Bashar Alhnaity

According to our database, Bashar Alhnaity authored at least 8 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Proceedings of the 4th Asia Conference on Algorithms, Computing and Machine Learning, 2025

2024

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

Proceedings of the International Conference on Computer and Applications, 2024

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

On Analysis of Irregular Pareto Front Shapes.

Shouyong Jiang, Jinglei Guo, Bashar Alhnaity, Qingyang Zhang

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

2020

A new hybrid financial time series prediction model.

Bashar Alhnaity, Maysam Abbod

Eng. Appl. Artif. Intell., 2020

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

2019

Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments.

Bashar Alhnaity, Simon Pearson, Georgios Leontidis, Stefanos D. Kollias

CoRR, 2019

2015

A novel hybrid ensemble model to predict FTSE100 index by combining neural network and EEMD.

Bashar Alhnaity, Maysam Abbod

Proceedings of the 14th European Control Conference, 2015