Syed Muhammad Usman

According to our database, Syed Muhammad Usman authored at least 12 papers between 2017 and 2024.

Collaborative distances:

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

2024

Automated lesion detection in cotton leaf visuals using deep learning.

Frnaz Akbar, Yassine Aribi, Syed Muhammad Usman, Hamzah Faraj, Ahmed Murayr, Fawaz Alasmari, Shehzad Khalid

PeerJ Comput. Sci., 2024

Advancing Emotional Health Assessments: A Hybrid Deep Learning Approach Using Physiological Signals for Robust Emotion Recognition.

Amna Waheed Awan, Imran Taj, Shehzad Khalid, Syed Muhammad Usman, Ali Shariq Imran, Muhammad Usman Akram

IEEE Access, 2024

2022

An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications.

Syed Mohsin Ali Shah, Syed Muhammad Usman, Shehzad Khalid, Ikram Ur Rehman, Aamir Anwar, Saddam Hussain, Syed Sajid Ullah, Hela Elmannai, Abeer D. Algarni, Waleed Manzoor

Sensors, 2022

Malware Detection in Internet of Things (IoT) Devices Using Deep Learning.

Sharjeel Riaz, Shahzad Latif, Syed Muhammad Usman, Syed Sajid Ullah, Abeer D. Algarni, Amanullah Yasin, Aamir Anwar, Hela Elmannai, Saddam Hussain

Sensors, 2022

An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals.

Amna Waheed Awan, Syed Muhammad Usman, Shehzad Khalid, Aamir Anwar, Roobaea Alroobaea, Saddam Hussain, Jasem Almotiri, Syed Sajid Ullah, Muhammad Usman Akram

Sensors, 2022

Intrusion Detection in Smart IoT Devices for People with Disabilities.

Muhammad Naveed, Syed Muhammad Usman, Muhammad Islam Satti, Sama Aleshaiker, Aamir Anwar

Proceedings of the IEEE International Smart Cities Conference, 2022

2021

Classification of Agriculture Farm Machinery Using Machine Learning and Internet of Things.

Muhammad Waleed, Tai-Won Um, Tariq Kamal, Syed Muhammad Usman

Symmetry, 2021

A deep learning based ensemble learning method for epileptic seizure prediction.

Syed Muhammad Usman, Shehzad Khalid, Sadaf Bashir

Comput. Biol. Medicine, 2021

2020

Principle components analysis for seizures prediction using wavelet transform.

Syed Muhammad Usman, Shahzad Latif, Arshad Beg

CoRR, 2020

Epileptic Seizures Prediction Using Deep Learning Techniques.

Syed Muhammad Usman, Shehzad Khalid, Muhammad Haseeb Aslam

IEEE Access, 2020

2018

Efficient Prediction and Classification of Epileptic Seizures Using EEG Data Based on Univariate Linear Features.

Syed Muhammad Usman, Ali Hassan

J. Comput., 2018

2017

Epileptic Seizures Prediction Using Machine Learning Methods.

Syed Muhammad Usman, Muhammad Usman, Simon Fong

Comput. Math. Methods Medicine, 2017