Results 91 to 100 of about 12,717 (259)
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
Micro-Knowledge Embedding for Zero-shot Classification
Houjun Li +5 more
openaire +1 more source
SPECIAL: Zero-Shot Hyperspectral Image Classification With CLIP
Hyperspectral image (HSI) classification aims to categorize each pixel in an HSI into a specific land cover class, which is crucial for applications such as remote sensing, environmental monitoring, and agriculture. Although deep learning-based HSI classification methods have achieved significant advancements, existing methods still rely on manually ...
Li Pang +5 more
openaire +2 more sources
Flexible Sensors for Robotics Tactile Perception: A Review
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley +1 more source
Zero‐shot animal behaviour classification with vision‐language foundation models
Understanding the behaviour of animals in their natural habitats is critical to ecology and conservation. Camera traps are a powerful tool to collect such data with minimal disturbance. They however produce a very large quantity of images, which can make
Gaspard Dussert +5 more
doaj +1 more source
Cross Kingdom Metabolic Engineering Paradigm Elevating Sustainable Protein Production
ABSTRACT Confronting the dual crisis of escalating global protein demand and unsustainable agriculture necessitates transformative solutions. Here, we pioneer evolutionary insights from maize nitrogen optimization via asparagine synthetase (ASNS) to rewire metabolism in Pichia pastoris.
Yuanyuan Du +4 more
wiley +1 more source
This research presents a comprehensive evaluation of some of the modern computer vision models for grasp type determination in bionic prostheses. The study leverages pretrained models, including CLIP and ResNet, with zero-shot and few-shot learning ...
В. Олійник +1 more
doaj +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Comparative Analysis of NLP-Based Models for Company Classification
The task of company classification is traditionally performed using established standards, such as the Global Industry Classification Standard (GICS). However, these approaches heavily rely on laborious manual efforts by domain experts, resulting in slow,
Maryan Rizinski +5 more
doaj +1 more source
Charting Endocrine Progenitors Across Species and Organs
Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing +21 more
wiley +1 more source

