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| 001 | 393985 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102123045.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220917s2022 si | s |||| 0|eng d | ||
| 020 | _a9789811928284 | ||
| 024 | 7 |
_a10.1007/978-981-19-2828-4 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 245 | 1 | 0 |
_aProceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication _bMARC 2021 _cedited by Anuradha Tomar, Hasmat Malik, Pramod Kumar, Atif Iqbal |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XV, 781 páginas) _b378 ilustraciones, 293 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aLecture Notes in Electrical Engineering _x1876-1119 _v915 |
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| 505 | 0 | _aA deep drive into knowledge management for improv-ing software process and product: Visions and Research Directions -- An Area and Delay Efficient Approximate Hybrid Adder for VLSI Circuit Designs -- Health Care System with IoT Wireless Sensor Network -- Comparative Analysis of Face Mask Detection Model -- Analytical Approach towards Face Mask Detection using Artificial Intelligence Techniques -- Kubernetes and Docker the Star Duo of Container Culture -- A Robust Gender Identification System for Speaker Recognition using Linear Discriminant Analysis Stepwise Dimension Reduction -- Parallel Agglomerative Hierarchical Clustering algorithm implementation with Hadoop Map-reduce -- Authentication and key update in Satellite communication -- Intelligent Approaches for Disease Diagnosis, Prevention and Treatment -- Review of Sentiment Analysis on Covid19 and Lockdown Twitter Data: Novel Techniques -- Supervised Machine Learning approach for Crack Detection in Digital Images -- The use of LSTM Models for Water Demand forecasting and analysis -- A Genetic Algorithm Framework to Solve Two-Dimensional Maze Problem -- A Bibliometric Analysis of Anomaly Detection for IoT Enabled Smart Cities -- A Comprehensive Performance Evaluation of Novel Big Data Log Analytic Framework -- Polarities Inconsistency of MOOC Courses Reviews Based on Users and Sentiment Analysis Methods -- Forest Fire Detection and Prevention System using IoT -- Sustainable IT And Energy Management For Metropolis Substructure Expansion -- Data classification using various machine learning algorithms -- A survey of the workload forecasting methods in cloud computing -- Web Usage Mining Cluster Simulation Using K-Means and Fuzzy Approach -- Reduction of IoT security vulnerabilities using Machine learning algorithm -- A Novel Voltage Level-Up shifter Design for Power Efficient Methods Using Dual Current Mirror Technique -- Efficient Cloud Orchestration Services in Computing -- Efficient Data Aggregation in Wireless Sensor Network Cluster Based Solution -- A Greedy Jellyfish Search Optimization Algorithm. | |
| 520 | _aThis book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2021), held in Krishna Engineering College, Ghaziabad, India, during 10 - 11 December, 2021. This book discusses key concepts, challenges and potential solutions in connection with established and emerging topics in advanced computing, renewable energy and network communications. | ||
| 700 | 1 |
_aTomar, Anuradha _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aMalik, Hasmat _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aKumar, Pramod _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aIqbal, Atif _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9789811928277 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811928291 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811928307 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-2828-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Computer_2022 | ||
| 999 |
_c393985 _d393985 |
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