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Testing the Physical Parameter Constraining Power of HCN and HNC with Neural Networks

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

Numerical investigation of corroded middle‐high strength pipeline subjected to combined internal pressure and axial compressive loading

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

Machine Learning–Based Prediction of Organic Solar Cell Performance Using Molecular Descriptors

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

Quantum Computing in Transportation Engineering: A Survey

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

Computing with Bees: Attacking Complex Transportation Engineering Problems

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

Encyclopedic Dictionary of Applied Geophysics

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

A geotechnical investigation on a recent gigantic rock avalanche at the Patalganga-Langsi site on the Badrinath highway of chamoli, Uttarakhand (Garhwal Himalaya), India

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

Generating Daily High-Resolution Regional XCO<sub>2</sub> by Deep Neural Network and Multi-Source Data

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

An artificial neural network-based model for predicting paratransit travel time

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

Optimizing runoff prediction in plains river network areas: a hybrid XAJ-BP modelling framework with basin structure division

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

Information models for machine vision systems

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)

Application of the convolutional neural network in partial discharge spectrum recognition of power apparatus

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

Online Classification of Road Roughness Conditions with Vehicle Unsprung Mass Acceleration by Sliding Time Window

Zhongxing Li, Wenhao Yu, Xiaoli Cui • Shock and Vibration (2018)

Suspension control systems are in need for more information of road roughness conditions to improve their performance under different roads. Existing methods of gauging road roughness are limited, and they usually involve visual inspections...

DOAJ Open Access (DOAJ) DOI: 10.1155/2018/5131434

A rapid fingerprint positioning method based on deep convolutional neural network for MIMO-OFDM systems

Chenlin He, Xiaojun Wang, Jiyu Jiao, Yuhua Huang et al. • Urban Lifeline (2024)

Abstract The combination of fingerprint positioning and 5G (the 5th Generation Mobile Communication Technology) offers broader application prospects for indoor positioning technology, but also brings challenges in real-time performance. In ...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44285-024-00021-4

A Graph Neural Networks-Based Learning Framework With Hyperbolic Embedding for Personalized Tag Recommendation

Chunmei Zhang, Aoran Zhang, Li Zhang, Yonghong Yu et al. • IEEE Access (2024)

Learning high-quality representations of users, items, and tags from historical interactive data is crucial for personalized tag recommendation (PTR) systems. Currently, most PTR models are committed to learning representations from first-o...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3347249