Home »
Academic Articles & Research Papers
Showing 20 of 788 academic articles
Wenbo Zhao, Xinghua Cheng, Dezhi Wang, Xiaodan Xiong et al. • IET Radar, Sonar & Navigation
(2024)
Abstract In the field of underwater target detection, the passive sonar is an important means of long‐distance target detection. The sonar detection information typically includes both surface and underwater targets, whereas it is a great c...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/rsn2.12653
Yu Wang • Discover Artificial Intelligence
(2026)
Abstract Adaptive digital therapies are needed with increasing rates of youth anxiety. However, existing systems lack personalization and dynamic learning. To solve this, the proposed research is to build a personalized ideological content ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01840-w
Sathya P, Gnanasekaran P • Applied Artificial Intelligence
(2023)
Crop yield forecasting has been well studied in recent decades and is significant in protecting food security. Crop growth is a complex phenomenon that depends on various factors. Machine learning and deep learning trends have emerged as im...
DOAJ
Open Access (DOAJ)
DOI: 10.1080/08839514.2023.2175113
Yuhong Gai, Shuhao Liu, Zhidan Zhang, Jian Wei et al. • Plants
(2025)
Soybean is a vital crop globally and a key source of food, feed, and biofuel. With advancements in high-throughput technologies, soybeans have become a key target for genetic improvement. This comprehensive review explores advances in multi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/plants14050671
Urslla Uchechi Izuazu, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae Min Lee • Discover Internet of Things
(2025)
Abstract Deep learning-based intrusion detection systems (DL-IDS) have proven effective in detecting cyber threats. However, their vulnerability to adversarial attacks and environmental noise, particularly in industrial settings, limits pra...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s43926-025-00100-0
Uttam U. Deshpande, Supriya Shanbhag, Ramesh Koti, Ameet Chate et al. • Frontiers in Computer Science
(2025)
Phone calls are strictly forbidden in certain locations due to the potential security threats. Mobile phones’ growing capabilities have also increased the risk of their misuse in places that are restricted, like manufacturing plants. Unauth...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fcomp.2025.1535775
France Lafleur • ALSIC: Apprentissage des Langues et Systèmes d'Information et de Communication
(2023)
In this article on the conceptualization of the digital space in the teaching-learning of languages, our contribution to the "Architecture of the processes of production and reception" of language (François & Nespoulous, 2014), consists in ...
DOAJ
Open Access (DOAJ)
DOI: 10.4000/alsic.6783
Faisal Kalota • Education Sciences
(2024)
Many educators and professionals in different industries may need to become more familiar with the basic concepts of artificial intelligence (AI) and generative artificial intelligence (Gen-AI). Therefore, this paper aims to introduce some ...
OPENALEX
cc-by
DOI: https://doi.org/10.3390/educsci14020172
Shuiguang Deng, Hailiang Zhao, Weijia Jia Fang, Jianwei Yin et al. • IEEE Internet of Things Journal
(2020)
Along with the rapid developments in communication technologies and the surge in the use of mobile devices, a brand-new computation paradigm, edge computing, is surging in popularity. Meanwhile, the artificial intelligence (AI) applications...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/jiot.2020.2984887
Iain Cockburn, Rebecca M. Henderson, Scott Stern • National Bureau of Economic Research
(2018)
Artificial intelligence may greatly increase the efficiency of the existing economy.But it may have an even larger impact by serving as a new general-purpose "method of invention" that can reshape the nature of the innovation process and th...
OPENALEX
public-domain
DOI: https://doi.org/10.3386/w24449
Qian Zhang, Jie Lu B, Yaochu Jin • Complex & Intelligent Systems
(2020)
Abstract Recommender systems provide personalized service support to users by learning their previous behaviors and predicting their current preferences for particular products. Artificial intelligence (AI), particularly computational intel...
OPENALEX
cc-by
DOI: https://doi.org/10.1007/s40747-020-00212-w
Uyanga Dorjsembe, Ju Hong Lee, Bumghi Choi, Jae Won Song • Computers
(2021)
Deep neural networks have achieved almost human-level results in various tasks and have become popular in the broad artificial intelligence domains. Uncertainty estimation is an on-demand task caused by the black-box point estimation behavi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/computers10040054
Eleftherios Fyntikakis, Spyridon Plakias, Themistoklis Tsatalas, Minas A. Mina et al. • Applied Sciences
(2026)
Background: Strength training (ST) is essential for enhancing athletic performance and reducing injury risk, yet traditional monitoring relies heavily on subjective assessment, limiting objective and individualized evaluation. Objective: Th...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16073565
Meng Tan, Zhe Guo, Yanyi Wang, Xinyi Xu et al. • Journal of Clinical Microbiology
(2026)
ABSTRACT Rapid and accurate identification of Aspergillus species in clinical microbiology laboratories is crucial for aspergillosis diagnosis and antifungal therapy. However, traditional methods still face challenges in distinguishing phyl...
DOAJ
Open Access (DOAJ)
DOI: 10.1128/jcm.00012-26
Matthias Jung, Hanna Rieder, Marco Reisert, Susanne Rospleszcz et al. • Journal of Cachexia, Sarcopenia and Muscle
(2024)
Abstract Background There is increasing evidence that myosteatosis, which is currently not assessed in clinical routine, plays an important role in risk estimation in individuals with impaired glucose metabolism, as it is associated with th...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/jcsm.13527
Yuwen Yang, Feifei Gao, Xiaoli Ma, Shun Zhang • IEEE Access
(2019)
In this paper, online deep learning (DL)-based channel estimation algorithm for doubly selective fading channels is proposed by employing the deep neural network (DNN). With properly selected inputs, the DNN can not only exploit the feature...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2901066
Kipp W. Johnson, Jessica Torres Soto, Benjamin Scott Glicksberg, Khader Shameer et al. • Journal of the American College of Cardiology
(2018)
Artificial intelligence and machine learning are poised to influence nearly every aspect of the human condition, and cardiology is not an exception to this trend. This paper provides a guide for clinicians on relevant aspects of artificial ...
OPENALEX
cc-by
DOI: https://doi.org/10.1016/j.jacc.2018.03.521
Al Amin Biswas • Array
(2024)
Nowadays, artificial intelligence (AI) has been utilized in several domains of the healthcare sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited due to the transparency issue, which is considered ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.array.2024.100345
Kohji Nishida, Ryo Kawasaki, Yiming Qian, Liangzhi Li et al. • BMJ Open
(2024)
Objective Despite extensive exploration of potential biomarkers of cardiovascular diseases (CVDs) derived from retinal images, it remains unclear how retinal images contribute to CVD risk profiling and how the results can inform lifestyle m...
DOAJ
Open Access (DOAJ)
DOI: 10.1136/bmjopen-2023-078609
Jaya Yadav, Shruti Shukla, Kanika Sharma, Nupur Soni et al. • International Conference on Computation, Automation and Knowledge Management (ICCAKM)
(2022)
The industrial revolution has been the main cause ever since tremendous technological advancement was observed. The ubiquitous deployment of recent information and communication technologies (ICT), namely Artificial Intelligence (AI), Inter...
OPENALEX
DOI: https://doi.org/10.1109/iccakm54721.2022.9990098