Muhammad Adeel Nisar

Orcid: 0000-0003-3288-750X

According to our database1, Muhammad Adeel Nisar authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Identification of Optimal Data Augmentation Techniques for Multimodal Time-Series Sensory Data: A Framework.
Inf., June, 2024

A Systematic Evaluation of Feature Encoding Techniques for Gait Analysis Using Multimodal Sensory Data.
Sensors, 2024

2023
Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data.
Comput. Biol. Medicine, November, 2023

Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learning.
Comput. Biol. Medicine, November, 2023

A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors.
Sensors, October, 2023

Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation.
Sensors, April, 2023

Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks.
Sensors, 2023

2022
SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors.
Sensors, 2022

Transformer-Based Recognition of Activities of Daily Living from Wearable Sensor Data.
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.
Sensors, 2021

2020
Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition.
Sensors, 2020

Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification.
Sensors, 2020

AI Approaches towards Prechtl's Assessment of General Movements: A Systematic Literature Review.
Sensors, 2020

2018
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors.
Sensors, 2018


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