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Towards a new software quality model for evaluation the quality of gamified systems

Omaz Azouz, Youssef Lefdaoui • EAI Endorsed Transactions on Creative Technologies (2018)

Due to the emergence of the Gamification concept in various domains, this article studies how to improve the quality of gamified systems with the software engineering discipline. Recent studies have shown a significant gap between design fr...

DOAJ Open Access (DOAJ) DOI: 10.4108/eai.16-1-2018.153640

Identification and structural analysis of the interactional effect of the change drivers on the field of education

Zohre Rahsepar, Keyvan Salehi, Mitra Ezati, Mohammad Mehdi Zolfaghar Zade Kermani • فصلنامه نوآوری‌های آموزشی (2019)

Due to its wide range and importance, the education system has very important and complex elements that if we neglect to monitor their future variations, it can lead to undeniable and profound damages to the results that are expected to be ...

DOAJ Open Access (DOAJ) DOI: 10.22034/jei.2019.92888

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

Switchable half-metallicity in A-type antiferromagnetic NiI2 bilayer coupled with ferroelectric In2Se3

Yaping Wang, Xinguang Xu, Xian Zhao, Weixiao Ji et al. • npj Computational Materials (2022)

Abstract Electrically controlled half-metallicity in antiferromagnets is of great significance for both fundamental research and practical application. Here, by constructing van der Waals heterostructures composed of two-dimensional (2D) A-...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41524-022-00904-6

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

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

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

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

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

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

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