E-raamat: Advanced Computing: 13th International Conference, IACC 2023, Kolhapur, India, December 15-16, 2023, Revised Selected Papers, Part II

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 Parkinsons 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.