Results 91 to 100 of about 2,740,047 (370)
Wasserstein Introspective Neural Networks
, 2018 We present Wasserstein introspective neural networks (WINN) that are both a generator and a discriminator within a single model. WINN provides a significant improvement over the recent introspective neural networks (INN) method by enhancing INN's ...
Fan, Fan +3 more
core +1 more source
Unsupervised Classification Reveals New Evolutionary Pathways
, 2023 While we already seem to have a general scenario of the evolution of different types of galaxies, a complete and satisfactory understanding of the processes that led to the formation of all the variety of today's galaxy types is still beyond our reach.
Siudek, M. +7 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
MachinesBrain–computer interfaces (BCIs) provide a direct communication pathway between the central nervous system and external environments, enabling human–machine interaction control.
Haoye Wang +4 more
doaj +1 more source
Classification Method for Surface Defects of Strip Steel Based on Dynamic Joint Weighting [PDF]
Jisuanji gongchengThe surface quality of strip steel is an important indicator of the quality of steel products. Research on the classification of surface defects throughout the production process can reduce the occurrence of surface defects and improve the accuracy of ...
WANG Ya, GAN Qingsong, SHEN Qi, SONG Yuqing, LIU Yi, HAN Kai, LIU Zhe
doaj +1 more source
Scientific Reports, 2021 Affective computing has suffered by the precise annotation because the emotions are highly subjective and vague. The music video emotion is complex due to the diverse textual, acoustic, and visual information which can take the form of lyrics, singer ...
Yagya Raj Pandeya +2 more
doaj +1 more source
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression
, 2013 Using supervised machine learning approaches to recognize human activities from on-body wearable accelerometers generally requires a large amount of labelled data. When ground truth information is not available, too expensive, time consuming or difficult
Amirat, Yacine +4 more
core +4 more sources
Advanced Healthcare Materials, EarlyView.Antimicrobial peptide (AMP)‐loaded nanocarriers provide a multifunctional strategy to combat drug‐resistant Mycobacterium tuberculosis. By enhancing intracellular delivery, bypassing efflux pumps, and disrupting bacterial membranes, this platform restores phagolysosome fusion and macrophage function.
Christian S. Carnero Canales +11 more
wiley +1 more source
BMC Cancer, 2018 Background The Union for International Cancer Control (UICC) tumor-node-metastasis (TNM) classification is a key gastric cancer prognosis system. This study aimed to create a new TNM system to provide a reference for the clinical diagnosis and treatment ...
Zhiqiong Wang +11 more
doaj +1 more source
An unsupervised method for social network spammer detection based on user information interests
Journal of Big Data, 2022 Online Social Networks (OSNs) are a popular platform for communication and collaboration. Spammers are highly active in OSNs. Uncovering spammers has become one of the most challenging problems in OSNs.
Darshika Koggalahewa, Yue Xu, Ernest Foo
doaj +1 more source