Zulfiqar Ahmad Khan
Orcid: 0000-0003-3797-9649Affiliations:
- Bournemouth University, NanoCorr, Dorset, UK
According to our database1,
Zulfiqar Ahmad Khan
authored at least 23 papers
between 2018 and 2026.
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Bibliography
2026
Class-incremental learning network for real-time anomaly recognition in surveillance environments.
Pattern Recognit., 2026
2025
Correction: Enhancing real-time fire detection: an effective multi-attention network and a fire benchmark.
Neural Comput. Appl., June, 2025
Enhancing real-time fire detection: an effective multi-attention network and a fire benchmark.
Neural Comput. Appl., June, 2025
Optimized cross-module attention network and medium-scale dataset for effective fire detection.
Pattern Recognit., 2025
Hierarchical attention-based framework for enhanced prediction and optimization of organic and inorganic material synthesis.
Adv. Eng. Informatics, 2025
2024
IEEE Trans. Ind. Informatics, April, 2024
Expert Syst. Appl., March, 2024
An efficient deep learning architecture for effective fire detection in smart surveillance.
Image Vis. Comput., 2024
A modified vision transformer architecture with scratch learning capabilities for effective fire detection.
Expert Syst. Appl., 2024
Expert Syst. Appl., 2024
Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024
2023
Expert Syst. Appl., November, 2023
Expert Syst. Appl., November, 2023
2022
Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark.
IEEE Trans. Image Process., 2022
Knowl. Based Syst., 2022
Complex., 2022
2021
Sensors, 2021
An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos.
Sensors, 2021
Atrous Convolutions and Residual GRU Based Architecture for Matching Power Demand with Supply.
Sensors, 2021
2020
Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework.
Sensors, 2020
IEEE Access, 2020
An Adaptive Filtering Technique for Segmentation of Tuberculosis in Microscopic Images.
Proceedings of the NLPIR 2020: 4th International Conference on Natural Language Processing and Information Retrieval, 2020
2018
A Novel Non-Destructive Sensing Technology for On-Site Corrosion Failure Evaluation of Coatings.
IEEE Access, 2018