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Academic Articles & Research Papers
Showing 20 of 78 academic articles
Andualem Woldegiorgis, Mohammed Abebe, Durga Prasad Sharma, Worku Jimma • International Journal of Emerging Research in Engineering, Science, and Management
(2026)
Social media platforms have become powerful tools for communication, information exchange, networking, and community building. However, their widespread use has facilitated the proliferation of misinformation, disinformation, and mal-inform...
DOAJ
Open Access (DOAJ)
DOI: 10.58482/ijeresm.v5i2.3
Jie Ding, Lingyan Weng, Lili Fan, Peixue Liu • PeerJ Computer Science
(2024)
Tourism demand projection is paramount for both corporate operations and destination management, facilitating tourists in crafting bespoke, multifaceted itineraries and enriching their vacation experiences. This study proposes a multi-layer...
DOAJ
Open Access (DOAJ)
DOI: 10.7717/peerj-cs.2329
Albert Whata, Charles Chimedza • IEEE Access
(2022)
Logistic regression (LR) is a popular method that is used for estimating causal effects in observational studies using propensity scores. We examine the use of deep learning models such as the deep neural network (DNN), PropensityNet (PN), ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3140189
Raza Yunus, Omar Arif, Hammad Afzal, Muhammad Faisal Amjad et al. • IEEE Access
(2019)
There has been a rapid increase in dietary ailments during the last few decades, caused by unhealthy food routine. Mobile-based dietary assessment systems that can record real-time images of the meal and analyze it for nutritional content c...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2018.2879117
Ahmad Heidary-Sharifabad, Mohsen Sardari Zarchi, Sima Emadi, Gholamreza Zarei • Data in Brief
(2021)
This paper contains datasets related to the “Efficient Deep Learning Models for Categorizing Chenopodiaceae in the wild” (Heidary-Sharifabad et al., 2021). There are about 1500 species of Chenopodiaceae that are spread worldwide and often a...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.dib.2021.107478
V Geetha, C.K. Gomathy, Mr.D.Sri Datta Vallab Yaratha Yagn, Sai Praneesh • INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
(2023)
Natural Language Processing (NLP) is a rapidly evolving field in the intersection of computer science, artificial intelligence, and linguistics. This article provides an overview of NLP, tracing its historical development from early rule-ba...
OPENALEX
Open Access
DOI: https://doi.org/10.55041/ijsrem27094
Jian Feng Guo, He He, Tong He, Leonard Lausen et al. • arXiv (Cornell University)
(2019)
We present GluonCV and GluonNLP, the deep learning toolkits for computer vision and natural language processing based on Apache MXNet (incubating). These toolkits provide state-of-the-art pre-trained models, training scripts, and training l...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1907.04433
Mehdi Yekrangi, Nikola S. Nikolov • IEEE Access
(2023)
Although different studies are caried out by deep learning models for financial markets sentiment analysis, there is a lack of specific embedding method that regards the domain. Therefore, the goal of this study is to discover what type of ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3293733
Yue Zhang, Zhiyang Teng • Cambridge University Press eBooks
(2020)
With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are sy...
OPENALEX
DOI: https://doi.org/10.1017/9781108332873
Muhammad Shoaib Farooq, Syed Muhammad Asadullah Gilani, Muhammad Faraz Manzoor, Momina Shaheen • Information
(2025)
Fake news is false or misleading information that looks like real news and spreads through traditional and social media. It has a big impact on our social lives, especially in politics. In Pakistan, where Urdu is the main language, finding ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info16070595
Xinhui Liu, Jifa Chen, Qiubo Huang • Applied Sciences
(2025)
With the explosion of information, the amount of text data has increased significantly, making text categorization a central area of research in natural language processing (NLP). Traditional machine learning methods are effective, but deep...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15084236
V. Vishnuprabha, Lino Murali, Daleesha M Viswanathan • Apple Academic Press eBooks
(2021)
Understanding and processing human language has always been a complicated task in computational theory. Natural language processing, a combination of artificial intelligence and computational linguistics, employs computational techniques to...
OPENALEX
DOI: https://doi.org/10.1201/9781003082033-19
Snehal D. Patil, Prashant P. Bartakke • IEEE Access
(2025)
With the expeditious advancement in multicarrier automotive in-vehicle monitoring for a bus conforming environment with computer vision, there is an exigency for a setup subsisting on inspection cameras and an onboard embedded computing dev...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3637900
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s23156942
Jinyingming Zhang, Jin Liu, Xiongwei Xu, Peizhu Gong et al. • IEEE Access
(2020)
Segmenting characters in an image is a classic yet challenging task in computer vision. Correctly determining boundaries of adhesive characters with various scales and shapes is essential for character segmentation, especially for separatin...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3036545
Nino Cauli, Diego Reforgiato Recupero • Future Internet
(2022)
In most Computer Vision applications, Deep Learning models achieve state-of-the-art performances. One drawback of Deep Learning is the large amount of data needed to train the models. Unfortunately, in many applications, data are difficult ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/fi14030093
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15136991
Faisal Mehmood, Shabir Ahmad, Taeg Keun Whangbo • Mathematics
(2023)
Deep learning is a sub-branch of artificial intelligence that acquires knowledge by training a neural network. It has many applications in the field of banking, automobile industry, agriculture, and healthcare industry. Deep learning has pl...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math11061360
Dulani Meedeniya • Chapman & Hall/CRC eBooks
(2023)
This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling. DL applications are widely used in domains such as finance, transport, healthcare, automanufacturing, and advertising....
OPENALEX
public-domain
DOI: https://doi.org/10.1201/9781003390824
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charų C. Aggarwal et al. • ACM Computing Surveys
(2024)
Time series anomaly detection is important for a wide range of research fields and applications, including financial markets, economics, earth sciences, manufacturing, and healthcare. The presence of anomalies can indicate novel or unexpect...
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cc-by
DOI: https://doi.org/10.1145/3691338