A novel hybrid ensemble model to predict FTSE100 index by combining neural network and EEMD. - Bashar Alhnaity; Maysam Abbod (ECC, 2015)

Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments. - Bashar Alhnaity; Simon Pearson; Georgios Leontidis; Stefanos D. Kollias (CoRR, 2019)

An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth. - Bashar Alhnaity; Stefanos D. Kollias; Georgios Leontidis; Shouyong Jiang; Bert Schamp; Simon Pearson (CoRR, 2020)

A new hybrid financial time series prediction model. - Bashar Alhnaity; Maysam Abbod (Eng. Appl. Artif. Intell., 2020)

On Analysis of Irregular Pareto Front Shapes. - Shouyong Jiang; Jinglei Guo; Bashar Alhnaity; Qingyang Zhang (EMO, 2021)

An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth. - Bashar Alhnaity; Stefanos D. Kollias; Georgios Leontidis; Shouyong Jiang; Bert Schamp; Simon Pearson (Inf. Sci., 2021)

Utilizing Machine Learning to Understand and Predict Methane Emissions in Cattle Farming with Farm-Scale Environmental and Biological Variables. - Tom Partridge; Baihua Li; Bashar Alhnaity; Qinggang Meng (ICCA, 2024)

AI for Sustainable Land Management and Greenhouse Gas Emission Forecasting: Advancing Climate Action. - Jack Cutler; Baihua Li; Bashar Alhnaity; Tom Partridge; Mike Thompson; Qinggang Meng (CACML, 2025)