Advanced Computing -

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Résumé :
?Agricultural Resilience and Disaster Management for Sustainable Harvest.- Plant Disease Recognition using Machine Learning and Deep Learning Classifiers.- Securing Lives and Assets: IoT-Based Earthquake and Fire Detection for Real-Time Monitoring and Safety.- An Early Detection of Fall Using Knowledge Distillation Ensemble Prediction Using Classification.- Deep Learning Methods for Precise Sugarcane Disease Detection and Sustainable Crop Management.- An Interactive Interface for Plant Disease Prediction and Remedy Recommendation.- Tilapia Fish Freshness Detection using CNN Models.- Chilli Leaf Disease Detection using Deep Learning.- Damage Evaluation Following Natural Disasters Using Deep Learning.- Total Electron Content Forecasting in Low Latitude Regions of India: Machine & Deep Learning Synergy.- Disease and Abnormalities Detection using ML and IOT.- Early Phase Detection of Diabetes Mellitus Using Machine Learning.- Diabetes Risk Prediction through Fine-Tuned Gradient Boosting.- Early Detection of Diabetes using ML-based Classification Algorithms.- Prediction Of Abnormality Using IoT and Machine Learning.- Detection of Cardiovascular Diseases using Machine Learning Approach.- Mild Cognitive Impairment Diagnosis Using Neuropsychological Tests and Agile Machine Learning.- Heart Disease Diagnosis using Machine Learning Classifiers.- Comparative Evaluation of Feature Extraction Techniques in Chest X Ray Image with Different Classification Model.- Application of Deep Learning in Healthcare.- Transfer Learning Approach for Differentiating Parkinson's Syndromes using Voice Recordings.- Detection of Brain Tumor Type Based on FANET Segmentation and Hybrid Squeeze Excitation Network with KNN.- Mental Health Analysis using Rasa and Bert: Mindful.- Kidney Failure Identification using Augment Intelligence and IOT Based on Integrated Healthcare System.- Efficient Characterization of Cough Sounds Using Statistical Analysis.- An Efficient Method for Heart Failure Diagnosis.- Novel Machine Learning Algorithms for Predicting COVID-19 Clinical Outcomes with Gender Analysis.- A Genetic Algorithm-Enhanced Deep Neural Network for Efficient and Optimized Brain Tumor Detection.- Diabetes Prediction using Ensemble Learning.- Cancer Detection Using AI.- A Predictive Deep Learning Ensemble Based Approach for Advanced Cancer Classification.- Predictive Deep Learning: An Analysis of Inception V3, VGG16, and VGG19 Models for Breast Cancer Detection.- Innovation in the Field of Oncology: Early Lung Cancer Detection and Classification using AI.- Colon Cancer Nuclei Classification with Convolutional Neural Networks.- Genetic Algorithm-based Optimization of UNet for Breast Cancer Classification: A Lightweight and Efficient approach for IoT Devices.- Classification of Colorectal Cancer Tissue Utilizing Machine Learning Algorithms.- Prediction of Breast Cancer using Machine Learning Technique....

Sommaire:
?Agricultural Resilience and Disaster Management for Sustainable Harvest.- Plant Disease Recognition using Machine Learning and Deep Learning Classifiers.- Securing Lives and Assets: IoT-Based Earthquake and Fire Detection for Real-Time Monitoring and Safety.- An Early Detection of Fall Using Knowledge Distillation Ensemble Prediction Using Classification.- Deep Learning Methods for Precise Sugarcane Disease Detection and Sustainable Crop Management.- An Interactive Interface for Plant Disease Prediction and Remedy Recommendation.- Tilapia Fish Freshness Detection using CNN Models.- Chilli Leaf Disease Detection using Deep Learning.- Damage Evaluation Following Natural Disasters Using Deep Learning.- Total Electron Content Forecasting in Low Latitude Regions of India: Machine & Deep Learning Synergy.- Disease and Abnormalities Detection using ML and IOT.- Early Phase Detection of Diabetes Mellitus Using Machine Learning.- Diabetes Risk Prediction through Fine-Tuned Gradient Boosting.- Early Detection of Diabetes using ML-based Classification Algorithms.- Prediction Of Abnormality Using IoT and Machine Learning.- Detection of Cardiovascular Diseases using Machine Learning Approach.- Mild Cognitive Impairment Diagnosis Using Neuropsychological Tests and Agile Machine Learning.- Heart Disease Diagnosis using Machine Learning Classifiers.- Comparative Evaluation of Feature Extraction Techniques in Chest X Ray Image with Different Classification Model.- Application of Deep Learning in Healthcare.- Transfer Learning Approach for Differentiating Parkinson's Syndromes using Voice Recordings.- Detection of Brain Tumor Type Based on FANET Segmentation and Hybrid Squeeze Excitation Network with KNN.- Mental Health Analysis using Rasa and Bert: Mindful.- Kidney Failure Identification using Augment Intelligence and IOT Based on Integrated Healthcare System.- Efficient Characterization of Cough Sounds Using Statistical Analysis.- An Efficient Method for Heart Failure Diagnosis.- Novel Machine Learning Algorithms for Predicting COVID-19 Clinical Outcomes with Gender Analysis.- A Genetic Algorithm-Enhanced Deep Neural Network for Efficient and Optimized Brain Tumor Detection.- Diabetes Prediction using Ensemble Learning.- Cancer Detection Using AI.- A Predictive Deep Learning Ensemble Based Approach for Advanced Cancer Classification.- Predictive Deep Learning: An Analysis of Inception V3, VGG16, and VGG19 Models for Breast Cancer Detection.- Innovation in the Field of Oncology: Early Lung Cancer Detection and Classification using AI.- Colon Cancer Nuclei Classification with Convolutional Neural Networks.- Genetic Algorithm-based Optimization of UNet for Breast Cancer Classification: A Lightweight and Efficient approach for IoT Devices.- Classification of Colorectal Cancer Tissue Utilizing Machine Learning Algorithms.- Prediction of Breast Cancer using Machine Learning Technique....