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Academic Articles & Research Papers
Showing 20 of 379 academic articles
Audrey Karungi Ngambeki, Halimu Chongomweru, Florence N. Kivunike • Information
(2026)
Reputational risk reflected in digital public discourse can significantly influence stakeholder perceptions, public trust, and decision-making surrounding government megaprojects. Existing computational approaches primarily focus on sentime...
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Open Access (DOAJ)
DOI: 10.3390/info17100987
Ray Oshikawa, Qian, Jing, William Yang Wang • arXiv (Cornell University)
(2018)
Fake news detection is a critical yet challenging problem in Natural Language Processing (NLP). The rapid rise of social networking platforms has not only yielded a vast increase in information accessibility but has also accelerated the spr...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1811.00770
Yao L, Chen Y, Shen J, Zhang J et al. • Advances in Medical Education and Practice
(2026)
Lifeng Yao, Yijun Chen, Jing Shen, Junge Zhang, Yiwei Zhang, Guojin Liang, Yiqin Ji Department of Anesthesiology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaCorrespondence: Yijun Chen, De...
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Open Access (DOAJ)
Lihua Han • Discover Artificial Intelligence
(2026)
Abstract Retrieval-augmented few-shot recognition supplements sparsely annotated target classes with external visual samples, but open retrieval results may exhibit unstable quality, semantic mismatch, and cross-domain feature shifts. Direc...
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Open Access (DOAJ)
DOI: 10.1007/s44163-026-02341-6
CHEN Ao, LI Chen, YAN Jiayun, PENG Liantie et al. • Kongzhi Yu Xinxi Jishu
(2024)
Standardization is one of the key steps to analyze locomotive overhaul data with a focus on reliability-centered maintenance (RCM). However, traditional manual methods encounter challenges such as small sample sizes, non-standardized data f...
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Open Access (DOAJ)
Yoav Goldberg • Journal of Artificial Intelligence Research
(2016)
Over the past few years, neural networks have re-emerged as powerful machine-learning models, yielding state-of-the-art results in fields such as image recognition and speech processing. More recently, neural network models started to be ap...
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DOI: https://doi.org/10.1613/jair.4992
Tang Jinlan, Zhai Yuming, Li Lingxiao, Liu Peixin et al. • Journal of China Computer-Assisted Language Learning
(2024)
The increasing development of emerging technologies contributes to ubiquitous and personalized language learning. Hence this study reported a project of designing and applying mobile learning for a less-commonly taught language, Fijian lang...
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Open Access (DOAJ)
DOI: 10.1515/jccall-2024-0006
Xue Xia, Xiujuan Chai, Ning Zhang, Zhao Zhang et al. • Agronomy
(2022)
Exact yield estimation of fruits on plants guaranteed fine and timely decisions on harvesting and marketing practices. Automatic yield estimation based on unmanned agriculture offers a viable solution for large orchards. Recent years have w...
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Open Access (DOAJ)
DOI: 10.3390/agronomy12020440
Mikail Kırğıl, Suleyman Gokhan Taskin, Ali Ercetin • Applied Sciences
(2026)
Burr formation during drilling of aluminum alloys can compromise hole quality and assembly accuracy, increasing the need for secondary deburring operations. The time-consuming and operator-dependent nature of manual visual inspection create...
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Open Access (DOAJ)
DOI: 10.3390/app162010012
Lucas Renato Trevisan, Lisiane Brichi, Tamara Maria Gomes, Fabrício Rossi • Remote Sensing
(2023)
Responsible for food production and industry inputs, agriculture needs to adapt to worldwide increasing demands and environmental requirements. In this scenario, black oat has gained environmental and economic importance since it can be use...
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Open Access (DOAJ)
DOI: 10.3390/rs15051363
V. G. Dhanya, Anakkallan Subeesh, Nand Lal Kushwaha, Dinesh Kumar Vishwakarma et al. • Artificial Intelligence in Agriculture
(2022)
The agriculture industry is undergoing a rapid digital transformation and is growing powerful by the pillars of cutting-edge approaches like artificial intelligence and allied technologies. At the core of artificial intelligence, deep learn...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.aiia.2022.09.007
Anthony Masinton, James Jago • British Art Studies
(2020)
Crafting a digital reconstruction of a lost space is a process of rediscovery and exploration. The nature of the evidence determines the form of the reconstruction, providing a sketch of what is known about the space. The process of reconst...
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Open Access (DOAJ)
DOI: 10.17658/issn.2058-5462/issue-16/amasinton
Hirra Anwar, Saad Ullah Khan, Muhammad Mohsin Ghaffar, Muhammad Fayyaz et al. • Sensors
(2023)
Wheat stripe rust disease (WRD) is extremely detrimental to wheat crop health, and it severely affects the crop yield, increasing the risk of food insecurity. Manual inspection by trained personnel is carried out to inspect the disease spre...
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Open Access (DOAJ)
DOI: 10.3390/s23156942
Miriana Russo, Corrado Santoro, Federico Fausto Santoro, Alessio Tudisco • Actuators
(2026)
Viticulture is facing growing economic and environmental pressures that demand a transition toward intelligent and autonomous crop management systems. Phytopathologies remain one of the most critical threats, causing substantial yield losse...
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Open Access (DOAJ)
DOI: 10.3390/act15020091
Yogesh Patel, Sudeep Tanwar, Pronaya Bhattacharya, Rajesh Gupta et al. • IEEE Access
(2023)
Recent advancements in computer vision processing need potent tools to create realistic deepfakes. A generative adversarial network (GAN) can fake the captured media streams, such as images, audio, and video, and make them visually fit othe...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3251417
Sharmarke A. Gabayre, Sergey Savel’ev, Varuna De Silva, Mindula Illeperuma et al. • Scientific Reports
(2026)
Abstract We present a Wilson–Cowan reservoir computer (WC–RC) that treats a retinotopic excitatory–inhibitory neural field as a structured reservoir. Travelling waves and bounded oscillations provide an interpretable spatiotemporal basis, w...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-49359-5
Arth Patel, Won Suk Lee, Natalia A. Peres, Clyde W. Fraisse • Smart Agricultural Technology
(2021)
Botrytis fruit rot and anthracnose are fungal diseases of strawberry. These diseases are a significant contributor to yield losses, requiring farmers to use fungicides frequently to prevent them. The proliferation of botrytis and anthracnos...
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Open Access (DOAJ)
DOI: 10.1016/j.atech.2021.100013
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens et al. • arXiv (Cornell University)
(2015)
Convolutional networks are at the core of most state-of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains in various benchmark...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1512.00567
Shai Barbut, Emily M. Leishman, Ryley J. Vanderhout, Benjamin J. Wood et al. • Journal of Applied Poultry Research
(2025)
Summary: Improving carcass portion yields (e.g., breast meat) is a major goal of modern turkey breeding and traditionally requires manual collection of portion weights. This can be a labor-intensive process considering the large amount of d...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.japr.2024.100506
Vijay Kakani, Van Huan Nguyen, Basivi Praveen Kumar, Hakil Kim et al. • Journal of Agriculture and Food Research
(2020)
Emerging technologies such as computer vision and Artificial Intelligence (AI) are estimated to leverage the accessibility of big data for active training and yielding operational real time smart machines and predictable models. This phenom...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.jafr.2020.100033