Results 111 to 120 of about 102,109 (257)

Semi-supervised encrypted traffic classification using composite features set

open access: yes, 2012
Many network management tasks such as managing bandwidth budget and ensuring quality of service objectives rely on accurate classification of network traffic. But the statistical features of encrypted traffics are not stable and do not contain sufficient
H Liu (660805)   +2 more
core  

Large‐Scale Genomics Reveals Three‐Source Ancestry and Layered Adaptation to High Altitude in Tibetan Chickens

open access: yesAdvanced Science, EarlyView.
Whole‐genome analysis of 1,054 chickens reveals three ancestral sources (NWC, SYA, and SHF) with distinct temporal entry patterns into the Tibetan Plateau. Route‐specific selection scans, calibrated against a demographic null, suggest complementary functional enrichments—vascular homeostasis (NWC), calcium signaling and cardiac adaptation (SYA), and ...
Zongyi Zhao   +7 more
wiley   +1 more source

A semi-supervised map segmentation of brain tissues

open access: yes, 2004
This paper presents a method for semi-supervised MAP (maximum a-posterior probability) segmentation of brain tissues where labelled data are available for either all types of tissues or only a few types of tissues possibly at different levels of quality.
de Silva, C., Li, W., Attikiouzel, Y.
core  

Multi‐Omics Profiling Reveals Immunomodulatory and Pro‐Regenerative Effects of a Graphene Oxide–Collagen Scaffold in Massive Rotator Cuff Tears

open access: yesAdvanced Science, EarlyView.
A graphene oxide/collagen scaffold is developed for chronic massive rotator cuff tear repair. The scaffold improves compressive stability, supports reparative mesenchymal differentiation, and modulates the immune microenvironment. In chronic MRCT models, it reduces muscle degeneration, enhances tendon–bone regeneration, and improves functional recovery,
Renwen Wan   +24 more
wiley   +1 more source

spa: Semi-Supervised Semi-Parametric Graph-Based Estimation in R

open access: yes
In this paper, we present an R package that combines feature-based (X) data and graph-based (G) data for prediction of the response Y . In this particular case, Y is observed for a subset of the observations (labeled) and missing for the remainder ...
Mark Culp
core  

Introgressed Variation in TaMYB7‐A1 Drives Graded Dormancy and Climate‐Adaptive Pre‐Harvest Sprouting Resistance in Wheat

open access: yesAdvanced Science, EarlyView.
TaMYB7‐A1 directly activates TaABI5 to enhance ABA signaling and regulate ABA‐GA homeostasis, enforcing seed dormancy. Its superior allele, derived from wild einkorn introgression, harbors a MITE insertion that elevates expression and two amino acid substitutions that enhance transcriptional activity, collectively generating graded PHS resistance for ...
Hao Wang   +18 more
wiley   +1 more source

Semi-Supervised Learning for Sediment Classification Using Convolutional Neural Networks with Digital Elevation Model and Backscatter Data

open access: yesArchives of Acoustics
Accurate sediment classification is crucial for advancing marine research, environmental monitoring, and sustainable seabed use. However, acquiring large amounts of labeled data in such settings is often challenging, expensive, and time-consuming.
Paweł Nadachowski   +5 more
doaj   +1 more source

A Computational Strategy for Identifying Self‐Assembling Food‐Derived Molecules for Antiparasitic Nanotherapy

open access: yesAdvanced Science, EarlyView.
An integrated computational screening strategy identified ursolic acid (UA) and 18β‐glycyrrhetinic acid (18βGA) as a self‐assembling food‐derived molecular pair. The resulting carrier‐free nanoparticles (UA‐18βGA) showed synergistic antiparasitic activity, reduced combined toxicity, and host‐protective anti‐inflammatory effects in zebrafish and murine ...
Shenye Qu   +8 more
wiley   +1 more source

Pseudo-Labeling With Large Language Models for Multi-Label Emotion Classification of French Tweets

open access: yesIEEE Access
This study proposes a novel semi-supervised multi-label emotion classification approach for French tweets based on pseudo-labeling. Human subjectivity in emotional expression makes it difficult for a machine to learn.
Usman Malik   +5 more
doaj   +1 more source

Semi-Supervised Classification of Noisy, Gigapixel Histology Images. [PDF]

open access: yesProc IEEE Int Symp Bioinformatics Bioeng, 2020
Pulido JV   +8 more
europepmc   +1 more source

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