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Academic Articles & Research Papers
Showing 16 of 136 academic articles
Lisha Nie, Siyi Li, Bing Wu, Yuhui Xiong et al. • iRADIOLOGY
(2024)
Abstract The development of 7‐Tesla (7T) magnetic resonance imaging systems has opened new avenues for exploring the advantages of diffusion imaging at higher field strengths, especially in neuroscience research. This review investigates wh...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/ird3.92
Shiv Singh, Neelu Jyothi Ahuja • Discover Computing
(2026)
Abstract The application of deep learning models in resource-constrained environments requires a trade-off among accuracy, efficiency, and interpretability a trilemma frequently neglected in conventional knowledge distillation (KD) approach...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s10791-026-10123-y
Geun Ho Gu, Juhwan Noh, I. P. Kim, Yousung Jung • Journal of Materials Chemistry A
(2019)
Achieving the 2016 Paris agreement goal of limiting global warming below 2 °C and securing a sustainable energy future require materials innovations in renewable energy technologies. Machine learning has demonstrated many successes to accel...
OPENALEX
DOI: https://doi.org/10.1039/c9ta02356a
Cieslak M, Irfanoglu MO, Meisler SL, Salo T et al. • Developmental cognitive neuroscience
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1016/j.dcn.2026.101838
PMC: PMC13734816
Fahad Ahmed Khokhar, Tommaso Zoppi, Luigi Cennini, Andrea Ceccarelli et al. • Scientific Reports
(2026)
Abstract The last decade has seen a surging opportunity for developing autonomous systems (e.g., fully autonomous driving, computer-guided robotic surgery, mobile robots for inspections and surveillance, and manufacturing robots) to relieve...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-45091-2
Nikolaos Sifakis, Antonios Kapenis, Athanasios Kolios, George Arampatzis • Energies
(2026)
Accurate, uncertainty-aware estimation of instantaneous wind turbine output is a prerequisite for integrating onshore assets into low-emission energy systems, where operational monitoring, energy-performance verification, and cooperative as...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en19122897
Elisabeth Källström, Tomas Olsson, John Lindström, Lars Hakansson et al. • International Journal of Prognostics and Health Management
(2018)
In order to reduce unnecessary stops and expensive downtime originating from clutch failure of construction equipment machines; adequate real time sensor data measured on the machine in combination with feature extraction and classification...
DOAJ
Open Access (DOAJ)
DOI: doi:10.36001/ijphm.2018.v9i1.2693
Fang Lin, Yuxing Su, Chenxi Zhao, Farhana Akter et al. • Frontiers in Medicine
(2025)
Visual impairment, stemming from genetic, degenerative, and traumatic causes, affects millions globally. Recent advancements in ophthalmology present novel strategies for managing and potentially reversing these conditions. Here, we explore...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fmed.2025.1567159
Jingchen Zhao, Beatriz Gómez Fariñas • European Business Organization Law Review
(2022)
Abstract When addressing corporate sustainability challenges, artificial intelligence (AI) is a double-edged sword. AI can make significant progress on the most complicated environmental and social problems faced by humans. On the other han...
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DOI: https://doi.org/10.1007/s40804-022-00262-2
Krystyna Jarek, Grzegorz Mazurek • Central European Business Review
(2019)
In recent years, artificial intelligence (AI) has become an emerging trend in different fields: science, business, medicine, automotive and education. AI has also reached marketing. The aim of the paper is to research how deeply AI is appli...
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cc-by-nc-nd
DOI: https://doi.org/10.18267/j.cebr.213
Jinfang Ma, Mao Li, Lingxiao Yang, Qingxing Xie et al. • MedComm
(2025)
ABSTRACT The pancreatic islets of Langerhans, which are composed of α, β, δ, ε, and PP cells, orchestrate systemic glucose homeostasis through tightly regulated hormone secretion. Although the precise mechanisms involving β cells in the ons...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/mco2.70359
Jiaying Liu, Xiangjie Kong, Feng Xia, Xiaomei Bai et al. • IEEE Access
(2018)
The field of artificial intelligence (AI) has shown an upward trend of growth in the 21st century (from 2000 to 2015). The evolution in AI has advanced the development of human society in our own time, with dramatic revolutions shaped by bo...
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Open Access
DOI: https://doi.org/10.1109/access.2018.2819688
Lijia Chen, Pingping Chen, Zhijian Lin • IEEE Access
(2020)
The purpose of this study was to assess the impact of Artificial Intelligence (AI) on education. Premised on a narrative and framework for assessing AI identified from a preliminary analysis, the scope of the study was limited to the applic...
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DOI: https://doi.org/10.1109/access.2020.2988510
Saba Shafi, Anil Vasdev Parwani • Diagnostic Pathology
(2023)
Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic pathology has gone through a staggering transformation wherei...
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DOI: https://doi.org/10.1186/s13000-023-01375-z
PMC: 10546747
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
(2021)
This authoritative reference work will provide readers with a complete overview of artificial intelligence (AI), including its historic development and current status, existing and projected AI applications, and present and potential future...
OPENALEX
DOI: https://doi.org/10.5040/9798400614842