Touseef Sadiq

Orcid: 0000-0001-6603-3639

According to our database1, Touseef Sadiq authored at least 15 papers between 2023 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Enhancing HEVC Efficiency: A Novel Approach to Intra-Mode Estimation Through Hadamard Cost Analysis.
IEEE Access, 2025

A Novel Telerehabilitation System for Physical Exercise Monitoring in Elderly Healthcare.
IEEE Access, 2025

2024
Enhancing Network Intrusion Detection Using an Ensemble Voting Classifier for Internet of Things.
Sensors, 2024

Target detection and classification via EfficientDet and CNN over unmanned aerial vehicles.
Frontiers Neurorobotics, 2024

Vehicle recognition pipeline via DeepSort on aerial image datasets.
Frontiers Neurorobotics, 2024

A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm.
CAAI Trans. Intell. Technol., 2024

Studying long term relationship between carbon Emissions, Soil, and climate Change: Insights from a global Earth modeling Framework.
Int. J. Appl. Earth Obs. Geoinformation, 2024

A Comprehensive Study of Chipless RFID Sensors for Healthcare Applications.
IEEE Access, 2024

Enhancing Vehicle Detection and Tracking in UAV Imagery: A Pixel Labeling and Particle Filter Approach.
IEEE Access, 2024

Advanced Human Pose Estimation and Event Classification Using Context-Aware Features and XGBoost Classifier.
IEEE Access, 2024

UAV Detection Using Template Matching and Centroid Tracking.
IEEE Access, 2024

A Novel Framework for Vehicle Detection and Tracking in Night Ware Surveillance Systems.
IEEE Access, 2024

2023
A Novel Feature-Selection Algorithm in IoT Networks for Intrusion Detection.
Sensors, October, 2023

Optimized DEC: An effective cough detection framework using optimal weighted Features-aided deep Ensemble classifier for COVID-19.
Biomed. Signal Process. Control., September, 2023

Scene Retrieval in Traffic Videos with Contrastive Multimodal Learning.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023


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