[HTML][HTML] A hybrid machine learning model for classifying gene mutations in cancer using LSTM, BiLSTM, CNN, GRU, and GloVe

S Aburass, O Dorgham, J Al Shaqsi - Systems and Soft Computing, 2024 - Elsevier
In our study, we introduce a novel hybrid ensemble model that synergistically combines
LSTM, BiLSTM, CNN, GRU, and GloVe embeddings for the classification of gene mutations …

An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM

S Aburass, O Dorgham - arXiv preprint arXiv:2308.06828, 2023 - arxiv.org
This paper introduces a novel ensemble approach for question classification using state-of-
the-art models--Electra, GloVe, and LSTM. The proposed model is trained and evaluated on …

A survey: contribution of ML & DL to the detection & prevention of botnet attacks

Y EL Yamani, Y Baddi, N EL Kamoun - Journal of Reliable Intelligent …, 2024 - Springer
Abstract Machine Learning (ML) and Deep Learning (DL) are transforming the detection and
prevention of botnets, significant threats in cybersecurity. In this survey, we highlight the shift …

[PDF][PDF] Cubixel: A Novel Paradigm in Image Processing Using Three-Dimensional Pixel Representation

S Aburass - 2024 - scholar.archive.org
This paper introduces the innovative concept of the Cubixel—a three-dimensional
representation of the traditional pixel—alongside the derived metric, Volume of the Void …

[PDF][PDF] Systems and Soft Computing

S Aburass, O Dorgham, J Al Shaqsi - researchgate.net
In our study, we introduce a novel hybrid ensemble model that synergistically combines
LSTM, BiLSTM, CNN, GRU, and GloVe embeddings for the classification of gene mutations …