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Academic Articles & Research Papers
Showing 20 of 817 academic articles
Gobinda G Chowdhury • Annual Review of Information Science and Technology
(2003)
Previous ARIST chapters (Haas, 1996;Warner, 1987) described a number of theoretical developments that have influenced research in NLP.The most recent theoretical developments can be grouped into four classes: (i) statistical and corpus-base...
OPENALEX
Open Access
DOI: https://doi.org/10.1002/aris.1440370103
Dzakiya Ishmatul Ulya, Anang Kunaefi, Dwi Rolliawati, Bayu Adhi Nugroho • Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer
(2023)
QRIS, a mobile payment transaction system standardized by Bank Indonesia, has become the subject of extensive public discourse on Twitter. Employing VADER for sentiment analysis and LDA for topic modeling, this study aims to capture the nua...
DOAJ
Open Access (DOAJ)
DOI: 10.31961/eltikom.v7i2.742
Khalid M. Hosny, Nada AbdElFattah Ibrahim, Ehab R. Mohamed, Hanaa M. Hamza • Intelligent Systems with Applications
(2024)
The COVID-19 virus is causing a global pandemic. The total number of new coronavirus cases worldwide by the end of November 2020 had already surpassed 60 million. The World Health Organization (WHO) has determined that wearing masks is a cr...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.iswa.2024.200391
HU Chengjun, PAN Gege, ZHANG Chao, LIU Bin et al. • Meikuang Anquan
(2023)
Aiming at the problems of high labor intensity, low degree of automation and low positioning accuracy of single way in the construction process of existing coal mine anchor digging machine, a long-distance positioning system suitable for an...
DOAJ
Open Access (DOAJ)
DOI: 10.13347/j.cnki.mkaq.2023.01.027
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/agronomy12020440
Haitam Ettazi, Najat Rafalia, Jaafar Abouchabaka • Proceedings on Engineering Sciences
(2023)
In the field of deep learning, a convolutional neural network is a class of artificial neural networks that became dominant in various computer vision tasks, which is widely used to solve complex problems in various areas, including driver ...
DOAJ
Open Access (DOAJ)
DOI: 10.24874/PES05.03.017
Grzegorz Mrugacz, Aleksandra Mospinek, Małgorzata Jagielska, Dariusz Miszczak et al. • Biology
(2025)
Background: Artificial Intelligence (AI) has emerged as a transformative tool in in vitro fertilization (IVF) as it has done in other sectors. In IVF, AI offers advancements in embryo selection, treatment personalization, and outcome predic...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/biology15010042
Suyang Xi, Zihan Liu, Ziming Wang, Qiang Zhang et al. • IEEE Access
(2024)
Lane detection is fundamental to autonomous driving, yet remains challenging in complex environments with occlusions, ambiguous markings, and varied lighting. We introduce the Global Semantic Enhancement Network (GSENet), a groundbreaking f...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3429396
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app162010012
Ali Haider, Ghulam Muhammad, Talha Ahmed Khan, Kushsairy Kadir et al. • Scientific Reports
(2025)
Abstract Camouflaged object detection particularly is considered as challenging and crucial because these objects are designed to either mimic their environment or be completely hidden within it. The goal of camouflage patterns utilization ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-18886-y
Xinkai Xu, Hailan Zhang, Yan Ma, Kang Liu et al. • Remote Sensing
(2023)
Small-object detection is a challenging task in computer vision due to the limited training samples and low-quality images. Transfer learning, which transfers the knowledge learned from a large dataset to a small dataset, is a popular metho...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs15143525
A. R. Teplyakova, R. V. Shershnev, S. O. Starkov, V. A. Kukarskaya • Научно-технический вестник информационных технологий, механики и оптики
(2024)
With the increasing routine workload on radiologists associated with the need to analyze large numbers of images, there is a need to automate part of the analysis process. Sarcopenia is a condition in which there is a loss of muscle mass. T...
DOAJ
Open Access (DOAJ)
DOI: 10.17586/2226-1494-2024-24-1-124-132
Irina V. Arinicheva, Igor V. Arinichev, Galina V. Volkova, Sergey V. Polyanskikh • Siberian Journal of Life Sciences and Agriculture
(2022)
Purpose. To investigate the possibility of diagnosing yellow and brown rust (Puccinia striiformis f. sp. tritici West. Puccinia triticina f. sp. tritici Erikss), yellow spot (Pyrenophora tritici-repentis (Died.) Drechsler) on wheat leaves f...
DOAJ
Open Access (DOAJ)
DOI: 10.12731/2658-6649-2022-14-1-248-261
Elouanes Khelifi, Amir Saki, Sousso Kelouwani, Usef Faghihi • Applied Food Research
(2026)
The production of processed foods and animal nutrition requires precise control over product characteristics to ensure consistent quality. Unexpected fluctuations in key parameters, particularly humidity, can lead to significant financial l...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.afres.2026.102698
Wei Huang, Xingyu Zheng, Xudong Ma, Haotong Qin et al. • Visual Intelligence
(2024)
Abstract The LLaMA family, a collection of foundation language models ranging from 7B to 65B parameters, has become one of the most powerful open-source large language models (LLMs) and the popular LLM backbone of multi-modal large language...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44267-024-00070-x
Lijie Geng, Pengji Yan, Zhikun Ji, Chunyu Song et al. • Journal of Cotton Research
(2024)
Abstract Background The lint percentage of seed cotton is one of the most important parameters for evaluating seed cotton quality and affects its price. The traditional measuring method of lint percentage is labor-intensive and time-consumi...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s42397-024-00178-x
Yuan Zi, Chenyu Zhou, Jiefu Chen, Zhu Han et al. • IEEE Access
(2025)
Efficient large-scale monitoring of methane emissions is crucial for sustainable environmental management, necessitating advanced remote sensing techniques that process hyperspectral imagery to provide detailed insights into the Earthȁ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3597991
Saleh Albahli, Nudrat Nida, Aun Irtaza, Muhammad Haroon Yousaf et al. • IEEE Access
(2020)
Melanoma is the skin cancer caused by the ultraviolet radiation from the Sun and has only 15-20% of survival rate. Late diagnosis of melanoma leads to the severe malignancy of disease, and metastasis expands to the other body organs i.e. li...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3035345
Rittik Chandra Das Turjy, Fahmid Al Farid, Fahmid Al Farid, Md. Hasan Imam Bijoy et al. • Frontiers in Artificial Intelligence
(2026)
Complex environment variability and limited computational resources in agricultural settings create challenges in automated detection in tropical regions, where jackfruit diseases pose major threats to harvest productivity and food security...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frai.2026.1884567
Wenlin Yan, Xianxin Jiang, Ping Liu • IEEE Access
(2023)
Artificial Intelligence (AI) has promising applications in basketball shooting analysis, as it can help basketball athletes improve their shooting techniques and accuracy, thereby enhancing the effectiveness of both games and training sessi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3304631