Results 201 to 210 of about 134,465 (305)

Denoising of pre-beamformed photoacoustic data using generative adversarial networks

, 2021
Amir Refaee, Corey J. Kelly, Hamid Moradi, Septimiu E. Salcudean   +3 more
openalex   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Clinical Application of Using Diffusion-Based Wasserstein Generative Adversarial Network for Morphologic Analysis of Blood Cells. [PDF]

J Clin Lab Anal
Kim HY, Ngasa EE, Kim HJ, Kim B, Lim G, Park CH, Kwon HJ, Jang MA, Woo J.   +8 more
europepmc   +1 more source

Face Completion Using Generative Adversarial Network with Pretrained Face Landmark Generator

, 2021
Reda Ghanem, Mohamed Loey
openalex   +1 more source

Prediction of Pipeline Defect Depth and Classification Based on CatBoost

Energy Science &Engineering, EarlyView.
Obtaining detection data using in‐line pipeline inspection, the synthetic minority oversampling technique (SMOTE) is applied to expand the sample set, thereby increasing the number of minority‐class samples. This approach effectively improves minority‐class detection and enhances pipeline safety assessment. ABSTRACT Magnetic flux leakage detection is a
Cong Chen, Rui Li, Guanwei Jia, Dongcun Qin   +3 more
wiley   +1 more source

scGACL: a generative adversarial network with multi-scale contrastive learning for accurate single-cell RNA sequencing imputation. [PDF]

Brief Bioinform
Jiang Y, Zhao M, Yan J, Tang J, Guo F.
europepmc   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Deep atrous context convolution generative adversarial network with corner key point extracted feature for nuts classification. [PDF]

Sci Rep
Devi MS, Jaiganesh M, Priya S, Elakkiya E.   +3 more
europepmc   +1 more source

Multimodal MRI synthesis using unified generative adversarial networks

, 2020
Xianjin Dai, Yang Lei, Yabo Fu, Walter J. Curran, Tian Liu, Hui Mao, Xiaofeng Yang   +6 more
openalex   +2 more sources

Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives

Health Care Science, EarlyView.
Current research of artificial intelligence (AI) in ophthalmology. ABSTRACT Artificial intelligence (AI) is revolutionizing ophthalmology by providing innovative solutions for disease screening, diagnosis, personalized treatment, and the delivery of global healthcare services.
She Chongyang, Tao Yong
wiley   +1 more source