Results 71 to 80 of about 14,533,057 (306)
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Includes bibliographical references and index."The chapters in this book represent the theme of "bridges" - bridging research approaches and directions across languages, methodologies and disciplines.
Vogel Irene
core
The investment decision analysis of international megaprojects is a major area of interest. The choice of interna tional megaprojects usually depends on the multi-discipline knowledge from experts.
Xiaomei Mi, Huchang Liao, Xiao-Jun Zeng
doaj +1 more source
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li +5 more
wiley +1 more source
StackingNet: Collective Inference Across Independent AI Foundation Models
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li +4 more
wiley +1 more source
A neural perceptron framework for tackling intuitionistic fuzzy linguistic MAGDM complexities [PDF]
To introduce the Linguistic Intuitionistic Fuzzy Artificial Neural Network, a sophisticated and innovative neural network-based framework for handling Multi-Attribute Group Decision-Making (MAGDM) problems, which builds on the fundamental work of ...
A Harishree, John Robinson P
doaj +1 more source
Deep Learning Prediction of O‐Glycopeptide Tandem Mass Spectra Enhances O‐Glycoproteomics
DeepGPO integrates Transformer and graph neural networks with tailored training strategies, including data augmentation, loss re‐weighting, and pre‐training, to achieve high‐quality O‐glycopeptide MS/MS spectra prediction. The predicted MS/MS spectra are used to localize O‐glycosylation sites from HCD MS/MS data, enhancing O‐glycoproteomics analysis ...
Yu Zong, Yuxin Wang, Liang Qiao
wiley +1 more source
Re-examining cross-linguistic influence in the bilingual acquisition of wh-questions
Many recent studies suggest that bilingual children differentiate between their two languages early on (Genesee, 1989; Meisel, 1989; De Houwer, 1990; Genesee, Nicoladis & Paradis, 1995; cited by Yip & Matthews, 2000).
Tieu, Lyn (R19168)
core

