This book constitutes the refereed proceedings of the First International Conference on Machine Learning Algorithms, ICMLA 2024, held in Himachal Pradesh, India, during February 2324, 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.
.- 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 Alzheimers 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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