Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka

N Rathnayake, U Rathnayake, TL Dang, Y Hoshino - Plos one, 2023 - journals.plos.org
Hydrologic models to simulate river flows are computationally costly. In addition to the
precipitation and other meteorological time series, catchment characteristics, including soil …

Efficient and Effective Anomaly Detection in Autonomous Vehicles: A Combination of Gradient Boosting and ANFIS Algorithms

MA Quran - International Journal of Fuzzy Systems, 2024 - Springer
The rise of autonomous vehicles has become a key indicator of smart city development.
Unlike traditional cars, which are fully operated by humans, autonomous vehicles rely on …

Precision in Insurance Forecasting: Enhancing Potential with Ensemble and Combination Models based on the Adaptive Neuro-Fuzzy Inference System in the …

A Khalil, Z Liu, A Ali - Applied Artificial Intelligence, 2024 - Taylor & Francis
Enhancing the precision of retention ratio predictions holds profound significance for
insurance industry decision-makers and those vested in advancing insurance services …

Investigating the influence of clustering techniques and parameters on a hybrid PSO-driven ANFIS model for electricity prediction

S Oladipo, Y Sun, AO Amole - Discover Applied Sciences, 2024 - Springer
The availability of reliable electrical power, which is essential for a comfortable lifestyle
worldwide, requires realistic power usage projections for electric utilities and policymakers …

Designing and Implementation of Novel Ensemble model based on ANFIS and Gradient Boosting methods for Hand Gestures Classification

N Rathnayake, T Linh Dang, Y Hoshino - Proceedings of the 11th …, 2022 - dl.acm.org
Communication through hand gestures has always been the primary method worldwide.
There are numerous methods implemented for the classification of hand gestures. However …