[HTML][HTML] Data-driven modelling of soil moisture dynamics for smart irrigation scheduling

E Bwambale, FK Abagale, GK Anornu - Smart Agricultural Technology, 2023 - Elsevier
In the face of increasing water scarcity and uncertainties of climate change, improving crop
water use efficiency and productivity, while minimizing negative environmental impacts, is …

An impulsive noise filter for rail vibration measurements using a laser Doppler vibrometer on a moving platform

K Kaynardag, C Yang, S Salamone - Mechanical Systems and Signal …, 2025 - Elsevier
This paper proposes a new impulsive noise (ie, IN) filter for non-contact rail vibration
measurements performed by a laser Doppler vibrometer (ie, LDV) placed on a moving rail …

Short-Term Forecasting of Electric Vehicle Load Using Time Series, Machine Learning, and Deep Learning Techniques

G Vishnu, D Kaliyaperumal, PB Pati, A Karthick… - World Electric Vehicle …, 2023 - mdpi.com
Electric vehicles (EVs) are inducing revolutionary developments to the transportation and
power sectors. Their innumerable benefits are forcing nations to adopt this sustainable …

[HTML][HTML] Forecasting maximum formwork pressure for self-compacting concrete using ARX-Laguerre machine learning model

T Najeh, Y Gamil, J Nilimaa - Developments in the Built Environment, 2024 - Elsevier
Forecasting the maximum pressure exerted by cast-in-place self-compacting concrete (SCC)
is a major concern for formwork designers, researchers, and site engineers to accurately …

Localizing structural damage based on auto-regressive with exogenous input model parameters and residuals using a support vector machine based learning …

B Gunes - Frontiers of Structural and Civil Engineering, 2024 - Springer
Abstract Machine learning algorithms operating in an unsupervised fashion has emerged as
promising tools for detecting structural damage in an automated fashion. Its essence relies …

Advanced Control Algorithm for FADEC Systems in the Next Generation of Turbofan Engines to Minimize Emission Levels

M Aghasharifian Esfahani, M Namazi, T Nikolaidis… - Mathematics, 2022 - mdpi.com
New propulsion systems in aircrafts must meet strict regulations and emission limitations.
The Flightpath 2050 goals set by the Advisory Council for Aviation Research and Innovation …

A Comparative Analysis of ARX and ANFIS Models for Tumor Growth Prediction Under Single and Multi-agent Chemotherapy

SG Liliopoulos, GS Stavrakakis… - Anticancer Research, 2024 - ar.iiarjournals.org
Background/Aim: Despite the advances in oncology and cancer treatment over the past
decades, cancer remains one of the deadliest diseases. This study focuses on further …

Long-range, time-varying statistical prediction of annual precipitation in a Mediterranean remote site

N Diodato, M Lanfredi, G Bellocchi - Environmental Research …, 2023 - iopscience.iop.org
In the Mediterranean basin, climate change signals are often representative of atmospheric
transients in precipitation patterns. Remote mountaintop rainfall stations are far from human …

Modelling and control of wind turbines with aeroelastically tailoring blades

RB Hussain - 2023 - stax.strath.ac.uk
The increased size of wind turbines (WTs) improves power generation efficiency but also
imposes larger loading effects on the turbine system. A wind turbine with an aeroelastic …

Artificial Intelligence-Based Techniques for Conformity Assessment Testing of Household Appliances: A Review

IK Molepo, ED Markus, AM Abu-Mahfouz - Available at SSRN 4983866 - papers.ssrn.com
The potential of artificial intelligence (AI) techniques to enhance conformity assessment in
the testing, inspection, and certification (TIC) processes has garnered attention within the …