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Academic Articles & Research Papers
Showing 20 of 187 academic articles
Fateme Hassanli, Mohammad Hossein Paydar • Journal of Materials Research and Technology
(2021)
In the present work, effect of structural design on the mechanical properties of aluminum foams was studied. Aluminum foams with a relative density in the range of 0.28–0.48 with uniform and graded pore frequency were fabricated through pow...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jmrt.2021.06.073
Xiaojun Hu, Feng Xu • IET Microwaves, Antennas & Propagation
(2022)
Abstract In this study, a novel coupling structure based on half‐mode substrate‐integrated waveguide (HMSIW) is proposed with a small size and broad bandwidth. The HMSIW coupler is realised by connecting their equivalent magnetic walls with...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/mia2.12215
Duo Wang, Ju Wang, Yi Zhong • IEEE Access
(2023)
The adaptive Frequency-Hopping(FH) technique based on interference sensing can further enhance the anti-interference performance of hybrid Direct-Sequence/FH Spread Spectrum(DS/FH SS) system and FH Orthogonal Frequency Division Multiplexing...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3325252
Joanna Łabędzka • Problemy Eksploatacji
(2019)
Businesses today are incredibly data rich, and dealing with large amount of data, so making some inferences andconclusions, depending on the organisation size and complexity of its processes, it has been a challenge, especially that thenext...
DOAJ
Open Access (DOAJ)
DOI: 10.5604/01.3001.0055.5944
Anton Vijeevaraj Ann Sinthusha, Eugene Y. A. Charles, Ruvan Weerasinghe • IEEE Access
(2025)
Machine Reading Comprehension (MRC) is a challenging task in Natural Language Processing (NLP), crucial for automated customer support, enabling chatbots and virtual assistants to accurately understand and respond to queries. It also enhanc...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3530949
Olaronke G. Iroju, Olaleke Janet • International Journal of Information Technology and Computer Science
(2015)
The healthcare system is a knowledge driven industry which consists of vast and growing volumes of narrative information obtained from discharge summaries/reports, physicians case notes, pathologists as well as radiologists reports.This inf...
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Open Access
DOI: https://doi.org/10.5815/ijitcs.2015.08.07
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info17100987
Vineet Raina, Srinath Krishnamurthy • Apress eBooks
(2021)
AI, as discussed in Chapter 1, refers to computers behaving intelligently like humans. One aspect of human intelligence is the capability of understanding and speaking languages. The subfield of AI that focuses on making computers seemingly...
OPENALEX
DOI: https://doi.org/10.1007/978-1-4842-7419-4_6
Hang Li • National Science Review
(2017)
Deep learning refers to machine learning technologies for learning and utilizing ‘deep’ artificial neural networks, such as deep neural networks (DNN), convolutional neural networks (CNN) and recurrent neural networks (RNN). Recently, deep ...
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DOI: https://doi.org/10.1093/nsr/nwx110
Binggui Zhou, Guanghua Yang, Zheng Shi, Shaodan Ma • IEEE Reviews in Biomedical Engineering
(2022)
Smart healthcare has achieved significant progress in recent years. Emerging artificial intelligence (AI) technologies enable various smart applications across various healthcare scenarios. As an essential technology powered by AI, natural ...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/rbme.2022.3210270
Yu Wang, Shu Xu, Zenghui Ding, Cong Liu et al. • AI
(2025)
Background/Objectives: Knowledge Graphs (KGs) are often incomplete, which can significantly impact the performance of downstream applications. Manual completion of KGs is time-consuming and costly, emphasizing the importance of developing a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/ai6070156
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
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan et al. • IEEE Open Journal of the Communications Society
(2021)
Sensing capability is one of the most highlighted new feature of future 6G wireless networks. This paper addresses the sensing potential of Large Intelligent Surfaces (LIS) in an exemplary Industry 4.0 scenario. Besides the attention receiv...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/OJCOMS.2021.3073467
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/act15020091
Zahraa Tarek, Esraa Hasan • Journal of the Saudi Society of Agricultural Sciences
(2026)
Abstract Self-supervised learning (SSL) has emerged as a pivotal paradigm in computer vision, particularly for applications where labeled data are limited, costly, or labor-intensive to obtain. This paradigm is especially relevant to sustai...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44447-026-00151-x
Hairui Zhu, Shanhong Guo, Weixing Sheng, Lei Xiao • Remote Sensing
(2023)
Ship classification technology using synthetic aperture radar (SAR) has become a research hotspot. Many deep-learning-based methods have been proposed with handcrafted models or using transplanted computer vision networks. However, most of ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs15112904
Vincenzo Carletti, Antonio Greco, Alessia Saggese, Bruno Vento • IEEE Access
(2026)
Automatic fire detection in video surveillance is a critical capability for safeguarding industrial sites, public infrastructures, and natural environments. Although recent advances in deep learning have substantially improved early fire de...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3664195
Guiqing He, Siyuan Xing, Xingjian He, Jun Wang et al. • IET Computer Vision
(2019)
The image fusion method based on sparse representation in the single‐scale image domain has produced better fusion results than the classic methods based on multi‐scale analysis nowadays. However, due to the limited number of dictionary ato...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/iet-cvi.2018.5496
Otilia Zvorișteanu, Simona Caraiman, Vasile-Ion Manta • Mathematics
(2022)
Environment perception and understanding represent critical aspects in most computer vision systems and/or applications. State-of-the-art techniques to solve this vision task (e.g., semantic instance segmentation) require either dedicated h...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math10142365
Jinxin Chen, Luo Liu, Peng Li, Wen Yao et al. • Agriculture
(2025)
The resting postures of piglets are crucial indicators for assessing their health status and environmental comfort. This study proposes a resting posture recognition method for piglets during lactation based on the PPR-YOLO model, aiming to...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/agriculture15030230