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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

THE PROPERNESS OF ADOBE FLASH BASIS INTERACTIVE MEDIA FOR RESPIRATORY SYSTEM LEARNING MATERIAL

Nurbaiti Nurbaiti, Ruqiah Ganda Putri Panjaitan, Titin Titin • Unnes Science Education Journal (2017)

This study aimed to determine the feasibility of adobe flash-based interactive media on the material of respiratory system. This research was a descriptive qualitative. The data were validated by using questionnaire. The validation was done...

DOAJ Open Access (DOAJ) DOI: 10.15294/usej.v6i3.20350

Music Genre Recommendations Based on Spectrogram Analysis Using Convolutional Neural Network Algorithm with RESNET-50 and VGG-16 Architecture

nyoman purnama • JISA (Jurnal Informatika dan Sains) (2022)

Recommendations are a very useful tool in many industries. Recommendations provide the best selection of what the user wants and provide satisfaction compared to ordinary searches. In the music industry, recommendations are used to provide ...

DOAJ Open Access (DOAJ) DOI: 10.31326/jisa.v5i1.1270

An Intelligent Fuzzy System for Diabetes Disease Detection using Harris Hawks Optimization

Zahra Asghari Varzaneh, Soodeh Hosseini • Journal of Artificial Intelligence and Data Mining (2023)

This paper proposed a fuzzy expert system for diagnosing diabetes. In the proposed method, at first, the fuzzy rules are generated based on the Pima Indians Diabetes Database (PIDD) and then the fuzzy membership functions are tuned using th...

DOAJ Open Access (DOAJ) DOI: 10.22044/jadm.2023.12383.2383

Pengembangan Sistem Informasi DataRawat Berbasis Web

Shafira Putri Ananda, Muhammad Fakhrurrifqi, Divi Galih Prasetyo Putri, Risti Wijayanti • Journal of Internet and Software Engineering (2023)

Rekam medis adalah catatan kesehatan pasien berdasarkan hasil pemeriksaan, pengobatan, tindakan, dan layanan yang telah diberikan kepada pasien. Beberapa instansi medis telah menggunakan sistem rekam medis elektronik atau Electronic Medical...

DOAJ Open Access (DOAJ) DOI: 10.22146/jise.v4i2.8540

Clustering Ensemble Joint Similarity Recommendation Algorithm Optimized by Improved Bee Colony

WANG Yan, WANG Congying, SHEN Yanmei • Jisuanji gongcheng (2020)

The collaborative filtering algorithm is widely used in the field of recommendation because of its good recommendation effect,which nonetheless is significantly reduced when the data is sparse and from a cold start.In this case,in order to ...

DOAJ Open Access (DOAJ) DOI: 10.19678/j.issn.1000-3428.0055939

Progressive suppression of regulated cell death defines terminal macrophage states in liver cirrhosis

Kepu Zheng, Leiyang Dai, Yanghui Wen, Haitao Jiang et al. • Annals of Medicine (2026)

Background Macrophages are central regulators of liver immunity and fibrosis; Recent single-cell studies have characterized macrophage heterogeneity in cirrhosis; however, how regulated cell death programs shape their functional transitions...

DOAJ Open Access (DOAJ) DOI: 10.1080/07853890.2026.2690717