Machine learning for social transfor...
International Conference on Emerging Applications of Information Technology (2024 :)

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  • Machine learning for social transformation = proceedings of EAIT 2024 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Machine learning for social transformation/ edited by Jyotsna Kumar Mandal, Debashis De.
    Reminder of title: proceedings of EAIT 2024 /
    remainder title: EAIT 2024
    other author: Mandal, Jyotsna Kumar.
    corporate name: International Conference on Emerging Applications of Information Technology
    Published: Singapore :Springer Nature Singapore : : 2024.,
    Description: xix, 470 p. :ill., digital ;24 cm.
    [NT 15003449]: Credibility 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.
    Contained By: Springer Nature eBook
    Subject: Machine learning - Congresses. -
    Online resource: https://doi.org/10.1007/978-981-97-7532-3
    ISBN: 9789819775323
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