Results 221 to 230 of about 446,831 (348)

Syntactic denoising and multi-strategy auxiliary enhancement for aspect-based sentiment analysis. [PDF]

PLoS One
Liu L, Li D, Yue C, Gao X, Zhu Y.
europepmc   +1 more source

Interactive Prompt‐Guided Robotic Grasping for Arbitrary Objects Based on Promptable Segment Anything Model and Force‐Closure Analysis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu, Yaxin Liu, Ruiqing Han, Kai Zheng, Yufeng Yao, Ming Zhong   +5 more
wiley   +1 more source

Advancing Aspect-Based Sentiment Analysis through Deep Learning Models

Aspect-based sentiment analysis predicts sentiment polarity with fine granularity. While graph convolutional networks (GCNs) are widely utilized for sentimental feature extraction, their naive application for syntactic feature extraction can compromise ...
Li, Chen, Tang, Huidong, Cheng, Debo, Guo, Xiujing, Morimoto, Yasuhiko, Zhang, Jinli   +5 more
core   +1 more source

Text-Image Gated Fusion Mechanism for Multimodal Aspect-based Sentiment Analysis

Multimodal aspect-based sentiment analysis is an emerging task in multimodal sentiment analysis field,which aims to identify the sentiment of each given aspect in text and image.Although recent research on multimodal sentiment analysis has made ...
ZHANG Tianzhi, ZHOU Gang, LIU Hongbo, LIU Shuo, CHEN Jing
core   +1 more source

KurdABSA: Kurdish aspect-based sentiment analysis dataset curation using few-shot learning. [PDF]

Data Brief
San Ahmed RAM, Saeed SA.
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

TASCI: transformers for aspect-based sentiment analysis with contextual intent integration. [PDF]

PeerJ Comput Sci
Chaudhry HN, Kulsoom F, Ullah Khan Z, Aman M, Khan SU, Albanyan A.   +5 more
europepmc   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

Contrastive Learning Pre-Training and Quantum Theory for Cross-Lingual Aspect-Based Sentiment Analysis. [PDF]

Entropy (Basel)
Li X, Zhang K.
europepmc   +1 more source

Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping

Advanced Intelligent Systems, EarlyView.
This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler, Mohammadali Rashidioun, Nicholas Sahu, Raaid Kabir, Ayodeji Aderibigbe, Oladoyin Kolawole   +5 more
wiley   +1 more source