Results 221 to 230 of about 1,750,538 (276)

Text classification algorithm of tourist attractions subcategories with modified TF-IDF and Word2Vec. [PDF]

PLoS One
Xiao L, Li Q, Ma Q, Shen J, Yang Y, Li D.   +5 more
europepmc   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

CoGraphNet for enhanced text classification using word-sentence heterogeneous graph representations and improved interpretability. [PDF]

Sci Rep
Li P, Fu X, Chen J, Hu J.
europepmc   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

One size fits all: Enhanced zero-shot text classification for patient listening on social media. [PDF]

Front Artif Intell
Matoshi V, De Vuono MC, Gaspari R, Kröll M, Jantscher M, Nicolardi SL, Mazzola G, Rauch M, Sabol V, Salhofer E, Mariani R.   +10 more
europepmc   +1 more source

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

Advanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang, J. An, X. Zheng, D. Wang, S. Wang, X. Wang, P. Zhu, J. Pei, S. Li, J. Paripurana, Y. Han, Z. Tang, X. Gan, Q. He, X. Ma   +14 more
wiley   +1 more source

Research of multi-label text classification based on label attention and correlation networks. [PDF]

PLoS One
Yuan L, Xu X, Sun P, Yu HP, Wei YZ, Zhou JJ.   +5 more
europepmc   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

From outputs to insights: a survey of rationalization approaches for explainable text classification. [PDF]

Front Artif Intell
Mendez Guzman E, Schlegel V, Batista-Navarro R.   +2 more
europepmc   +1 more source

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Text-frame classification

2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS), 2015
Text-frame classification for video is important prior to text detection and recognition to ensure that the text detection and recognition process is being conducted only for frames that consist of text. Otherwise, detecting and recognizing text on non-text frames will lead to false positive where non-text objects may be mistakenly classified as text ...
Muhamad Jaliluddin Mazlan, Zaidah Ibrahim, Zolidah Kasiran   +2 more
openaire   +1 more source