Machine Learning Algorithms (eBook, PDF)

First International Conference, ICMLA 2024, Himachal Pradesh, India, February 23-24, 2024, Proceedings
Redaktion: Khurana, Meenu; Shukla, Rajesh K.; Shieh, Chin-Shiuh; Kantha, Praveen; Thakur, Abhishek

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the First International Conference on Machine Learning Algorithms, ICMLA 2024, held in Himachal Pradesh, India, during February 23-24, 2024.

The 23 full papers and 17 short papers included in this book were carefully reviewed and selected from 400 submissions. They were organized in the following topical sections: machine learning; image processing; deep learning.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 468
• Erscheinungstermin: 11. November 2024
• Englisch
• ISBN-13: 9783031758614
• Artikelnr.: 72414155

Inhaltsangabe

.- Machine Learning.
.- Performance Evaluation of Hybrid Machine Learning Models for Prediction of Coronary Disorder in Smart Healthcare Systems
.- Feature Based Machine Learning Models for Cardiovascular Disease Diagnosis: An Experimental Analysis.
.- Early Liver Disease Detection through Visual Interface and Machine Learning.
.- Diagnosing Autism Spectrum Disorder in Children Using Various Machine Learning Methods: A Review.
.- Quantum Influence on Social Media Content: Employing Machine Learning for Sentiment Analysis.
.- Predicting Forex Trends: A Comprehensive Analysis of Supervised Learning in Exchange Rate Prediction.
.- 5G wireless technology throughput prediction using ensemble machine learning approach.
.- Severity prediction of Omicron Sub-Variant JN.1 by using Machine Learning.
.- IoT-inspired Smart Drought Prediction Framework: Machine Learning Approach.
.- Deep DWT Feature Modeling for Alzheimer's Disease Prediction: A Unique Approach.
.- MobileNetV2: A proficient convolutional neural network for the Classification of Date Fruits into Genetic Varieties.
.- Greenhouse Gas Prediction Using LSTM Algorithm Based on Microsensor in Bandung City, Indonesia.
.- Revolutionizing Education: Assessing the Effectiveness of SER-CTL Methodology in Post-COVID Learning Environments.
.- Improved Whale Optimization Algorithm for Cluster Analysis.
.- Property Price Prediction using Regression Analysis.
.- Personalized Healthcare Recommendations with Q-Learning Reinforcement Learning.
.- Pioneering Healthcare Innovations with the Convergence of Blockchain, AI, and the Internet of Medical Things (IoMT).
.- The Evolution and Potential of Conversational Agents in Healthcare.
.- A Computer Aided Detection System for Lung Nodules Classification.
.- A Note on Interpolation of Hermitian Signal: Based on Centrosymmetric Property.
.- An Efficient Algorithm for Hadamard Product of Centrosymmetric Matrices.
.- Investigation on Combined Impacts of Different Clustering Techniques and Enhanced K-means Algorithm.
.- Comprehensive Exploration of IoT Communication Protocol: CoAP, MQTT, HTTP, LoRaWAN and AMQP.
.- A Systematic Review on Blockchain Technology.
.- A survey on datasets, feature extraction and classification techniques used in personality classification from hand-writing.
.- Image Processing.
.- A Generic Approach for Detection of Copy-Move Forgery Detection Scheme from Digital Images.
.- An Effective Biometric Medical Image Watermarking System Designed for e-Health Application.
.- Exploring Diverse Techniques in Image and Video Forgery.
.- Enhancing the Accuracy of Automatic Bone Age Estimation using Optimized CNN Model on X-Ray Images.
.- Machine learning-based detection of forgery in digital images.
.- FaceEvoke: Eliciting Emotions through Facial Analysis.
.- Efficient Aerial Object Detection: An Exploration with YOLOv8.
.- Kidney Tumor Classification using Deep Learning Techniques from Computed Tomography Images.
.- Unsupervised Learning for Image Forgery Detection.
.- An advanced approach to detect and classify lung nodules using CT image.
.- Robust Iris Image Encryption via Black Widow Optimization Method.
.- Deep Learning.
.- An Analysis of Deep Learning Models for Conversational Agents in Healthcare.
.- Critical Evaluation of Deep Learning Models for Heart Disease Detection.
.- Revolutionizing Cancer Diagnosis: The Power of Deep Learning Ensembles in Lung and Colon Cancer.
.- VGG-Inspired Convolutional Neural Network Denoiser for the Enhancement of Mammogram Images.