A Hybrid Machine Learning Model for Classifying Gene Mutations in Cancer using LSTM, BiLSTM, CNN, GRU, and GloVe. - Sanad Aburass; Osama M. Dorgham; Jamil Al Shaqsi (CoRR, 2023)

Performance Evaluation of Swin Vision Transformer Model using Gradient Accumulation Optimization Technique. - Sanad Aburass; Osama M. Dorgham (CoRR, 2023)

An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM. - Sanad Aburass; Osama M. Dorgham (CoRR, 2023)

Quantifying Overfitting: Introducing the Overfitting Index. - Sanad Aburass (CoRR, 2023)

Optimizing Customer Response Prediction in Auto Insurance: A Comparative Study of Machine Learning Models. - Sanad Aburass; Osama M. Dorgham; Jamil Al Shaqsi; Maha Abu Rumman; Ahmed Al Zarouni (ICCR, 2024)

Framework for Enhanced Digital Image Transmission Security: Integrating Hu Moments, Digital Watermarking, and Cryptographic Hashing for Integrity Verification. - Osama M. Dorgham; Sanad Aburass; Ghassan F. Issa (ICCR, 2024)

Gaussian-Modulated Sine Wave. - Sanad Aburass (ICECET, 2024)

Quantifying Overfitting: Introducing the Overfitting Index. - Sanad Aburass; Maha Abu Rumman (ICECET, 2024)

Volumetric Feature Extraction from 2D Images Using Cubixels. - Sanad Aburass; Maha Abu Rumman (ICMLA, 2024)

Grasshopper Optimization Algorithm and Neural Network Classifier for Detection and Classification of Barley Leaf Diseases. - Osama M. Dorgham; G. Abu-Shareah; Omar A. Alzubi; Jamil Al Shaqsi; Sanad Aburass; Mohammed Azmi Al-Betar (IEEE Open J. Comput. Soc., 2024)

Authenticity in authorship: the Writer's Integrity framework for verifying human-generated text. - Sanad Aburass; Maha Abu Rumman (Ethics Inf. Technol., 2024)

Cubixel: a novel paradigm in image processing using three-dimensional pixel representation. - Sanad Aburass (Multim. Tools Appl., 2025)