Incorporating sparse model machine learning in designing cultural heritage landscapes

P Goodarzi, M Ansari, FP Rahimian… - Automation in …, 2023 - Elsevier
Managing, protecting, and the evolutionary development of historical landscapes require
robust frameworks and processes for forming datasets and advanced decision support tools …

Predicting the performance and emissions of an HCCI-DI engine powered by waste cooking oil biodiesel with Al2O3 and FeCl3 nano additives and gasoline injection …

GML Leo, R Jayabal, D Srinivasan, MC Das, M Ganesh… - Fuel, 2024 - Elsevier
This study presents a novel method for predicting the performance and emissions of a
Homogeneous Charge Compression Ignition-Direct Injection (HCCI-DI) engine fuelled by …

[HTML][HTML] Fuzzy logic type-2 intelligent moisture control system

M Woźniak, J Szczotka, A Sikora, A Zielonka - Expert Systems with …, 2024 - Elsevier
In this article we present a model of adjustable moisture control for historical buildings.
Proposed system is developed in a form of flexible IoT infrastructure in which a complex …

[HTML][HTML] Artificial intelligence-enhanced non-destructive defect detection for civil infrastructure

Y Zhang, CL Chow, D Lau - Automation in Construction, 2025 - Elsevier
As civil engineering projects become more complex, ensuring the integrity of infrastructure is
essential. Traditional inspection methods may damage structures, highlighting the need for …

A hybrid artificial neural network—Particle swarm optimization algorithm model for the determination of target displacements in mid-rise regular reinforced-concrete …

MF Işık, F Avcil, E Harirchian, MA Bülbül… - Sustainability, 2023 - mdpi.com
The realistic determination of damage estimation and building performance depends on
target displacements in performance-based earthquake engineering. In this study, target …

Novel base predictive model of resilient modulus of compacted subgrade soils by using interpretable approaches with graphical user interface

L Alkhattabi, K Arif - Materials Today Communications, 2024 - Elsevier
The flexible pavement system consists of layers that are made up of a blend of aggregates
and bitumen. To design flexible pavement systems that are both safe and environmentally …

Burr constitution analysis in ultrasonic-assisted drilling of CFRP/nano-graphene via experimental and data-driven methodologies

M Baraheni, BH Soudmand, S Amini… - Journal of …, 2024 - journals.sagepub.com
In this study, a comprehensive investigation was undertaken to analyze the impact of various
factors on thrust force and burr damage in carbon fiber reinforced polymer laminates during …

Automated progress monitoring of land development projects using unmanned aerial vehicles and machine learning

JY Han, CR Hsu, CJ Huang - Automation in Construction, 2024 - Elsevier
In land development projects, effective control of the engineering progress is crucial for
managing construction quality and costs. However, the conventional approach to monitoring …

[HTML][HTML] Predicting and managing risk interactions and systemic risks in infrastructure projects using machine learning

A Moussa, M Ezzeldin, W El-Dakhakhni - Automation in Construction, 2024 - Elsevier
Infrastructure projects often encounter performance challenges, such as cost overruns and
safety issues, due to complex risk interactions and systemic risks. Existing literature treats …

Evaluating the canopy chlorophyll density of maize at the whole growth stage based on multi-scale UAV image feature fusion and machine learning methods

L Zhou, C Nie, T Su, X Xu, Y Song, D Yin, S Liu, Y Liu… - Agriculture, 2023 - mdpi.com
Maize is one of the main grain reserve crops, which directly affects the food security of the
country. It is extremely important to evaluate the growth status of maize in a timely and …