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Academic Articles & Research Papers
Showing 20 of 896 academic articles
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1103/PhysRevResearch.6.013259
Alireza Haji Fathaliyan, Xiaoyu Wang, Veronica J. Santos • Frontiers in Robotics and AI
(2018)
Human–robot collaboration could be advanced by facilitating the intuitive, gaze-based control of robots, and enabling robots to recognize human actions, infer human intent, and plan actions that support human goals. Traditionally, gaze trac...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frobt.2018.00025
Qing Huang, Xiaoyan Zhang, Anqi Jin, Menghui Lei et al. • Journal of Marine Science and Engineering
(2025)
Many studies have used various time-frequency feature extraction methods to convert ship-radiated noise into three-dimensional (3D) data suitable for computer vision (CV) models, which have shown good results in public datasets. However, tr...
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Open Access (DOAJ)
DOI: 10.3390/jmse13030599
Dakang Guo, Jiatao Wang, Zeyuan Lin, Youfu Liu et al. • Poultry Science
(2026)
In the stereoscopic cage-rearing system, monitoring the individual egg production of laying ducks is essential for identifying low-yield individuals and optimizing breeding management. To overcome the high deployment cost of multi-sensor mo...
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Open Access (DOAJ)
DOI: 10.1016/j.psj.2026.106479
Feng Xiong, Jintao Wang, Guohua Zhang, Xueming Shi et al. • Advances in Civil Engineering
(2024)
In the construction of the civil engineering infrastructure, the noise and vibration are affected by the geological conditions, adopting specific construction techniques based on the geological conditions is of great significance in suppres...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2024/3599911
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
Om Khare, Sunil Mane, Harshmohan Kulkarni, Ninad Barve • Discover Artificial Intelligence
(2024)
Abstract Plant diseases significantly threaten global agriculture, impacting crop yield and food security. Nearly 30% of the crop yield is lost due to plant diseases. Efficient identification and classification of plant diseases through com...
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Open Access (DOAJ)
DOI: 10.1007/s44163-024-00150-3
Xia Zhao, Limin Wang, Yufei Zhang, Xuming Han et al. • Artificial Intelligence Review
(2024)
Abstract In computer vision, a series of exemplary advances have been made in several areas involving image classification, semantic segmentation, object detection, and image super-resolution reconstruction with the rapid development of dee...
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DOI: https://doi.org/10.1007/s10462-024-10721-6
Xin Shi, Zhengchao Xu, Sunan Ge, Xueqing Zhao et al. • Complex & Intelligent Systems
(2026)
Abstract In computer vision, zero-shot image restoration—a technique enabling degraded image restoration without large-scale paired training data—has emerged as a pivotal technique for scenarios where data is limited or paired training data...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s40747-025-02205-z
Yixiang Lu, Rui Wang, Qingwei Gao, Dong Sun et al. • Frontiers in Neurorobotics
(2021)
Multi-modal image fusion integrates different images of the same scene collected by different sensors into one image, making the fused image recognizable by the computer and perceived by human vision easily. The traditional tensor decomposi...
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Open Access (DOAJ)
DOI: 10.3389/fnbot.2021.762252
Rui Zhang, Ranran Zhou, Zuting Zhong, Haifeng Qi et al. • Sensors
(2024)
Binarized convolutional neural networks (bCNNs) are favored for the design of low-storage, low-power cardiac arrhythmia classifiers owing to their high weight compression rate. However, multi-class classification of ECG signals based on bCN...
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Open Access (DOAJ)
DOI: 10.3390/s24227207
Kevin M. Swingler (1996)
Techniques for building neural networks: introduction what are neural networks? how does neural computing differ from traditional programming? how are neural networks built? how do neural networks learn? what do I need to build an MLP? the ...
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Marcus D. Odom, Ramesh Sharda • International Joint Conference on Neural Networks (IJCNN)
(1990)
A neural network model is developed for prediction of bankruptcy, and it is tested using financial data from various companies. The same set of data is analyzed using a more traditional method of bankruptcy prediction, multivariate discrimi...
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DOI: https://doi.org/10.1109/ijcnn.1990.137710
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1063/5.0332993
Kevin Robert Gurney • CRC Press eBooks
(2018)
Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counte...
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DOI: https://doi.org/10.1201/9781315273570
Jinming Zou, Yi Han, Sung‐Sau So • Methods in molecular biology
(2008)
The artificial neural network (ANN), or simply neural network, is a machine learning method evolved from the idea of simulating the human brain. The data explosion in modem drug discovery research requires sophisticated analysis methods to ...
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DOI: https://doi.org/10.1007/978-1-60327-101-1_2
• Wiley eBooks
(2001)
From the Publisher:
Kalman filtering is a well-established topic in the field of control and signal processing and represents by far the most refined method for the design of neural networks. This book takes a nontraditional nonlinear appr...
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DOI: https://doi.org/10.1002/0471221546
Wu Huiyong, Zunlong Wang • PLoS ONE
(2025)
With the increasing complexity and prosperity of global financial markets, stock market forecasting plays a critical role in investment decision-making, market regulation, and economic planning. This study proposes a hybrid prediction model...
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Open Access (DOAJ)
DOI: 10.1371/journal.pone.0330324
Ji Su Hwang, Seok Gi Kim, Tae Hwan Shin, Yong Eun Jang et al. • Pharmaceutics
(2022)
Cancer is a group of diseases causing abnormal cell growth, altering the genome, and invading or spreading to other parts of the body. Among therapeutic peptide drugs, anticancer peptides (ACPs) have been considered to target and kill cance...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/pharmaceutics14050997
Taikang Yuan, Junxing Zhu, Wuxin Wang, Jingze Lu et al. • Remote Sensing
(2023)
Sea surface temperature (SST) prediction has attracted increasing attention, due to its crucial role in understanding the Earth’s climate and ocean system. Existing SST prediction methods are typically based on either physics-based numerica...
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Open Access (DOAJ)
DOI: 10.3390/rs15143498