Waseem Ullah

Orcid: 0000-0001-5191-9023

According to our database1, Waseem Ullah authored at least 18 papers between 2020 and 2024.

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

Timeline

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Bibliography

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

Industrial defective chips detection using deep convolutional neural network with inverse feature matching mechanism.
J. Comput. Des. Eng., 2024

An efficient deep learning architecture for effective fire detection in smart surveillance.
Image Vis. Comput., 2024

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

Vision transformer attention with multi-reservoir echo state network for anomaly recognition.
Inf. Process. Manag., May, 2023

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

eCubeLand: An Intelligent Multiview Video Data Modeling.
IEEE Multim., 2023

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

2022
A Multi-Stream Sequence Learning Framework for Human Interaction Recognition.
IEEE Trans. Hum. Mach. Syst., 2022

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

Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data.
Future Gener. Comput. Syst., 2022

2021
An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos.
Sensors, 2021

CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks.
Multim. Tools Appl., 2021

Splicing sites prediction of human genome using machine learning techniques.
Multim. Tools Appl., 2021

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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