Results 281 to 290 of about 1,088,192 (320)

Unveiling interfacial dead layer in wurtzite ferroelectrics. [PDF]

Nat Commun
Wang J, Li YQ, Wang R, Liu Q, Ye H, Wang P, Xu X, Yang H, Liu F, Sheng B, Yang L, Yin X, Tong Y, Wang T, Tong WY, Li XZ, Duan CG, Shen B, Wang X.   +18 more
europepmc   +1 more source

Digital design and optimization of the integrated synthesis and crystallization process using data‐driven approaches

AIChE Journal, EarlyView.
Abstract This study presents a data‐driven modeling and multi‐objective optimization framework for an integrated section of continuous pharmaceutical manufacturing, focusing on flow synthesis and continuous crystallization. To address data scarcity and trade‐offs among product quality, efficiency, and environmental impact, the framework combines ...
Yiming Ma, Wei Li, Jiaxu Liu, Gao Shang, Huaiyu Yang, Junbo Gong, Zoltan K. Nagy, Brahim Benyahia   +7 more
wiley   +1 more source

Platelets Image Classification Through Data Augmentation: A Comparative Study of Traditional Imaging Augmentation and GAN-Based Synthetic Data Generation Techniques Using CNNs. [PDF]

J Imaging
Abidoye I, Ikeji F, Coupland CA, Calaminus SDJ, Sander N, Sousa E.   +5 more
europepmc   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

Personal health data protection and intelligent healthcare applications under generative adversarial network. [PDF]

Sci Rep
Gao X, Mi W, Feng X.
europepmc   +1 more source

Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness

Advanced Intelligent Discovery, EarlyView.
Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng, Jianan Tang, Ningxuan Wen, Jason Shaw, Siddhartha Sarkar, Lionel Vargas‐Gonzalez, Nicholas Ku, Jianhua Tong, Rajendra K. Bordia, Dongsheng Li, Fei Peng   +10 more
wiley   +1 more source

Generative AI mitigates representation bias and improves model fairness through synthetic health data. [PDF]

PLoS Comput Biol
Marchesi R, Micheletti N, I-Hsien Kuo N, Barbieri S, Jurman G, Osmani V.   +5 more
europepmc   +1 more source

Generative Ai for Cardiovascular Cell Type‐Specific Fluorescence Colorization of Live‐Cell hPSC‐Derived Cardiac Organoids

Advanced Intelligent Discovery, EarlyView.
A generative AI system is developed for colorizing phase contrast images of human pluripotent stem cell (hPSC)‐derived cardiac organoids (COs) from bright‐field microscopic imaging using conditional generative adversarial networks (cGANs). By giving these phase contrast images with multichannel fluorescence colorization, this intelligence system ...
Arun Kumar Reddy Kandula, Tanakit Phamornratanakun, Angello Huerta Gomez, Marcel El‐Mokahal, Zhen Ma, Yunhe Feng, Huaxiao Yang   +6 more
wiley   +1 more source

Optimized deep learning approach for lung cancer detection using flying fox optimization and bidirectional generative adversarial networks. [PDF]

PeerJ Comput Sci
Abdullah Alohali M, Alqahtani H, Ebad SA, Alotaibi FA, K V, Cho J.   +5 more
europepmc   +1 more source