High Performance Computing, Smart Devices and Networks : Select Proceedings of CHSN 2022 / Ruchika Malhotra, L. Sumalatha, S. M. Warusia Yassin, Ripon Patgiri, Naresh Babu Muppalaneni
This book comprises the proceedings of the 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2022). This book highlights high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers in this volume are peer-reviewed by experts in related areas. The book will serve as a valuable reference resource for academics and researchers across the globe.
| Medienart: |
Buch |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
Singapore: Springer Verlag, Singapore ; 2024 |
| Ausgabe: |
1st ed. 2024 |
| Reihe: |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
Malhotra, Ruchika [HerausgeberIn] |
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| Links: |
Cover [lizenzpflichtig] |
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| ISBN: |
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| Umfang: |
572 Seiten |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
1871890527 |
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| 245 | 1 | 0 | |a High Performance Computing, Smart Devices and Networks |b Select Proceedings of CHSN 2022 |c Ruchika Malhotra, L. Sumalatha, S. M. Warusia Yassin, Ripon Patgiri, Naresh Babu Muppalaneni |
| 250 | |a 1st ed. 2024 | ||
| 264 | 1 | |a Singapore |b Springer Verlag, Singapore |c 2024 | |
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| 490 | 0 | |a Lecture Notes in Electrical Engineering | |
| 505 | 8 | 0 | |a Analysis of Prevalence of Flat Foot in Primary School Children.- The development of advanced deep learning-based EoR Signal separation techniques.- An Integrated Deep Learning Deepfakes Detection Method (IDL-DDM).- Melanoma Detection Using Convolutional Neural Networks.- Reinforcement Learning Based Spectrum Sensing And Resource Allocation In WSN-IoT Smart Applications.- Planning and Construction of a Quantum Model of the SHA-1 Algorithm Using IBM's Qiskit.- Machine Learning Based Path-loss Estimation Model for a 2.4 GHz ZigBee Network.- Heart Device for expectation of coronary illness utilizing Internet of Things.- An Extensive Study of Frequent Mining Algorithms for Colossal Patterns.- A Review Paper On Progressive Approach To Reduce Context Switching in Round Robin Scheduling Algorithm.- Transformer model for human activity recognition using IoT wearables.- Design and Development of a Chatbot for Personalized Learning in Higher Education.- Performance Evaluation of Concentric Hexagonal Array for Smart antenna applications.- Vegetation Change Detection of Multispectral Satellite Images Using Remote Sensing.- Performance evaluation of neural networks based virtual machine placement algorithm for server consolidation in cloud data centers.- Artificial Neural Network Based Fault Classification and Location Identification in Over Head Transmission Lines.- E-learning paradigm in Cloud computing and pertinent challenges in models used for cloud deployment.- Parkinson's Disease Detection: Comparative Study Using Different Machine Learning Algorithms.- Implementation of Blockchain in Automotive Industry to Secure Connected Vehicle Data: Study and Analysis.- A Study of Comparison Between YOLOv5 and YOLOv7 for Detection of Cracks in Concrete Structures.- Machine Learning-Based Identification as well as Classification of Functional and Non-functional Requirements.- Expiry Date Detection on Product Packages with the Help of a Generalized Framework Using Fully Convolutional Networks.- Fake News Detection in Dravidian Languages using Transformer Models.- A Review on Artificial Intelligence Techniques for Multilingual SMS Spam detection.- Fusion of LBP and Median LBP for Dominant Region based Multimodal Recognition using Imperfect Face and Gait Cues. |
| 520 | |a This book comprises the proceedings of the 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2022). This book highlights high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers in this volume are peer-reviewed by experts in related areas. The book will serve as a valuable reference resource for academics and researchers across the globe | ||
| 650 | 4 | |a Artificial intelligence | |
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| 650 | 4 | |a COMPUTERS / Artificial Intelligence | |
| 650 | 4 | |a COMPUTERS / Networking / General | |
| 650 | 4 | |a COMPUTERS / Programming / Systems Analysis & Design | |
| 650 | 4 | |a Computer hardware | |
| 650 | 4 | |a Computer networking & communications | |
| 650 | 4 | |a Computernetzwerke und maschinelle Kommunikation | |
| 650 | 4 | |a Künstliche Intelligenz | |
| 650 | 4 | |a Systemanalyse und -design | |
| 650 | 4 | |a Systems analysis & design | |
| 650 | 4 | |a Vernetzte smarte Technologien | |
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| 700 | 1 | |a Muppalaneni, Naresh Babu |e herausgeberin |4 edt | |
| 700 | 1 | |a Patgiri, Ripon |e herausgeberin |4 edt | |
| 700 | 1 | |a Sumalatha, L. |e herausgeberin |4 edt | |
| 700 | 1 | |a Yassin, S. M. Warusia |e herausgeberin |4 edt | |
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