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Sensors (Basel, Switzerland)
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January 11, 2025
Vision Sensor for Automatic Recognition of Human Activities via Hybrid Features and Multi-Class Support Vector Machine
Saleha Kamal, Haifa F Alhasson, Mohammed Alnusayri, et al.
Peerj. Computer Science
|
June 26, 2025
Multimodal scene recognition using semantic segmentation and deep learning integration
Aysha Naseer, Mohammed Alnusayri, Haifa F Alhasson, et al.
Sensors (Basel, Switzerland)
|
January 25, 2025
A Hybrid Approach for Sports Activity Recognition Using Key Body Descriptors and Hybrid Deep Learning Classifier
Muhammad Tayyab, Sulaiman Abdullah Alateyah, Mohammed Alnusayri, et al.
Scientific Reports
|
May 20, 2026
Advancing Arabic automated essay scoring through cross-encoder BERT models and interpretable explanations
Ayman Mohamed Mostafa, Meshrif Alruily, Hisham Allahem, et al.
Peerj. Computer Science
|
June 26, 2025
MAPE-ViT: multimodal scene understanding with novel wavelet-augmented Vision Transformer
Muhammad Waqas Ahmed, Touseef Sadiq, Hameedur Rahman, et al.
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Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Sensors (Basel, Switzerland)
|
January 11, 2025
Vision Sensor for Automatic Recognition of Human Activities via Hybrid Features and Multi-Class Support Vector Machine
Saleha Kamal, Haifa F Alhasson, Mohammed Alnusayri, et al.
Peerj. Computer Science
|
June 26, 2025
Multimodal scene recognition using semantic segmentation and deep learning integration
Aysha Naseer, Mohammed Alnusayri, Haifa F Alhasson, et al.
Sensors (Basel, Switzerland)
|
January 25, 2025
A Hybrid Approach for Sports Activity Recognition Using Key Body Descriptors and Hybrid Deep Learning Classifier
Muhammad Tayyab, Sulaiman Abdullah Alateyah, Mohammed Alnusayri, et al.
Scientific Reports
|
May 20, 2026
Advancing Arabic automated essay scoring through cross-encoder BERT models and interpretable explanations
Ayman Mohamed Mostafa, Meshrif Alruily, Hisham Allahem, et al.
Peerj. Computer Science
|
June 26, 2025
MAPE-ViT: multimodal scene understanding with novel wavelet-augmented Vision Transformer
Muhammad Waqas Ahmed, Touseef Sadiq, Hameedur Rahman, et al.
Page
of 1