Αποτελέσματα Αναζήτησης
4 Ιουλ 2024 · This review will discuss the application of expert systems, machine learning and deep learning approaches in the context of refractive lens design generation. Optimisation of SPDs generated by AI networks is considered to be outside of the scope of this review.
31 Μαρ 2021 · Techniques from artificial intelligence have been widely applied in optical communication and networks, evolving from early machine learning (ML) to the recent deep learning (DL). This paper focuses on state-of-the-art DL algorithms and aims to highlight the contributions of DL to optical communications.
23 Φεβ 2022 · Deep learning is a subset of machine learning, which is defined as the use of specific algorithms that enable machines to automatically learn patterns from large amounts of historical data,...
1 Απρ 2023 · To illustrate, assess and map research at the intersection of AI and innovation, we performed a Systematic Literature Review (SLR) of published work indexed in the Clarivate Web of Science (WOS) and Elsevier Scopus databases (the final sample includes 1448 articles).
9 Νοε 2022 · We review the relevant literature and develop a conceptual framework to specify the role of machine learning in building (artificial) intelligent agents. Additionally, we propose a consistent...
25 Ιουλ 2022 · In this paper, the recent advances on almost all aspects of adaptive optics based on machine learning are summarized. The state-of-the-art performance of intelligent adaptive optics are reviewed. The potential advantages and deficiencies of intelligent adaptive optics are also discussed.
3 Ιαν 2023 · This review highlights the applications of AI in ophthalmology: a specialty that lends itself well to the integration of computer algorithms due to the high volume of digital imaging, data, and objective metrics such as central retinal thickness.
