Muhammad Asad Arshed

According to our database, Muhammad Asad Arshed authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Unveiling AI-Generated Financial Text: A Computational Approach Using Natural Language Processing and Generative Artificial Intelligence.

Muhammad Asad Arshed, Stefan Cristian Gherghina, Christine Dewi, Asma Iqbal, Shahzad Mumtaz

Comput., May, 2024

A 16 × 16 Patch-Based Deep Learning Model for the Early Prognosis of Monkeypox from Skin Color Images.

Muhammad Asad Arshed, Hafiz Abdul Rehman, Saeed Ahmed, Christine Dewi, Henoch Juli Christanto

Comput., February, 2024

Multiclass AI-Generated Deepfake Face Detection Using Patch-Wise Deep Learning Model.

Muhammad Asad Arshed, Shahzad Mumtaz, Muhammad Ibrahim, Christine Dewi, Muhammad Tanveer, Saeed Ahmed

Comput., 2024

PlayerRank: Leveraging Learning-to-Rank AI for Player Positioning in Cricket.

Bilal Hassan, Clare Clough, Yusra Siddiqi, Rao Faizan Ali, Muhammad Asad Arshed

IEEE Access, 2024

Img2Side: A Transfer Learning Based Model for Predicting Drug Side Effects Using 2D Chemical Structural Images.

Muhammad Asad Arshed, Muhammad Ibrahim, Shahzad Mumtaz, Tenvir Ali, Gyu Sang Choi

IEEE Access, 2024

2023

Multi-Class Skin Cancer Classification Using Vision Transformer Networks and Convolutional Neural Network-Based Pre-Trained Models.

Muhammad Asad Arshed, Shahzad Mumtaz, Muhammad Ibrahim, Saeed Ahmed, Muhammad Tahir, Muhammad Shafi

Inf., 2023

Chem2Side: A Deep Learning Model with Ensemble Augmentation (Conventional + Pix2Pix) for COVID-19 Drug Side-Effects Prediction from Chemical Images.

Muhammad Asad Arshed, Muhammad Ibrahim, Shahzad Mumtaz, Muhammad Tanveer, Saeed Ahmed

Inf., 2023

DeepFinancial Model for Exchange Rate Impacts Prediction of Political and Financial Statements.

Muhammad Asad Arshed, Shahzad Mumtaz, Mehmood Hussain, Rabbia Alamdar, Malik Tahir Hassan, Muhammad Tanveer

Proceedings of the 3rd International Conference on Artificial Intelligence, 2023

2021

DeepFireNet - A Light-Weight Neural Network for Fire-Smoke Detection.

Muhammad Mubeen, Muhammad Asad Arshed, Hafiz Abdul Rehman

Proceedings of the Intelligent Technologies and Applications, 2021