Machine Learning for Social Transformation

Machine Learning for Social Transformation

Proceedings of EAIT 2024

Mandal, Jyotsna Kumar; De, Debashis

Springer Verlag, Singapore

01/2025

400

Mole

9789819775316

Pré-lançamento - envio 15 a 20 dias após a sua edição

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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.
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Machine Learning;Social Transformation;Lifelong Machine Learning;Sustainable Healthcare;Smart Agriculture;Environmental Sustainability;Smart Ecosystems;Generative and Explainable AI;Internet of Healthcare (IoH);5G in Sustainable Ecosystems;Deep-Feature-Federated Learning;Digital Literacy;Assistive Technology;Prompt Engineering;EAIT 2024 Proceedings