Home »
Academic Articles & Research Papers
Showing 20 of 856 academic articles
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...
OPENALEX
cc-by
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 ...
OPENALEX
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
Biswajit Bera • Discover Geoscience
(2025)
Abstract Garhwal Himalaya is one of the most landslide-prone regions in the Himalayan Belt due to its seismo-tectonic background, geological complexity, climate, geomorphological setting and large-scale human interference. A gigantic rock a...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44288-025-00238-y
Wenjie Tian, Lili Zhang, Tao Yu, Dong Yao et al. • Atmosphere
(2024)
CO2 is one of the primary greenhouse gases impacting global climate change, making it crucial to understand the spatiotemporal variations of CO2. Currently, commonly used satellites serve as the primary means of CO2 observation, but they of...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/atmos15080985
George Ukam, Charles Adams, Atinuke Adebanji, Williams Ackaah • Cogent Engineering
(2024)
The nature of paratransit services makes for increased uncertainty in trip time, leading to reported unreliability and dissatisfaction by the users. While providing travel information has proved helpful in formal bus services and has been r...
DOAJ
Open Access (DOAJ)
DOI: 10.1080/23311916.2024.2386383
Albert Whata, Charles Chimedza • IEEE Access
(2022)
Logistic regression (LR) is a popular method that is used for estimating causal effects in observational studies using propensity scores. We examine the use of deep learning models such as the deep neural network (DNN), PropensityNet (PN), ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3140189
Xu Cheng, Shiqiang Wu, Jiangyu Dai, Xiufeng Wu et al. • Engineering Applications of Computational Fluid Mechanics
(2026)
The plain water network area is characterized by its flat terrain and a dense crisscrossing of rivers. The runoff process in this region is significantly influenced by human activities, resulting in a complex relationship between water stor...
DOAJ
Open Access (DOAJ)
DOI: 10.1080/19942060.2026.2749141
A. L. Okhotnikov • Интеллектуальный транспорт
(2026)
The article examines the information models used in machine vision systems. The content of machine vision systems is disclosed in terms of their belonging to the field of information technology. Two main subsystems are described. The main i...
DOAJ
Open Access (DOAJ)
Sunada Satoshi, Yamaguchi Tomoya • EPJ Web of Conferences
(2023)
Photonic computing has attracted much attention due to its great potential to accelerate artificial neural network operations. However, the processing of a large amount of data, such as image data, basically requires large-scale photonic ci...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/epjconf/202328713007
Feng‐Chang Gu • IET Science, Measurement & Technology
(2023)
Abstract Partial discharge (PD) detection is used to evaluate the insulation status of high‐voltage equipment. The most challenging aspect of traditional PD recognition is extracting features from the discharge signal. Accordingly, this stu...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/smt2.12137