Home »
Academic Articles & Research Papers
Showing 20 of 983 academic articles
Sarah Alhumoud, Asma Al Wazrah, Laila Alhussain, Lama Alrushud et al. • PeerJ Computer Science
(2023)
COVID-19 has become a global pandemic that has affected not only the health sector but also economic, social, and psychological well-being. Individuals are using social media platforms to communicate their feelings and sentiments about the ...
DOAJ
Open Access (DOAJ)
DOI: 10.7717/peerj-cs.1507
Malik Muhammad Waqar, Hassan Ali, Heng Zhou, Heba G. Mohamed et al. • Sensors
(2025)
In shrimp farming, determining the physical traits of shrimp is vital for assessing their health and growth. One of the critical traits is their size, as it serves as a key indicator of growth rates, biomass, and effective feed management. ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s25185830
Sobhana Mummaneni, Venkata Chaitanya Satya Ramaraju Mudunuri, Sri Veerabhadra Vikas Bommaganti, Bhavya Vani Kalle et al. • Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
(2025)
A facial recognition system is a biometric security and surveillance system that can identify and monitor individuals in a crowded area. Manually monitoring a crowded environment is a difficult and error-prone task. Therefore, in such conte...
DOAJ
Open Access (DOAJ)
DOI: 10.35784/iapgos.6818
Jinyin CHEN, Wenchang SHANGGUAN, Jingjing ZHANG, Haibin ZHENG et al. • Tongxin xuebao
(2021)
For the problem of poor performance of exciting membership inference attack (MIA) when facing the transfer learning model that is generalized, the MIA for the transfer learning model that is generalized was first systematically studied, the...
DOAJ
Open Access (DOAJ)
Yijia WAN, Liping GU • Nongye tushu qingbao xuebao
(2024)
[Purpose/Significance] To explore in depth the acceptance and usage habits of AIGC tools by graduate students in the process of academic research, and to promote the positive attention and application of emerging technologies by graduate st...
DOAJ
Open Access (DOAJ)
DOI: 10.13998/j.cnki.issn1002-1248.24-0716
Sara Sheehan, Yun S. Song • PLoS Computational Biology
(2016)
Given genomic variation data from multiple individuals, computing the likelihood of complex population genetic models is often infeasible. To circumvent this problem, we introduce a novel likelihood-free inference framework by applying deep...
OPENALEX
cc-by
DOI: https://doi.org/10.1371/journal.pcbi.1004845
PMC: 4809617
Md Zahangir Alom, Tarek M. Taha, Chris Yakopcic, Stefan K.E. Westberg et al. • Electronics
(2019)
In recent years, deep learning has garnered tremendous success in a variety of application domains. This new field of machine learning has been growing rapidly and has been applied to most traditional application domains, as well as some ne...
OPENALEX
cc-by
DOI: https://doi.org/10.3390/electronics8030292
Abderrazak Khediri, Ayoub Yahiaoui, Mohamed Ridda Laouar, Yacine Belhocine • Acta Informatica Pragensia
(2024)
Blackout events in smart grids can have significant impacts on individuals, communities and businesses, as they can disrupt the power supply and cause damage to the grid. In this paper, a new proactive approach to an early warning system fo...
DOAJ
Open Access (DOAJ)
DOI: 10.18267/j.aip.246
Mengnan Du, Fan Yang, Na Zou, Xia Hu • IEEE Intelligent Systems
(2020)
Fairness in deep learning has attracted tremendous attention recently, as deep learning is increasingly being used in high-stake decision making applications that affect individual lives. We provide a review covering recent progresses to ta...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/mis.2020.3000681
EBRAHIM NASIRI, ALI POUR-SAFAR, MAHDOKHT TAHERI, ABDULLAH SEDIGHI PASHAKY et al. • Journal of Advances in Medical Education and Professionalism
(2017)
Introduction: Several factors play a role in academic achievement,
individual’s excellence and capability to do actions and tasks that
the learner is in charge of in learning areas. The main goal of this
study was to present academic ach...
DOAJ
Open Access (DOAJ)
Fen Li, Yu-Ting Si, Jia-Wei Tang, Zeeshan Umar et al. • Computational and Structural Biotechnology Journal
(2024)
WHO classified Helicobacter pylori as a Group I carcinogen for gastric cancer as early as 1994. However, despite the high prevalence of H. pylori infection, only about 3 % of infected individuals eventually develop gastric cancer, with the ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.csbj.2024.09.008
Siripen Pongpaichet, Boonyapat Sukosit, Chitchaya Duangtanawat, Jiramed Jamjongdamrongkit et al. • IEEE Access
(2024)
Crimes result in not only loss to individuals but also hinder national economic growth. While crime rates have been reported to decrease in developed countries, underdeveloped and developing nations still suffer from prevalent crimes, espec...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3363879
Christopher D. Manning • Computational Linguistics
(2015)
Deep Learning waves have lapped at the shores of computational linguistics for several years now, but 2015 seems like the year when the full force of the tsunami hit the major Natural Language Processing (NLP) conferences. However, some pun...
OPENALEX
Open Access
DOI: https://doi.org/10.1162/coli_a_00239
Murat Sari, Arshed A. Ahmad • International Journal of Analysis and Applications
(2019)
The aim of this article is to forecast anemia from a population through biomedical variables of individuals using the multiple linear regression model. The study is conducted in terms of dataset consisting of 539 subjects provided from bloo...
DOAJ
Open Access (DOAJ)
Saleh Albahli • Future Internet
(2019)
Since the introduction of just-in-time effort aware defect prediction, many researchers are focusing on evaluating the different learning methods, which can predict the defect inducing changes in a software product. In order to predict thes...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/fi11120246
Kalaivani Sundararajan, Damon L. Woodard • ACM Computing Surveys
(2018)
In the recent past, deep learning methods have demonstrated remarkable success for supervised learning tasks in multiple domains including computer vision, natural language processing, and speech processing. In this article, we investigate ...
OPENALEX
DOI: https://doi.org/10.1145/3190618
Luigi Capogrosso, Federico Cunico, Dong Seon Cheng, Franco Fummi et al. • IEEE Access
(2024)
The emergence of Tiny Machine Learning (TinyML) has positively revolutionized the field of Artificial Intelligence by promoting the joint design of resource-constrained IoT hardware devices and their learning-based software architectures. T...
OPENALEX
cc-by
DOI: https://doi.org/10.1109/access.2024.3365349
Max Mowbray, Thomas Savage, Chufan Wu, Ziqi Song et al. • Biochemical Engineering Journal
(2021)
The field of machine learning is comprised of techniques, which have proven powerful approaches to knowledge discovery and construction of ‘digital twins’ in the highly dimensional, nonlinear and stochastic domains common to biochemical eng...
OPENALEX
cc-by
DOI: https://doi.org/10.1016/j.bej.2021.108054
Ahmed E. Radwan, David A. Wood, Ahmed A. Radwan • Journal of Rock Mechanics and Geotechnical Engineering
(2022)
Pore pressure is an essential parameter for establishing reservoir conditions, geological interpretation and drilling programs. Pore pressure prediction depends on information from various geophysical logs, seismic, and direct down-hole pre...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jrmge.2022.01.012
Jeremy M. Watt, Reza Borhani, Aggelos K. Katsaggelos • Cambridge University Press eBooks
(2020)
With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuiti...
OPENALEX
DOI: https://doi.org/10.1017/9781108690935