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001 | EBC31063581 | ||
003 | MiAaPQ | ||
005 | 20240401104814.0 | ||
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008 | 240328s2023 xx o ||||0 eng d | ||
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_a9789464633146 _q(electronic bk.) |
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020 | _z9789464633139 | ||
035 | _a(MiAaPQ)EBC31063581 | ||
035 | _a(Au-PeEL)EBL31063581 | ||
040 |
_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ |
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050 | 4 | _aTK7885-7895 | |
100 | 1 | _aKiran Mai, C. | |
245 | 1 | 0 | _aProceedings of the Fourth International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2023). |
250 | _a1st ed. | ||
264 | 1 |
_aDordrecht : _bAtlantis Press (Zeger Karssen), _c2023. |
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264 | 4 | _c�2023. | |
300 | _a1 online resource (402 pages) | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aAtlantis Highlights in Computer Sciences Series ; _vv.18 |
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505 | 0 | _aIntro -- Preface -- Contents -- Peer-Review Statements -- Unsupervised Context Distillation from Weakly Supervised Data to Augment Video Question -- Public Perception of Myocarditis and Pericarditis Risk after Covid-19 Vaccination -- Fuzzy C-Means Approach Optimized using Raindrop Algorithm for Image Segmentation -- Shape Based Classification and Segmentation Of 3D Point Clouds using Deep Learning -- A Novel Optimized Variant of Machine Learning Algorithm for Accurate Energy Demand Prediction for Tetouan City, Morocco -- Improving the Efficiency of Object Grasp Detection on Embedded Platforms Using the AOGNet Neural Network Architecture -- Happiness Index Prediction of Students Using Machine Learning -- Enhancing AI Model for Fault Detection in Rail Through the Evaluation of AE Parameters with Proper Weighting Approach: A Comprehensive Study -- A COMPARATIVE STUDY ON AUTHENTICATION VULNERABILITIES AND SECURITY ISSUES IN WEARABLE DEVICES -- Prediction of Chronic Kidney Disease using Machine Learning Techniques -- Enhancing MCI Detection with a Hybrid Machine Learning Approach -- Revolutionizing Digital Ownership: Examining the Perks of a Polkadot- Based NFT Marketplace -- Comparative Analysis of Machine Learning Algorithms for Cervical Cancer Prediction -- Deep Learning - Based Forecasting of Task Failures in Cloud Data Centers -- A Frame Work Designing for Deep Fake Motion Detection using Deep Learning in Video Surveillance Systems -- A Design of Highly-Secured Map Chaotic Encryption Scheme for VANET Communication -- Quantum Cryptography Analysis for Secure Data Communication in Multi-Core Environment -- An Automatic Rice Grain Classification for Agricultural Products Marketing -- Smart IoT-Enabled pH Strip Reader for Simple and Accurate Analysis of Cervical Mucous pH. | |
505 | 8 | _aDeveloping a Credible and Trustworthy E-Commerce Application using Blockchain and Machine Learning -- Multistage Encryption of Mammogram Images Using Fractional Fourier Transform and 3D Chaotic Map -- Visual Profiling and Automated Classification of Malware Samples using Deep Learning. -- A new approach for efficient clustering usingfuzzy prototypes with varying neighborhoods -- Ensemble Machine Learning to Predict and Feature Engineering to Identify Factors for Academic-Success -- Ensemble Machine Learning to Predict and Feature Engineering to Identify Factors for Academic-Success -- Parallelization of Content aware Image Resizing -- A Deep CNN-Based Approach Felicia Proposed for Identifying Medicinal and Edible Plants in the Western Ghats Region -- Experience-based learning for multi-parameter regression control of snake-like robots -- Optimizing Technical Parameters and Stock Price Prediction using: Linear Regressive MapReduce and Quasi-Newton Deep Learning -- Tri Bird Technique for Effective Face Recognition Using Deep Convolutional Neural Network -- Assessing the Performance of ZigBee RF Protocol using Path loss models for IoT Application -- Image Caption Generator -- Detection of Epileptic Seizures from Logistic Model Trees -- An Empirical Comparative Study of Machine Learning Algorithms for Telugu News Classification. | |
588 | _aDescription based on publisher supplied metadata and other sources. | ||
590 | _aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. | ||
655 | 4 | _aElectronic books. | |
700 | 1 | _aVasundhara, D. N. | |
700 | 1 | _aSiva Kumar, P. V. | |
700 | 1 | _aSrujan Raju, K. | |
700 | 1 | _aMukkamala, Raghava Rao. | |
700 | 1 | _aNagini, S. | |
700 | 1 | _aBrahmananda Reddy, A. | |
700 | 1 | _aRamesh, G. S. | |
700 | 1 | _aBaby, V. | |
700 | 1 | _aVenkateswara Rao, P. | |
776 | 0 | 8 |
_iPrint version: _aKiran Mai, C. _tProceedings of the Fourth International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2023) _dDordrecht : Atlantis Press (Zeger Karssen),c2023 _z9789464633139 |
797 | 2 | _aProQuest (Firm) | |
830 | 0 | _aAtlantis Highlights in Computer Sciences Series | |
856 | 4 | 0 |
_uhttps://ebookcentral.proquest.com/lib/kliuc-ebooks/detail.action?docID=31063581 _zClick to View |
942 |
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