Results 131 to 140 of about 41,355 (238)
ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley +1 more source
Distinct neuroimaging subtypes of ADHD among adolescents based on semi-supervised learning. [PDF]
Chen Y +8 more
europepmc +1 more source
ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang +6 more
wiley +1 more source
Feedback Recorrection Semantic-Based Image Inpainting Under Semi-Supervised Learning. [PDF]
Ye X, Tan R, Sui M, Chen H, Ying N.
europepmc +1 more source
Comparative histological and semi‐automated image analysis of primate lips: Masson's trichrome‐stained sagittal sections were segmented to quantify the connective tissue, adipose, and muscular components, enabling interspecific comparisons of labial architecture.
Liat Rotenstreich +5 more
wiley +1 more source
Uncertainty-weighted semi-supervised learning with dynamic entropy masking and Bhattacharyya-regularized loss. [PDF]
Ghazal MT, Tanha J, Shahi N, Roshan S.
europepmc +1 more source
Abstract Differences in skull and tooth morphology, stomach contents, and estimated bite force between medium‐to‐large sized (≥100 kg) predatory theropod dinosaurs have long been suspected to correlate with differences in their diets and dietary guilds (e.g., hypercarnivory, piscivory).
Cassius Morrison +9 more
wiley +1 more source
Srnc: semi-supervised learning for robust novel cell-type identification in single cell RNA sequencing data. [PDF]
Nguyen TV, Do VH, Nguyen VL.
europepmc +1 more source
The Role of miRNAs in Chicken Immune Regulation and Prospects for Disease‐Resistant Breeding
A schematic workflow illustrating the screening of disease‐resistant miRNAs and the generation of miRNA‐based disease‐resistant chickens via PGC‐mediated germline genome editing. ABSTRACT MicroRNAs (miRNAs) are emerging as pivotal regulators of the immune system, playing a decisive role in shaping disease resistance in chicken.
Qiangzhou Wang +10 more
wiley +1 more source
Motion feature extraction based on semi-supervised learning and long short-term memory network in digital dance. [PDF]
Yang X, Sun H, Lyu Y, Sun Y.
europepmc +1 more source

