Results 71 to 80 of about 9,285,371 (201)

SFK: Shape‐ and Function‐Grounded Keypoint Representation for Sequential Manipulation

CAAI Transactions on Intelligence Technology, Volume 11, Issue 5, Page 1396-1412, October 2026.
ABSTRACT Sequential manipulation is the process by which robots perform multiple interdependent steps to accomplish composite tasks, demanding tight integration of perception, planning and execution. Existing methods incorporate explicit features such as category, semantics, 6D pose or affordance to enhance consistency, yet single‐feature ...
Yaxin Liu, Yan Liu, Xinyu Song, Ruiqing Han, Haiyong Liu, Bo Huang, Yufeng Yao, Ming Zhong   +7 more
wiley   +1 more source

Artificial intelligence driven diet‐intestinal microbiota‐host health integration: A four‐dimensional paradigm for advancing host wellness research

iMetaOmics, Volume 3, Issue 3, September 2026.
This graphical abstract presents a novel Diet‐Artificial Intelligence (AI)‐intestinal Microbiota–Host Health paradigm integrating microbiota‐centric pathways and an AI‐driven multi‐omics workflow. Diet shapes gut bacteria that regulate intestinal mucosal integrity, immune signaling, and gut–brain neurotransmitters to influence host health.
Tianle He, Shuobo Zhang, Jiaxin Chen, Xiaoling Zheng, Jixin Zhao, Huifeng Li, Jiani Mao, Ju Luo, Jundan Zheng, Dengjun Ma, Lihong Wang, Junhui Liu, Wen Tian, Shuangming Yang, Chengli Liu, Ke Tian, Zhenguo Yang   +16 more
wiley   +1 more source

Automatic extraction of microorganisms and their habitats from free text using text mining workflows

Journal of Integrative Bioinformatics, 2011
In this paper we illustrate the usage of text mining workflows to automatically extract instances of microorganisms and their habitats from free text; these entries can then be curated and added to different databases.
Kolluru BalaKrishna, Nakjang Sirintra, Hirt Robert P., Wipat Anil, Ananiadou Sophia   +4 more
doaj   +1 more source

Recent Advances in Text Anonymization: A Systematic Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
This survey presents a unified, cross‐domain overview of text anonymization from 2021 to 2025, covering methods from rule‐based to LLM‐based approaches, relevant datasets, benchmarks, and evaluation strategies. It highlights the critical trade‐off between privacy and utility, underscores the importance of standardizing evaluation protocols and metrics,
Marina Litvak, Alípio Jorge
wiley   +1 more source

Automatic Amharic Part of Speech Tagging (AAPOST): A Comparative Approach Using Bidirectional LSTM and Conditional Random Fields (CRF) Methods

, 2020
Part of speech (POS) tagging is an initial task for many natural language applications. POS tagging for Amharic is in its infancy. This study contributes towards the improvement of Amharic POS tagging by experimenting using Deep Learning and Conditional Random Fields (CRF) approaches. Word embedding is integrated into the system to enhance performance.
Birhanie, Worku Kelemework, Butt, Miriam
openaire   +2 more sources

Plant species richness is key for restoring grassland butterfly assemblages

Journal of Applied Ecology, Volume 63, Issue 8, August 2026.
The results indicate that successful restoration of grassland vegetation and butterflies is strongly linked. To fully restore target butterfly assemblages, future grassland restoration should aim to re‐establish and maintain plant species‐rich habitats by implementing high‐quality restoration methods.
Line Sturm, Anita Kirmer, Johannes Kollmann, Vicky M. Temperton, Claudia Buchhart, Philipp Laeseke, Christin J. Laschke, Felix May, Jan Thiele, Sabine Tischew, Alina Twerski, Miriam Wiesmeier, Annika Schmidt   +12 more
wiley   +1 more source

Joint Conditional Random Field Filter for Multi-Object Tracking

, 2011
Object tracking can improve the performance of mobile robot especially in populated dynamic environments. A novel joint conditional random field Filter (JCRFF) based on conditional random field with hierarchical structure is proposed for multi-object ...
Luo Ronghua, Min Huaqing
core   +1 more source

Context based number normalization using skip-chain conditional random fields / [PDF]

, 2019
Verbalizing numeric text tokens is a required task for various speech-related applications, including automatic speech recognition and text-to-speech synthesis. In morphologically rich languages, such conversion involves predicting implicit morphological
Balčiūnas, Linas,
core   +1 more source

Terrain Classification of Polarimetric Synthetic Aperture Radar Images Based on Deep Learning and Conditional Random Field Model

Leida xuebao, 2019
In recent years, Polarimetric Synthetic Aperture Radar (PolSAR) image classification has been investigated extensively. The traditional PolSAR image terrain classification methods result in a weak feature representation. To overcome this limitation, this
HU Tao, LI Weihua, QIN Xianxiang, WANG Peng, YU Wangsheng, LI Jun   +5 more
doaj   +1 more source

From Conditional Random Field (CRF) to Rhetorical Structure Theory(RST): Incorporating Context Information in Sentiment Analysis

, 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, George Marandianos, Stefanos Kollias   +2 more
openaire   +3 more sources