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Optimal pre-train/fine-tune strategies for accurate material property predictions

Reshma Devi, Keith T. Butler, Gopalakrishnan Sai Gautam • npj Computational Materials (2024)

Abstract A pathway to overcome limited data availability in materials science is to use the framework of transfer learning, where a pre-trained (PT) machine learning model (on a larger dataset) can be fine-tuned (FT) on a target (smaller) d...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41524-024-01486-1

Comparison of Neighborhood-Scale, Residential Property Flood-Loss Assessment Methodologies

Rubayet Bin Mostafiz, Carol J. Friedland, Md Asif Rahman, Robert V. Rohli et al. • Frontiers in Environmental Science (2021)

Leading flood loss estimation models include Federal Emergency Management Agency’s (FEMA’s) Hazus, FEMA’s Flood Assessment Structure Tool (FAST), and (U.S.) Hydrologic Engineering Center’s Flood Impact Analysis (HEC-FIA), with each requirin...

DOAJ Open Access (DOAJ) DOI: 10.3389/fenvs.2021.734294

Investigation of a Low-Speed Commutation Voltage Shock Problem in Three-Level ANPC Inverter with Hybrid Modulation Mode

Jian Yu, Renhui Shen, Le Zhou, Zelin Jia et al. • Machines (2023)

With the development of the photovoltaic industry; there will be an increasing demand for efficient, high-power density, and low-cost grid interface converters. Compared with two-level inverters, multilevel inverters have the following adva...

DOAJ Open Access (DOAJ) DOI: 10.3390/machines12010027

Tag Clouds for Software Documents Visualization

Ra'fat Ahmad Al-msie'deen • JOIV: International Journal on Informatics Visualization (2019)

Legacy software documents are hard to understand and visualize. The tag cloud technique helps software developers to visualize the contents of software documents. A tag cloud is a well-known and simple visualization technique. This paper pr...

DOAJ Open Access (DOAJ) DOI: 10.30630/joiv.3.4.285

LncRNA-Top: Controlled deep learning approaches for lncRNA gene regulatory relationship annotations across different platforms

Weidun Xie, Xingjian Chen, Zetian Zheng, Fuzhou Wang et al. • iScience (2023)

Summary: By soaking microRNAs (miRNAs), long non-coding RNAs (lncRNAs) have the potential to regulate gene expression. Few methods have been created based on this mechanism to anticipate the lncRNA-gene relationship prediction. Hence, we pr...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.isci.2023.108197

Multi-Objective Hybrid Optimization for Optimal Sizing of a Hybrid Renewable Power System for Home Applications

Md. Arif Hossain, Ashik Ahmed, Shafiqur Rahman Tito, Razzaqul Ahshan et al. • Energies (2022)

An optimal energy mix of various renewable energy sources and storage devices is critical for a profitable and reliable hybrid microgrid system. This work proposes a hybrid optimization method to assess the optimal energy mix of wind, photo...

DOAJ Open Access (DOAJ) DOI: 10.3390/en16010096

Hybrid heterogeneous ensemble learning framework for flood susceptibility mapping in Balochistan, Pakistan

Muhammad Afaq Hussain, Zhanlong Chen, Biswajeet Pradhan, Sansar Raj Meena et al. • Journal of Hydrology: Regional Studies (2025)

Study region: The National Highways 85 and 50, key routes of the China–Pakistan Economic Corridor (CPEC) in Balochistan, Pakistan. Study focus: Flooding is a natural disaster that is becoming increasingly frequent and severe. The National H...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ejrh.2025.102718

Automated wound care by employing a reliable U-Net architecture combined with ResNet feature encoders for monitoring chronic wounds

Maali Alabdulhafith, Abduljabbar S. Ba Mahel, Nagwan Abdel Samee, Noha F. Mahmoud et al. • Frontiers in Medicine (2024)

Quality of life is greatly affected by chronic wounds. It requires more intensive care than acute wounds. Schedule follow-up appointments with their doctor to track healing. Good wound treatment promotes healing and fewer problems. Wound ca...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2024.1310137

A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming

Shah Nazir, Sulaiman Khan, Habib Ullah Khan, Shaukat Ali et al. • IEEE Access (2020)

Healthcare systems are transformed digitally with the help of medical technology, information systems, electronic medical records, wearable and smart devices, and handheld devices. The advancement in the medical big data, along with the ava...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.2995572

Experimental study on start-up and steady-state heat transfer performance of heat pipe with liquid bypass line for accelerating working fluid

Youngmi Baek, Euiguk Jung • Case Studies in Thermal Engineering (2022)

This study investigates the start-up and steady-state heat transfer performance of a heat pipe with a bypass line for accelerating a working fluid. The interface resistance by the counterflow of vapor and liquid under the operation of a hea...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.csite.2021.101708

Model Optimasi SVM Dengan PSO-GA dan SMOTE Dalam Menangani High Dimensional dan Imbalance Data Banjir

Raenald Syaputra, Taghfirul Azhima Yoga Siswa, Wawan Joko Pranoto • Teknika (2024)

Banjir merupakan salah satu bencana alam yang sering terjadi di Indonesia, termasuk di Kota Samarinda dengan 18-33 titik desa terdampak dari tahun 2018-2021. Penggunaan machine learning dalam mengklasifikasi bencana banjir sangat penting un...

DOAJ Open Access (DOAJ) DOI: 10.34148/teknika.v13i2.876

A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning

Cameron J. Hargreaves, Michael W. Gaultois, Luke M. Daniels, Emma J. Watts et al. • npj Computational Materials (2023)

Abstract The application of machine learning models to predict material properties is determined by the availability of high-quality data. We present an expert-curated dataset of lithium ion conductors and associated lithium ion conductivit...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41524-022-00951-z

MacroSwarm: A Field-based Compositional Framework for Swarm Programming

Gianluca Aguzzi, Roberto Casadei, Mirko Viroli • Logical Methods in Computer Science (2025)

Swarm behaviour engineering is an area of research that seeks to investigate methods and techniques for coordinating computation and action within groups of simple agents to achieve complex global goals like pattern formation, collective mo...

DOAJ Open Access (DOAJ) DOI: 10.46298/lmcs-21(3:13)2025

Non-Motorized License Plate Recognition and Localization Method Based on Semantic Alignment and Hierarchical Optimization

TAN Ruoqi, DONG Minggang, ZHAO Weixiao, WU Tianhao • Jisuanji gongcheng (2024)

Holding non-motorized vehicles accountable for legal violations effectively enhances urban traffic safety. Non-motorized vehicle license plates are characterized by small size, dense distribution, and ease of being obscured, which leads to ...

DOAJ Open Access (DOAJ) DOI: 10.19678/j.issn.1000-3428.0068590

A Novel Construction Method of Bayesian Neural Networks Based on Multi-type Engineering Knowledge

Wenbin Ye, YanZhou Duan, Jun Yuan, Jixu Wang et al. • International Journal of Computational Intelligence Systems (2026)

Abstract In the field of engineering, the utilization of surrogate models to replace computationally intensive simulation software has become a widely adopted approach. However, when addressing complex engineering problems, the costs of sim...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44196-026-01214-1