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Academic Articles & Research Papers
Showing 20 of 534 academic articles
Hormazd Ranjbar, Perry Forsythe, Alireza Ahmadian Fard Fini, Mojtaba Maghrebi et al. • Results in Engineering
(2023)
According to the recent world bank report, around 80% of a life-cycle cost of a road is devoted to maintenance which includes monitoring and repair processes. To more effectively keep road serviceability, knowing the current status of road ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.rineng.2023.101130
Bukola Peter Adedeji • World Electric Vehicle Journal
(2021)
Demand for pure electric vehicles has been found to be increasing over the years. This has necessitated the development of a model that would serve as a predicting machine for manufacturing different types of pure electric vehicles. Direct ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/wevj12040257
A. Roberto Carvalho, F. Manoel Ramos, J. Carlos Carvalho • Trends in Computational and Applied Mathematics
(2010)
Abstract. In this paper, we derive vertical distributions of carbon dioxide atmospheric concentration from satellite data using a retrieval algorithm based on an artificial neural network (ANN) technique. Sensitivity studies were made to se...
DOAJ
Open Access (DOAJ)
DOI: 10.5540/tema.2010.011.03.0205
Bo Li, Ningjun Jiang, Xiaole Han • Sensors
(2023)
The Brillouin optical time domain reflectometry (BOTDR) system measures the distributed strain and temperature information along the optic fibre by detecting the Brillouin gain spectra (BGS) and finding the Brillouin frequency shift profile...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s23041764
Judith E. Dayhoff, James M. DeLeo • Cancer
(2001)
Artificial neural networks now are used in many fields. They have become well established as viable, multipurpose, robust computational methodologies with solid theoretic support and with strong potential to be effective in any discipline, ...
OPENALEX
Open Access
DOI: https://doi.org/10.1002/1097-0142(20010415)91:8+<1615::aid-cncr1175>3.0.co;2-l
Fathaddin Muhammad Taufiq, Sari Alvita Kumala, Sutansyah Daddy, Ulfah Baiq Maulinda et al. • E3S Web of Conferences
(2024)
Relative permeability is a substantial parameter for estimating multi-phase fluid flow in porous rocks. It is a complex physical property that is influenced by the behavior and interactions between the fluid and rock phases. Relative permea...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/e3sconf/202450003019
Shiqi Feng, Xuquan Wang, Xiong Dun, Zhanshan Wang et al. • IEEE Photonics Journal
(2025)
Encoded computational hyperspectral cameras, propelled by advances in compressed sensing theory, making both miniaturization and real-time hyperspectral imaging feasible. Spectral-encoded or spatial-encoded hyperspectral imaging strategy ha...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/JPHOT.2025.3624799
R. S. Basavanna, Ishaan Adhaulia, N. M. Dhanyakumar, Jyoti Joshi • Contemporary Clinical Dentistry
(2025)
Background:
The integration of artificial intelligence in dentistry has seen remarkable advancements, especially in diagnostic imaging. This study evaluates and compares the accuracy of deep learning models with that of dental postgraduate ...
DOAJ
Open Access (DOAJ)
DOI: 10.4103/ccd.ccd_274_24
Malik Muhammad Waqar, Hassan Ali, Heng Zhou, Heba G. Mohamed et al. • Sensors
(2025)
In shrimp farming, determining the physical traits of shrimp is vital for assessing their health and growth. One of the critical traits is their size, as it serves as a key indicator of growth rates, biomass, and effective feed management. ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s25185830
Le Yang, Dongmei Jiang, Hichem Sahli • IEEE Access
(2020)
Depression disorder has become one of the major psychological diseases endangering human health. Researcher in the affective computing community is supporting the development of reliable depression severity estimation system, from multiple ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.2970496
Mingyu Zhao, Shujia Zhang, Ke Li, Yanru Zhang et al. • Frontiers in Robotics and AI
(2026)
Densely populated enclosed environments, characterized by complex thermal stratification and overlapping breathing zones, represent high-risk clusters for the airborne transmission of respiratory pathogens. To address the dual challenges of...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frobt.2026.1846010
Daichi Kando, Satoshi Tomioka, Naoki Miyamoto, Ryosuke Ueda • Applied Sciences
(2019)
In an optical measurement system using an interferometer, a phase extracting technique from interferogram is the key issue. When the object is varying in time, the Fourier-transform method is commonly used since this method can extract a ph...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app9173529
EBRAHIM NASIRI, ALI POUR-SAFAR, MAHDOKHT TAHERI, ABDULLAH SEDIGHI PASHAKY et al. • Journal of Advances in Medical Education and Professionalism
(2017)
Introduction: Several factors play a role in academic achievement,
individual’s excellence and capability to do actions and tasks that
the learner is in charge of in learning areas. The main goal of this
study was to present academic ach...
DOAJ
Open Access (DOAJ)
Szu-Pyng Kao, Yung-Chen Chang, Feng-Liang Wang • Sensors
(2023)
Bridges are often at risk due to the effects of natural disasters, such as earthquakes and typhoons. Bridge inspection assessments normally focus on cracks. However, numerous concrete structures with cracked surfaces are highly elevated or ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s23052572
Marco Paracchini, Marco Marcon, Federica Villa, Franco Zappa et al. • Sensors
(2020)
The problem of performing remote biomedical measurements using just a video stream of a subject face is called remote photoplethysmography (rPPG). The aim of this work is to propose a novel method able to perform rPPG using single-photon av...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s20216102
Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht • Journal Of Big Data
(2021)
Natural Language Processing (NLP) is one of the most captivating applications of Deep Learning. In this survey, we consider how the Data Augmentation training strategy can aid in its development. We begin with the major motifs of Data Augme...
OPENALEX
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DOI: https://doi.org/10.1186/s40537-021-00492-0
PMC: 8287113
Fangzhou Liu, Yang Zhao, Jiqiao Chen, Ting Luo • EAI Endorsed Transactions on Energy Web
(2026)
Power distribution network fault handling imposes stringent requirements on both response timeliness and decision reliability. The high penetration of distributed renewable generation, the widespread deployment of power-electronic devices, ...
DOAJ
Open Access (DOAJ)
DOI: 10.4108/ew.13683
Shaorong Zhang, Shaorong Zhang, Qihui Wang, Benxin Zhang et al. • Frontiers in Neuroscience
(2023)
IntroductionThe time, frequency, and space information of electroencephalogram (EEG) signals is crucial for motor imagery decoding. However, these temporal-frequency-spatial features are high-dimensional small-sample data, which poses signi...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fnins.2023.1292724
Esraa Khatab, Ahmed Onsy, Ahmed Abouelfarag • Sensors
(2022)
One of the primary tasks undertaken by autonomous vehicles (AVs) is object detection, which comes ahead of object tracking, trajectory estimation, and collision avoidance. Vulnerable road objects (e.g., pedestrians, cyclists, etc.) pose a g...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s22041663
Jiuxin Wang, Yutian Luo, Zhengming Yang, Xinli Zhao et al. • Applied Sciences
(2021)
In order to improve the measurement speed and prediction accuracy of unconventional reservoir parameters, the deep neural network (DNN) is used to predict movable fluid percentage of unconventional reservoirs. The Adam optimizer is used in ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app11083589