DeepFireNet - A Light-Weight Neural Network for Fire-Smoke Detection. - Muhammad Mubeen; Muhammad Asad Arshed; Hafiz Abdul Rehman (INTAP, 2021)

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 003 (ICAI, 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 003; Shahzad Mumtaz; Muhammad Tanveer 003; Saeed Ahmed (Inf., 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 003; Saeed Ahmed; Muhammad Tahir; Muhammad Shafi (Inf., 2023)

Img2Side: A Transfer Learning Based Model for Predicting Drug Side Effects Using 2D Chemical Structural Images. - Muhammad Asad Arshed; Muhammad Ibrahim 003; Shahzad Mumtaz; Tenvir Ali; Gyu Sang Choi (IEEE Access, 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)

Multiclass AI-Generated Deepfake Face Detection Using Patch-Wise Deep Learning Model. - Muhammad Asad Arshed; Shahzad Mumtaz; Muhammad Ibrahim 003; Christine Dewi; Muhammad Tanveer 003; Saeed Ahmed (Comput., 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., 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., 2024)