Artificial intelligence of things Part 1
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...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cham
Springer
2024
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| Schriftenreihe: | Communications in computer and information science
1929 |
| Schlagworte: |
Angewandte Informatik
> Artificial intelligence
> COMPUTERS / Artificial Intelligence
> COMPUTERS / Data Processing / General
> COMPUTERS / Online Services / General
> COMPUTERS / Programming / Software Development
> Computer networking & communications
> Datenbanken
> Information technology: general issues
> Künstliche Intelligenz
> Machine learning
> Maschinelles Lernen
> Software Engineering
> Konferenzschrift
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| Online Zugang: | Cover |
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| Zusammenfassung: | 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. These two volumes constitute the revised selected papers of First International Conference, ICAIoT 2023, held in Chandigarh, India, during March 30-31, 2023. The 47 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 401 submissions. The two books focus on research issues, opportunities and challenges of AI and IoT applications. They present the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of AI algorithms implementation in IoT Systems |
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| Beschreibung: | Literaturangaben |
| Beschreibung: | xxix, 379 Seiten Illustrationen, Diagramme |
| ISBN: | 9783031487736 978-3-031-48773-6 |