[HTML][HTML] Random vector functional link network: recent developments, applications, and future directions
Neural networks have been successfully employed in various domains such as
classification, regression and clustering, etc. Generally, the back propagation (BP) based …
classification, regression and clustering, etc. Generally, the back propagation (BP) based …
[HTML][HTML] Opportunities and challenges of machine learning in bioprocesses: categorization from different perspectives and future direction
Recent advances in machine learning (ML) have revolutionized an extensive range of
research and industry fields by successfully addressing intricate problems that cannot be …
research and industry fields by successfully addressing intricate problems that cannot be …
Hybrid decision tree-based machine learning models for short-term water quality prediction
Water resources are the foundation of people's life and economic development, and are
closely related to health and the environment. Accurate prediction of water quality is the key …
closely related to health and the environment. Accurate prediction of water quality is the key …
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning
The reliable control of wave energy devices highly relies on the forecasts of wave heights.
However, the dynamic characteristics and significant fluctuation of waves' historical data …
However, the dynamic characteristics and significant fluctuation of waves' historical data …
Survey of lévy flight-based metaheuristics for optimization
J Li, Q An, H Lei, Q Deng, GG Wang - Mathematics, 2022 - mdpi.com
Lévy flight is a random walk mechanism which can make large jumps at local locations with
a high probability. The probability density distribution of Lévy flight was characterized by …
a high probability. The probability density distribution of Lévy flight was characterized by …
Predicting Rainfall‐Induced Soil Erosion Based on a Hybridization of Adaptive Differential Evolution and Support Vector Machine Classification
Soil erosion induced by rainfall is a critical problem in many regions in the world, particularly
in tropical areas where the annual rainfall amount often exceeds 2000 mm. Predicting soil …
in tropical areas where the annual rainfall amount often exceeds 2000 mm. Predicting soil …
Water treatment and artificial intelligence techniques: a systematic literature review research
As clean water can be considered among the essentials of human life, there is always a
requirement to seek its foremost and high quality. Water primarily becomes polluted due to …
requirement to seek its foremost and high quality. Water primarily becomes polluted due to …
Multi-step ahead hourly forecasting of air quality indices in Australia: Application of an optimal time-varying decomposition-based ensemble deep learning algorithm
Recently, researchers have prioritized the accurate forecasting of the particulate matter (PM)
air quality indicators PM 2.5 and PM 10 in urban and industrial locations due to their …
air quality indicators PM 2.5 and PM 10 in urban and industrial locations due to their …
A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification
Due to the inefficiency of gradient-based iterative ways in network training, randomization-
based neural networks usually offer non-iterative closed form solutions. The random vector …
based neural networks usually offer non-iterative closed form solutions. The random vector …
A complete proposed framework for coastal water quality monitoring system with algae predictive model
NAP Rostam, NHAH Malim, R Abdullah… - IEEE …, 2021 - ieeexplore.ieee.org
An end-to-end process to achieve a complete framework methodology for Harmful Algal
Bloom (HAB) growth prediction is crucial for water management, especially in implementing …
Bloom (HAB) growth prediction is crucial for water management, especially in implementing …