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Showing 20 of 773 academic articles

Modular multi-fidelity simulation framework for advanced sail-driven spacecraft control and dynamics in perturbation-rich regimes

Celia Redondo-Verdú, Álvaro Belmonte-Baeza, José L. Ramón, Cristina Cachero et al. • Results in Engineering (2026)

This work presents a high-fidelity Software-in-the-Loop (SIL) simulation framework for the development and validation of control strategies for sail-driven spacecraft operating in Low Earth Orbit (LEO). The framework integrates NVIDIA Omniv...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rineng.2026.113314

Multi-Objective Hybrid Optimization for Optimal Sizing of a Hybrid Renewable Power System for Home Applications

Md. Arif Hossain, Ashik Ahmed, Shafiqur Rahman Tito, Razzaqul Ahshan et al. • Energies (2022)

An optimal energy mix of various renewable energy sources and storage devices is critical for a profitable and reliable hybrid microgrid system. This work proposes a hybrid optimization method to assess the optimal energy mix of wind, photo...

DOAJ Open Access (DOAJ) DOI: 10.3390/en16010096

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

Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images

Esraa Hassan, Samir Elmougy, Mai R. Ibraheem, M. Shamim Hossain et al. • Sensors (2023)

Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the condition of the back part of the eye. The condition has a great effect on the specificity of diagnosis, the monitoring of many physiological and pathol...

DOAJ Open Access (DOAJ) DOI: 10.3390/s23125393

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

Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications

Lixiang Li, Yuan Fang, Liwei Liu, Haipeng Peng et al. • Applied Sciences (2020)

With the development of intelligent networks such as the Internet of Things, network scales are becoming increasingly larger, and network environments increasingly complex, which brings a great challenge to network communication. The issues...

DOAJ Open Access (DOAJ) DOI: 10.3390/app10175909

Evaluating the diagnostic value and prospects of genomic and mutational sequencing in malignant transformation of oral leukoplakia

Jian Yuan, Yuhan Zhu, Zirui Wang, Zhongjing Lv et al. • Journal of Dental Sciences (2025)

Genomic and mutational sequencing in malignant transformation of oral leukoplakia (OLK) has emergingly gained momentum. In this short communication, we identified 5 retrospective follow-up studies and 5 cross-section comparative studies on ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jds.2025.07.016

Advanced Combination Localization Algorithm Based on Trilateration for Dynamic Cluster Network

Xiantao Zeng, Baoguo Yu, Lifang Liu, Xiaogang Qi et al. • IEEE Access (2019)

Dynamic cluster network localization requires taking the following factors into consideration: 1) the localization time of network nodes; 2) the communication load among all cluster nodes, and; 3) the presence of the abnormal distance measu...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2019.2921364

Exploring the Impact of Time Spent Reading Product Information on E-Commerce Websites: A Machine Learning Approach to Analyze Consumer Behavior

Sabina-Cristiana Necula • Behavioral Sciences (2023)

In this study, we aim to investigate the influence of the time spent reading product information on consumer behavior in e-commerce. Given the rapid growth of e-commerce and the increasing importance of understanding online consumer behavio...

DOAJ Open Access (DOAJ) DOI: 10.3390/bs13060439

Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan

Xiaoyi Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, Mudassar Rashid et al. • ISPRS International Journal of Geo-Information (2024)

While socioeconomic gradients in regional health inequalities are firmly established, the synergistic interactions between socioeconomic deprivation and climate vulnerability within convenient proximity and neighbourhood locations with heal...

DOAJ Open Access (DOAJ) DOI: 10.3390/ijgi13090330

Research progress of automated ultrasonic imaging detection technology for complex aircraft components

CHEN Yao, XIONG Zhenghui, LUO Junwei, WANG Hanyang et al. • Journal of Aeronautical Materials (2025)

Traditional ultrasonic automated non-destructive testing is a great challenge in the inspection of aviation components with complex surfaces. Complex surfaces can interfere with the formation of the focus in the sound beam，and the waveform ...

DOAJ Open Access (DOAJ) DOI: 10.11868/j.issn.1005-5053.2024.000173

Prognostic techniques for aeroengine health assessment and Remaining Useful Life estimation

Caricato A., Ficarella A., Chiodo L. Spada • E3S Web of Conferences (2021)

Predictive maintenance is the latest frontier in the management and maintenance of many industrial assets, including aeroengines. Made possible by last decades advances in monitoring equipment and machine learning algorithms, it permits ind...

DOAJ Open Access (DOAJ) DOI: 10.1051/e3sconf/202131211017

Big data and machine learning for materials science

Jose Fernando Rodrigues Junior, Larisa Florea, Maria Cristina Ferreira de Oliveira, Dermot Diamond et al. • Discover Materials (2021)

Herein, we review aspects of leading-edge research and innovation in materials science that exploit big data and machine learning (ML), two computer science concepts that combine to yield computational intelligence. ML can accelerate the so...

OPENALEX cc-by DOI: https://doi.org/10.1007/s43939-021-00012-0 PMC: 8054236