Zulfiqar Ahmad Khan

Orcid: 0000-0003-3797-9649

Affiliations:
  • Umea University, Department of Computing Science, Umea, Sweden
  • Sejong University, Seoul, Republic of Korea


According to our database1, Zulfiqar Ahmad Khan authored at least 28 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Deep hybrid network with additive attention for accurate population forecasting.
Soft Comput., April, 2026

Class-incremental learning network for real-time anomaly recognition in surveillance environments.
Pattern Recognit., 2026

TinySEED: A Lightweight Transformer Architecture with Channel-Attention for DDoS Detection.
Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

2025
Dual stream deep attention networks for annual population projection.
Pattern Anal. Appl., June, 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

EFNet-CSM: EfficientNet with a modified attention mechanism for effective fire detection.
Knowl. Based Syst., 2025

Edge-assisted framework for instant anomaly detection and cloud-based anomaly recognition in smart surveillance.
Eng. Appl. Artif. Intell., 2025

Hierarchical attention-based framework for enhanced prediction and optimization of organic and inorganic material synthesis.
Adv. Eng. Informatics, 2025

Catastrophic Forgetting Resilient One-Shot Incremental Federated Learning.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
A Trapezoid Attention Mechanism for Power Generation and Consumption Forecasting.
IEEE Trans. Ind. Informatics, April, 2024

Deep multi-scale pyramidal features network for supervised video summarization.
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

TDS-Net: Transformer enhanced dual-stream network for video Anomaly Detection.
Expert Syst. Appl., 2024

Dual Deep Learning Network for Abnormal Action Detection.
Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

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

2022
Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark.
IEEE Trans. Image Process., 2022

Intelligent dual stream CNN and echo state network for anomaly detection.
Knowl. Based Syst., 2022

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

2021
Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm.
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

A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting.
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


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