Muhammad Adeel Nisar

According to our database, Muhammad Adeel Nisar authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Identification of Optimal Data Augmentation Techniques for Multimodal Time-Series Sensory Data: A Framework.

Nazish Ashfaq, Muhammad Hassan Khan, Muhammad Adeel Nisar

Inf., June, 2024

A Systematic Evaluation of Feature Encoding Techniques for Gait Analysis Using Multimodal Sensory Data.

Rimsha Fatima, Muhammad Hassan Khan, Muhammad Adeel Nisar, Rafal Doniec, Muhammad Shahid Farid, Marcin Grzegorzek

Sensors, 2024

2023

Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data.

Muhammad Tausif Irshad, Frédéric Li, Muhammad Adeel Nisar, Xinyu Huang, Martje Buss, Leonie Kloep, Corinna Peifer, Barbara Kozusznik, Anita Pollak, Adrian Pyszka, Olaf Flak, Marcin Grzegorzek

Comput. Biol. Medicine, November, 2023

Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learning.

Xinyu Huang, Franziska Schmelter, Muhammad Tausif Irshad, Artur Piet, Muhammad Adeel Nisar, Christian Sina, Marcin Grzegorzek

Comput. Biol. Medicine, November, 2023

A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors.

Muhammad Adeel Nisar, Kimiaki Shirahama, Muhammad Tausif Irshad, Xinyu Huang, Marcin Grzegorzek

Sensors, October, 2023

Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation.

Xinyu Huang, Kimiaki Shirahama, Muhammad Tausif Irshad, Muhammad Adeel Nisar, Artur Piet, Marcin Grzegorzek

Sensors, April, 2023

Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks.

Rafal Doniec, Justyna Konior, Szymon Siecinski, Artur Piet, Muhammad Tausif Irshad, Natalia Piaseczna, Md. Abid Hasan, Frédéric Li, Muhammad Adeel Nisar, Marcin Grzegorzek

Sensors, 2023

2022

SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors.

Muhammad Tausif Irshad, Muhammad Adeel Nisar, Xinyu Huang, Jana Hartz, Olaf Flak, Frédéric Li, Philip Gouverneur, Artur Piet, Kerstin M. Oltmanns, Marcin Grzegorzek

Sensors, 2022

Transformer-Based Recognition of Activities of Daily Living from Wearable Sensor Data.

Gabriela Augustinov, Muhammad Adeel Nisar, Frédéric Li, Seyed Amir Hossein Tabatabaei, Marcin Grzegorzek, Keywan Sohrabi, Sebastian J. F. Fudickar

Proceedings of the 7th International Workshop on Sensor-based Activity Recognition and Artificial Intelligence, 2022

2021

A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory Data.

Fatima Amjad, Muhammad Hassan Khan, Muhammad Adeel Nisar, Muhammad Shahid Farid, Marcin Grzegorzek

Sensors, 2021

2020

Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition.

Muhammad Adeel Nisar, Kimiaki Shirahama, Frédéric Li, Xinyu Huang, Marcin Grzegorzek

Sensors, 2020

Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification.

Frédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, Xinyu Huang, Marcin Grzegorzek

Sensors, 2020

AI Approaches towards Prechtl's Assessment of General Movements: A Systematic Literature Review.

Muhammad Tausif Irshad, Muhammad Adeel Nisar, Philip Gouverneur, Marion Rapp, Marcin Grzegorzek

Sensors, 2020

2018

Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors.

Frédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, Lukas Köping, Marcin Grzegorzek

Sensors, 2018