Machine Learning Algorithms : First International Conference, ICMLA 2024, Himachal Pradesh, India, February 23-24, 2024, Proceedings (Communications in Computer and Information Science) (2024)

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Machine Learning Algorithms : First International Conference, ICMLA 2024, Himachal Pradesh, India, February 23-24, 2024, Proceedings (Communications in Computer and Information Science) (2024)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 468 p.
  • 言語 ENG
  • 商品コード 9783031758607

Full Description

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.

Contents

.- 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.

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