Vipimage 2019

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VipIMAGE 2019

Author : João Manuel R. S. Tavares
Publisher : Springer Nature
ISBN 13 : 3030320405
Total Pages : 706 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis VipIMAGE 2019 by : João Manuel R. S. Tavares

Download or read book VipIMAGE 2019 written by João Manuel R. S. Tavares and published by Springer Nature. This book was released on 2019-09-27 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers full papers presented at the VipIMAGE 2019—VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing—held on October 16-18, 2019, in Porto, Portugal. It discusses cutting-edge methods, findings, and applications related to 3D vision, bio- and medical imaging, computer-aided diagnosis, image enhancement, image processing and analysis, virtual reality, and also describes in detail advanced image analysis techniques, such as image segmentation and feature selection, as well as statistical and geometrical modeling. The book provides both researchers and professionals with extensive and timely insights into advanced imaging techniques for various application purposes.

Design, Learning, and Innovation

Author : Eva Irene Brooks
Publisher : Springer Nature
ISBN 13 : 3030784487
Total Pages : 215 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Design, Learning, and Innovation by : Eva Irene Brooks

Download or read book Design, Learning, and Innovation written by Eva Irene Brooks and published by Springer Nature. This book was released on 2021-06-27 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings the 5th EAI International Conference on DLI 2020, Design, Leaning and Innovation, which took place in December 2020. Due to COVID-19 pandemic the conference was held virtually. The 14 revised full papers presented were carefully selected from 40 submissions and are organized in four thematic sessions on: digital technologies and learning; designing for innovation; digital games, gamification and robots; designs for innovative learning.

Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering II

Author : João Manuel R. S. Tavares
Publisher : Springer Nature
ISBN 13 : 3031100158
Total Pages : 304 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering II by : João Manuel R. S. Tavares

Download or read book Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering II written by João Manuel R. S. Tavares and published by Springer Nature. This book was released on 2022-07-29 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected, extended and revised contributions to the 17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering and the 5th Conference on Imaging and Visualization (CMBBE 2021), held online on September 7-9, 2021, from Bonn, Germany. It reports on cutting-edge models, algorithms and imaging techniques for studying cells, tissues and organs in normal and pathological conditions. It covers numerical and machine learning methods, finite element modeling and virtual reality techniques, applied to understand biomechanics of movement, fluid and soft tissue biomechanics. It also reports on related advances in rehabilitation, surgery and diagnosis. All in all, this book offers a timely snapshot of the latest research and current challenges at the interface between biomedical engineering, computational biomechanics and biological imaging. Thus, it is expected to provide a source of inspiration for future research and cross-disciplinary collaborations.

Brain Tumor MRI Image Segmentation Using Deep Learning Techniques

Author : Jyotismita Chaki
Publisher : Academic Press
ISBN 13 : 0323983952
Total Pages : 260 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Brain Tumor MRI Image Segmentation Using Deep Learning Techniques by : Jyotismita Chaki

Download or read book Brain Tumor MRI Image Segmentation Using Deep Learning Techniques written by Jyotismita Chaki and published by Academic Press. This book was released on 2021-11-27 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain Tumor MRI Image Segmentation Using Deep Learning Techniques offers a description of deep learning approaches used for the segmentation of brain tumors. The book demonstrates core concepts of deep learning algorithms by using diagrams, data tables and examples to illustrate brain tumor segmentation. After introducing basic concepts of deep learning-based brain tumor segmentation, sections cover techniques for modeling, segmentation and properties. A focus is placed on the application of different types of convolutional neural networks, like single path, multi path, fully convolutional network, cascade convolutional neural networks, Long Short-Term Memory - Recurrent Neural Network and Gated Recurrent Units, and more. The book also highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in brain tumor segmentation. Provides readers with an understanding of deep learning-based approaches in the field of brain tumor segmentation, including preprocessing techniques Integrates recent advancements in the field, including the transformation of low-resolution brain tumor images into super-resolution images using deep learning-based methods, single path Convolutional Neural Network based brain tumor segmentation, and much more Includes coverage of Long Short-Term Memory (LSTM) based Recurrent Neural Network (RNN), Gated Recurrent Units (GRU) based Recurrent Neural Network (RNN), Generative Adversarial Networks (GAN), Auto Encoder based brain tumor segmentation, and Ensemble deep learning Model based brain tumor segmentation Covers research Issues and the future of deep learning-based brain tumor segmentation

Deep Neural Evolution

Author : Hitoshi Iba
Publisher : Springer Nature
ISBN 13 : 9811536856
Total Pages : 437 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Deep Neural Evolution by : Hitoshi Iba

Download or read book Deep Neural Evolution written by Hitoshi Iba and published by Springer Nature. This book was released on 2020-05-20 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delivers the state of the art in deep learning (DL) methods hybridized with evolutionary computation (EC). Over the last decade, DL has dramatically reformed many domains: computer vision, speech recognition, healthcare, and automatic game playing, to mention only a few. All DL models, using different architectures and algorithms, utilize multiple processing layers for extracting a hierarchy of abstractions of data. Their remarkable successes notwithstanding, these powerful models are facing many challenges, and this book presents the collaborative efforts by researchers in EC to solve some of the problems in DL. EC comprises optimization techniques that are useful when problems are complex or poorly understood, or insufficient information about the problem domain is available. This family of algorithms has proven effective in solving problems with challenging characteristics such as non-convexity, non-linearity, noise, and irregularity, which dampen the performance of most classic optimization schemes. Furthermore, EC has been extensively and successfully applied in artificial neural network (ANN) research —from parameter estimation to structure optimization. Consequently, EC researchers are enthusiastic about applying their arsenal for the design and optimization of deep neural networks (DNN). This book brings together the recent progress in DL research where the focus is particularly on three sub-domains that integrate EC with DL: (1) EC for hyper-parameter optimization in DNN; (2) EC for DNN architecture design; and (3) Deep neuroevolution. The book also presents interesting applications of DL with EC in real-world problems, e.g., malware classification and object detection. Additionally, it covers recent applications of EC in DL, e.g. generative adversarial networks (GAN) training and adversarial attacks. The book aims to prompt and facilitate the research in DL with EC both in theory and in practice.

Fuzzy Logic and Technology, and Aggregation Operators

Author : Sebastia Massanet
Publisher : Springer Nature
ISBN 13 : 303139965X
Total Pages : 755 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Fuzzy Logic and Technology, and Aggregation Operators by : Sebastia Massanet

Download or read book Fuzzy Logic and Technology, and Aggregation Operators written by Sebastia Massanet and published by Springer Nature. This book was released on 2023-09-21 with total page 755 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 13th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2023, and 12th International Summer School on Aggregation Operators, AGOP 2023, jointly held in Palma de Mallorca, Spain, during September 4–8, 2023. The 71 full papers presented in this book were carefully reviewed and selected from 161 submissions. The papers are divided into special sessions on: Interval uncertainty; information fusion techniques based on aggregation functions, preaggregation functions and their generalizations; evaluative linguistic expressions, generalized quantifiers and applications; neural networks under uncertainty and imperfect information; imprecision modeling and management in XAI systems; recent trends in mathematical fuzzy logics; fuzzy graph-based models: theory and application; new frontiers of computational intelligence for pervasive healthcare systems; fuzzy implication functions; and new challenges and ideas in statistical inference and data analysis.

Computational Science – ICCS 2020

Author : Valeria V. Krzhizhanovskaya
Publisher : Springer Nature
ISBN 13 : 3030504174
Total Pages : 715 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Computational Science – ICCS 2020 by : Valeria V. Krzhizhanovskaya

Download or read book Computational Science – ICCS 2020 written by Valeria V. Krzhizhanovskaya and published by Springer Nature. This book was released on 2020-06-18 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.

Computer Vision – ECCV 2022 Workshops

Author : Leonid Karlinsky
Publisher : Springer Nature
ISBN 13 : 3031250699
Total Pages : 796 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Computer Vision – ECCV 2022 Workshops by : Leonid Karlinsky

Download or read book Computer Vision – ECCV 2022 Workshops written by Leonid Karlinsky and published by Springer Nature. This book was released on 2023-02-13 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022. The conference took place in Tel Aviv, Israel, during October 23-27, 2022; the workshops were held hybrid or online. The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the ECCV 2022 workshop proceedings. They were organized in individual parts as follows: Part I: W01 - AI for Space; W02 - Vision for Art; W03 - Adversarial Robustness in the Real World; W04 - Autonomous Vehicle Vision Part II: W05 - Learning With Limited and Imperfect Data; W06 - Advances in Image Manipulation; Part III: W07 - Medical Computer Vision; W08 - Computer Vision for Metaverse; W09 - Self-Supervised Learning: What Is Next?; Part IV: W10 - Self-Supervised Learning for Next-Generation Industry-Level Autonomous Driving; W11 - ISIC Skin Image Analysis; W12 - Cross-Modal Human-Robot Interaction; W13 - Text in Everything; W14 - BioImage Computing; W15 - Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications; W16 - AI for Creative Video Editing and Understanding; W17 - Visual Inductive Priors for Data-Efficient Deep Learning; W18 - Mobile Intelligent Photography and Imaging; Part V: W19 - People Analysis: From Face, Body and Fashion to 3D Virtual Avatars; W20 - Safe Artificial Intelligence for Automated Driving; W21 - Real-World Surveillance: Applications and Challenges; W22 - Affective Behavior Analysis In-the-Wild; Part VI: W23 - Visual Perception for Navigation in Human Environments: The JackRabbot Human Body Pose Dataset and Benchmark; W24 - Distributed Smart Cameras; W25 - Causality in Vision; W26 - In-Vehicle Sensing and Monitorization; W27 - Assistive Computer Vision and Robotics; W28 - Computational Aspects of Deep Learning; Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W30 - AI-Enabled Medical Image Analysis: Digital Pathology and Radiology/COVID19; W31 - Compositional and Multimodal Perception; Part VIII: W32 - Uncertainty Quantification for Computer Vision; W33 - Recovering 6D Object Pose; W34 - Drawings and Abstract Imagery: Representation and Analysis; W35 - Sign Language Understanding; W36 - A Challenge for Out-of-Distribution Generalization in Computer Vision; W37 - Vision With Biased or Scarce Data; W38 - Visual Object Tracking Challenge.

Computational Intelligence in Pattern Recognition

Author : Asit Kumar Das
Publisher : Springer Nature
ISBN 13 : 9819937345
Total Pages : 748 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Computational Intelligence in Pattern Recognition by : Asit Kumar Das

Download or read book Computational Intelligence in Pattern Recognition written by Asit Kumar Das and published by Springer Nature. This book was released on 2023-10-02 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality research papers presented at the 5th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2023), held at Department of Computer Science and Engineering, Techno Main Salt Lake, West Bengal, India, during May 27–28, 2023. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics, and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Artificial Neural Networks and Machine Learning – ICANN 2023

Author : Lazaros Iliadis
Publisher : Springer Nature
ISBN 13 : 3031441958
Total Pages : 559 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2023 by : Lazaros Iliadis

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2023 written by Lazaros Iliadis and published by Springer Nature. This book was released on 2023-10-23 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023. The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.

Human Interaction, Emerging Technologies and Future Systems V

Author : Tareq Ahram
Publisher : Springer Nature
ISBN 13 : 3030855406
Total Pages : 1316 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Human Interaction, Emerging Technologies and Future Systems V by : Tareq Ahram

Download or read book Human Interaction, Emerging Technologies and Future Systems V written by Tareq Ahram and published by Springer Nature. This book was released on 2021-09-09 with total page 1316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on research and developments in human–technology interaction. A special emphasis is given to human–computer interaction and its implementation for a wide range of purposes such as health care, aerospace, telecommunication, and education, among others. The human aspects are analyzed in detail. Timely studies on human-centered design, wearable technologies, social and affective computing, augmented, virtual and mixed reality simulation, human rehabilitation, and biomechanics represent the core of the book. Emerging technology applications in business, security, and infrastructure are also critically examined, thus offering a timely, scientifically grounded, but also professionally oriented snapshot of the current state of the field. The book gathers contributions presented at the 5th International Conference on Human Interaction and Emerging Technologies (IHIET 2021, August 27–29, 2021) and the 6th International Conference on Human Interaction and Emerging Technologies: Future Systems (IHIET-FS 2021, October 28–30, 2021), held virtually from France. It offers a timely survey and a practice-oriented reference guide to researchers and professionals dealing with design, systems engineering, and management of the next-generation technology and service systems.

Optimum-Path Forest

Author : Alexandre Xavier Falcao
Publisher : Academic Press
ISBN 13 : 0128226897
Total Pages : 246 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Optimum-Path Forest by : Alexandre Xavier Falcao

Download or read book Optimum-Path Forest written by Alexandre Xavier Falcao and published by Academic Press. This book was released on 2022-01-06 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Optimum-Path Forest (OPF) classifier was first published in 2008 in its supervised and unsupervised versions with applications in medicine and image classification. Since then, it has expanded to a variety of other applications such as remote sensing, electrical and petroleum engineering, and biology. In recent years, multi-label and semi-supervised versions were also developed to handle video classification problems. The book presents the principles, algorithms and applications of Optimum-Path Forest, giving the theory and state-of-the-art as well as insights into future directions. Presents the first book on Optimum-path Forest Shows how it can be used with Deep Learning Gives a wide range of applications Includes the methods, underlying theory and applications of Optimum-Path Forest (OPF)

Service Science

Author : Zhongjie Wang
Publisher : Springer Nature
ISBN 13 : 9819944023
Total Pages : 523 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Service Science by : Zhongjie Wang

Download or read book Service Science written by Zhongjie Wang and published by Springer Nature. This book was released on 2023-07-26 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes selected papers presented at the 16th International Conference on Service Science, ICSS 2023, held in Harbin, China, in May 2023. The 36 full papers and 2 short papers presented were thoroughly reviewed and selected from the 71 submissions. They are organized in the following topical sections: serverless edge computing; edge services reliability; intelligent services; service application; knowledge-inspired service; service ecosystem; graph-based service optimization; AI-inspired service optimization.

Universal Access in Human-Computer Interaction. Applications and Practice

Author : Margherita Antona
Publisher : Springer Nature
ISBN 13 : 3030491080
Total Pages : 647 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Universal Access in Human-Computer Interaction. Applications and Practice by : Margherita Antona

Download or read book Universal Access in Human-Computer Interaction. Applications and Practice written by Margherita Antona and published by Springer Nature. This book was released on 2020-07-10 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set of LNCS 12188 and 12189 constitutes the refereed proceedings of the 14th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2020, held as part of the 22nd International Conference, HCI International 2020, which took place in Copenhagen, Denmark, in July 2020. The conference was held virtually due to the COVID-19 pandemic. The total of 1439 papers and 238 posters have been accepted for publication in the HCII 2020 proceedings from a total of 6326 submissions. UAHCI 2020 includes a total of 80 regular papers which are organized in topical sections named: Design for All Theory, Methods and Practice; User Interfaces and Interaction Techniques for Universal Access; Web Accessibility; Virtual and Augmented Reality for Universal Access; Robots in Universal Access; Technologies for Autism Spectrum Disorders; Technologies for Deaf Users; Universal Access to Learning and Education; Social Media, Digital Services, Inclusion and Innovation; Intelligent Assistive Environments.

Intelligent Systems

Author : Murilo C. Naldi
Publisher : Springer Nature
ISBN 13 : 3031453891
Total Pages : 443 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Intelligent Systems by : Murilo C. Naldi

Download or read book Intelligent Systems written by Murilo C. Naldi and published by Springer Nature. This book was released on 2023-10-11 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNAI 14195, 14196, and 14197 constitutes the refereed proceedings of the 12th Brazilian Conference on Intelligent Systems, BRACIS 2023, which took place in Belo Horizonte, Brazil, in September 2023. The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows: Part I: Best papers; resource allocation and planning; rules and feature extraction; AI and education; agent systems; explainability; AI models; Part II: Transformer applications; convolutional neural networks; deep learning applications; reinforcement learning and GAN; classification; machine learning analysis; Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications.

Intelligence of Things: Technologies and Applications

Author : Nhu-Ngoc Dao
Publisher : Springer Nature
ISBN 13 : 3031465733
Total Pages : 452 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Intelligence of Things: Technologies and Applications by : Nhu-Ngoc Dao

Download or read book Intelligence of Things: Technologies and Applications written by Nhu-Ngoc Dao and published by Springer Nature. This book was released on 2023-11-20 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products. This book provides a technical reference for interdisciplinary studies which utilize machine learning and IoT as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education.

Advanced, Contemporary Control

Author : Marek Pawelczyk
Publisher : Springer Nature
ISBN 13 : 3031351738
Total Pages : 463 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advanced, Contemporary Control by : Marek Pawelczyk

Download or read book Advanced, Contemporary Control written by Marek Pawelczyk and published by Springer Nature. This book was released on 2023-07-15 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the reader to the hottest topics in current control sciences and robotics, as seen by scientists from Poland and other European countries. Volume 2 comprises 42 chapters, which specifically address topics connected to statistical and stochastic methods in control engineering applications, to optimization and quantum computing, to biological, medical, and ecological systems, to new applications of artificial intelligence and machine learning in automated and connected vehicles, to design and control of autonomous marine, robotics, and vehicles systems, and to other modern topics. The contributions were presented during XXI Polish Control Conference, held in Gliwice, Poland, from June 26 to 29, 2023. This book is extremely useful to all persons who want to know the latest trends in automation and robotics.