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_aMachine Learning for Social Transformation _h[electronic resource] : _bProceedings of EAIT 2024 / _cedited by Jyotsna Kumar Mandal, Debashis De. |
250 | _a1st ed. 2024. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024. |
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300 |
_aXIX, 470 p. 187 illus., 149 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_aLecture Notes in Networks and Systems, _x2367-3389 ; _v1131 |
|
505 | 0 | _aCredibility Detection Utilizing Fuzzy Weight Strategy -- Image Caption Generation using Neural Networks -- The development of unsupervised Seq2Seq based LSTM Network algorithm for forecasting infectious disease -- Isolated Word Recognition and Feature Extraction Using Machine Learning -- Bladder Segmentation in MRI for High Dose Rate Brachytherapy Using Deep Network -- Central Bank Digital Currency: Policy Implications through Polarity and Sentiment Analysis -- Advanced Aerial Object Detection using Enhanced YOLOv3 with Leaky ReLU and Dilated Convolutions -- From Field to Cloud: IoT and Machine Learning Innovations in High-Throughput Phenotyping -- Catching Lies in the Act : Early Misinformation Detection using Linguistic Cues and Contextual Information -- DNA Sequencing-induced Cancer Detection: A Representation Learning-inspired Sustainable Transformation in Internet of Healthcare -- Prediction And Analysis of Rare Symptoms Using Association Rule Mining in Health Care Data Without Tree Generation -- Unraveling the Molecular Landscape of Myasthenia Gravis(MG): A Principal Component Analysis (PCA) of Gene Expression Dataset -- Unlocking the Potential of Machine Learning and Deep Learning for Screening of Geriatric Depression -- IoMT-based Point-of-Care Testing for PCOS Diagnosis using Dempster Shafer Theory of Evidence -- Analysis of Breast cancer classification using deep CNN with adaptive learning rate -- Detecting Schizophrenia Patients Using Deep Learning Models -- Application of Neural Network for Reducing Emission and Optimizing performance of Hydrogen with Biofuel CI Engine -- Water Distribution Network Using IoT Sensors for Residential Areas from Household Rainwater -- A Sustainable, Paperless Environment Using Machine Learning in Hospitals and Medical Sectors -- Deep Feature Learning for Detecting Water Pollution from Industrial Waste -- Multi-Linear Regression Model for Water Prediction and Monitoring in North Twenty-Four Parganas, India -- Machine Learning Based Water Need Estimation for Smart Irrigation System -- Best Defense Practices Against Web Server Attacks By Using and Evaluating NSM Tools. | |
520 | _aThe book includes original unpublished contributions presented at the Eighth International Conference on Emerging Applications of Information Technology (EAIT 2024), organized by Computer Society of India, Kolkata Chapter during 12 - 13 January 2024. The Theme of the conference is "Machine Learning for Social Transformation". The book covers the topics such as computational intelligence for social transformation, machine learning for healthcare informatics, and machine learning for agriculture and environmental sustainability. | ||
541 |
_fUABC ; _cPerpetuidad |
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650 | 0 | _aComputational intelligence. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aMachine learning. | |
650 | 0 |
_aTechnology _xSociological aspects. |
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650 | 0 | _aInformation technology. | |
650 | 1 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aMachine Learning. |
650 | 2 | 4 | _aInformation and Communication Technologies (ICT). |
700 | 1 |
_aMandal, Jyotsna Kumar. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aDe, Debashis. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789819775316 |
776 | 0 | 8 |
_iPrinted edition: _z9789819775330 |
830 | 0 |
_aLecture Notes in Networks and Systems, _x2367-3389 ; _v1131 |
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_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-7532-3 |
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