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  • 1
    Online Resource
    Online Resource
    Smart Technologies for Sustainable and Resilient Ecosystems : 3rd EAI International Conference, Edge-IoT 2022, and 4th EAI International Conference, SmartGov 2022, Virtual Events, November 16-18, 2022, Proceedings (2023)
    Cham :Springer Nature Switzerland, | Cham :Springer.
    Details
    UID:
    edoccha_BV049032895
    Format: 1 Online-Ressource (XII, 177 p. 71 illus., 62 illus. in color).
    Edition: 1st ed. 2023
    ISBN: 978-3-031-35982-8
    Series Statement: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 510
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-35981-1
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-35983-5
    Language: English
    DOI: 10.1007/978-3-031-35982-8
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    Online Resource
    Online Resource
    Smart Technologies for Sustainable and Resilient Ecosystems : 3rd EAI International Conference, Edge-IoT 2022, and 4th EAI International Conference, SmartGov 2022, Virtual Events, November 16-18, 2022, Proceedings (2023)
    Cham :Springer Nature Switzerland, | Cham :Springer.
    Details
    UID:
    edocfu_BV049032895
    Format: 1 Online-Ressource (XII, 177 p. 71 illus., 62 illus. in color).
    Edition: 1st ed. 2023
    ISBN: 978-3-031-35982-8
    Series Statement: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 510
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-35981-1
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-35983-5
    Language: English
    DOI: 10.1007/978-3-031-35982-8
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 3
    Online Resource
    Online Resource
    Sentiment Analysis and Deep Learning : Proceedings of ICSADL 2022 (2023)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949420155602882
    Format: XVIII, 1014 p. 481 illus., 402 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789811954436
    Series Statement: Advances in Intelligent Systems and Computing, 1432
    Content: This book gathers selected papers presented at International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022), jointly organized by Tribhuvan University, Nepal and Prince of Songkla University, Thailand during 16 - 17 June, 2022. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes. .
    Note: Ranking roughly tourist destinations using BERT based semantic search -- Discerning the Application of Virtual Laboratory in Curriculum Transaction of Software Engineering Lab Course from the Lens of Critical Pedagogy -- Drought Prediction using Recurrent Neural Networks and Long Short-Term Memory model -- A Deep Learning Framework for Classification of Hyperspectral Images -- Improved Security on Mobile Payments Using IMEI Verification -- Analytics and Data Computing for the Development of the Concept Digitalization in Business and Economic Structures -- Smart Door Locking System using IoT -A Security for Railway Engine Pilots -- Designing and Implementing a Distributed Database for Microservices Cloud-Based Online Travel Portal -- A comparative study of a new customized bert for sentiment analysis -- Twitter Sentiment Analysis Using Naive Bayes Based Machine Learning Technique -- Rainfall Forecasting System Using Machine Learning Technique and IoT Technology for a Localized Region -- Infrastructure as Code (IaC): Insights on Various Platforms -- Breast Cancer Prediction using different Machine Learning Algorithm -- A Proposed System for Understanding the Consumer Opinion of a Product Using Sentiment Analysis -- Comparative study of Machine Learning and Deep learning for Fungi classification -- Personality as a predictor of Computer Science Students' Learning Motivation -- Prediction and analysis of liver disease using extreme learning machine -- Deep-learning based quality assurance of silicon detectors in Compact Muon Solenoid experiment -- An Effectual Analytics and Approach for Avoidance of Malware in Android using Deep Neural Networks -- A One-Stop Service Provider for Farmers Using Machine Learning -- Fuzzy Logic Based Control of SEPIC Converter for Vehicle to Grid Application -- Social media mining to detect mental health disorders using Machine learning -- Using Deep Learning Models for Crop and Weed Classification at Early Stage -- FaceMask detection and social distancing using Machine Learning with Haarcascade algorithm.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811954429
    Additional Edition: Printed edition: ISBN 9789811954443
    Language: English
    DOI: 10.1007/978-981-19-5443-6
    URL: https://doi.org/10.1007/978-981-19-5443-6
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 4
    Online Resource
    Online Resource
    Mobile Computing and Sustainable Informatics : Proceedings of ICMCSI 2022 (2022)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949335376602882
    Format: XVIII, 953 p. 424 illus., 348 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811920691
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies, 126
    Content: This book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2022) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during 27-28 January 2022. The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices, to personalized, embedded and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models and advanced informatics that supports the symbiosis of mobile computing and sustainable informatics.
    Note: Chapter 1. XGBoost Design by Multi-verse Optimiser: An Application for Network Intrusion Detection -- Chapter 2. Gateway based Congestion Avoidance using Two-Hop Node in Wireless Sensor Networks -- Chapter 3. Stroke Prediction System using Machine Learning Algorithm -- Chapter 4. A Comprehensive Survey on Multilingual Opinion Mining -- Chapter 5. Development Features and Principles of Blockchain Technologies and Real Options as the Main Components of the Digital Economy -- Chapter 6. Technical Efficiency Analysis of China's Telecommunication Infrastructure :A Copula-based Meta-Stochastic Frontier Model -- Chapter 7. ATM Security using IRIS Recognition -- Chapter 8. Reliable Data Acquisition by Master Slave Approach in Marine-IoT Environment for Logistics -- Chapter 9. Mobile Technology Acceptance of University Students: A Consolidated Approach -- Chapter 10. Multistage Intrusion Detection System using Machine Learning Algorithm -- Chapter 11. Modeling Global Solar Radiation using Machine Learning with Model Selection Approach: a Case Study at Tanzania -- Chapter 12. Plant Disease Detection using Transfer Learning with DL Model -- Chapter 13. Tagging Fake Profiles in Twitter using Machine Learning Approach -- Chapter 14. A Machine-Learning System to Classify Cybercrime -- Chapter 15. Analyses of Non-Linear Effects with DCS and HOA Performance for 4 X 4 WDM / DWDM System. etc.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811920684
    Additional Edition: Printed edition: ISBN 9789811920707
    Language: English
    DOI: 10.1007/978-981-19-2069-1
    URL: https://doi.org/10.1007/978-981-19-2069-1
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 5
    Online Resource
    Online Resource
    Mobile Computing and Sustainable Informatics : Proceedings of ICMCSI 2021 (2022)
    Singapore :Springer Singapore :
    Details
    UID:
    almahu_9949226764402882
    Format: XVIII, 875 p. 408 illus., 288 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811618666
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies, 68
    Content: This book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2021) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during 29-30 January 2021. The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices, to personalized, embedded and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models and advanced informatics that supports the symbiosis of mobile computing and sustainable informatics.
    Note: Chapter 1. Mitigating the Latency Induced Delay in IP Telephony through an Enhanced De-Jitter Buffer -- Chapter 2. A Cyber - Safety IoT Enabled Wearable Microstrip Antenna for X - Band applications -- Chapter 3. Keyword Recognition from EEG Signals on Smart Devices a Novel Approach -- Chapter 4. Security Analysis for Sybil Attack in Sensor Network using Compare and Match-Position Verification Method -- Chapter 5. Certain Strategic Study on Machine Learning based Graph Anomaly Detection -- Chapter 6. Machine Learning Perspective in VLSI Computer Aided Design at Different Abstraction Levels -- Chapter 7. A Practical Approach to Measure Data Center Efficiency using Power Usage Effectiveness -- Chapter 8. Advancing e-Government using Internet of Things -- Chapter 9. A New Network Forensic Investigation Process Model -- Chapter 10. MDTA : A New Approach of Supervised Machine Learning for Android Malware Detection And Threat Attribution using Behavioral Reports -- Chapter 11. Investigating the role of user Experience and Design in Recommender Systems: A Pragmatic Review -- Chapter 12. A Review on Intrusion Detection Approaches in Resource Constrained IoT Environment -- Chapter 13. The Future 5G Mobile Network Performance in Webservices with NDN Technology -- Chapter 14. Survey for Electroencephalography EEG signals Classification Approaches -- Chapter 15. Analysis of Road Accidents using Data Mining Paradigm.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811618659
    Additional Edition: Printed edition: ISBN 9789811618673
    Language: English
    DOI: 10.1007/978-981-16-1866-6
    URL: https://doi.org/10.1007/978-981-16-1866-6
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 6
    Online Resource
    Online Resource
    Sentimental Analysis and Deep Learning : Proceedings of ICSADL 2021 (2022)
    Singapore :Springer Singapore :
    Details
    UID:
    almahu_9949226661502882
    Format: XXXIII, 1030 p. 557 illus., 428 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811651571
    Series Statement: Advances in Intelligent Systems and Computing, 1408
    Content: This book gathers selected papers presented at the International Conference on Sentimental Analysis and Deep Learning (ICSADL 2021), jointly organized by Tribhuvan University, Nepal; Prince of Songkla University, Thailand; and Ejesra during June, 18-19, 2021. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes. Meanwhile, deep learning emerges as the revolutionary paradigm with its extensive data-driven representation learning architectures. This book discusses all theoretical aspects of sentimental analysis, deep learning and related topics.
    Note: Analysis of Healthcare Industry Using Machine Learning Approach: A Case Study in Bengaluru Region -- Dynamic Document Localization for Ecient Mining -- SentiSeries: A Trilogy of Customer Reviews, Sentiment Analysis and Time Series -- Video Summarization using Fully Convolutional Residual Dense Network -- An Efficient Deep Learning Approach for Detecting Pneumonia Using the Convolutional Neural Network -- QMCDS: Quantum Memory for Cloud Data Storage -- A Study towards Bangla Fake News Detection using Machine Learning and Deep Learning -- A Deep Learning Approach to Analyze the Propagation of Pandemic in America -- Graph Convolution Based Joint Learning of Rumour with Content, User Credibility, Propagation Context and Cognitive as well as Emotion Signals -- Deep Learning based Real Time Object Classification and Recognition using Supervised Learning Approach.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811651564
    Additional Edition: Printed edition: ISBN 9789811651588
    Language: English
    DOI: 10.1007/978-981-16-5157-1
    URL: https://doi.org/10.1007/978-981-16-5157-1
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 7
    Online Resource
    Online Resource
    Proceedings of Third International Conference on Sustainable Expert Systems : ICSES 2022 (2023)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949450150402882
    Format: XVIII, 1050 p. 513 illus., 416 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789811978746
    Series Statement: Lecture Notes in Networks and Systems, 587
    Content: This book features high-quality research papers presented at the 3rd International Conference on Sustainable Expert Systems (ICSES 2022), held in Nepal during September 9-10, 2022. The book focuses on the research information related to artificial intelligence, sustainability and expert systems applied in almost all the areas of industries, government sectors and educational institutions worldwide. The main thrust of the book is to publish the conference papers that deal with the design, implementation, development, testing and management of intelligent and sustainable expert systems and also to provide both theoretical and practical guidelines for the deployment of these systems.
    Note: Chapter 1. Design, Development, and Implementation of Software Engineering Virtual Laboratory: A Boon to Computer Science and Engineering (CSE) Education during Covid-19 Pandemic -- Chapter 2. Political Communication and Election Result: Facebook Account Analysis Jambi Governor Candidates in the 2020 Regional Election -- Chapter 3. Estimating the intervals between Mount Etna eruptions -- Chapter 4. Sentiment Enhanced Smart Movie Recommendation System -- Chapter 5. A Machine Learning Model for Predictive Maintenance of a Stepper Motor using Digital Simulation Data -- Chapter 6. Impact of pollutants on temperature change and forecasting temperature of US cities -- Chapter 7. Hybrid Precoding schemes for mmWave massive MIMO systems - A Comprehensive survey -- Chapter 8. Optimized Web Service Composition Using Hybrid Evolutionary Algorithms -- Chapter 9. Organization Security Framework - A Defensive Mechanism -- Chapter 10. Trusty medicare: An online virtual care system -- Chapter 11. Blockchainbased Remote Construction Monitoring Using UAV in SITL Simulation -- Chapter 12. Papaya Diseases Detection using GLCM Feature Extraction and Hyperparatuning of Machine Learning Approach -- Chapter 13. Image Forgery and Image Tampering Detection Techniques: A Review -- Chapter 14. Low Voltage Ride Through for a Three phase Grid Integrated Single- Stage Inverter-Based Photo Voltaic System using Fuzzy Logic Control -- Chapter 15. Automated Detection of Malaria Parasite from Giemsa - Stained Thin Blood Smear Images. etc.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811978739
    Additional Edition: Printed edition: ISBN 9789811978753
    Language: English
    DOI: 10.1007/978-981-19-7874-6
    URL: https://doi.org/10.1007/978-981-19-7874-6
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 8
    Online Resource
    Online Resource
    Proceedings of Second International Conference on Sustainable Expert Systems : ICSES 2021 (2022)
    Singapore :Springer Singapore :
    Details
    UID:
    almahu_9949255038602882
    Format: XXXIV, 909 p. 472 illus., 324 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811676574
    Series Statement: Lecture Notes in Networks and Systems, 351
    Content: This book features high-quality research papers presented at the 2nd International Conference on Sustainable Expert Systems (ICSES 2021), held in Nepal during September 17-18, 2021. The book focusses on the research information related to artificial intelligence, sustainability, and expert systems applied in almost all the areas of industries, government sectors, and educational institutions worldwide. The main thrust of the book is to publish the conference papers that deal with the design, implementation, development, testing, and management of intelligent and sustainable expert systems and also to provide both theoretical and practical guidelines for the deployment of these systems.
    Note: E-learning based Collaborative Learning Experience in the Education Paradigm -- Using Clean Architecture Principles to Improve the Design and Implementation of the Mobiles Online Platform -- Detection of Arrhythmia using Convolution Neural Networks -- The Hybrid Vision Transformer Approach for Hyperpigmentation Nail Disease Detection -- Covid19 Fake News Detection Using Glove and Bi-LSTM -- Combinatorial Test Perspective on Test Design of SDN Controllers.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811676567
    Additional Edition: Printed edition: ISBN 9789811676581
    Language: English
    DOI: 10.1007/978-981-16-7657-4
    URL: https://doi.org/10.1007/978-981-16-7657-4
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 9
    Online Resource
    Online Resource
    Mobile Computing and Sustainable Informatics : Proceedings of ICMCSI 2023 (2023)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949500605702882
    Format: XVI, 799 p. 383 illus., 289 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819908356
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies, 166
    Content: This book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2022) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during January 11-12, 2023. The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices to personalized, embedded, and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models, and advanced informatics that support the symbiosis of mobile computing and sustainable informatics.
    Note: Measuring the technical efficiency of Thai rubber export using the spatial stochastic frontier model under the BCG concept -- Analysis of Digital data Consumption of video streaming platforms during COVID-19 -- A Prototype of Wireless Power Transmission System Based on Arduino -- Short review on blockchain technology for smart city security -- Efficient Analysis of Sequences of Security Problems in Access Control Systems -- Artificial Intelligence in Agriculture: Machine Learning based Early Detection of Insects and Diseases with Environment and Substance Monitoring us-ing IoT -- Design Concepts for Mobile Computing Direction Finding Systems -- A Hybrid Machine Learning Model for Urban Mid- and Long-term Electricity Load Forecasting -- Optimizing Long Short-Term Memory by Improved Teacher Learning Based Optimization for Ethereum Price Forecasting -- A Sophisticated review on Open Verifiable Health Care system in Cloud -- Fuzzy Metadata Augmentation for Multimodal Data Classification -- Development of information accuracy control system -- MODELLING AN EFFICIENT APPROACH TO ANALYZE CLONE PHISHING AND PREDICT CYBER-CRIMES -- The Application of Mobile Phones to Enable Traffic Flow Optimisation.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819908349
    Additional Edition: Printed edition: ISBN 9789819908363
    Language: English
    DOI: 10.1007/978-981-99-0835-6
    URL: https://doi.org/10.1007/978-981-99-0835-6
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  • 10
    Online Resource
    Online Resource
    Intelligent Data Communication Technologies and Internet of Things : ICICI 2019 (2020)
    Cham :Springer International Publishing :
    Details
    UID:
    almahu_9948204162802882
    Format: XIX, 781 p. 488 illus., 379 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030340803
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies, 38
    Content: This book focuses on the emerging advances in distributed communication systems, big data, intelligent computing and Internet of Things, presenting state-of-the-art research in frameworks, algorithms, methodologies, techniques and applications associated with data engineering and wireless distributed communication technologies. In addition, it discusses potential topics like performance analysis, wireless communication networks, data security and privacy, human computer interaction, 5G Networks, and smart automated systems, which will provide insights for the evolving data communication technologies. In a nutshell, this proceedings book compiles novel and high-quality research that offers innovative solutions for communications in IoT networks.
    Note: Summarization of Research Publications Using Automatic Extraction -- Information Diffusion: Survey to Models and Approaches, a Way to Capture Online Social Networks -- Extended Fibonacci Series for Selection of Carrier Samples in Data Hiding and Extraction -- Design and Analysis of Wideband Decagon Microstrip Antenna -- Smart Monitoring for Waste Management Using Internet of Things -- Enhanced Scrambled Prime Key Encryption Using Chaos Theory and Steganography -- Bank Vault Security System Based on Infrared Radiation and GSM Technology -- A Data Security Scheme for the Secure Transmission of Images -- Biometric Authentication in Cloud -- Design and Development of an Internet of Things Based Test And Measuring Instrument -- Comparative Analysis of Deep Neural Networks for Crack Image Classification -- Forecast Solar Energy Using Artificial Neural Networks -- Biometric Image Encryption Based on Chaotic SineMap and Information Entropy -- Internet of Things Towards Smart Solar Grid Systems for Home Appliances.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783030340797
    Additional Edition: Printed edition: ISBN 9783030340810
    Language: English
    DOI: 10.1007/978-3-030-34080-3
    URL: https://doi.org/10.1007/978-3-030-34080-3
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