Third International Conference On Image Processing And Capsule Networks

Author : Joy Iong-Zong Chen,João Manuel R. S. Tavares,Fuqian Shi
Publisher : Springer Nature
Page : 855 pages
File Size : 49,7 Mb
Release : 2022-07-28
Category : Technology & Engineering
ISBN : 9783031124136

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Third International Conference on Image Processing and Capsule Networks by Joy Iong-Zong Chen,João Manuel R. S. Tavares,Fuqian Shi Pdf

This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations. Image processing technology has progressed significantly in recent years, and it has been commercialized worldwide to provide superior performance with enhanced computer/machine vision, video processing, and pattern recognition capabilities. Meanwhile, machine learning systems like CNN and CapsNet get popular to provide better model hierarchical relationships and attempts to more closely mimic biological neural organization. As machine learning systems prosper, image processing and machine learning techniques will be tightly intertwined and continuously promote each other in real-world settings. Adopting this trend, however, the image processing researchers are faced with few image reconstruction, analysis, and segmentation challenges. On the application side, the orientation of the image features and noise removal has become a huge burden.

Author : Joy Iong-Zong Chen,João Manuel R. S. Tavares,Abdullah M. Iliyasu,Ke-Lin Du
Publisher : Springer Nature
Page : 840 pages
File Size : 50,6 Mb
Release : 2021-09-09
Category : Technology & Engineering
ISBN : 9783030847609

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Second International Conference on Image Processing and Capsule Networks by Joy Iong-Zong Chen,João Manuel R. S. Tavares,Abdullah M. Iliyasu,Ke-Lin Du Pdf

This book includes the papers presented in 2nd International Conference on Image Processing and Capsule Networks [ICIPCN 2021]. In this digital era, image processing plays a significant role in wide range of real-time applications like sensing, automation, health care, industries etc. Today, with many technological advances, many state-of-the-art techniques are integrated with image processing domain to enhance its adaptiveness, reliability, accuracy and efficiency. With the advent of intelligent technologies like machine learning especially deep learning, the imaging system can make decisions more and more accurately. Moreover, the application of deep learning will also help to identify the hidden information in volumetric images. Nevertheless, capsule network, a type of deep neural network, is revolutionizing the image processing domain; it is still in a research and development phase. In this perspective, this book includes the state-of-the-art research works that integrate intelligent techniques with image processing models, and also, it reports the recent advancements in image processing techniques. Also, this book includes the novel tools and techniques for deploying real-time image processing applications. The chapters will briefly discuss about the intelligent image processing technologies, which leverage an authoritative and detailed representation by delivering an enhanced image and video recognition and adaptive processing mechanisms, which may clearly define the image and the family of image processing techniques and applications that are closely related to the humanistic way of thinking.

Author : Subarna Shakya,João Manuel R. S. Tavares,Antonio Fernández-Caballero,George Papakostas
Publisher : Springer Nature
Page : 741 pages
File Size : 55,8 Mb
Release : 2023-12-19
Category : Technology & Engineering
ISBN : 9789819970933

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Fourth International Conference on Image Processing and Capsule Networks by Subarna Shakya,João Manuel R. S. Tavares,Antonio Fernández-Caballero,George Papakostas Pdf

This book includes high-quality research papers presented at the Fourth International Conference on Image Processing and Capsule Networks (ICIPCN 2023), which is held in Bangkok, Thailand, during 10–11 August 2023. This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations.

Author : Joy Iong-Zong Chen,João Manuel R. S. Tavares,Subarna Shakya,Abdullah M. Iliyasu
Publisher : Springer Nature
Page : 829 pages
File Size : 41,5 Mb
Release : 2020-07-23
Category : Technology & Engineering
ISBN : 9783030518592

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Image Processing and Capsule Networks by Joy Iong-Zong Chen,João Manuel R. S. Tavares,Subarna Shakya,Abdullah M. Iliyasu Pdf

This book emphasizes the emerging building block of image processing domain, which is known as capsule networks for performing deep image recognition and processing for next-generation imaging science. Recent years have witnessed the continuous development of technologies and methodologies related to image processing, analysis and 3D modeling which have been implemented in the field of computer and image vision. The significant development of these technologies has led to an efficient solution called capsule networks [CapsNet] to solve the intricate challenges in recognizing complex image poses, visual tasks, and object deformation. Moreover, the breakneck growth of computation complexities and computing efficiency has initiated the significant developments of the effective and sophisticated capsule network algorithms and artificial intelligence [AI] tools into existence. The main contribution of this book is to explain and summarize the significant state-of-the-art research advances in the areas of capsule network [CapsNet] algorithms and architectures with real-time implications in the areas of image detection, remote sensing, biomedical image analysis, computer communications, machine vision, Internet of things, and data analytics techniques.

Author : Pandian Vasant,Mohammad Shamsul Arefin,Vladimir Panchenko,J. Joshua Thomas,Elias Munapo,Gerhard-Wilhelm Weber,Roman Rodriguez-Aguilar
Publisher : Springer Nature
Page : 364 pages
File Size : 44,5 Mb
Release : 2023-12-12
Category : Technology & Engineering
ISBN : 9783031362460

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Intelligent Computing and Optimization by Pandian Vasant,Mohammad Shamsul Arefin,Vladimir Panchenko,J. Joshua Thomas,Elias Munapo,Gerhard-Wilhelm Weber,Roman Rodriguez-Aguilar Pdf

This book of Springer Nature is another proof of Springer’s outstanding greatness on the lively interface of Holistic Computational Optimization, Green IoTs, Smart Modeling, and Deep Learning! It is a masterpiece of what our community of academics and experts can provide when an interconnected approach of joint, mutual, and meta-learning is supported by advanced operational research and experience of the World-Leader Springer Nature! The 6th edition of International Conference on Intelligent Computing and Optimization took place at G Hua Hin Resort & Mall on April 27–28, 2023, with tremendous support from the global research scholars across the planet. Objective is to celebrate “Research Novelty with Compassion and Wisdom” with researchers, scholars, experts, and investigators in Intelligent Computing and Optimization across the globe, to share knowledge, experience, and innovation—a marvelous opportunity for discourse and mutuality by novel research, invention, and creativity. This proceedings book of the 6th ICO’2023 is published by Springer Nature—Quality Label of Enlightenment.

Author : Ashish Kumar Tripathi,Darpan Anand,Atulya K. Nagar
Publisher : Springer Nature
Page : 543 pages
File Size : 40,6 Mb
Release : 2023-12-03
Category : Technology & Engineering
ISBN : 9789819958818

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Proceedings of World Conference on Artificial Intelligence: Advances and Applications by Ashish Kumar Tripathi,Darpan Anand,Atulya K. Nagar Pdf

This book is a collection of outstanding research papers presented at the World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2023), organized by Sir Padampat Singhania University, India and is technically sponsored by Soft Computing Research Society during March 18–19, 2023. The topics covered are agent-based systems, evolutionary algorithms, approximate reasoning, bioinformatics and computational biology, artificial intelligence in modeling and simulation, natural language processing, brain-machine interfaces, collective intelligence, computer vision and speech understanding, data mining, swarm intelligence, machine learning, human-computer interaction, intelligent sensor, devices and applications, and intelligent database systems.

Author : P. P. Joby,Marcelo S. Alencar,Przemyslaw Falkowski-Gilski
Publisher : Springer Nature
Page : 787 pages
File Size : 51,8 Mb
Release : 2023-12-29
Category : Technology & Engineering
ISBN : 9789819965861

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IoT Based Control Networks and Intelligent Systems by P. P. Joby,Marcelo S. Alencar,Przemyslaw Falkowski-Gilski Pdf

This book gathers selected papers presented at International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2023), organized by School of Computer Science and Engineering, REVA University, Bengaluru, India, during June 21–22, 2023. The book covers state-of-the-art research insights on Internet of things (IoT) paradigm to access, manage, and control the objects/things/people working under various information systems and deployed under wide range of applications like smart cities, healthcare, industries, and smart homes.

Author : Sarath Chandran K R,Sujaudeen N,Beulah A,Shahul Hamead H
Publisher : Springer Nature
Page : 341 pages
File Size : 47,9 Mb
Release : 2023-07-21
Category : Computers
ISBN : 9783031382963

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Computational Intelligence in Data Science by Sarath Chandran K R,Sujaudeen N,Beulah A,Shahul Hamead H Pdf

This book constitutes the proceedings of the 6th IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2023, which took place in Kalavakkam, India, in February 2023. The 24 full papers presented in this volume were carefully reviewed and selected from 134 submissions. The major theme of the conference was intended to be computation intelligence and knowledge management. Various emerging areas like IoT, cyber security and data science need computation intelligence to align with the cutting-edge research. Machine learning delivers insights hidden in data for rapid, automated responses and improved decision making. Machine learning for IoT can be used to project future trends, detect anomalies, and augment intelligence by ingesting image, video, and audio.

Author : Goel, Neha,Yadav, Ravindra Kumar
Publisher : IGI Global
Page : 570 pages
File Size : 47,5 Mb
Release : 2023-07-03
Category : Computers
ISBN : 9781668487877

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Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries by Goel, Neha,Yadav, Ravindra Kumar Pdf

Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. IoT technology has proven efficient in solving many real-world problems, and ML algorithms combined with IoT means the fusion of product and intelligence to achieve better automation, efficiency, productivity, and connectivity. The Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries highlights the importance of ML for IoT’s success and diverse ML-powered IoT applications. This book addresses the problems and challenges in energy, industry, and healthcare and solutions proposed for ML-enabled IoT and new algorithms in ML. It further addresses their accuracy for existing real-time applications. Covering topics such as agriculture, pattern recognition, and smart applications, this premier reference source is an essential resource for engineers, scientists, educators, students, researchers, and academicians.

Author : Sandeep Kumar
Publisher : Springer Nature
Page : 477 pages
File Size : 40,7 Mb
Release : 2024-06-06
Category : Electronic
ISBN : 9789819990375

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Fourth Congress on Intelligent Systems by Sandeep Kumar Pdf

Author : Arti Noor,Kriti Saroha,Emil Pricop,Abhijit Sen,Gaurav Trivedi
Publisher : Springer Nature
Page : 745 pages
File Size : 47,9 Mb
Release : 2023-09-19
Category : Technology & Engineering
ISBN : 9789819939633

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Proceedings of Third Emerging Trends and Technologies on Intelligent Systems by Arti Noor,Kriti Saroha,Emil Pricop,Abhijit Sen,Gaurav Trivedi Pdf

This book presents best selected papers presented at the International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2023) held from 23 – 24 February 2023 in hybrid mode at C-DAC, Noida, India. The book includes current research works in the areas of artificial intelligence, big data, cyber-physical systems, and security in industrial/real-world settings. The book illustrates on-going research results, projects, surveying works, and industrial experiences that describe significant advances in all of the related areas.

Author : K. Murugeswari,B. Sundaravadivazhagan,S Poonkuntran,Thendral Puyalnithi
Publisher : CRC Press
Page : 309 pages
File Size : 42,9 Mb
Release : 2024-05-15
Category : Medical
ISBN : 9781040021378

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Deep Learning for Smart Healthcare by K. Murugeswari,B. Sundaravadivazhagan,S Poonkuntran,Thendral Puyalnithi Pdf

Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data. Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new ways to apply deep learning algorithms in healthcare, including medical imaging and healthcare data analytics. It covers how deep learning can analyze a patient’s medical history efficiently to aid in recommending drugs and dosages. It discusses how deep learning can be applied to CT scans, MRI scans and ECGs to diagnose diseases. Other deep learning applications explored are extending the scope of patient record management, pain assessment, new drug design and managing the clinical trial process. Bringing together a wide range of research domains, this book can help to develop breakthrough applications for improving healthcare management and patient outcomes.

Author : Davide Ceolin,Tommaso Caselli,Marina Tulin
Publisher : Springer Nature
Page : 204 pages
File Size : 50,7 Mb
Release : 2023-12-15
Category : Computers
ISBN : 9783031478963

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Disinformation in Open Online Media by Davide Ceolin,Tommaso Caselli,Marina Tulin Pdf

This book constitutes the refereed proceedings of the 5th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2023, which was held in Amsterdam, The Netherlands, during November 21–22, 2023. The 13 full papers presented in this book were carefully reviewed and selected from 19 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large language models, generative AI, and multi-modal embeddings.

Author : Sandeep Kumar,Harish Sharma,K. Balachandran,Joong Hoon Kim,Jagdish Chand Bansal
Publisher : Springer Nature
Page : 836 pages
File Size : 54,9 Mb
Release : 2023-03-11
Category : Technology & Engineering
ISBN : 9789811992254

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Third Congress on Intelligent Systems by Sandeep Kumar,Harish Sharma,K. Balachandran,Joong Hoon Kim,Jagdish Chand Bansal Pdf

This book is a collection of selected papers presented at the Third Congress on Intelligent Systems (CIS 2022), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 5–6, 2022. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.

Author : Seyed Mostafa Kia,Hassan Mohy-ud-Din,Ahmed Abdulkadir,Cher Bass,Mohamad Habes,Jane Maryam Rondina,Chantal Tax,Hongzhi Wang,Thomas Wolfers,Saima Rathore,Madhura Ingalhalikar
Publisher : Springer Nature
Page : 319 pages
File Size : 55,6 Mb
Release : 2020-12-30
Category : Computers
ISBN : 9783030668433

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Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology by Seyed Mostafa Kia,Hassan Mohy-ud-Din,Ahmed Abdulkadir,Cher Bass,Mohamad Habes,Jane Maryam Rondina,Chantal Tax,Hongzhi Wang,Thomas Wolfers,Saima Rathore,Madhura Ingalhalikar Pdf

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.* For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging. For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience. *The workshops were held virtually due to the COVID-19 pandemic.