Fath U Min Ullah

Orcid: 0000-0002-1243-9358

Affiliations:
  • University of Sheffield, UK
  • Sejong University, Seoul, South Korea


According to our database1, Fath U Min Ullah authored at least 16 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A modified YOLOv5 architecture for efficient fire detection in smart cities.
Expert Syst. Appl., November, 2023

Sequential attention mechanism for weakly supervised video anomaly detection.
Expert Syst. Appl., November, 2023

Deep Learning Assists Surveillance Experts: Toward Video Data Prioritization.
IEEE Trans. Ind. Informatics, July, 2023

AI-Assisted Hybrid Approach for Energy Management in IoT-Based Smart Microgrid.
IEEE Internet Things J., 2023

AD-Graph: Weakly Supervised Anomaly Detection Graph Neural Network.
Int. J. Intell. Syst., 2023

TransCNN: Hybrid CNN and transformer mechanism for surveillance anomaly detection.
Eng. Appl. Artif. Intell., 2023

A Comprehensive Review on Vision-Based Violence Detection in Surveillance Videos.
ACM Comput. Surv., 2023

CT-NET: A Novel Convolutional Transformer-Based Network for Short-Term Solar Energy Forecasting Using Climatic Information.
Comput. Syst. Sci. Eng., 2023

2022
An intelligent system for complex violence pattern analysis and detection.
Int. J. Intell. Syst., December, 2022

AI-Assisted Edge Vision for Violence Detection in IoT-Based Industrial Surveillance Networks.
IEEE Trans. Ind. Informatics, 2022

Deep Learning-Assisted Short-Term Power Load Forecasting Using Deep Convolutional LSTM and Stacked GRU.
Complex., 2022

A Hybrid Deep Learning-Based Network for Photovoltaic Power Forecasting.
Complex., 2022

2021
Batteries State of Health Estimation via Efficient Neural Networks With Multiple Channel Charging Profiles.
IEEE Access, 2021

2020
Short-Term Prediction of Residential Power Energy Consumption via CNN and Multi-Layer Bi-Directional LSTM Networks.
IEEE Access, 2020

2019
Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network.
Sensors, 2019

Raspberry Pi assisted facial expression recognition framework for smart security in law-enforcement services.
Inf. Sci., 2019


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