Results 91 to 100 of about 31,930 (259)
Enhancing ReliefF for multi-label text classification via high-order label correlation
ReliefF is a widely used feature selection algorithm due to its effectiveness in high-dimensional feature spaces and its non-parametric nature. However, existing ReliefF-based approaches often rely on the similarity between the label sets of two ...
Farica Perdana Putri +3 more
doaj +1 more source
Multi-label Patent Classification Based on Text and Historical Data [PDF]
Patent classification,which is used to assign multiple international patent classification(IPC) codes to a given paten,is a very important task int the field of patent data mining.In recent years,many studies on this task focus on mining patent text to ...
XU Xuejie, WANG Baohui
doaj +1 more source
Origami‐Inspired Structural Design for Aquatic‐Terrestrial Amphibious Robots
This work presents a lightweight amphibious origami robot actuated by a single shape memory alloy wire. A rigid foldable origami structure with displacement amplification enables efficient terrestrial crawling and aquatic swimming. The addition of fan‐shaped units allows controllable turning in both environments.
Weiqi Liu +5 more
wiley +1 more source
Digital transformation refers to an organization’s use of digital technology to improve its products, services, and operations, aligning them with evolving business requirements.
Muhammad Arslan, Christophe Cruz
doaj +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
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
Hierarchical multi-instance multi-label learning for Chinese patent text classification
To further enhance the accuracy of the Chinese patent classification, this paper proposes a model, based on the patent structure and takes the patent claim as subjects, with multi-instance multi-label learning as the main method.
Yunduo Liu +6 more
doaj +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
This review highlights recent advances in material extrusion 3D printing of self‐healing polymers, focusing on the interplay between material chemistry, rheology, hardware customization, and process optimization. Filament‐ and ink‐based extrusion strategies, multimaterial architectures, and postprocessing approaches are discussed for applications in ...
Antonio Pavone +2 more
wiley +1 more source
Rotating magnetic fields (RMFs) are widely used for microrobot propulsion and control. We show that RMF generation with permanent magnets is mechanically feasible for many limb and intracranial applications but becomes constrained for thoracic targets.
Tuan‐Anh Le +4 more
wiley +1 more source

