2011 Ieee Third International Workshop on Computational Intelligence in Medical Imaging
Author: IEEE Computational Intelligence Society
Publisher:
Published: 2011-04-11
Total Pages:
ISBN-13: 9781612843346
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2013 Fourth International Workshop on Computational Intelligence in Medical Imaging (CIMI)
Author: IEEE Staff
Publisher:
Published: 2013-04-15
Total Pages:
ISBN-13: 9781509000050
DOWNLOAD EBOOK →Nowadays medical imaging provides major aid in many branches of medicine and enables and facilitates the capture, transmission and analysis of medical images as well as provides assistance towards medical diagnoses Medical imaging is still on the rise with new imaging modalities being added and continuous improvements of devices capabilities Recently, computational intelligence techniques have been employed in various applications in the area of medical imaging Approaches based on computational intelligence have been shown to be advantageous compared to classical approaches, in particular when classical solutions are hard or impossible to formulate and analyse The International Workshop on Computational Intelligence in Medical Imaging, held as part of the IEEE Symposium Series on Computational Intelligence 2013, is envisaged as a compilation of the latest trends and developments in the field of computational intelligence in medical imaging
Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications
Author: Siddhartha Bhattacharyya
Publisher: Elsevier
Published: 2024-07-15
Total Pages: 382
ISBN-13: 0443155321
DOWNLOAD EBOOK →With the advent of data-intensive applications, the elimination of redundancy in disseminated information has become a serious challenge for researchers who are on the lookout for evolving metaheuristic algorithms which can explore and exploit the information feature space to derive the optimal settings for specific applications. Swarm intelligence algorithms have developed as one of the most widely used metaheuristic techniques for addressing this challenge in an effective way. Inspired by the behavior of a swarm of bees, these swarm intelligence techniques emulate the corresponding natural instincts to derive optimal solutions for data-intensive applications. Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications focuses on the recent and most up-to-date technologies combining other intelligent tools with swarm intelligence techniques to yield robust and failsafe solutions to real world problems. This book aims to provide audiences with a platform to learn and gain insights into the latest developments in hybrid swarm intelligence. It will be useful to researchers, engineers, developers, practitioners, and graduate students working in the major and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. Introduces the theory underpinning hybrid swarm intelligence-enabled research as well as the leading applications across the fields of communication, networking, and information engineering Presents a range of applications research, including signal processing, communication engineering, bioinformatics, controllers, federated learning systems, blockchain, and IoT Includes case studies and code snippets in applications chapters
Soft Computing for Problem Solving
Author: Jagdish Chand Bansal
Publisher: Springer
Published: 2018-10-30
Total Pages: 991
ISBN-13: 9811315957
DOWNLOAD EBOOK →This two-volume book presents outcomes of the 7th International Conference on Soft Computing for Problem Solving, SocProS 2017. This conference is a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), the Indian Institute of Technology Roorkee, the South Asian University New Delhi and the National Institute of Technology Silchar, and brings together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in the areas including, but not limited to, algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.
Transactions on Computational Collective Intelligence XXIV
Author: Ngoc Thanh Nguyen
Publisher: Springer
Published: 2016-09-29
Total Pages: 169
ISBN-13: 3662535254
DOWNLOAD EBOOK →These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-forth issue contains 9 carefully selected and revised contributions.p>
Intelligent Systems'2014
Author: D. Filev
Publisher: Springer
Published: 2014-09-20
Total Pages: 907
ISBN-13: 3319113100
DOWNLOAD EBOOK →This two volume set of books constitutes the proceedings of the 2014 7th IEEE International Conference Intelligent Systems (IS), or IEEE IS’2014 for short, held on September 24‐26, 2014 in Warsaw, Poland. Moreover, it contains some selected papers from the collocated IWIFSGN'2014-Thirteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets.The conference was organized by the Systems Research Institute, Polish Academy of Sciences, Department IV of Engineering Sciences, Polish Academy of Sciences, and Industrial Institute of Automation and Measurements - PIAP.The papers included in the two proceedings volumes have been subject to a thorough review process by three highly qualified peer reviewers.Comments and suggestions from them have considerable helped improve the quality of the papers but also the division of the volumes into parts, and assignment of the papers to the best suited parts.
Proceedings of the Third International Conference on Computational Intelligence and Informatics
Author: K. Srujan Raju
Publisher: Springer Nature
Published: 2020-03-17
Total Pages: 881
ISBN-13: 9811514801
DOWNLOAD EBOOK →This book features high-quality papers presented at the International Conference on Computational Intelligence and Informatics (ICCII 2018), which was held on 28–29 December 2018 at the Department of Computer Science and Engineering, JNTUH College of Engineering, Hyderabad, India. The papers focus on topics such as data mining, wireless sensor networks, parallel computing, image processing, network security, MANETS, natural language processing and Internet of things.
Diabetes and Fundus OCT
Author: Ayman S. El-Baz
Publisher: Elsevier
Published: 2020-04-17
Total Pages: 434
ISBN-13: 0128174404
DOWNLOAD EBOOK →Diabetes and Fundus OCT brings together a stellar cast of authors who review the computer-aided diagnostic (CAD) systems developed to diagnose non-proliferative diabetic retinopathy in an automated fashion using Fundus and OCTA images. Academic researchers, bioengineers, new investigators and students interested in diabetes and retinopathy need an authoritative reference to bring this multidisciplinary field together to help reduce the amount of time spent on source-searching and instead focus on actual research and the clinical application. This reference depicts the current clinical understanding of diabetic retinopathy, along with the many scientific advances in understanding this condition. As the role of optical coherence tomography (OCT) in the assessment and management of diabetic retinopathy has become significant in understanding the vireo retinal relationships and the internal architecture of the retina, this information is more critical than ever. Includes unique information for academic clinicians, researchers and bioengineers Provides insights needed to understand the imaging modalities involved, the unmet clinical need that is being addressed, and the engineering and technical approaches applied Brings together details on the retinal vasculature in diabetics as imaged by optical coherence tomography angiography and automated detection of retinal disease
Machine Learning in Medical Imaging
Author: Kenji Suzuki
Publisher: Springer
Published: 2011-09-25
Total Pages: 383
ISBN-13: 3642243193
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning in Medical Imaging, MLMI 2011, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 44 revised full papers presented were carefully reviewed and selected from 74 submissions. The papers focus on major trends in machine learning in medical imaging aiming to identify new cutting-edge techniques and their use in medical imaging.
Advanced Engineering Optimization Through Intelligent Techniques
Author: R. Venkata Rao
Publisher: Springer
Published: 2019-07-09
Total Pages: 861
ISBN-13: 9811381968
DOWNLOAD EBOOK →This book comprises select peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2018. The book combines contributions from academics and industry professionals, and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer and electronics engineering. Different optimization techniques and algorithms such as genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, artificial immune algorithm (AIA), teaching-learning-based optimization (TLBO) algorithm and many other latest meta-heuristic techniques and their applications are discussed. This book will serve as a valuable reference for students, researchers and practitioners and help them in solving a wide range of optimization problems.
