Home »
Academic Articles & Research Papers
Showing 20 of 341 academic articles
GAO Lan, MAO Huiqin, LU Xi* • 能源环境保护
(2023)
Obtaining accurate emissions of methane (CH_4), one of the most important non-carbon-dioxide greenhouse gases, is the basis for formulating and validating emission reduction policies. In terms of shortcomings from the "bottom-up" approach, ...
DOAJ
Open Access (DOAJ)
DOI: 10.20078/j.eep.20230204
Jaehyun Lee, Jinho Kim, Woong Ko • Applied Sciences
(2019)
Electric load forecasting for buildings is important as it assists building managers or system operators to plan energy usage and strategize accordingly. Recent increases in the adoption of advanced metering infrastructure (AMI) have made b...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app9061231
Recep Evrim Ozgen, Ahmet Yazar, Mustafa Serdar Osmanca • IEEE Access
(2026)
Future sixth-generation (6G) wireless networks are expected to evolve beyond traditional communication infrastructures and incorporate native sensing and environmental awareness capabilities. While previous generations primarily focused on ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3679953
Taweh Beysolow • Apress eBooks
(2018)
This book shows how to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to ...
OPENALEX
DOI: https://doi.org/10.1007/978-1-4842-3733-5
Kenneth Church, Lisa F. Rau • Communications of the ACM
(1995)
Vast quantities of text are becoming available in electronic form, ranging from published documents (e.g., electronic dictionaries, encyclopedias, libraries and archives for information retrieval services), to private databases (e.g., marke...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/219717.219778
Danielle Ryder • Discover Artificial Intelligence
(2026)
Abstract This paper proposes a hierarchy of epistemic betrayal that distinguishes deceptive behaviors in large language models (LLMs) by the depth at which the infrastructure for epistemic correction is compromised. Drawing on Park et al.’s...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01438-2
Wen-wai Yim, Meliha Yetişgen, William Proctor Harris, Sharon W. Kwan • JAMA Oncology
(2016)
IMPORTANCE: Natural language processing (NLP) has the potential to accelerate translation of cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of personalized medicine. This technology can harvest im...
OPENALEX
DOI: https://doi.org/10.1001/jamaoncol.2016.0213
Hyungchul Yoon, Vedhus Hoskere, Jong-Woong Park, Billie F. Spencer • Sensors
(2017)
Computer vision techniques have been employed to characterize dynamic properties of structures, as well as to capture structural motion for system identification purposes. All of these methods leverage image-processing techniques using a st...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s17092075
Buhari Salisu • International Journal of AI and Advanced Computing
(2026)
The rapid advancement of Artificial Intelligence (AI), wearable computing, and Internet of Things (IoT) technologies has significantly transformed digital interactions across various sectors. However, the adoption of smart wearable technolo...
DOAJ
Open Access (DOAJ)
DOI: 10.5281/zenodo.21981139
Stuart Stock • Field Actions Science Reports
(2026)
As the global economy confronts the dual imperatives of ecological preservation and technological advancement, we at Veolia, are executing a comprehensive strategy that places Artificial Intelligence (AI) at the core of our operations and f...
DOAJ
Open Access (DOAJ)
Salma González-Sabbagh, Antonio Robles‐Kelly • ACM Computing Surveys
(2023)
Underwater computer vision has attracted increasing attention in the research community due to the recent advances in underwater platforms such as of rovers, gliders, autonomous underwater vehicles (AUVs) , and the like, that now make possi...
OPENALEX
other-oa
DOI: https://doi.org/10.1145/3578516
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
Luna Ngeljaratan, Elif Ecem Bas, Mohamed A. Moustafa • Sensors
(2024)
Computer vision in the structural health monitoring (SHM) field has become popular, especially for processing unmanned aerial vehicle (UAV) data, but still has limitations both in experimental testing and in practical applications. Prior wo...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24051450
Dong Trong Nguyen, Christian Lindahl Elseth, Jakob Rude Øvstaas, Nikolai Arntzen et al. • Frontiers in Robotics and AI
(2025)
As aquaculture expands to meet global food demand, it remains dependent on manual, costly, infrequent, and high-risk operations due to reliance on high-end Remotely Operated Vehicles (ROVs). Scalable and autonomous systems are needed to ena...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frobt.2025.1655242
Mohamed A. Abdelwahab, Shizuo Kaji, Maiya Hori, Shigeru Takano • Computational Urban Science
(2026)
Abstract Understanding how environmental conditions and policy interventions jointly shape pedestrian mobility is essential for designing resilient, adaptive, and human-centered urban spaces. This study presents a computer-vision framework ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s43762-026-00284-3
Marcelo T. Okano, William Aparecido Celestino Lopes, Sergio Miele Ruggero, Oduvaldo Vendrametto et al. • Algorithms
(2025)
This paper presents a lightweight and cost-effective computer vision solution for automated industrial inspection using You Only Look Once (YOLO) v8 models deployed on embedded systems. The YOLOv8 Nano model, trained for 200 epochs, achieve...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/a18080510
Billie F. Spencer, Vedhus Hoskere, Yasutaka Narazaki • Engineering
(2019)
Computer vision techniques, in conjunction with acquisition through remote cameras and unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure condition assessment. The ultimate goal of such a system i...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.eng.2018.11.030
Keyi Li, Xiangyang Zhou, Yifan Jia, Ruizhe Wang et al. • Biosensors
(2026)
Background: Myocardial ischemia (MI) is a major cause of morbidity and mortality worldwide and requires timely and reliable detection. Although Spin-Exchange Relaxation-Free (SERF) magnetocardiography (MCG) provides femtotesla-level sensiti...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bios16040228
Feng Xiong, Jintao Wang, Guohua Zhang, Xueming Shi et al. • Advances in Civil Engineering
(2024)
In the construction of the civil engineering infrastructure, the noise and vibration are affected by the geological conditions, adopting specific construction techniques based on the geological conditions is of great significance in suppres...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2024/3599911
Robert Sorschag • Future Internet
(2012)
In this work, we address the use of object recognition techniques to annotate what is shown where in online video collections. These annotations are suitable to retrieve specific video scenes for object related text queries which is not pos...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/fi4010179