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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

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

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

Software engineering education

Mary Shaw • Future of Software Engineering (FOSE) (2000)

Article Free Access Share on Software engineering education: a roadmap Author: Mary Shaw Institute for Software Research, International, Carnegie Mellon University, Pittsburgh, Pa Institute for Software Research, International, Carnegie Mel...

OPENALEX DOI: https://doi.org/10.1145/336512.336592

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

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

Software engineering: Theory and practice

Rodolfo Alfredo Bertone • Journal of Computer Science and Technology (2005)

A book that describes and applies Software Engineering methods according to the state of the art of the subject matter; it is integrated with a proper exemplification and evolves as each topic is introduced. The material is designed for und...

OPENALEX cc-by-nc-sa

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

Case Study Research in Software Engineering

Per Runeson, Martin Höst, Austen Rainer, Björn Regnell • Wiley eBooks (2012)

Based on their own experiences of in-depth case studies of software projects in international corporations, in this book the authors present detailed practical guidelines on the preparation, conduct, design and reporting of case studies of ...

OPENALEX DOI: https://doi.org/10.1002/9781118181034