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Muhammad Adeel Nisar

Showing results (1-10 of 13) with videos related to

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Sensors (Basel, Switzerland)|March 3, 2018
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable SensorsFrédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, et al.
Sensors (Basel, Switzerland)|June 25, 2020
Rank Pooling Approach for Wearable Sensor-Based ADLs RecognitionMuhammad Adeel Nisar, Kimiaki Shirahama, Frédéric Li, et al.
Sensors (Basel, Switzerland)|August 6, 2020
Deep Transfer Learning for Time Series Data Based on Sensor Modality ClassificationFrédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, et al.
Sensors (Basel, Switzerland)|September 22, 2020
AI Approaches Towards Prechtl's Assessment of General Movements: A Systematic Literature ReviewMuhammad Tausif Irshad, Muhammad Adeel Nisar, Philip Gouverneur, et al.
Sensors (Basel, Switzerland)|October 14, 2023
A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable SensorsMuhammad Adeel Nisar, Kimiaki Shirahama, Muhammad Tausif Irshad, et al.
Sensors (Basel, Switzerland)|April 3, 2021
A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory DataFatima Amjad, Muhammad Hassan Khan, Muhammad Adeel Nisar, et al.
Sensors (Basel, Switzerland)|April 13, 2023
Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data AugmentationXinyu Huang, Kimiaki Shirahama, Muhammad Tausif Irshad, et al.
Sensors (Basel, Switzerland)|January 11, 2024
A Systematic Evaluation of Feature Encoding Techniques for Gait Analysis Using Multimodal Sensory DataRimsha Fatima, Muhammad Hassan Khan, Muhammad Adeel Nisar, et al.
Computers in Biology and Medicine|September 24, 2023
Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learningXinyu Huang, Franziska Schmelter, Muhammad Tausif Irshad, et al.
Frontiers in Psychology|September 27, 2021
The Symphony of Team Flow in Virtual Teams. Using Artificial Intelligence for Its Recognition and PromotionCorinna Peifer, Anita Pollak, Olaf Flak, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|March 3, 2018
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable SensorsFrédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, et al.
Sensors (Basel, Switzerland)|June 25, 2020
Rank Pooling Approach for Wearable Sensor-Based ADLs RecognitionMuhammad Adeel Nisar, Kimiaki Shirahama, Frédéric Li, et al.
Sensors (Basel, Switzerland)|August 6, 2020
Deep Transfer Learning for Time Series Data Based on Sensor Modality ClassificationFrédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, et al.
Sensors (Basel, Switzerland)|September 22, 2020
AI Approaches Towards Prechtl's Assessment of General Movements: A Systematic Literature ReviewMuhammad Tausif Irshad, Muhammad Adeel Nisar, Philip Gouverneur, et al.
Sensors (Basel, Switzerland)|October 14, 2023
A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable SensorsMuhammad Adeel Nisar, Kimiaki Shirahama, Muhammad Tausif Irshad, et al.
Sensors (Basel, Switzerland)|April 3, 2021
A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory DataFatima Amjad, Muhammad Hassan Khan, Muhammad Adeel Nisar, et al.
Sensors (Basel, Switzerland)|April 13, 2023
Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data AugmentationXinyu Huang, Kimiaki Shirahama, Muhammad Tausif Irshad, et al.
Sensors (Basel, Switzerland)|January 11, 2024
A Systematic Evaluation of Feature Encoding Techniques for Gait Analysis Using Multimodal Sensory DataRimsha Fatima, Muhammad Hassan Khan, Muhammad Adeel Nisar, et al.
Computers in Biology and Medicine|September 24, 2023
Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learningXinyu Huang, Franziska Schmelter, Muhammad Tausif Irshad, et al.
Frontiers in Psychology|September 27, 2021
The Symphony of Team Flow in Virtual Teams. Using Artificial Intelligence for Its Recognition and PromotionCorinna Peifer, Anita Pollak, Olaf Flak, et al.
Pageof 2