First International Conference, ICMLA 2024, Himachal Pradesh, India, February 23-24, 2024, Proceedings Herausgegeben:Khurana, Meenu; Thakur, Abhishek; Kantha, Praveen; Shieh, Chin-Shiuh; Shukla, Rajesh K.
First International Conference, ICMLA 2024, Himachal Pradesh, India, February 23-24, 2024, Proceedings Herausgegeben:Khurana, Meenu; Thakur, Abhishek; Kantha, Praveen; Shieh, Chin-Shiuh; Shukla, Rajesh K.
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.
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.
Produktdetails
Produktdetails
Communications in Computer and Information Science 2238
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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.
.- 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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