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Showing 20 of 194 academic articles

Modeling a High Concentrator Photovoltaic Module Using Fuzzy Rule-Based Systems

Manuel Angel Gadeo-Martos, Antonio Jesús Yuste-Delgado, Florencia Almonacid Cruz, Jose-Angel Fernandez-Prieto et al. • Energies (2019)

Currently, there is growing interest in the modeling of high concentrator photovoltaic modules, due to the importance of achieving an accurate model, to improve the knowledge and understanding of this technology and to promote its expansion...

DOAJ Open Access (DOAJ) DOI: 10.3390/en12030567

Artificial neural network modeling of mixed convection viscoelastic hybrid nanofluid across a circular cylinder with radiation effect: Case study

Syed M. Hussain, Rahimah Mahat, Nek Muhammad Katbar, Imran Ullah et al. • Case Studies in Thermal Engineering (2023)

As a result of its use in the manufacturing and construction industries, research on the flow of nanofluid is rather well-known among academics and professionals in related fields. It is helpful for electrical equipment to utilize it for co...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.csite.2023.103487

Prognostic techniques for aeroengine health assessment and Remaining Useful Life estimation

Caricato A., Ficarella A., Chiodo L. Spada • E3S Web of Conferences (2021)

Predictive maintenance is the latest frontier in the management and maintenance of many industrial assets, including aeroengines. Made possible by last decades advances in monitoring equipment and machine learning algorithms, it permits ind...

DOAJ Open Access (DOAJ) DOI: 10.1051/e3sconf/202131211017

Numerical investigation of corroded middle‐high strength pipeline subjected to combined internal pressure and axial compressive loading

Linlin Lu, Lecai Liang • Energy Science & Engineering (2021)

Abstract Buried oil and gas pipelines may face the threat of geological disasters such as landslides, faults, and floods. However, long‐term buried oil and gas pipelines often have corrosion defects, which bring greater challenges to the sa...

DOAJ Open Access (DOAJ) DOI: 10.1002/ese3.830

A geotechnical investigation on a recent gigantic rock avalanche at the Patalganga-Langsi site on the Badrinath highway of chamoli, Uttarakhand (Garhwal Himalaya), India

Biswajit Bera • Discover Geoscience (2025)

Abstract Garhwal Himalaya is one of the most landslide-prone regions in the Himalayan Belt due to its seismo-tectonic background, geological complexity, climate, geomorphological setting and large-scale human interference. A gigantic rock a...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44288-025-00238-y

An artificial neural network-based model for predicting paratransit travel time

George Ukam, Charles Adams, Atinuke Adebanji, Williams Ackaah • Cogent Engineering (2024)

The nature of paratransit services makes for increased uncertainty in trip time, leading to reported unreliability and dissatisfaction by the users. While providing travel information has proved helpful in formal bus services and has been r...

DOAJ Open Access (DOAJ) DOI: 10.1080/23311916.2024.2386383

Information models for machine vision systems

A. L. Okhotnikov • Интеллектуальный транспорт (2026)

The article examines the information models used in machine vision systems. The content of machine vision systems is disclosed in terms of their belonging to the field of information technology. Two main subsystems are described. The main i...

DOAJ Open Access (DOAJ)

Artificial neural network–based model for sleep quality prediction for frontline medical staff during major medical assistance

Qingquan Chen, Zeshun Chen, Xi Zhu, Jiajing Zhuang et al. • Digital Health (2024)

Background: The sleep quality of medical staff was severely affected during COVID-19, but the factors influencing the sleep quality of frontline staff involved in medical assistance remained unclear, and screening tools for their sleep qual...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076241287363

Integrating machine learning algorithms and explainable artificial intelligence approach for predicting patient unpunctuality in psychiatric clinics

Alireza Kasaie, Suchithra Rajendran • Healthcare Analytics (2023)

This study addresses patient unpunctuality, a major concern affecting patient waiting time, resource utilization, and quality of care. We develop and compare four machine learning models, including multinomial logistic regression, decision ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.health.2023.100242

Research in medical informatics

Sameem Abdul Kareem, Sapiyan Baba, Muaz Wahid • Health Informatics Journal (2000)

Medical informatics is concerned with the application of computers in the medical and biological sciences and has been considered a field of research in its own right for more than twenty years. In Malaysia, however, there are very few publ...

OPENALEX Open Access DOI: https://doi.org/10.1177/146045820000600209

ODE, regression, and ANN models for energy forecasting: Egypt as a study case

Mohey Eldeen H. H. Ali, Ahmed F. Tayel, Hossam M. Ezzat, Hesham A. Elkaranshawy • Alexandria Engineering Journal (2025)

Energy plays a crucial role in national development, influencing critical sectors such as industry, agriculture, healthcare, and education. Accurate energy consumption prediction is essential for efficient energy management, helping prevent...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.aej.2025.04.037

Effect of chemical treatment on the mechanical and thermal performance of flax fiber reinforced aluminium 6082 laminate: a machine learning-enhanced investigation

M. Vinod, B. S. Nithyananda, Shrishail B. Sollapur, Satish Gajbhiv et al. • Scientific Reports (2026)

Abstract This work examined the role of alkaline and epoxy-based surface chemical treatments on the mechanical and thermal properties of flax fiber reinforced Aluminum Alloy 6082 hybrid Fiber Metal Laminates (FMLs), integrated with machine ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-58852-w

Bayesian ANN-Based Prediction and Multi-Objective Optimization of Tribological Behavior in Magnesium Alloy AZ91D at Elevated Temperature Using Pareto GA

Beniyel Muthuraj, Sivapragash Murugesan, Rajesh Rajamony, Michael Thomas Rex Francis • Materials Research (2025)

This study uses an artificial neural network (ANN) model to predict the wear rate and friction coefficient of the magnesium alloy AZ91D, based on experimental data from a pin-on-disc tribometer. The model includes three essential process pa...

DOAJ Open Access (DOAJ) DOI: 10.1590/1980-5373-mr-2025-0388

Evolution of prehension ability in an anthropomorphic neurorobotic arm

Gianluca Massera, Gianluca Massera, Angelo Cangelosi, Stefano Nolfi • Frontiers in Neurorobotics (2007)

In this paper, we show how a simulated anthropomorphic robotic arm controlled by an artificial neural network can develop effective reaching and grasping behaviour through a trial and error process in which the free parameters encode the co...

DOAJ Open Access (DOAJ) DOI: 10.3389/neuro.12.004.2007

Quantum Computing in Big Data Analytics: A Survey

Tawseef Ayoub Shaikh, Rashid Ali • IEEE International Conference on Computer and Information Technology (CIT) (2016)

Big Data is a term which denotes data that is beyond storage capacity and processing capabilities of classical computer and getting some insight from large amount of data is a very big challenge at hand. Quantum Computing comes to rescue by...

OPENALEX DOI: https://doi.org/10.1109/cit.2016.79

Color‐Filter‐Free Image Sensor Using CsPbBr3 Quantum‐Dot‐Based Tamm Plasmon Photodetector for Photonic Synapse Facial Recognition

Meng‐Cheng Yen, Yung‐Chi Yao, Chia‐Jung Lee, Shi‐Hui Huang et al. • Advanced Science (2025)

Abstract This study demonstrates that optical absorption of the CsPbBr3 quantum dots can be significantly enhanced through monolithic integration with the Tamm plasmon (TP) structure. This integration enables the resulting TP photodetector ...

DOAJ Open Access (DOAJ) DOI: 10.1002/advs.202503464