Автор: Singh Mayank, Tyagi Vipin, Gupta P. K. Название: Advances in Computing and Data Sciences: 5th International Conference, Icacds 2021, Nashik, India, April 23-24, 2021, Revised Selected Papers, Part I ISBN: 3030814610 ISBN-13(EAN): 9783030814618 Издательство: Springer Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An Energy-Efficient Hybrid Hierarchical Clustering Algorithm for Wireless Sensor Devices in IoT.- Fund Utilization under Parliament Local Development Scheme: Machine Learning base Approach.- Implementing Automatic Ontology Generation for the New Zealand Open Government Data: An Evaluative Approach.- Blockchain based Framework to Maintain Chain of Custody (CoC) in a Forensic Investigation. - A light SRGAN for Up-Scaling of Low Resolution and High Latency Images.- Energy Efficient Clustering Routing Protocol and ACO Algorithm in WSN.- Efficient Social Distancing Detection using Object Detection and Triangle Similarity.- Explaining a Black-Box Sentiment Analysis Model with Local Interpretable Model Diagnostics Explanation (LIME).- Spelling Checking and Error Corrector System for Marathi Language Text using Minimum Edit Distance Algorithm.- A Study on Morphological Analyser for Indian Languages: A Literature Perspective.- Cyber Safety Against Social Media Abusing.- Predictive Rood Pattern Search for Efficient Video Compression.- An Effective Approach For Classifying Acute Lymbphoblastic Luekemia Using Hybrid Hierarchial Classifiers.- Abnormal Blood Vessels Segmentation for Proliferative Diabetic Retinopathy Screening Using Convolutional Neural Network. - Predictive Programmatic Classification Model to Improve Ad-Campaign Click Through Rate.- Live stream processing techniques to assist unmanned, regulated railway crossings.- Most Significant Bit-Plane based Local Ternary Pattern for Biomedical Image Retrieval.- Facial Monitoring Using Gradient Based Approach.- Overlapped Circular Convolution based feature extraction algorithm for classification of high dimensional datasets.- Binary Decision Tree Based Packet Queuing Schema for Next Generation Firewall.- Automatic Tabla Stroke Source Separation Using Machine Learning.- Classification of Immunity Booster Medicinal Plants using CNN: A Deep Learning Approach.- Machine Learning Model Interpretability in NLP and Computer Vision Applications.- Optimal Sizing and Siting of Multiple Dispersed Generation System using Metaheuristic Algorithm.- Design of a Fused Triple Convolutional Neural Network for Malware Detection: A Visual Classification Approach.- Mobile Agent Security using Lagrange Interpolation with Multilayer Perception Neural Network.- Performance Analysis of Channel coding techniques for 5G networks.- An Ensemble Learning Approach for Software Defect Prediction in Developing Quality Software Product.- A Study on Energy-Aware Virtual Machine Consolidation Policies in Cloud Data Centers using Cloudsim Toolkit.- Predicting Insomnia Using Multilayer Stacked Ensemble Model. - A novel encryption scheme based on Fully Homomorphic Encryption and RR-AES along with privacy preservation for vehicular network.- Key-Based Decoding for Coded Modulation Schemes in the presence of ISI.- Optimizing the Performance of KNN Classifier for Human Activity Recognition.- Face Recognition with Disguise and makeup Variations Using Image Processing and Machine Learning.- Attention-based deep Fusion Network for Retinal Lesion Segmentation in Fundus Image.- Visibility improvement in hazy conditions via a deep learning based image fusion approach.- Performance of Reinforcement Learning Simulation: x86 v/s ARM.- A Performance Study of Probabilistic Possibilistic Fuzzy C-Means Clustering Algorithm.- Optimized Random Forest Algorithm with Parameter Tuning for Predicting Heart Disease.- Machine Learning Based Techniques for Detection of Renal Calculi in Ultrasound Images.- Unsupervised Change Detection in Remote Sensing Images Using CNN Based Transfer Learning.- Biological Sequence Embedding based Classification for MERS and SARS.- Supply Path Optimization in Video Advertising Landscape.- Stack-based CNN Approach to Covid-19 Detection.- Performance Analysis of Various Classifiers for Social Intimidating Activities Detection.- Technique for Enhancing the efficiency and security of lightweight IoT
Автор: Singh Название: Advances in Computing and Data Sciences ISBN: 3031126408 ISBN-13(EAN): 9783031126406 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The two-volume proceedings CCIS 1613 + 1614 constitute revised selected papers from the 6th International Conference on Advances in Computing and Data Sciences, ICACDS 2022, which was held in Kurnool, India in April 2022. The total of 69 full papers presented in the proceedings was carefully reviewed and selected from 411 submissions. The papers focus on advances of next generation computing technologies in the areas of advanced computing and data sciences.
Автор: Auhood Alfaries; Hanan Mengash; Ansar Yasar; Elhad Название: Advances in Data Science, Cyber Security and IT Applications ISBN: 3030363678 ISBN-13(EAN): 9783030363673 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the First International Conference on Intelligent Cloud Computing, ICC 2019, held in Riyadh, Saudi Arabia, in December 2019.
The two-volume set presents 53 full papers, which were carefully reviewed and selected from 174 submissions. The papers are organized in topical sections on Cyber Security; Data Science; Information Technology and Applications; Network and IoT.
Автор: Janmenjoy Nayak; Ajith Abraham; B. Murali Krishna; Название: Soft Computing in Data Analytics ISBN: 9811305137 ISBN-13(EAN): 9789811305139 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The volume contains original research findings, exchange of ideas and dissemination of innovative, practical development experiences in different fields of soft and advance computing. It provides insights into the International Conference on Soft Computing in Data Analytics (SCDA). It also concentrates on both theory and practices from around the world in all the areas of related disciplines of soft computing. The book provides rapid dissemination of important results in soft computing technologies, a fusion of research in fuzzy logic, evolutionary computations, neural science and neural network systems and chaos theory and chaotic systems, swarm based algorithms, etc. The book aims to cater the postgraduate students and researchers working in the discipline of computer science and engineering along with other engineering branches.
This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems.
Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications.
Tentative Table of Contents/Topic Coverage:?
- Neural Computation
- Evolutionary Computing Methods
- Neuroscience driven AI Inspired Algorithms
- Biological System based algorithms
- Hybrid and Intelligent Computing Algorithms
- Application of Natural Computing
- Review and State of art analysis of Optimization algorithms
- Molecular and Quantum computing applications
- Swarm Intelligence
- Population based algorithm and other optimizations
Автор: Neha Sharma; Amlan Chakrabarti; Valentina Emilia Название: Data Management, Analytics and Innovation ISBN: 9811556156 ISBN-13(EAN): 9789811556159 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Поставка под заказ. Описание: This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies.
Автор: Balas Название: Data Management, Analytics and Innovation ISBN: 9811312737 ISBN-13(EAN): 9789811312731 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The volume on Data Management, Analytics and Innovations presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies.
Автор: Singh Mayank, Gupta P. K., Tyagi Vipin Название: Advances in Computing and Data Sciences: 4th International Conference, Icacds 2020, Valletta, Malta, April 24-25, 2020, Revised Selected Papers ISBN: 981156633X ISBN-13(EAN): 9789811566332 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the post-conference proceedings of the 4th International Conference on Advances in Computing and Data Sciences, ICACDS 2020, held in Valletta, Malta, in April 2020.*The 46 full papers were carefully reviewed and selected from 354 submissions.
Автор: Mayank Singh; P.K. Gupta; Vipin Tyagi; Jan Flusser Название: Advances in Computing and Data Sciences ISBN: 9811399417 ISBN-13(EAN): 9789811399411 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This two-volume set (CCIS 1045 and CCIS 1046) constitutes the refereed proceedings of the Third International Conference on Advances in Computing and Data Sciences, ICACDS 2019, held in Ghaziabad, India, in April 2019.
The 112 full papers were carefully reviewed and selected from 621 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations.
Автор: Kalita Название: Recent Developments in Machine Learning and Data Analytics ISBN: 9811312796 ISBN-13(EAN): 9789811312793 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents high-quality papers from an international forum for research on computational approaches to learning. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted.
Автор: Peter J. Dinesh, Fernandes Steven L., Alavi Amir H. Название: Intelligence in Big Data Technologies--Beyond the Hype: Proceedings of Icbdcc 2019 ISBN: 9811552843 ISBN-13(EAN): 9789811552847 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc.
Автор: J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Название: Deep Learning Techniques and Optimization Strategies in Big Data Analytics ISBN: 1799811921 ISBN-13(EAN): 9781799811923 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 239310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.
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