Results 231 to 240 of about 341,454 (300)

Control of three-level quadratic DC-DC boost converters for energy systems using various technique-based MPPT methods. [PDF]

Sci Rep
Belhadj SM, Meliani B, Benbouhenni H, Colak I, Elbarbary ZMS, Al-Gahtani SF.   +5 more
europepmc   +1 more source

Multi‐Input Multi‐Output Modeling of Anthill Clay‐Bonded Sand Mold System Using Artificial Neural Networks: Forward and Reverse Predictions

Engineering Reports, Volume 7, Issue 6, June 2025.
MIMO modeling of anthill clay‐bonded sand mold system using BPNN and GA‐NN. ABSTRACT Anthill clay sand molding is characterized as a multi‐input, multi‐output system where molding sand properties, such as permeability, compression strength, collapsibility, and mold hardness, are affected by an array of process parameters, including anthill‐to‐sand ...
N. Prasad Chandran, G. C. Manjunath Patel, Ganesh R. Chate, Oguzhan Der, Chithirai Pon Selvan   +4 more
wiley   +1 more source

A novel IoT-based approach using fractional fuzzy Hamacher aggregation operators application in revolutionizing healthcare selection. [PDF]

Sci Rep
Akhtar Y, Ali M, Almaliki FA, Almarzouki RA.   +3 more
europepmc   +1 more source

Model Reference‐Based Neural Controller for Transmission Line Inspection Robot

Journal of Field Robotics, Volume 42, Issue 4, Page 1314-1332, June 2025.
ABSTRACT The regular inspection of the power transmission lines is essential for the uninterrupted transmission of electrical energy to demand points. This quickly requires actions with economically, efficiently, and safely. Therefore, the transmission line inspection robots are inevitable solution as an alternative to existing line inspection methods.
Zehra Karagöz, Nazmi Ekren, Uğur Demir, Ahmet Fevzi Baba, Mustafa Şahin   +4 more
wiley   +1 more source

AI-assisted technology optimization in disability support systems using fuzzy rough MABAC decision-making. [PDF]

Sci Rep
Ahmmad J, Al-Dayel OA, Khan MA, Mahmood T.   +3 more
europepmc   +1 more source

Improving Evaporative Loss Forecasts in Arid Climates by Integrating Machine Learning Models With Feature Selection Algorithms

JAWRA Journal of the American Water Resources Association, Volume 61, Issue 3, June 2025.
ABSTRACT Evaporation is a major water‐loss process that significantly disrupts the hydrological cycle; therefore, reliable and continuous evaporation monitoring is essential for decision‐makers in water resource management. However, hyper‐arid climates exhibit accelerated evaporation rates, complicating hydrological modeling.
Abdullah A. Alsumaiei
wiley   +1 more source

Integrating type-2 fuzzy logic controllers with digital twin and neural networks for advanced hydropower system management. [PDF]

Sci Rep
Zeng Y, Hussein ZA, Chyad MH, Farhadi A, Yu J, Rahbarimagham H.   +5 more
europepmc   +1 more source

Fuzzy Set Theory Applied on Autometrized Algebra. [PDF]

F1000Res
Tilahun GY.
europepmc   +1 more source

Analysis of the Utilization of Machine Learning to Map Flood Susceptibility

Journal of Flood Risk Management, Volume 18, Issue 2, June 2025.
ABSTRACT This article provides an analysis of the utilization of Machine Learning (ML) models in Flood Susceptibility Mapping (FSM), based on selected publications from the past decade (2013–2023). Recognizing the challenge that some stages of ML modeling inherently rely on experience or trial‐and‐error approaches, this work aims at establishing a ...
Ali Pourzangbar, Peter Oberle, Andreas Kron, Mário J. Franca   +3 more
wiley   +1 more source

A comprehensive study of recent maximum power point tracking techniques for photovoltaic systems. [PDF]

Sci Rep
Ali MH, Zakaria M, El-Tawab S.
europepmc   +1 more source