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IEEE Access Special Section Editorial: 5G and Beyond Mobile Wireless Communications Enabling Intelligent Mobility

Ke Guan, Markus Rupp, Thomas Kurner, Cesar Briso et al. • IEEE Access (2020)

Increasing urbanization is one major trend that shapes tomorrow’s society; by 2050, more than 85% of the developed world’s population will live in a comparatively small number of ever-growing cities. Within such cities ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.3037635

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 Disinformation

Katarina Kertysova • Security and Human Rights (2018)

This article explores the challenges and opportunities presented by advances in artificial intelligence (AI) in the context of information operations. The article first examines the ways in which AI can be used to counter disinformation onl...

OPENALEX cc-by-nc DOI: https://doi.org/10.1163/18750230-02901005

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

A is for Artificial Intelligence

Randi Williams, Hae Won Park, Cynthia Breazeal • CHI Conference on Human Factors in Computing Systems (2019)

We developed a novel early childhood artificial intelligence (AI) platform, PopBots, where preschool children train and interact with social robots to learn three AI concepts: knowledge-based systems, supervised machine learning, and genera...

OPENALEX Open Access DOI: https://doi.org/10.1145/3290605.3300677

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

Developing Artificial Intelligence-Powered Monetary Policy Communication Indicators for Macroeconomic Inquiries in Ghana

Francis Mawuli Abude, Jones Odei-Mensah, Eric Schaling • Communicare (2024)

Central bank communication is a valuable source of information designed to shape the expectations of economic agents within and outside an economy. In particular, the content of Monetary Policy Committees’ press releases and statements refl...

DOAJ Open Access (DOAJ) DOI: 10.36615/jcsa.v43i1.2779

Meta-surface plasmon resonance microscopy for sensitive, high-throughput, and long-term label-free analysis of cell adhesion dynamics

Mingqian Chen, Wen Li, Taoyu Hu, Jiaxiang Chang et al. • Journal of Nanobiotechnology (2025)

Abstract Quantitative, label-free monitoring of dynamic cell adhesion remains challenging. Meta-Surface Plasmon Resonance Microscopy (Meta-SPRM) is a novel platform integrating bright-field microscopy with engineered Meta-SPR nanocup arrays...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12951-025-03828-7

Artificial intelligence

Igor Aleksander • Electronics and Power (1976)

The dividing line between pattern recognition and artificial intelligence is very slim. Consequently, the pattern-recognition ability of the random-access memory can be utilised in implementing networks of high ‘intelligence’...

OPENALEX DOI: https://doi.org/10.1049/ep.1976.0108

Artificial Intelligence, Algorithmic Pricing, and Collusion

Emilio Calvano, Giacomo Calzolari, Vincenzo Denicolò, Sergio Pastorello • American Economic Review (2020)

Increasingly, algorithms are supplanting human decision-makers in pricing goods and services. To analyze the possible consequences, we study experimentally the behavior of algorithms powered by Artificial Intelligence (Q-learning) in a work...

OPENALEX Open Access DOI: https://doi.org/10.1257/aer.20190623

IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends

Sameer Qazi, Bilal A. Khawaja, Qazi Umar Farooq • IEEE Access (2022)

Smart agriculture techniques have recently seen widespread interest by farmers. This is driven by several factors, which include the widespread availability of economically-priced, low-powered Internet of Things (IoT) based wireless sensors...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2022.3152544

Artificial intelligence in diagnostic pathology

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...

OPENALEX cc-by DOI: https://doi.org/10.1186/s13000-023-01375-z PMC: 10546747

Artificial intelligence in Internet of things

Ashish Kumar Ghosh, Debasrita Chakraborty, Anwesha Law • CAAI Transactions on Intelligence Technology (2018)

Functioning of the Internet is persistently transforming from the Internet of computers (IoC) to the ‘Internet of things (IoT)’. Furthermore, massively interconnected systems, also known as cyber‐physical systems (CPSs), are emerging from t...

OPENALEX cc-by-nd DOI: https://doi.org/10.1049/trit.2018.1008

On the practical aspects of machine learning based active power loss forecasting in transmission networks

Franko Pandžić, Ivan Sudić, Tomislav Capuder, Ivan Pavičić • IET Generation, Transmission & Distribution (2024)

Abstract The cost for covering active power losses makes a significant item in transmission system operators (TSO) annual budgets, and still it received limited attention in the existing literature. The focus of accurate power loss forecast...

DOAJ Open Access (DOAJ) DOI: 10.1049/gtd2.13205