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Showing 20 of 864 academic articles
Bingyu Zhao, Jingzhong Li, Bing Xue • Computational Urban Science
(2023)
Abstract The bath industry has multiple attributes, such as economic, health, and cultural communication. Therefore, exploring this industry's spatial pattern evolution is crucial to forming a healthy and balanced development model. Based o...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s43762-023-00085-y
YU Yongtao, SUN Ao, LI Ang, ZHU Linlin • Jisuanji gongcheng
(2025)
In industrial surface Quality Control (QC) scenarios, deep classification neural networks are widely used to classify product images for qualified judgment or quality grading. However, surface QC equipment equipped with deep classification ...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0068395
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
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
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
SHEN Xueli, HAN Qianwen • Jisuanji gongcheng
(2023)
Click-Through Rate(CTR) prediction is one of the most important tools for ad placement.Predicting the CTR of an ad and making recommendations to users can increase ad revenue.Field-aware click-through rate prediction models are superior to ...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0064134
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
Zijing Li, Keting Huang, Gang Wang, Zhuowei Liang et al. • IET Signal Processing
(2026)
This paper proposes a Kalman-gain-driven neural Kalman filtering (KF) defense framework, termed KFDBP, for secure state estimation in cyber–physical systems (CPSs) under denial-of-service (DoS), spoofing, and replay attacks. Unlike end-to-e...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/sil2/3335149
Manuel Angel Gadeo-Martos, Antonio Jesús Yuste-Delgado, Florencia Almonacid Cruz, Jose-Angel Fernandez-Prieto et al. • Energies
(2019)
Currently, there is growing interest in the modeling of high concentrator photovoltaic modules, due to the importance of achieving an accurate model, to improve the knowledge and understanding of this technology and to promote its expansion...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en12030567
Syed M. Hussain, Rahimah Mahat, Nek Muhammad Katbar, Imran Ullah et al. • Case Studies in Thermal Engineering
(2023)
As a result of its use in the manufacturing and construction industries, research on the flow of nanofluid is rather well-known among academics and professionals in related fields. It is helpful for electrical equipment to utilize it for co...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.csite.2023.103487
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
Xiaoting Zhong, Brian J. Gallagher, Shusen Liu, Bhavya Kailkhura et al. • npj Computational Materials
(2022)
Abstract Machine learning models are increasingly used in materials studies because of their exceptional accuracy. However, the most accurate machine learning models are usually difficult to explain. Remedies to this problem lie in explaina...
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DOI: https://doi.org/10.1038/s41524-022-00884-7
Erica Behrens, Jeffrey G. Mangum, Mathilde Bouvier, Cosima Eibensteiner et al. • The Astrophysical Journal
(2026)
We quantify the utility of HCN and HNC to characterize gas conditions in the nearby starburst galaxy NGC 253. We use measurements from the Atacama Large Millimeter/Submillimeter Array (ALMA) Large Program ALCHEMI: the ALMA Comprehensive Hig...
DOAJ
Open Access (DOAJ)
DOI: 10.3847/1538-4357/ae3567
Sarah E. Marzen, James P. Crutchfield • Entropy
(2022)
Inferring models, predicting the future, and estimating the entropy rate of discrete-time, discrete-event processes is well-worn ground. However, a much broader class of discrete-event processes operates in continuous-time. Here, we provide...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e24111675
Linlin Lu, Lecai Liang • Energy Science & Engineering
(2021)
Abstract Buried oil and gas pipelines may face the threat of geological disasters such as landslides, faults, and floods. However, long‐term buried oil and gas pipelines often have corrosion defects, which bring greater challenges to the sa...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/ese3.830
Mohammed Saleh Alshaikh • International Journal of Emerging Research in Engineering, Science, and Management
(2025)
The performance of Organic Solar Cells (OSCs) is intrinsically linked to the molecular, electronic, and structural properties of donor and acceptor materials. This study employs various machine learning techniques, namely the Generalized Re...
DOAJ
Open Access (DOAJ)
DOI: 10.58482/ijeresm.v4i4.4
Ardeshir Faghri, Jiuyi Hua • Transportation Research Record Journal of the Transportation Research Board
(1992)
The increased interest in artificial neural networks (ANNs) seen in government and private research as well as business and industry has included relatively little activity in transportation engineering. The position that ANNs, as a branch ...
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Shriyank Somvanshi, Md Monzurul Islam, Sazzad Bin Bashar Polock, Gaurab Chhetri et al. • IEEE Transactions on Intelligent Transportation Systems
(2026)
Quantum computing introduces new computational methods that address complex optimization and machine learning challenges in transportation engineering. This literature survey reviews fundamental quantum principles, including qubits, superpo...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tits.2026.3662626
Panta Lučić, Dušan Teodorović • International Journal of Artificial Intelligence Tools
(2003)
The Bee System (an artificial bee swarm) is introduced in this paper. The proposed approach is applied to the Traveling Salesman Problem. The obtained results are very promising. The potential applications of the developed Bee System in the...
OPENALEX
DOI: https://doi.org/10.1142/s0218213003001289
Robert E. Sheriff • Society of Exploration Geophysicists eBooks
(2002)
The fourth edition of SEG's best seller is a valuable, comprehensive reference that is a must for every geophysicist, geologist, explorationist, engineer, energy adviser, economist, editor, and student involved in the field. Hundreds of ter...
OPENALEX
DOI: https://doi.org/10.1190/1.9781560802969