Showing 20 of 379 academic articles
Xinkun Tang, Ying Xu, Feng Ouyang, Ligu Zhu • Applied Sciences
(2023)
Super-resolution in image and video processing has been a challenge in computer vision, with its progression creating substantial societal ramifications. More specifically, video super-resolution methodologies aim to restore spatial details...
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Open Access (DOAJ)
DOI: 10.3390/app131810165
Zhouyi Wang, Changcheng Wang • Applied Sciences
(2025)
Super-resolution reconstruction is a critical task in remote sensing image classification, and generative adversarial networks (GANs) have emerged as a dominant approach in this field. Traditional generative networks often produce low-quali...
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Open Access (DOAJ)
DOI: 10.3390/app15031179
Musaddiq Al Ali, Masatoshi Shimoda, Marc Naguib • Applied Sciences
(2024)
This study explores the integration of computer vision with topology optimization for additive manufacturing, with a focus on maximizing eigenfrequency in a design domain. Utilizing custom-developed photogrammetry software, high-resolution ...
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Open Access (DOAJ)
DOI: 10.3390/app14156786
Javier Nieves, Antonio Serena-Barriuso, Guillermo Elejoste-Rementeria • Applied Sciences
(2025)
Metallographic evaluation of nodular cast iron is crucial for quality control in the foundry industry. Traditionally, this process relies on experts who visually interpret microscopic images. This study introduces HawkEye, a comprehensive s...
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Open Access (DOAJ)
DOI: 10.3390/app15136991
Radu Constantin Parpală, Mario Andrei Ivan, Lidia Florentina Parpală, Costel Emil Coteț et al. • Applied Sciences
(2024)
The increase in positioning accuracy and repeatability allowed the integration of robots in assembly operations using guidance systems (structured applications) or video acquisition systems (unstructured applications). This paper proposes a...
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Open Access (DOAJ)
DOI: 10.3390/app14198687
Catarina de Nazaré Pereira Pinheiro, Roosevelt de Lima Sardinha, Pablo Machado Barros, André Bulcão et al. • Applied Sciences
(2024)
Neural networks have been used in various computer vision applications, including noise removal. However, removing seismic noise via deep learning approaches faces a specific issue: the scarcity of labeled data. To address this difficulty, ...
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Open Access (DOAJ)
DOI: 10.3390/app14219721
Andrei Mihalea, Adina Magda Florea • Applied Sciences
(2024)
Computer vision has significantly influenced recent advancements in autonomous driving by providing cutting-edge solutions for various challenges, including object detection, semantic segmentation, and comprehensive scene understanding. One...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14177776
Haijie Ren, Weiqiang Wang, Wentao Tang, Rui Zhang • Physical Review Research
(2024)
Topological defects play a key role in the structures and dynamics of liquid crystals and other ordered systems. There is a recent interest in studying defects in different biological systems with distinct textures. However, a robust method...
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Open Access (DOAJ)
DOI: 10.1103/PhysRevResearch.6.013259
Zhanping Song, Zifan Yang, Runke Huo, Yuwei Zhang • Applied Sciences
(2023)
With the rise of the fourth industrial revolution, traditional methods of analyzing investment have been transformed into intelligent methods under big data and the Internet of Things. This has created a new approach to solving practical en...
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Open Access (DOAJ)
DOI: 10.3390/app13095454
Mohammed L. Jabbar, Abbas Shwya Alwan • مجلة علوم ذي قار
(2019)
Chopper is an important component in optical system. It represents a device, which changes the angle between the coordinate and vision lines of the target for the electrical signal. The chopper modulates the optical signal by a frequency de...
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Open Access (DOAJ)
Minsoo Hong, Yoonsik Choe • Applied Sciences
(2019)
The de-blurring of blurred images is one of the most important image processing methods and it can be used for the preprocessing step in many multimedia and computer vision applications. Recently, de-blurring methods have been performed by ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app9112358
Subbulakshmi M, Mohammad Malik Mubeen S, Mohamed Ali E A • AIP Advances
(2026)
Digital images acquired through imaging systems often lose their original fidelity due to various types of noise introduced during acquisition, storage, or transmission, consequently reducing clarity and adversely affecting subsequent image...
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Open Access (DOAJ)
DOI: 10.1063/5.0332993
Kai Chen, Pengtao Zhang, Liang You, Jian Sun • Applied Sciences
(2024)
In response to the challenge of single navigation methods failing to meet the high precision requirements for unmanned aerial vehicle (UAV) navigation in complex environments, a novel algorithm that integrates Global Navigation Satellite Sy...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14135493
Ning Zhang, Enxu Zhang, Fei Li • Applied Sciences
(2023)
Soybean is a type of food crop with economic benefits. Whether they are damaged or not directly affects the survival and nutritional value of soybean plants. In machine learning, unbalanced data represent a major factor affecting machine le...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app13116425
Ya Zhang, Ravie Chandren Muniyandi, Faizan Qamar • Applied Sciences
(2025)
In the rapid development of the Internet of Things (IoT) and large-scale distributed networks, Intrusion Detection Systems (IDS) face significant challenges in handling complex spatiotemporal features and addressing data imbalance issues. T...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15031552
Roberto De Fazio, Matteo Paiano, Ramiro Velazquez, Carolina Del-Valle-Soto et al. • Applied Sciences
(2026)
Automatic sleep staging is fundamental for diagnosing sleep disorders and enabling long-term sleep monitoring with wearable devices. Although Deep Learning has significantly improved classification performance, balancing accuracy with compu...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16168164
Zhe Sun, Junping Wan, Bin Wang, Zhiqiang Cao et al. • Frontiers in Physics
(2021)
Data-driven deep learning has accelerated the spread of social computing applications. To develop a reliable social application, service providers need massive data on human behavior and interactions. As the data is highly relevant to users...
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Open Access (DOAJ)
DOI: 10.3389/fphy.2021.739259
Boris Galitsky • Entropy
(2023)
It is well known that deep learning (DNN) has strong limitations due to a lack of explainability and weak defense against possible adversarial attacks. These attacks would be a concern for autonomous teams producing a state of high entropy ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e25111496
Da Yuan, Dong Huang, Yu Lei, Minhao Wang et al. • Applied Sciences
(2026)
The penetration rate (PR) is a critical indicator affecting the safety and cost of shield tunnel construction. However, due to the complexity of geological conditions and the nonlinear nature of tunneling parameters, traditional prediction ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16115549
Zhihao Chen, Jie Gao, Weikai Wang, Zheng Yan • Environmental Research Letters
(2021)
The troposphere is one of the atmospheric layers where most weather phenomena occur. Temperature variations in the troposphere, especially at 500 hPa, a typical level of the middle troposphere, are significant indicators of future weather c...
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Open Access (DOAJ)
DOI: 10.1088/1748-9326/abfde9