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Showing 18 of 18 academic articles

Theoretical basis for development of indicators for improving training and retraining of specialists and passenger road transport personnel

S. E. Bebinov, L. S. Trofimova • Вестник СибАДИ (2024)

Introduction. The theoretical basis for the development of indicators for improving the training and retraining of road transport personnel is aimed, first of all, at ensuring the results of transportation and technical operation activities...

DOAJ Open Access (DOAJ) DOI: 10.26518/2071-7296-2024-21-1-48-61

Comparison between GEANT4 and MCNP for well logging applications

Varignier Geoffrey, Fondement Valentin, Carasco Cédric, Collot Johann et al. • EPJ Web of Conferences (2023)

MCNP and GEANT4 are two reference Monte Carlo nuclear simulators, MCNP being the standard in the Oil & Gas nuclear logging industry. While performing a simulation benchmark of these two software for the purpose of “Cased Hole” wellbore eval...

DOAJ Open Access (DOAJ) DOI: 10.1051/epjconf/202328801002

Review of Supramolecular Oleogel Lubricants

Lei Wei, Minghui Xiong, Haoye Wang, Yuelin Chen et al. • Gels (2026)

Supramolecular oleogel lubricants construct a three-dimensional network structure within base oils through gelator-mediated non-covalent interactions, such as hydrogen bonding, van der Waals forces, and π–π stacking. These materials demonst...

DOAJ Open Access (DOAJ) DOI: 10.3390/gels12040338

Low-Speed Bearing Fault Diagnosis Based on ArSSAE Model Using Acoustic Emission and Vibration Signals

Syahril Ramadhan Saufi, Zair Asrar Bin Ahmad, Mohd Salman Leong, Meng Hee Lim • IEEE Access (2019)

The development of rolling element bearing fault diagnosis systems has attracted a great deal of attention due to bearing components having a high tendency toward unexpected failures. However, under low-speed operating conditions, the diagn...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2019.2909756

IoT-enabled real-time outdoor monitoring of perovskite BIPV system under real climatic conditions

Shahzad Aman, Aimal Daud Khan, Fahad Sadaqat, Adnan Daud Khan et al. • Results in Engineering (2026)

This study presents a first-of-its-kind IoT-enabled outdoor investigation of perovskite Building-Integrated Photovoltaic (BIPV) subsystems under real environmental operating conditions at Peshawar, Pakistan. Two architecturally distinct per...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rineng.2026.113915

Cascaded Dual-Observer-Based Decoupled Estimation of Mass and Track Gradient for Permanent-Magnet-Driven Electric Monorail Cranes

Qijing Qin, Ziming Kou, Shaokai Kou, Guijun Gao et al. • Actuators (2026)

Precise data regarding the overall mass of the machinery and the gradient of the track are crucial for optimizing the control of monorail cranes and enhancing energy efficiency. Within the context of electric monorail cranes (EMCs), accurat...

DOAJ Open Access (DOAJ) DOI: 10.3390/act15090479

Anaerobic Digestion, Codigestion of Food Waste, and Chicken Dung: Correlation of Kinetic Parameters with Digester Performance and On-Farm Electrical Energy Generation Potential

Khairina Jaman, Nurjannah Amir, Mohammed Ali Musa, Afifi Zainal et al. • Fermentation (2022)

Valorization of agro-food waste through anaerobic digestion (AD) is gaining prominence as alternative method of waste minimization and renewable energy production. The aim of this study was to identify the key parameters for digester perfor...

DOAJ Open Access (DOAJ) DOI: 10.3390/fermentation8010028

Dynamic characteristics of a high-speed shaft-bearing-helical gear transmission system based on full-degree-of-freedom dynamics

Xuezhong Fu, Yutong Fu, Xiaotao Yang, Yuanxing Huang et al. • Engineering Science and Technology, an International Journal (2026)

To accurately evaluate the dynamic characteristics of helical gear transmission systems under high-speed operating conditions and to address the problem that the lumped parameter model fails to accurately reflect the system’s dynamic perfor...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jestch.2026.102360

Tailoring Mission Effectiveness and Efficiency of a Ground Vehicle Using Exergy-Based Model Predictive Control (MPC)

Robert Jane, Tae Young Kim, Emily Glass, Emilee Mossman et al. • Energies (2021)

To ensure dominance over a multi-domain battlespace, energy and power utilization must be accurately characterized for the dissimilar operational conditions. Using MATLAB/Simulink in combination with multiple neural networks, we created a m...

DOAJ Open Access (DOAJ) DOI: 10.3390/en14196049

A Revision of Empirical Models of Stirling Engine Performance Using Simple Artificial Neural Networks

Enrique González-Plaza, David García, Jesús-Ignacio Prieto • Inventions (2023)

Stirling engines are currently of interest due to their adaptability to a wide range of energy sources. Since simple tools are needed to guide the sizing of prototypes in preliminary studies, this paper proposes two groups of simple models ...

DOAJ Open Access (DOAJ) DOI: 10.3390/inventions8040088

Optimization of Operational Parameters for Bio‑Oil Production from Municipal Solid Waste via Microwave Pyrolysis

Mazen Kadhim Shekedl, Farhad Salimi, Neda Azimi • Journal of Renewable Energy and Environment (2026)

The efficiency of bio-oil production from municipal solid waste was investigated using microwave-assisted pyrolysis. The effects of temperature, pyrolysis time, and microwave power on bio-oil yield were evaluated using Response Surface Meth...

DOAJ Open Access (DOAJ) DOI: 10.30501/jree.2026.563599.2716

Decentralized Distributed Sequential Neural Networks Inference on Low-Power Microcontrollers in Wireless Sensor Networks: A Predictive Maintenance Case Study

Yernazar Bolat, Iain Murray, Yifei Ren, Nasim Ferdosian • Sensors (2025)

The growing adoption of IoT applications has led to increased use of low-power microcontroller units (MCUs) for energy-efficient, local data processing. However, deploying deep neural networks (DNNs) on these constrained devices is challeng...

DOAJ Open Access (DOAJ) DOI: 10.3390/s25154595

Development of a Transfer Learning Technique for Rapid Adaptation of Thermal Compensation Models to Long-Term Machine Thermal Behavior Changes

Chia-Chin Chuang, Zheng-Wei Lin Chi, Tzu-Chien Kuo, Che-Jui Chang et al. • Machines (2026)

Structural aging and environmental changes associated with long-term operation can substantially modify the thermal behavior of machine tools, diminishing the accuracy of existing thermal compensation models. Traditional neural network appr...

DOAJ Open Access (DOAJ) DOI: 10.3390/machines14030309

Rapid Deployment of Deep Learning-Based Condition Monitoring for Rotating Machines

Aleksanteri Hamalainen, Aku Karhinen, Jesse Miettinen, Zacharias Dahl et al. • IEEE Access (2025)

Rotating machines are extremely common in many industries, and their maintenance involves substantial costs and labor. Most recent studies aiming to automate fault diagnosis have focused on deep learning, but industry adoption has been slow...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3627885

Membrane surface wettability and roughness under operating conditions and their implications for membrane performance

Rawda Serag, M. Bassyouni, Fathy Shokry, Monica Toderaș et al. • Desalination and Water Treatment (2026)

Membrane wettability is an important factor influencing separation efficiency, fouling resistance, water flux, and durability. Although membrane wetting has been extensively studied, few reviews have quantitatively examined the relationship...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dwt.2026.101951