Proceedings of the 3rd International Conference on Computer Science's Complex Systems and Their Applications ICCSA’2024 /
This book features a diverse collection of high-quality papers covering the latest advancements in Artificial Intelligence and its Applications, Cybersecurity, Software Engineering, Emergent Technologies, Networks and Embedded Systems. The ICCSA’2024 Proceedings bring together the latest research pr...
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| Korporacja: | |
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| Kolejni autorzy: | , , , |
| Format: | Elektroniczne E-book |
| Język: | angielski |
| Wydane: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Wydanie: | 1st ed. 2025. |
| Seria: | Information Systems Engineering and Management,
45 |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1007/978-3-031-90758-6 |
| Etykiety: |
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Spis treści:
- Machine Learning-Based Intrusion Detection Systems for the Internet of Drones: A Systematic Mapping Study
- A comprehensive study on Artificial Intelligence of Things Optimization Approaches
- Fault Prediction in IoT Applications Using Federated Learning Based on Local Differential Privacy
- Deep Reinforcement Learning-Based Resource Allocation for the Internet of Vehicles: a Systematic Mapping Study
- Clustering using Markov Blanket Approximation to analyze agricultural data in an IoT environment
- GreenGrowth: Smart Irrigation and Data-driven Crop Management framework for Sustainable Agriculture
- Automated Weed Detection in Agriculture: A Performance Evaluation of YOLOv8 and InceptionV3 Models
- Deep Learning for prediction of leaks in oil and gas pipelines
- FNN-LSTM Model for Remaining Useful Life
- An intelligent approach to predicting of heart problems
- Enhancing Breast Tumour Classification using Ensemble Methods and Voting Systems
- Skin-VGG16: A Multimodal-based Approach for Skin Cancer Classification
- Recent Advances in Hair Removal in Dermoscopy Images Using Deep Learning Learning
- Swarm Intelligence Algorithms in Traffic Signal Control: A Critical Review of Particle Swarm, Bee Colony, and Ant Colony Approaches
- Addressing Data Heterogeneity in Federated Learning: The FedWAQ Approach to Weighted Aggregation Based on Data Quality.