A Feature-Driven Decision Support System for Heart Failure Prediction Based on χ2 Statistical Model and Gaussian Naive Bayes. - Liaqat Ali; Shafqat Ullah Khan; Noorbakhsh Amiri Golilarz; Yakubu Imrana; Iqbal Qasim; Adeeb Noor; Redhwan Nour (Comput. Math. Methods Medicine, 2019)

A bidirectional LSTM deep learning approach for intrusion detection. - Yakubu Imrana; Yanping Xiang; Liaqat Ali; Zaharawu Abdul-Rauf (Expert Syst. Appl., 2021)

χ2-BidLSTM: A Feature Driven Intrusion Detection System Based on χ2 Statistical Model and Bidirectional LSTM. - Yakubu Imrana; Yanping Xiang; Liaqat Ali; Zaharawu Abdul-Rauf; Yu-Chen Hu; Seifedine Kadry 001; Sangsoon Lim (Sensors, 2022)

HCL-Classifier: CNN and LSTM based hybrid malware classifier for Internet of Things (IoT). - Muhammed Amin Abdullah; Yongbin Yu 001; Kwabena Adu; Yakubu Imrana; Xiangxiang Wang; Jingye Cai (Future Gener. Comput. Syst., 2023)

A novel sample and feature dependent ensemble approach for Parkinson's disease detection. - Liaqat Ali; Chinmay Chakraborty; Zhiquan He; Wenming Cao 001; Yakubu Imrana; Joel J. P. C. Rodrigues (Neural Comput. Appl., 2023)

ChiGa-Net: A genetically optimized neural network with refined deeply extracted features using χ2 statistical score for trustworthy Parkinson's disease detection. - Liaqat Ali; Man-Fai Leung; Muhammad Asghar Khan; Redhwan Nour; Yakubu Imrana; Athanasios V. Vasilakos (Neurocomputing, 2025)