Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (XXVIII, 590 p. 296 illus., 218 illus. in color)

Edition: 1st ed. 2021

ISBN: 9789811631535

Series Statement: Lecture Notes in Networks and Systems 248

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1631-52-8

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1631-54-2

Language: English

Keywords: Congressos ; Llibres electrònics

DOI: 10.1007/978-981-16-3153-5

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XXXII, 626 Seiten)

ISBN: 9783030335960

Series Statement: Intelligent Systems Reference Library 174

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-33595-3

Language: English

Keywords: Internet der Dinge ; Echtzeitsystem ; Computersicherheit

DOI: 10.1007/978-3-030-33596-0

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XVIII, 478 p. 266 illus., 180 illus. in color. , online resource.

Edition: 1st ed. 2020.

ISBN: 9783030385019

Series Statement: Learning and Analytics in Intelligent Systems, 9

Content: This book discusses fundamental and high-level concepts relating to intelligent computing and communications in the context of distributed computing, big data, high performance computing and the Internet of Things. It is becoming increasingly important to develop adaptive, intelligent, computing-centric, energy-aware, secure and privacy-aware mechanisms in high-performance computing and IoT applications. Serving as a useful guide for researchers and practitioners working in the field of information technology and computer science, the book also appeals to beginners wanting to learn more about the better computing paradigm. In addition, it provides a platform for researchers, engineers, academics and industry professionals from around the globe to share their research findings. .

Note: Chapter 1: Brexit Twitter Sentiment Analysis: Changing Opinions about Brexit and UK Politicians -- Chapter 2: A Clustering Algorithm for Multi-density Datasets -- Chapter 3: Generate a New Types of Fuzzy Ψi-operator -- Chapter 4: Programs Features Clustering to find Optimization Sequence using Genetic algorithm -- Chapter 5: Complex Event Processing Based Analysis of Cassini–Huygens Interplanetary Dataset -- Chapter 6: Integrating OpenMTC framework into oneM2M Architecture for a Secure IoT Environment.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783030385002

Additional Edition: Printed edition: ISBN 9783030385026

Additional Edition: Printed edition: ISBN 9783030385033

Language: English

DOI: 10.1007/978-3-030-38501-9

URL: https://doi.org/10.1007/978-3-030-38501-9

URL: Volltext  (URL des Erstveröffentlichers)

URL: Buchcover

UID:

Format: XXXIII, 801 p. 426 illus., 258 illus. in color. , online resource.

Edition: 1st ed. 2020.

ISBN: 9789811532849

Series Statement: Lecture Notes in Networks and Systems, 118

Content: This book covers both basic and high-level concepts relating to the intelligent computing paradigm and data sciences in the context of distributed computing, big data, data sciences, high-performance computing and Internet of Things. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware systems in high-performance computing and IoT applications. In this context, the book serves as a useful guide for industry practitioners, and also offers beginners a comprehensive introduction to basic and advanced areas of intelligent computing. Further, it provides a platform for researchers, engineers, academics and industrial professionals around the globe to showcase their recent research concerning recent trends. Presenting novel ideas and stimulating interesting discussions, the book appeals to researchers and practitioners working in the field of information technology and computer science.

Note: Comprehensive Guide to Implementation of Data Warehouse in Education -- Computational Biology Tool Towards Studying the Interaction Between Azadirachtin Plant Compound with Cervical Cancer Proteins -- Intelligent Agent Based Organization For Studying the Big Five Personality Traits -- Automatic Pruning of Rules Through Multi-Objective Optimization - A Case Study With a Multi-Objective Cultural Algorithm -- Knowledge Genesis And Dissemination: Impact On Performance In Information Technology Services -- Artificial Intelligence Based Load Balancing In Cloud Computing Environment: A Study -- Implementation of Statistical Data Analytics in Data Science Life Cycle -- A Big Data Analytics-Based Design for Viable Evolution of Retail Sector -- Document Content Analysis Based on Random Forest Algorithm -- Sensing The Prostatectomy in Neuroendocrine Metastatic Active Surveillance in Data Mining Techniques -- Work Load Forecasting Based On Big Data Characteristics In Cloud Systems -- Phrase Extraction Using Pattern Based Bootstrapping Approach -- IOT Based Trash Collection Bin Using Arduino.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9789811532832

Additional Edition: Printed edition: ISBN 9789811532856

Language: English

DOI: 10.1007/978-981-15-3284-9

URL: https://doi.org/10.1007/978-981-15-3284-9

URL: Volltext  (URL des Erstveröffentlichers)

URL: Buchcover

UID:

Format: XXI, 463 p. 237 illus., 176 illus. in color. , online resource.

Edition: 1st ed. 2021.

ISBN: 9783030654078

Series Statement: Learning and Analytics in Intelligent Systems, 21

Content: This book aims to bring together Researchers, Scientists, Engineers, Scholars and Students in the areas of computer engineering and information technology, and provides a forum for the dissemination of original research results, new ideas, Research and development, practical experiments, which concentrate on both theory and practices, for the benefit of the society. The book also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Computer Science and Information Technology in the context of Distributed computing, Big data, High performance computing, Internet-of-Things, and digital pedagogy. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware mechanisms in high performance computing and IoT applications. This book aspires to convey researchers' experiences, to present excellent result analysis, future scopes, and challenges facing the field of computer science, information technology, telecommunication, and digital pedagogy. This book aims to attract researchers and practitioners who are working in Information Technology and Computer Science. This book is about basics and high level concepts regarding intelligent computing paradigm, communications, and digital learning process. The book serves as a useful guide for Undergraduates, Postgraduates and Research Scholar in the field of Computer Science, Information Technology, and Electronics Engineering. We believe that this volume not only presents novel and interesting ideas but also will stimulate interesting discussions from the participants and inspire new ideas.

Note: Chapter 1: Throat Microphone Speech Enhancement using Machine Learning Technique -- Chapter 2: Use of Artificial Nueral Network to Predict the Yield of Sinter Plant as a Function of Production Parameters -- Chapter 3: An Approach to Self-Reliant Smart Road using Piezoelectric Effect and Sensor Nodes -- Chapter 4: Using static and dynamic image maps built by Graphic Interchange Format (GIF) and Geographic Information System -- Chapter 5: (GIS) for project based learning air pollution in schools in Hanoi, Vietnam -- Chapter 6: Prediction of Autism Spectrum Disorder Using Feature Engineering for Machine Learning Classifiers -- Chapter 7: A Novel and Smart Parking System for the University Parking System -- Chapter 8: Role of M-Cord Computing Architecture for Over the Top (OTT) Services and Applications -- Chapter 9: Application of virtual reality and augmented reality technology for teaching Biology at High School in Vietnam -- Chapter 10: Internet of Things Based Gesture Controlled Wheel Chair for Physically Disabled -- Chapter 11: An Adaptive Crack Identification Scheme Using Enhanced Segmentation and Feature Extraction for Electrical discharge machining of Inconel X750.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783030654061

Additional Edition: Printed edition: ISBN 9783030654085

Additional Edition: Printed edition: ISBN 9783030654092

Language: English

DOI: 10.1007/978-3-030-65407-8

URL: https://doi.org/10.1007/978-3-030-65407-8

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XX, 765 p. 374 illus., 295 illus. in color. , online resource.

Edition: 1st ed. 2022.

ISBN: 9789811927195

Series Statement: Smart Innovation, Systems and Technologies, 303

Content: This book is a collection of best selected research papers presented at 7th International Conference on Computing in Engineering and Technology (ICCET 2022), organized by Dr. Babasaheb Ambedkar Technological University, Lonere, India, during February 12 - 13, 2022. Focusing on frontier topics and next-generation technologies, it presents original and innovative research from academics, scientists, students, and engineers alike. The theme of the conference is Applied Information Processing System.

Note: Part 1: Applied Computations using Deep and Machine Learning -- Classification of Traffic Signs Using Deep Learning-based Approach for Smart Cities -- Sentimental analysis of twitter data on online learning during unlock phase of COVID-19 -- Bonafide Satellite Landslide Image Detection Using Deep Learning -- Deep Learning Approach for Predicting the Price of Cryptocurrencies -- Deep Learning and Super-hybrid Textual Feature based Multi-category Thematic Classifier for Punjabi Poetry -- Attention based Deep Learning Techniques for Question Classification in Question Answering Systems -- Optimized Fuzzy Hypersphere Neural Network with Online Adaptation capability -- Built-Up Area Extraction on Multispectral Satellite Data using Simple CNN -- Framework of CNN Architecture for Fashion Image Classification -- A novel CNN Framework for Early-Stage Detection of Blindness in Diabetic Patients -- Design and Development of Loan Predictor Using Machine Learning -- An Analysis of document summarization for educational data classification using NLP with machine learning techniques -- Detection of Disease in Plants with Android Integration using Machine Learning -- Analysis of Post-flood Impacts on Sentinel-2 Data Using Non-Parametric Machine Learning Classifiers: A Case Study from Bihar Floods -- Performance Analysis of Quantitative Software Vulnerability Prioritization Techniques -- Accessibility and Performance Evaluation of Healthcare and E-Learning Sites in India: A Comparative Study Using TAW and GTMetrix -- Performance analysis of Cardiovascular diseases using Machine Learning -- A Deep Learning Paradigm for Computer Aided Diagnosis of Emphysema from Lung HRCT Images -- Deep learning Convolution Neural Network for Tomato Leaves Disease Detection by Inception -- Sarcasm Detection in Hindi-English Code-mixed Tweets using Machine Learning Algorithms -- Efficient Automated Disease Diagnosis Using Machine Learning Models -- Plant Disease Classification using Transfer Learning -- Performance Assessmentfor Heart-Disease Prediction using Machine Learning Algorithms -- Human Behavior Analysis: Applications and Machine Learning Algorithms -- Advancement of deep learning and its substantial impact on the diagnosis of COVID-19 cases -- Apple Leaf Disease Detection and Classification using CNN Models -- Part 2: Intelligent systems and Machine vision -- Textural and Statistical Feature Extraction from segmented Hard Exudates for Diabetic Retinopathy Classification -- Detection of Epileptic using Wavelet packetsub-bands from EEG Signals -- A New Paradigm for Healthcare System Using Emerging Technologies -- Brain Tumour Detection Using UNet based Semantic Segmentation Scheme -- Alzheimer Disease Prediction using Learning Algorithms -- Digital Learning in developing Asia in the COVID-19 pandemic: A Statistical Approach -- Real-Time Detection of Face Mask and Social Distancing -- Porn Image Forensics: Image Classification, Forgery Detection and Localization -- Parallel Image Processing for Liquid Level Detection -- Single Image Dehazing Techniques for Different Types of Hazy Images -- Predicting 3D Model of Images for Augmented Reality Applications -- Region of Interest using Viola-Jones Algorithm for Video Steganography -- Face Expression Recognition using SVM and KNN classifier with HOG features -- Computer Vision Analysis of BRIEF and ORB Feature Detection Algorithms -- The state of the art Text Summarization Techniques -- Ensemble Mechanism for Decision Support Information System for Water Source Evaluation and Management in Narava Basin, Visakhapatnam -- Part 3: Applied Information Processing Techniques -- Analysis of Feature Selection Methods for UKM-IDS20 Dataset -- An Intelligent Recommendation System using Market Segmentation -- Development and Implementation of Tweet Stream Summarization Technique for Pernicious Tweet Detection -- State of the art on Twitter Spam Detection -- VM Anti-Forensics: Detecting File Wiping usingFile System Journals -- SelectGoREATech: Selection of Goal-Oriented Requirements Elicitation and Analysis Techniques -- Securing Blood Distribution Systems UsingBlockchain -- Distributed Data Register Technology as the Main Component of Economic Decentralization -- Performance Analysis of Scalable Transactions in Distributed Data Store -- Cyber-attackPrevention based on Modified LVQ in SDN using Neural Networks -- An Optimized Cloud-Based Solution for Small-Scale Non-IT Business Firms: An Experimental Analysis -- Sentiment of Primary Features in Aspect Based Sentiment Analysis of Hindi Reviews -- Part 4: Cloud Computing and Wireless Sensor Networks -- Spatiotemporal based Power Control Scheme for D2D Communication in 5G IoT Networks with QoS Constraints -- Cloud Computing Based Workload Prediction Using Cluster Machine Learning Approach. Sleeping Node Scheduling Method Based Redundant Node Energy Reduction inWireless Sensor Networks -- A Hybrid RSS/ToA Based Situational Awareness Technique for Indoor Massive MIMO Wireless System -- A Perceptive Node Transposition and Network Reformation in Wireless Sensor Network -- Energy Efficient Routing Protocol for Multisink Wireless Sensor Networks -- Secure Data Aggregation Model for People Centric Sensing Networks -- A smart energy optimization and collision avoidance routing strategy for IoT systems in the WSN domain -- State of the art on Cloud-Information Flow Control -- Service Placement in Edge Computing with AI based Techniques: A Systematic Review -- Part 5: ICT in Education and Research -- Empathic Chatbot: Emotional Astuteness for Mental Health Well-being -- ICT in Education: A Comparative Analysis of Pre-Covid and Post-Covid Era -- Credit point based Voluntary work Analysis: An integrated model based on proper waste disposal, fitness contribution and social work index -- The State of the art Techniques in Recommendation Systems -- An Analysis of E-Commerce Identification Using Sentimental Analysis: A Survey -- Remote Employee Monitoring & Management.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789811927188

Additional Edition: Printed edition: ISBN 9789811927201

Additional Edition: Printed edition: ISBN 9789811927218

Language: English

DOI: 10.1007/978-981-19-2719-5

URL: https://doi.org/10.1007/978-981-19-2719-5

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XVIII, 576 p. 244 illus., 174 illus. in color. , online resource.

Edition: 1st ed. 2022.

ISBN: 9789811901829

Series Statement: Advances in Intelligent Systems and Computing, 1422

Content: The conference proceeding of ICMMCS 2021 presents most recent scientific and technological advances in the fields of engineering mathematics and computational science to strengthen the links in the scientific community. It is a collection of high-quality, peer-reviewed research papers presented at the Second International Conference on Mathematical Modeling and Computational Science (ICMMCS 2021), held online during October 29-30, 2021. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high-performance computing, network and device security, Internet of Things (IoT).

Note: A Study About [(γ,γ')]α -Regular Spaces, Normal Spaces with (γ,γ') -Open sets and α(γ,γ')- Open sets -- The Role of Harvesting in a Food Chain Model and its Stability Analysis -- Inventory Queuing System Study Using Simulation and Birth-Death Process -- Steady State Analysis of Bulk Queueing System with Renovation, Prolonged Vacation and Tune-up/shutdown Times -- Estimation of Public Compliance with Covid-19 Prevention Standard Operating Procedures through a Mathematical Model -- Campus Recruitment Cost Analysis: A Roadmap for HR Managers -- Certain Types of Domination In Nover Top Graphs -- Analysis and Classification of Physiological Signals for Emotion Detection -- Wiener and Zagreb indices for Helm and Web Graph -- Disease Classification using Particle Swarm Optimization with Fuzzy Neural Network.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789811901812

Additional Edition: Printed edition: ISBN 9789811901836

Language: English

DOI: 10.1007/978-981-19-0182-9

URL: https://doi.org/10.1007/978-981-19-0182-9

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XII, 225 p. 115 illus. , online resource.

ISBN: 9783319723297

Series Statement: Lecture Notes in Computer Science, 10689

Content: This book constitutes the proceedings of the 4th International Conference on Internet of Vehicles, IOV 2017, held in Kanazawa, Japan, in November 2017.  The 19 papers presented in this volume were carefully reviewed and selected from 40 submissions. They deal with advances in the state of the art and practice of the IoV architectures, protocols, services and applications, as well as identifying emerging research topics and define the future directions of Internet of Vehicles. .

Note: Vehicular Communications: Standards and Challenges -- Helmet-Mounted Display System of Motorcyclist with Collision Detecting and Navigation -- Metaheuristic Algorithm of Multi-passengers Routing Path for Ride-sharing Vehicle -- A rush-hour vehicles scheduling strategy in online car-sharing system based on urban trajectory data analysis -- Accurate Traffic Flow Estimation in Urban Roads with Considering the Traffic Signals -- Performance Analysis and Modeling of Central Navigation Cloud -- Optimal Power Allocation for Multi-Group Multicast under Sensing-Based Spectrum Sharing Cognitive Radio Networks -- A New Routing Protocol Based on OLSR Designed for UANET Maritime Research and Rescue -- Multi-Task Oriented Participant Recruitment for Vehicular Crowdsensing -- Driving Fatigue Detecting Method Based on Temperature Insensitive ECG Parameters -- Communication Quality in Anticipatory Vehicle Swarms: A Simulation-Based Model -- A Cyber-Physical Systems Approach to Optimizing Internet of Vehicles Architecture with Rapidly Evolving Technology -- Research on Finding Base Stations Related to a Specific Region -- Intelligent Computing for Vehicle Form Design: A Case Study of Sand Making Machine -- An Ad-Hoc Mesh Network for Flight-deck Interval Management of Airplanes -- TLS for Cooperative ITS Services -- Distributed Simulation Platform for Autonomous Driving -- Toward Fog-Based Event-Driven Services for Internet of Vehicles: Design and Evaluation -- Theoretical Proving of Optimal Communication Radius Against Traffic Congestion in Simplified.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783319723280

Language: English

Subjects: Computer Science , Engineering

Keywords: Konferenzschrift ; Konferenzschrift

DOI: 10.1007/978-3-319-72329-7

URL: http://dx.doi.org/10.1007/978-3-319-72329-7

URL: Volltext  (URL des Erstveröffentlichers)

URL: Volltext  (URL des Erstveröffentlichers)

URL: Volltext  (lizenzpflichtig)

UID:

Format: XI, 235 p. 91 illus., 72 illus. in color. , online resource.

Edition: 1st ed. 2024.

ISBN: 9789819715183

Series Statement: Water Informatics for Water Resource Management,

Content: This book provides a clear view of various applications for water resource management using different state-of-the-art technologies such as artificial intelligence, IoT, and cellular automata. The book also shows the analytical part of surface water as well as groundwater bodies to control pollution and save ecology. It gives an idea about the collection of data for disaster management such as flood prediction and flood inoculation. The book provides the fundamental aspects of various computational or simulation methods for surface and underground water body detection, prediction of non-biodegradable elements in water bodies, water potability, and predictions of natural disasters like floods. The book summarizes different aspects of water body challenges and the possible solutions proposed using new technologies. The book opens up a future research direction of dealing with various challenges and solutions based on emerging technologies. This book comes up with a direction for the researchers interested in dealing with various aspects of water challenges and finding solutions using emerging technologies in the new era of modern computations. .

Note: An Analysis and Monitoring of Ground Water Quality and Disaster Management -- Presence of Non-biodegradable Polymer in the Hydro-logical Layers -- Applications of Elementary Cellular Automata for Water Informatics -- Identification of Water Potability using Machine Learning Techniques -- Soft Computing Techniques for Flood Prediction.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789819715176

Additional Edition: Printed edition: ISBN 9789819715190

Additional Edition: Printed edition: ISBN 9789819715206

Language: English

DOI: 10.1007/978-981-97-1518-3

URL: https://doi.org/10.1007/978-981-97-1518-3

URL: Volltext  (URL des Erstveröffentlichers)

URL: lizenzpflichtig

UID:

Format: 1 Online-Ressource (XVIII, 600 Seiten) , Illustrationen

ISBN: 9789811549175

Series Statement: Smart innovation, systems and technologies Volume 176

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-15-4916-8

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-15-4918-2

Language: English

DOI: 10.1007/978-981-15-4917-5

URL: Volltext  (URL des Erstveröffentlichers)

Author information: Peng, Sheng-Lung 1965-