Muhammad Adeel Asghar

According to our database, Muhammad Adeel Asghar authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Least complex oLSVN-based computer-aided healthcare system for brain tumor detection using MRI images.

Saqlain Razzaq, Muhammad Adeel Asghar, Abdul Wakeel, Muhammad Bilal

J. Ambient Intell. Humaniz. Comput., January, 2024

2023

An AI-empowered affect recognition model for healthcare and emotional well-being using physiological signals.

Zijian Zhou, Muhammad Adeel Asghar, Daniyal Nazir, Kamran Siddique, Mohammad Shorfuzzaman, Raja Majid Mehmood

Clust. Comput., April, 2023

AI-based Bayesian inference scheme to recognize electroencephalogram signals for smart healthcare.

Puah Jia Hong, Muhammad Adeel Asghar, Amin Ullah, Mohammad Shorfuzzaman, Mehedi Masud, Raja Majid Mehmood

Clust. Comput., April, 2023

2022

DFT-Net: Deep Feature Transformation Based Network for Object Categorization and Part Segmentation in 3-Dimensional Point Clouds.

Mehak Sheikh, Muhammad Adeel Asghar, Ruqia Bibi, Muhammad Noman Malik, Mohammad Shorfuzzaman, Raja Majid Mehmood, Sun-Hee Kim

Sensors, 2022

AI inspired EEG-based spatial feature selection method using multivariate empirical mode decomposition for emotion classification.

Muhammad Adeel Asghar, Muhammad Jamil Khan, Muhammad Rizwan, Mohammad Shorfuzzaman, Raja Majid Mehmood

Multim. Syst., 2022

2021

Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification.

Muhammad Adeel Asghar, Muhammad Jamil Khan, Humayun Shahid, Mohammad Shorfuzzaman, Neal Naixue Xiong, Raja Majid Mehmood

IEEE Access, 2021

2020

An Innovative Multi-Model Neural Network Approach for Feature Selection in Emotion Recognition Using Deep Feature Clustering.

Muhammad Adeel Asghar, Muhammad Jamil Khan, Muhammad Rizwan, Raja Majid Mehmood, Sun-Hee Kim

Sensors, 2020

2019

EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach.

Muhammad Adeel Asghar, Muhammad Jamil Khan, Fawad, Yasar Amin, Muhammad Rizwan, MuhibUr Rahman, Salman Badnava, Seyed Sajad Mirjavadi

Sensors, 2019

Image Local Features Description Through Polynomial Approximation.

Fawad, MuhibUr Rahman, Muhammad Jamil Khan, Muhammad Adeel Asghar, Yasar Amin, Salman Badnava, Seyed Sajad Mirjavadi

IEEE Access, 2019

Texture Classification using a Hybrid Deep and Handcrafted Features.

Fawad, Muhammad Adeel Asghar, Ayesha Saeed, Muhammad Jamil Khan, Muhammad Zahid, Masood Ur Rehman

Proceedings of the UK/China Emerging Technologies, 2019

A Miniaturized Wide Band Implantable Antenna for Biomedical Application.

Zubair Bashir, Muhammad Zahid, Naeem Abbas, Muhammad Yousaf, Sultan Shoaib, Muhammad Adeel Asghar, Yasar Amin

Proceedings of the UK/China Emerging Technologies, 2019

A Vision-Based Amateur Drone Detection Algorithm for Public Safety Applications.

Kainat Abbasi, Ayesha Batool, Fawad, Muhammad Adeel Asghar, Ayesha Saeed, Muhammad Jamil Khan, Masood Ur Rehman

Proceedings of the UK/China Emerging Technologies, 2019

Person Detection by Low-rank Sparse Aggregate Channel Features.

Fawad, Ayesha Saeed, Muhammad Jamil Khan, Muhammad Adeel Asghar

Proceedings of the 7th International Conference on Communications and Broadband Networking, 2019