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Anwaar Ulhaq

Showing results (1-10 of 11) with videos related to

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Sensors (Basel, Switzerland)|July 13, 2024
Improved Video-Based Point Cloud Compression via SegmentationFaranak Tohidi, Manoranjan Paul, Anwaar Ulhaq, et al.
Plos One|December 17, 2020
Real-time plant health assessment via implementing cloud-based scalable transfer learning on AWS DeepLensAsim Khan, Umair Nawaz, Anwaar Ulhaq, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 11, 2018
On Space-Time Filtering Framework for Matching Human Actions Across Different ViewpointsAnwaar Ulhaq, Xiaoxia Sunny Yin, Jing He, et al.
Scientific Reports|March 14, 2023
Advanced quantum image representation and compression using a DCT-EFRQI approachMd Ershadul Haque, Manoranjan Paul, Anwaar Ulhaq, et al.
Plos One|July 27, 2022
A deep semantic vegetation health monitoring platform for citizen science imaging dataAsim Khan, Warda Asim, Anwaar Ulhaq, et al.
Scientific Reports|July 2, 2024
Power spectral density-based resting-state EEG classification of first-episode psychosisSadi Md Redwan, Md Palash Uddin, Anwaar Ulhaq, et al.
SLAS Technology|January 24, 2026
An Integrated Deep Learning Framework Leveraging NASNet and Vision Transformer with MixProcessing for Accurate and Precise Diagnosis of Lung DiseasesSajjad Saleem, Muhammad Zaheer Sajid, Abida Sharif, et al.
IEEE Access : Practical Innovations, Open Solutions|November 23, 2021
COVID-19 Control by Computer Vision Approaches: A SurveyAnwaar Ulhaq, Jannis Born, Asim Khan, et al.
IEEE Access : Practical Innovations, Open Solutions|December 21, 2021
COVID-19 Detection Through Transfer Learning Using Multimodal Imaging DataMichael J Horry, Subrata Chakraborty, Manoranjan Paul, et al.
SLAS Technology|July 18, 2025
An integrated deep learning framework using adaptive enhanced vision fusion and modified mobilenet architecture for precision classification of skin diseases with enhanced diagnostic performanceAhsan Bilal Tariq, Muhammad Zaheer Sajid, Nauman Ali Khan, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|July 13, 2024
Improved Video-Based Point Cloud Compression via SegmentationFaranak Tohidi, Manoranjan Paul, Anwaar Ulhaq, et al.
Plos One|December 17, 2020
Real-time plant health assessment via implementing cloud-based scalable transfer learning on AWS DeepLensAsim Khan, Umair Nawaz, Anwaar Ulhaq, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 11, 2018
On Space-Time Filtering Framework for Matching Human Actions Across Different ViewpointsAnwaar Ulhaq, Xiaoxia Sunny Yin, Jing He, et al.
Scientific Reports|March 14, 2023
Advanced quantum image representation and compression using a DCT-EFRQI approachMd Ershadul Haque, Manoranjan Paul, Anwaar Ulhaq, et al.
Plos One|July 27, 2022
A deep semantic vegetation health monitoring platform for citizen science imaging dataAsim Khan, Warda Asim, Anwaar Ulhaq, et al.
Scientific Reports|July 2, 2024
Power spectral density-based resting-state EEG classification of first-episode psychosisSadi Md Redwan, Md Palash Uddin, Anwaar Ulhaq, et al.
SLAS Technology|January 24, 2026
An Integrated Deep Learning Framework Leveraging NASNet and Vision Transformer with MixProcessing for Accurate and Precise Diagnosis of Lung DiseasesSajjad Saleem, Muhammad Zaheer Sajid, Abida Sharif, et al.
IEEE Access : Practical Innovations, Open Solutions|November 23, 2021
COVID-19 Control by Computer Vision Approaches: A SurveyAnwaar Ulhaq, Jannis Born, Asim Khan, et al.
IEEE Access : Practical Innovations, Open Solutions|December 21, 2021
COVID-19 Detection Through Transfer Learning Using Multimodal Imaging DataMichael J Horry, Subrata Chakraborty, Manoranjan Paul, et al.
SLAS Technology|July 18, 2025
An integrated deep learning framework using adaptive enhanced vision fusion and modified mobilenet architecture for precision classification of skin diseases with enhanced diagnostic performanceAhsan Bilal Tariq, Muhammad Zaheer Sajid, Nauman Ali Khan, et al.
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