Online video anomaly detection

Y Zhang, J Song, Y Jiang, H Li - Sensors, 2023 - mdpi.com
With the popularity of video surveillance technology, people are paying more and more
attention to how to detect abnormal states or events in videos in time. Therefore, real-time …

Individualized short-term electric load forecasting using data-driven meta-heuristic method based on LSTM network

L Sun, H Qin, K Przystupa, M Majka, O Kochan - Sensors, 2022 - mdpi.com
Short-term load forecasting is viewed as one promising technology for demand prediction
under the most critical inputs for the promising arrangement of power plant units. Thus, it is …

Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions

P Bhatt, A Sethi, V Tasgaonkar, J Shroff, I Pendharkar… - Brain informatics, 2023 - Springer
Human behaviour reflects cognitive abilities. Human cognition is fundamentally linked to the
different experiences or characteristics of consciousness/emotions, such as joy, grief, anger …

Ajenet: Adaptive joints enhancement network for abnormal behavior detection in office scenario

C Liu, Y Zhang, Y Xue, X Qian - IEEE Transactions on Circuits …, 2023 - ieeexplore.ieee.org
With the increasing popularity of intelligent surveillance systems, abnormal behavior
detection of human beings based on computer vision is attracting more attention. It aims to …

A hybrid feature selection framework using improved sine cosine algorithm with metaheuristic techniques

L Sun, H Qin, K Przystupa, Y Cui, O Kochan… - Energies, 2022 - mdpi.com
Feature selection is the procedure of extracting the optimal subset of features from an
elementary feature set, to reduce the dimensionality of the data. It is an important part of …

Classification of human's activities from gesture recognition in live videos using deep learning

AR Khan, T Saba, MZ Khan, SM Fati… - Concurrency and …, 2022 - Wiley Online Library
The automated behavior analysis is a significant problem in the examination. In the
presence of invigilators and examiners, examinees use various unfair means to cheat the …

Lightanomalynet: a lightweight framework for efficient abnormal behavior detection

A Mehmood - Sensors, 2021 - mdpi.com
The continuous development of intelligent video surveillance systems has increased the
demand for enhanced vision-based methods of automated detection of anomalies within …

Online measurement error detection for the electronictransformer in a smart grid

G Xiong, K Przystupa, Y Teng, W Xue, W Huan, Z Feng… - Energies, 2021 - mdpi.com
With the development of smart power grids, electronic transformers have been widely used
to monitor the online status of power grids. However, electronic transformers have the …

Social Recommendation Algorithm Based on Self-Supervised Hypergraph Attention

X Xu, K Przystupa, O Kochan - Electronics, 2023 - mdpi.com
Social network information has been widely applied to traditional recommendations that
have received significant attention in recent years. Most existing social recommendation …

Real-time fire detection method for electric vehicle charging stations based on machine vision

S Zhang, Q Yang, Y Gao, D Gao - World electric vehicle journal, 2022 - mdpi.com
During the charging process of electric vehicles (EV), the circuit inside the charger plug is
connected in series, the charger input voltage does not match the rated input voltage, the …