iv. Deep Learning and Neural Network.Authors from the area of Particle Swarm Optimization, Defect Detection, Gesture Information Collection, Image Processing and Remote Sensing, Melody Recognition, Convolution Neural Network and Satellite Image processing etc. have contributed their research outcomes.

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Showing 53,951 through 53,975 of 100,000 results