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Showing 20 of 864 academic articles

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

Snow Depth Retrieval Using Detrended SNR From GNSS-R With Bidirectional GRU

Wei Liu, Zihui Lin, Yuan Hu, Aodong Tian et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024)

Snow depth monitoring is crucial for hydrology, climate research, and avalanche prediction. While traditional global navigation satellite system (GNSS) reflectometer methods offer cost-effective snow thickness retrieval, they suffer from po...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2024.3470222

[Mathematical models of hysteresis]

I.D. Mayergoyz (1991)

The research described in this proposal is currently being supported by the US Department of Energy under the contract Mathematical Models of Hysteresis''. Thus, before discussing the proposed research in detail, it is worthwhile to describ...

OPENALEX Open Access DOI: https://doi.org/10.2172/6911694

An adaptive cruise control system for autonomous vehicles using PRDC–CoROA-based hybrid optimization

M. Sivaramkrishnan, M. Siva Ramkumar, Kiruthika Balakrishnan, J. Isaac JoshuaRamesh Lalvani • Scientific Reports (2026)

Abstract An adaptive cruise control (ACC) system has a key role to play in enhancing the safety and stability of autonomous vehicles, along with ensuring improved ride quality through proper management of vehicle velocity and distance betwe...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-69261-4

Artificial neural network–based model for sleep quality prediction for frontline medical staff during major medical assistance

Qingquan Chen, Zeshun Chen, Xi Zhu, Jiajing Zhuang et al. • Digital Health (2024)

Background: The sleep quality of medical staff was severely affected during COVID-19, but the factors influencing the sleep quality of frontline staff involved in medical assistance remained unclear, and screening tools for their sleep qual...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076241287363

Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs

Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu et al. • Digital Health (2022)

Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using clinical data and chest X-ray (CXR) data. Method The transfer learning method w...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076221120317

Deep learning prediction of pathological complete response in breast cancer using Mamba architecture

Wenchuan Zhang, Shuwan Zhang, Fengling Li, Yuanyuan Zhao et al. • npj Digital Medicine (2026)

Abstract Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemotherapy (NAC) in breast cancer. However, current methods predominantly rely on convolutional neural networks or transformer architectur...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-026-02849-2

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications (2024)

Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s00521-023-09366-3

Integrating machine learning algorithms and explainable artificial intelligence approach for predicting patient unpunctuality in psychiatric clinics

Alireza Kasaie, Suchithra Rajendran • Healthcare Analytics (2023)

This study addresses patient unpunctuality, a major concern affecting patient waiting time, resource utilization, and quality of care. We develop and compare four machine learning models, including multinomial logistic regression, decision ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.health.2023.100242