Drought forecasting: a review and assessment of the hybrid techniques and data pre-processing
Drought is a prolonged period of low precipitation that negatively impacts agriculture,
animals, and people. Over the last decades, gradual changes in drought indices have been …
animals, and people. Over the last decades, gradual changes in drought indices have been …
Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting
Operational flood control systems depend on reliable and accurate forecasts with a suitable
lead time to take necessary actions against flooding. This study proposed a Long Short …
lead time to take necessary actions against flooding. This study proposed a Long Short …
A review of the application of hybrid machine learning models to improve rainfall prediction
Rainfall is one of the most important meteorological phenomena that impacts many fields,
including agriculture, energy, water resources management, and mining, among others …
including agriculture, energy, water resources management, and mining, among others …
Optimal design and feature selection by genetic algorithm for emotional artificial neural network (EANN) in rainfall-runoff modeling
Rainfall-runoff (rr) modeling at different time scales is considered as a significant issue in
hydro-environmental planning. As a first hydrological implementation, for one-time-ahead rr …
hydro-environmental planning. As a first hydrological implementation, for one-time-ahead rr …
Machine learning as a downscaling approach for prediction of wind characteristics under future climate change scenarios
Assessment of climate change impacts on wind characteristics is crucial for the design,
operation, and maintenance of coastal and offshore infrastructures. In the present study, the …
operation, and maintenance of coastal and offshore infrastructures. In the present study, the …
The conceptual framework to determine interrelations and interactions for holistic Water, Energy, and Food Nexus
Several models with a variety of concepts and approaches have been proposed to address
different aspects of the Water-Energy-Food (WEF) nexus system. In some models, the …
different aspects of the Water-Energy-Food (WEF) nexus system. In some models, the …
Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling
SI Abba, RA Abdulkadir, SS Sammen, QB Pham… - Applied Soft …, 2022 - Elsevier
The establishment of water quality prediction models is vital for aquatic ecosystems analysis.
The traditional methods of water quality index (WQI) analysis are time-consuming and …
The traditional methods of water quality index (WQI) analysis are time-consuming and …
Enhancing Li+ recovery in brine mining: integrating next-gen emotional AI and explainable ML to predict adsorption energy in crown ether-based hierarchical …
SI Abba, J Usman, I Abdulazeez, LT Yogarathinam… - RSC …, 2024 - pubs.rsc.org
Artificial intelligence (AI) is being employed in brine mining to enhance the extraction of
lithium, vital for the manufacturing of lithium-ion batteries, through improved recovery …
lithium, vital for the manufacturing of lithium-ion batteries, through improved recovery …
[HTML][HTML] A novel artificial intelligent model for predicting air overpressure using brain inspired emotional neural network
Blasting is the live wire of mining and its operations, with air overpressure (AOp) recognised
as an end product of blasting. AOp is known to be one of the most important environmental …
as an end product of blasting. AOp is known to be one of the most important environmental …
Comparative implementation between neuro-emotional genetic algorithm and novel ensemble computing techniques for modelling dissolved oxygen concentration
SI Abba, RA Abdulkadir, SS Sammen… - Hydrological …, 2021 - Taylor & Francis
Accurate prediction of dissolved oxygen (DO) concentration is important for managing
healthy aquatic ecosystems. This study investigates the comparative potential of the …
healthy aquatic ecosystems. This study investigates the comparative potential of the …