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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

An automated qualitative analysis of real-time systems using Timed Petri net and SPIN

Tanuja Shailesh, Ashalatha Nayak, Devi Prasad • Cogent Engineering (2024)

Verification of real-time system properties using formal models can improve system design and quality. The Timed Petri net is a formal model for modelling and designing real-time systems with time constraints. Furthermore, model checking is...

DOAJ Open Access (DOAJ) DOI: 10.1080/23311916.2024.2375100

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

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

Software Engineering Project Management

• Institute of Electrical and Electronics Engineers eBooks (2011)

From the Publisher: The 2nd edition of Thayer's popular, bestselling book presents a top-down practical view of managing a successful software engineering project. The book builds on a framework for project managements activities based on ...

OPENALEX DOI: https://doi.org/10.1109/9781118156629.ch13

Beginning Software Engineering

Rod Stephens • Wiley eBooks (2012)

Beginning Software Engineering demystifies the software engineering methodologies and techniques that professional developers use to design and build robust, efficient, and consistently reliable software. Free of jargon and assuming no prev...

OPENALEX DOI: https://doi.org/10.1002/9781119209515

Collaboration in Software Engineering: A Roadmap

Jim Whitehead • Future of Software Engineering (FOSE) (2007)

Software engineering projects are inherently cooperative, requiring many software engineers to coordinate their efforts to produce a large software system. Integral to this effort is developing shared understanding surrounding multiple arti...

OPENALEX DOI: https://doi.org/10.1109/fose.2007.4

Software engineering for security

Prémkumar Dévanbu, Stuart G. Stubblebine • Future of Software Engineering (FOSE) (2000)

Integrating Security Considerations smoothly into early life-cycle activities: uniform application of cost-benefit analyses to both functional, and security requrements; unified modeling approaches to integrate the engineering of both funct...

OPENALEX Open Access DOI: https://doi.org/10.1145/336512.336559