Artificial Intelligence of Things: First International Conference, Icaiot 2023, Chandigarh, India, March 30-31, 2023, Revised Selected Papers, Part I » książka
Securing IoT using Supervised Machine Learning.- DDoS Attack Detection in IoT Environment using Crystal Optimized Deep Neural Network.- Prediction Based Load Balancing in Cloud Computing Using Conservative Q-Learning Algorithm.- An Attribute Selection Using Propagation-Based Neural Networks with an Improved Cuckoo-Search Algorithm.- Multi-Environment Audio Dataset using RPi-based Sound Logger.- A Comparative Analysis of Android Malware Detection using Deep Learning.- Optimization of Virtual Machines in Cloud Environment.- A Construction of Secure and Efficient Authenticated Key Exchange Protocol for Deploying Internet of Drones in Smart City.- Comparative Analysis of Quantum Key Distribution Protocols: Security, Efficiency, and Practicality.- Fog Intelligence for Energy Optimized Computation in Industry 4.0.- Security Enhancement of Content in Fog Environment.- Local Database Connectivity and UI Design for the Smart Automated Cooker.- A Detection Approach for IoT Traffic-based DDoS Attacks.- Comparison between Performance of Constraint Solver for Prediction Model in Symbolic Execution.- Cost-Deadline Constrained Robust Scheduling of Workflows Using Hybrid Instances in IaaS Cloud.
Comparative Performance Analysis of Machine Learning Algorithms for COVID-19 Cases in India.- Performance Analysis of Different Machine Learning Classifiers for Prediction of Lung Cancer.- Localization Improvements in Faster Residual Convolutional Neural Network Model for Temporomandibular Joint – Osteoarthritis Detection.- Semi-Automated Diabetes Prediction using AutoGluon and TabPFN Models.- Malnutrition Detection Analysis and Nutritional Treatment using Ensemble Learning.- Multitudinous Disease Forecasting using Extreme Learning Machine.- Optimized Ensembled Predictive Model for Drug Toxicity.- Classification for EEG Signals Using Machine Learning Algorithm.- Neural Network Based Mortality Prediction in Covid-19 Dataset.- Expeditious Prognosis of PCOS with Ultrasonography Images - A Convolutional Neural Network Approach.