Machine Learning for Social Transformation Proceedings of EAIT 2024 /

Podrobná bibliografie
Korporativní autor: SpringerLink (Online service)
Další autoři: Mandal, Jyotsna Kumar (Editor), De, Debashis (Editor)
Shrnutí:XIX, 470 p. 187 illus., 149 illus. in color.
text
Jazyk:angličtina
Vydáno: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Vydání:1st ed. 2024.
Edice:Lecture Notes in Networks and Systems, 1131
Témata:
On-line přístup:https://doi.org/10.1007/978-981-97-7532-3
Médium: Elektronický zdroj Kniha
Obsah:
  • 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.