Results 81 to 90 of about 17,118 (185)
Strategies in Global Ancestry and Local Ancestry Inference
Current Protocols, Volume 6, Issue 2, February 2026.Abstract Genetic ancestry inference has become essential in population and medical genetics, especially for studies of admixed populations. Accurate determination of both global ancestry (GA) proportions and local ancestry (LA) segmental origins requires careful selection of computational methods and reference panels.
Bilcag Akgun, Farid Rajabli
wiley +1 more source
Accelerate the Highly Efficient Development of mRNA Vaccines Through Advanced Computational Methods
MedComm, Volume 7, Issue 2, February 2026.This review explores the recent advancements in applying computational methods to optimize mRNA vaccines, with a primary focus on improvements in sequence design and delivery systems. ABSTRACT mRNA medicine is an emerging therapeutic approach that utilizes messenger RNA to synthesize functional proteins directly within target cells.
Ruichu Gu +5 more
wiley +1 more source
CRF combined with ShapeBM shape priors for image labeling
Dianxin kexue, 2017 Conditional random field (CRF) is a powerful model for image labeling,it is particularly well-suited to model local interactions among adjacent regions (e.g.superpixels).However,CRF doesn't consider the global constraint of objects.The overall shape of ...
Hao WANG +3 more
doaj +2 more sources
A Conditional Random Field Approach to Unsupervised Texture Image Segmentation
EURASIP Journal on Advances in Signal Processing, 2010 An unsupervised multiresolution conditional random field (CRF) approach to texture segmentation problems is introduced. This approach involves local and long-range information in the CRF neighbourhood to determine the classes of image blocks.
Li Chang-Tsun
doaj
Sign Language Recognition with the Kinect Sensor Based on Conditional Random Fields
Sensors, 2014 Sign language is a visual language used by deaf people. One difficulty of sign language recognition is that sign instances of vary in both motion and shape in three-dimensional (3D) space. In this research, we use 3D depth information from hand motions,
Hee-Deok Yang
doaj +1 more source
, 2017 This paper investigates a method based on Conditional Random Fields (CRFs) to incorporate sentence structure (syntax and semantics) and context information to identify sentiments of sentences. It also demonstrates the usefulness of the Rhetorical Structure Theory (RST) taking into consideration the discourse role of text segments.
Aggeliki Vlachostergiou +2 more
openaire +1 more source
The Power of Modality: Improving Polyp Segmentation With Multimodal Information
IET Image Processing, Volume 20, Issue 1, January/December 2026.This paper introduces a novel multimodal diffusion framework that enhances polyp segmentation by integrating depth maps, edge features, and semantic text prompts to overcome the limitations of single‐modality methods. The proposed model, TrustM Polyp, utilizes a trust‐aware fusion mechanism to dynamically weigh each modality, achieving state‐of‐the‐art
Fang Wang +4 more
wiley +1 more source
Frontiers in PhysicsChain information management system is widely used, providing convenience for the operation and management of enterprises. However, the problem of abnormal network traffic becomes increasingly prominent currently.
Chao Liu, Chunxiang Liu, Changrong Liu
doaj +1 more source
A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition
Sensors, 2020 Human activity recognition has become an important research topic within the field of pervasive computing, ambient assistive living (AAL), robotics, health-care monitoring, and many more.
Keshav Thapa +3 more
doaj +1 more source
Scene Graph Generation via Conditional Random Fields
, 2018 Despite the great success object detection and segmentation models have achieved in recognizing individual objects in images, performance on cognitive tasks such as image caption, semantic image retrieval, and visual QA is far from satisfactory.
Cong, Weilin +2 more
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