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Muhammad Tausif Irshad

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

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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 13, 2023
Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data AugmentationXinyu Huang, Kimiaki Shirahama, Muhammad Tausif Irshad, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Symmetric Projection Attractor Reconstruction Analysis as a Method to Assess Seismocardiogram Quality in a Healthy PopulationSzymon Siecinski, Muhammad Tausif Irshad, Md Abid Hasan, 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.
Sensors (Basel, Switzerland)|July 8, 2023
Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural NetworksRafał Doniec, Justyna Konior, Szymon Sieciński, et al.
Sensors (Basel, Switzerland)|October 27, 2022
SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable SensorsMuhammad Tausif Irshad, Muhammad Adeel Nisar, Xinyu Huang, et al.
Scientific Reports|November 28, 2024
Predicting executive functioning from walking features in Parkinson's disease using machine learningArtur Piet, Johanna Geritz, Pascal Garcia, et al.
Computers in Biology and Medicine|September 28, 2023
Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion dataMuhammad Tausif Irshad, Frédéric Li, Muhammad Adeel Nisar, et al.
Pageof 1

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

Sort By:
Pageof 1
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 13, 2023
Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data AugmentationXinyu Huang, Kimiaki Shirahama, Muhammad Tausif Irshad, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Symmetric Projection Attractor Reconstruction Analysis as a Method to Assess Seismocardiogram Quality in a Healthy PopulationSzymon Siecinski, Muhammad Tausif Irshad, Md Abid Hasan, 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.
Sensors (Basel, Switzerland)|July 8, 2023
Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural NetworksRafał Doniec, Justyna Konior, Szymon Sieciński, et al.
Sensors (Basel, Switzerland)|October 27, 2022
SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable SensorsMuhammad Tausif Irshad, Muhammad Adeel Nisar, Xinyu Huang, et al.
Scientific Reports|November 28, 2024
Predicting executive functioning from walking features in Parkinson's disease using machine learningArtur Piet, Johanna Geritz, Pascal Garcia, et al.
Computers in Biology and Medicine|September 28, 2023
Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion dataMuhammad Tausif Irshad, Frédéric Li, Muhammad Adeel Nisar, et al.
Pageof 1