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Artificial intelligence in plant breeding

Muhammad Amjad Farooq, Shang Gao, Muhammad Adeel Hassan, Zhangping Huang et al. • Trends in Genetics (2024)

Harnessing cutting-edge technologies to enhance crop productivity is a pivotal goal in modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data analysis and pattern recognition, and is revolutionizing nume...

OPENALEX cc-by-nc DOI: https://doi.org/10.1016/j.tig.2024.07.001

A physics-informed spatiotemporal graph neural network for photovoltaic power forecasting and micro-anomaly localization

Mortatha Faleh Majed, Ali S. Abed Al Sailawi, Hassan A. Hameed Al-Hamzawi • Next Energy (2026)

Accurate power forecasting and precise fault diagnosis are critical for the reliable operation of large-scale photovoltaic systems. However, existing data-driven models often fail to capture complex spatiotemporal dependencies and lack phys...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nxener.2026.101127

Artificial intelligence and employment

Alexandre Georgieff, Raphaela Hyee • OECD social employment and migration working papers (2021)

Recent years have seen impressive advances in artificial intelligence (AI) and this has stoked renewed concern about the impact of technological progress on the labour market, including on worker displacement. This paper looks at the possib...

OPENALEX DOI: https://doi.org/10.1787/c2c1d276-en

A review of optimization strategies for deep and machine learning in diabetic macular edema

A. M. Mutawa, Khalid Sabti, Bibin Shalini Sundaram Thankaleela, Seemant Raizada • Frontiers in Artificial Intelligence (2026)

Diabetic macular edema (DME) is a primary contributor to visual impairment in diabetic patients, necessitating precise and prompt analysis for optimal treatment. Recent breakthroughs in deep learning (DL) and machine learning (ML) have yiel...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2026.1684752

A bibliometric analysis of industry 4.0 digital manufacturing and smart technologies for sustainable development

Ferhat Yilmaz, Zeynep Ozguner • Discover Sustainability (2026)

Abstract This study provides a broad bibliometric analysis of Industry 4.0 as well as technology-based production systems within the appropriate scientific literature to target the description of the dynamic structure, intellectual foundati...

DOAJ Open Access (DOAJ) DOI: 10.1007/s43621-026-03275-w

Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids

Christoph Balada, Max Bondorf, Sheraz Ahmed, Markus Zdrallek et al. • IEEE Access (2025)

Electricity grids have become an essential part of daily life, even if they are often not noticed in everyday life. We usually only become particularly aware of this dependence by the time the electricity grid is no longer available. Howeve...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3560811

Artificial Intelligence

Christina L. McDowell Marinchak, Edward Forrest, Bogdan Hoanca • International Journal of E-Entrepreneurship and Innovation (2018)

As marketers and consumers simultaneously adopt artificial intelligence (AI) services and applications, the dynamic of the process of exchange between the buyer and seller in the marketplace is being fundamentally altered. This article revi...

OPENALEX DOI: https://doi.org/10.4018/ijeei.2018070102

Artificial Intelligence

Ibragim Esenovich Suleimenov, Yelizaveta Sergeevna Vitulyova, Akhat Serikuly Bakirov, Oleg Gabrielyan • International Conference on Computer Technology Applications (ICCTA) (2020)

Based on the principle of dialectic symmetry formulated by the philosophy of dialectic positivism, an interpretation of the concept of "artificial intelligence" is proposed. This principle assumes the existence of a hierarchy of information...

OPENALEX DOI: https://doi.org/10.1145/3397125.3397141

Artificial Intelligence in Education: A Review

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...

OPENALEX cc-by DOI: https://doi.org/10.1109/access.2020.2988510

Timor Leste in ASEAN: Implications for ASEAN-Led Economic Multilateralism in the Digital Field

Evgeny A. Kanaev • Vestnik RUDN. International Relations (2026)

The paper explores the main implications of East Timor’s accession to the Association of Southeast Asian Nations (ASEAN) in October 2025 for ASEAN-led economic projects and initiatives in the digital field. The research aims to identify the...

DOAJ Open Access (DOAJ) DOI: 10.22363/2313-0660-2026-26-3-476-488

AI-Driven Integration of Deep Learning With Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction

Kecheng Huang, Chujun Wu, Rongpeng Pi, Jieyu Fang • JMIR Medical Informatics (2025)

This viewpoint article explores the transformative role of artificial intelligence (AI) in predicting perioperative hypoxemia through the integration of deep learning with multimodal clinical data, including lung imaging, pulmonary function...

DOAJ Open Access (DOAJ) DOI: 10.2196/73995

Enhancing underwater target detection: Fusion of spatio‐temporal incompletely‐aligned AIS and sonar information via DTW and multi‐head attention mechanism

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

Neural Networks and Artificial’s Intelligence’s Algorithms in the Tasks of Diagnostics Foreign Bodies

Олександр Саленко, Віктор Черняк, Вадим Орел, Богдан Саленко • Mechanics and Advanced Technologies (2026)

The paper considers a device in which information about the presence of a foreign body a fragment in a wound is obtained using a special compact sensor: a mechanical elastic flexible rod, which is placed in a protective soft tube and connec...

DOAJ Open Access (DOAJ) DOI: 10.20535/2521-1943.2026.10.1(108).344614

Design of High-Dimensional Maps with Sine Terms

Othman Abdullah Almatroud, Viet-Thanh Pham, Giuseppe Grassi, Mohammad Alshammari et al. • Mathematics (2023)

The use of the advancements in memristor technology to construct chaotic maps has garnered significant research attention in recent years. The combination of memristors and nonlinear terms provides an effective approach to proposing novel m...

DOAJ Open Access (DOAJ) DOI: 10.3390/math11173725

Comparative architectural evaluation of CNN models with alternative classifiers for UAV-based detection of damaged green zones

Nodir Rakhimov, Jura Kuvandikov, Ma'ruf Tojiyev, Dilmurod Khasanov et al. • Frontiers in Artificial Intelligence (2026)

Unmanned aerial vehicle imagery provides a practical and high-resolution data source for monitoring the spatial condition of urban and peri-urban green zones. However, the reliable detection of damaged, stressed, or declining vegetation are...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2026.1910842

Imago Imaginis

Marjana Dolšina Delač • Ars & Humanitas (2026)

Teaching formal analysis in art history often reveals gaps between students’ visual perception and their analytical articulation. This study explores the pedagogical potential of AI image generators in art history education, focusing on the...

DOAJ Open Access (DOAJ) DOI: 10.4312/ars.20.1.159-177

Study on the impact of meteorological factors on influenza in different periods and prediction based on artificial intelligence RF-Bi-LSTM algorithm: to compare the COVID-19 period with the non-COVID-19 period

Hansong Zhu, Si Chen, Weixia Qin, Joldosh Aynur et al. • BMC Infectious Diseases (2024)

Abstract Objective At different times, public health faces various challenges and the degree of intervention measures varies. The research on the impact and prediction of meteorology factors on influenza is increasing gradually, however, th...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12879-024-09750-x

Legal Personhood for Artificial Intelligences

Lawrence B. Solum • Routledge eBooks (2020)

Could an artificial intelligence (AI) become a legal person? As of today, this question is only theoretical. First, putting the AI debate in a concrete legal context acts as a pragmatic Occam’s razor. Second, and more controversially, the p...

OPENALEX Open Access DOI: https://doi.org/10.4324/9781003074991-37