Machine learning-based automatic litter detection and classification using neural networks in smart cities
M Malik, C Prabha, P Soni, V Arya… - … Journal on Semantic …, 2023 - igi-global.com
Abstract Machine learning and deep learning are one of the most sought-after areas in
computer science which are finding tremendous applications ranging from elementary …
computer science which are finding tremendous applications ranging from elementary …
[PDF][PDF] Improved LSTM-Based Anomaly Detection Model with Cybertwin Deep Learning to Detect Cutting-Edge Cybersecurity Attacks
S Sengan, A Mehbodniya, JL Webber… - HUMAN-CENTRIC …, 2023 - hcisj.com
Anomalies in the time series may indicate future faults—real-time system state monitoring
and early alerting demand novel computational anomaly detection methods. Internet of …
and early alerting demand novel computational anomaly detection methods. Internet of …
Advancing Disability Management in Information Systems: A Novel Approach through Bidirectional Federated Learning-Based Gradient Optimization
SB Khan, M Alojail, M Al Moteri - Mathematics, 2023 - mdpi.com
Disability management in information systems refers to the process of ensuring that digital
technologies and applications are designed to be accessible and usable by individuals with …
technologies and applications are designed to be accessible and usable by individuals with …
Query-guided refinement and dynamic spans network for video highlight detection and temporal grounding in online information systems
Y Xu, Y Sun, Z Xie, B Zhai, Y Jia, S Du - International Journal on …, 2023 - igi-global.com
With the surge in online video content, finding highlights and key video segments have
garnered widespread attention. Given a textual query, video highlight detection (HD) and …
garnered widespread attention. Given a textual query, video highlight detection (HD) and …
Adaptive Network Configuration for Efficient and Accurate Neural Video Inference
Cameras are widely used in many fields, eg, intelligent transportation, autonomous driving,
surveillance, etc. It is thus vital to conduct video analytics in an efficient and accurate …
surveillance, etc. It is thus vital to conduct video analytics in an efficient and accurate …
[HTML][HTML] ArticlesImproved LSTM-Based Anomaly Detection Model with Cybertwin Deep Learning to Detect Cutting-Edge Cybersecurity Attacks
Anomalies in the time series may indicate future faults—real-time system state monitoring
and early alerting demand novel computational anomaly detection methods. Internet of …
and early alerting demand novel computational anomaly detection methods. Internet of …