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_a10.1007/978-981-99-6690-5 _2doi |
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_aHigh Performance Computing, Smart Devices and Networks _b: Select Proceedings of CHSN 2022 _cedited by Ruchika Malhotra, L Sumalatha, S M Warusia Yassin, Ripon Patgiri, Naresh Babu Muppalaneni |
| 250 | _afirst edition 2024 | ||
| 264 | 1 |
_aSingapore _c2024 _bSpringer International Publishing |
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| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
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_aelectrónico _bc _2rdamedia |
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_aLecture Notes in Electrical Engineering _x1876-1119 ; _v1087 |
|
| 505 | 0 | _aAnalysis 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 | _aThis 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. | ||
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-6690-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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