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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

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

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

Spatially Constrained Discontinuity Trace Extraction from 3D Point Clouds by Intersecting Boundaries Segmented

Jingsong Sima, Qiang Xu, Xiujun Dong, Haoliang Li et al. • Remote Sensing (2025)

Discontinuity trace provides critical geological data for engineering design and construction optimization. However, current extraction methods relying on discontinuity intersection fitting are highly sensitive to the segmentation accuracy ...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs17213566

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

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

A deep learning recognition model for landslide terrain based on multi-source data fusion

Jian HUANG, Xin LI, Fang CHEN, Ru CUI et al. • Zhongguo dizhi zaihai yu fangzhi xuebao (2022)

The traditional high-level remote landslide recognition efficiency which relies on the artificial discrimination of geological experts is low. In this paper, an automatic landslide terrain recognition model based on deep learning is develop...

DOAJ Open Access (DOAJ) DOI: 10.16031/j.cnki.issn.1003-8035.2022.02-05

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

Preliminary guidelines for empirical research in software engineering

Barbara Ann Kitchenham, Shari Lawrence Pfleeger, Lesley M. Pickard, Peter W. Jones et al. • IEEE Transactions on Software Engineering (2002)

Empirical software engineering research needs research guidelines to improve the research and reporting processes. We propose a preliminary set of research guidelines aimed at stimulating discussion among software researchers. They are base...

OPENALEX Open Access DOI: https://doi.org/10.1109/tse.2002.1027796

Empirical studies of software engineering

Dewayne E. Perry, Adam Porter, Lawrence G. Votta • Future of Software Engineering (FOSE) (2000)

PointersEmpirical study play a fundamental role in modern science, helping us understand how and why things work, and allowing us to use this understanding to materially alter our world.Defining and executing studies that change how softwar...

OPENALEX Open Access DOI: https://doi.org/10.1145/336512.336586

A survey of controlled experiments in software engineering

D.I.K. Sjoeberg, Jo Erskine Hannay, O. Hansen, Vigdis By Kampenes et al. • IEEE Transactions on Software Engineering (2005)

The classical method for identifying cause-effect relationships is to conduct controlled experiments. This paper reports upon the present state of how controlled experiments in software engineering are conducted and the extent to which rele...

OPENALEX Open Access DOI: https://doi.org/10.1109/tse.2005.97