A Contemporary Survey of Recent Advances in Federated Learning: Taxonomies, Applications, and Challenges
Abstract The Internet of Things (IoT) has embedded itself in our daily lives, offering smart
services and AI-driven applications. However, traditional AI methods face challenges due to …
services and AI-driven applications. However, traditional AI methods face challenges due to …
FedWOA: A Federated Learning Model that uses the Whale Optimization Algorithm for Renewable Energy Prediction
Privacy is important when dealing with sensitive personal information in machine learning
models, which require large data sets for training. In the energy field, access to household …
models, which require large data sets for training. In the energy field, access to household …
Intelligent Multi-Group Marine Predator Algorithm with Deep Learning Assisted Anomaly Detection in Pedestrian Walkways
Anomaly Detection (AD) in Pedestrian Walkways (PWs) is critical to urban security and
safety systems. It is widely used to detect abnormal or unusual behaviours, situations, or …
safety systems. It is widely used to detect abnormal or unusual behaviours, situations, or …
Enhancing Anomaly Detection in Pedestrian Walkways using Improved Sparrow Search Algorithm with Parallel Features Fusion Model
Y Sreeraman, D Jagadeesan, J Jegan… - Full Length …, 2024 - americaspg.com
Anomaly detection in pedestrian walkways is a vital research area, widely employed to
enhance the safety of the pedestrians. Because of the widespread usage of the video …
enhance the safety of the pedestrians. Because of the widespread usage of the video …
Leveraging YOLOv5s with optimization‐based effective anomaly detection in pedestrian walkways
Currently, video surveillance is generally used to safeguard safety in public places like
railway stations, traffic signals, malls, and so on. Video anomaly recognition and localization …
railway stations, traffic signals, malls, and so on. Video anomaly recognition and localization …
Optimal deep transfer learning enabled object detector for anomaly recognition in pedestrian ways
Anomaly detection is a branch of behavior understanding in surveillance scenes, where
anomalies represent a deviation in the behavior of scene entities (viz., humans, vehicles …
anomalies represent a deviation in the behavior of scene entities (viz., humans, vehicles …
Fedwoa: A Federated Learning Model with the Whale Optimization Algorithm for Renewable Energy Prediction
Privacy is important when dealing with sensitive personal information in machine learning
models, which require large data sets for training. In the energy field, access to household's …
models, which require large data sets for training. In the energy field, access to household's …