Results 171 to 180 of about 6,131,436 (285)

Unsupervised learning of temporal regularities in visual cortical populations. [PDF]

Nat Commun
Pojoga S, Andrei A, Dragoi V.
europepmc   +1 more source

MTCA‐Net: Multi‐Task Cascade Analysis Network for Real‐Time Sperm Quality Analysis

Advanced Intelligent Systems, EarlyView.
This article proposes MTCA‐Net, a multi‐task cascaded analysis network for real‐time sperm quality assessment in intracytoplasmic sperm injection. The framework integrates detection, tracking, and segmentation modules to jointly analyze sperm morphology and motility.
Jiajin Li, Wenwen Sun, Jun He, Xinyu Fan, Xuecheng Ge, Fengya Lu, Yadan Wang, Yi Wang, Zhiguo Zhang, Qibing Wu, Jinhua Zhou   +10 more
wiley   +1 more source

Decoding global precipitation processes and particle evolution using unsupervised learning. [PDF]

Sci Adv
King F, Pettersen C, Dolan B, Shates J, Posselt D.   +4 more
europepmc   +1 more source

Deformable Attention Multiscale Feature Fusion Network‐Dehaze: An Adaptive Image Dehazing Method Based on Deformable Attention Multiscale Fusion Network

Advanced Intelligent Systems, EarlyView.
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang, Yajun Chen, Hao Liu, Mingrui Li, Zhiqi Li   +4 more
wiley   +1 more source

More Sophisticated Is Not Always Better: A Comparison of Similarity Measures for Unsupervised Learning of Pathways in Biomolecular Simulations. [PDF]

J Phys Chem B
Jäger M, Wolf S.
europepmc   +1 more source

A Novel Deep Temporal Feature Enhanced Just‐in‐Time Learning Framework for Predicting Rare Earth Component Content

Asia-Pacific Journal of Chemical Engineering, EarlyView.
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, Liangfang Liao, Chunfa Liao, Hui Zhang, Tao Qi, Rongxiu Lu, Wenhao Dai   +6 more
wiley   +1 more source

Pattern Mining of Older Drivers' Driving Behavior Through Telematics-data-driven Unsupervised Learning. [PDF]

IEEE Sens J
Moshfeghi S, Jang J.
europepmc   +1 more source

Integrating One Health to Mitigate the Emergence and Spread of Antimicrobial Resistance in Livestock and Aquaculture

Animal Research and One Health, EarlyView.
Antimicrobial resistance (AMR) is an escalating global threat driven by antimicrobial use in aquaculture and livestock. Resistant pathogens and genes can spread across humans, animals, and the environment through interconnected ecosystems. Using a One Health approach, this review emphasizes antimicrobial stewardship, regulatory strengthening, enhanced ...
Mir Mohammad Ali, Delower Hossain, Ridwan Olamilekan Adesola, Anum Hanif, Shamsaldeen Ibrahim Saeed, Muhammad Abdul Mannan, Anoar Jamai Masroure, Kazi Estieque Alam, Md Kamal Hossain, Sabiha Zarin Tasnim Bristi, Md Jisan Ahmed   +10 more
wiley   +1 more source

Clinical phenotypes among patients that underwent cardiac resynchronization therapy using unsupervised learning integrating gated SPECT. [PDF]

Nucl Med Commun
Leal de Azevedo Junior G, Painter N, He Z, Larsen K, Sha Q, Zhang X, Zou J, Hung GU, Peix A, Mesquita CT, Zhou W.   +10 more
europepmc   +1 more source

Molecular Stratification of Antiphospholipid Syndrome Through Integrative Analysis of the Whole‐Blood RNA Transcriptome

Arthritis &Rheumatology, EarlyView.
Objective Antiphospholipid syndrome (APS) is a thromboinflammatory disorder characterized by clinical and mechanistic heterogeneity that complicates early diagnosis and hinders targeted treatment. We aimed to identify distinct molecular endotypes among antiphospholipid antibody (aPL)–positive patients using whole‐blood transcriptomics.
Amala Ambati, Feiyang Ma, Katarina Kmetova, Sherwin Navaz, Claire K. Hoy, Cyrus Sarosh, Ajay Tambralli, Erika Navarro‐Mendoza, Johann E. Gudjonsson, J. Michelle Kahlenberg, Jacqueline A. Madison, Alí Duarte‐García, Jason S. Knight, Yu Zuo   +13 more
wiley   +1 more source