Results 51 to 60 of about 26,498 (203)
Real Time Video Microscopy for the Fused Deposition Method [PDF]
, 1998 Fused deposition is a layered manufacturing technology, which is being investigated for fabrication of functional parts. Defects and voids in the build process affect the quality andlevel of accuracy of components.
Bossett, Evan +8 more
core +1 more source
Miniaturized Magnetic Tip Design for Endoluminal Vine Robot Navigation
Advanced Robotics Research, EarlyView.A magnetic tip mount is designed for a miniaturized 7 mm soft‐growing vine robot to enable wireless magnetic steering and onboard imaging, while preserving a 3 mm working channel. The internal–external ring magnets design balances magnetic attachment with low eversion pressure. Experiments demonstrate ±90° steering, 34 mm bending radius, and successful
Andrea Yanez Trujillo +4 more
wiley +1 more source
Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
Advanced Science, EarlyView.ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 more
wiley +1 more source
Automatic Road Extraction from Remote Sensing Images Based on Rectangle Marked Point Process
Canadian Journal of Remote Sensing, 2021 Aiming at solving inaccurate and incomplete extraction of road in remote sensing images, this paper proposes an automatic extraction algorithm based on Rectangle Marked Point Process (RMPP).
You Wu, Quanhua Zhao, Yu Li, Yiding Wang
doaj +1 more source
Challenges in Partially-Automated Roadway Feature Mapping Using Mobile Laser Scanning and Vehicle Trajectory Data [PDF]
, 2019 Connected vehicle and driver's assistance applications are greatly facilitated by Enhanced Digital Maps (EDMs) that represent roadway features (e.g., lane edges or centerlines, stop bars).
Barth, Matthew +5 more
core +1 more source
Advanced Science, EarlyView.This manuscript presents the WDMS platform, an AI‐assisted, self‐powered wearable dual‐mode sensor for tele‐neurology. It integrates a contact–separation TENG insole with stretchable polyurethane optical‐fiber strain sensors to synchronously track plantar pressure and lower‐limb muscle deformation.
Tianliang Li +12 more
wiley +1 more source
Topology-Aware Road Network Extraction via Multi-Supervised Generative Adversarial Networks
Remote Sensing, 2019 Road network extraction from remote sensing images has played an important role in various areas. However, due to complex imaging conditions and terrain factors, such as occlusion and shades, it is very challenging to extract road networks with complete ...
Yang Zhang +5 more
doaj +1 more source
AUTOMATIC CENTERLINE EXTRACTION OF COVERD ROADS BY SURROUNDING OBJECTS FROM HIGH RESOLUTION SATELLITE IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 This paper presents an automatic method to extract road centerline networks from high and very high resolution satellite images. The present paper addresses the automated extraction roads covered with multiple natural and artificial objects such as trees,
H. Kamangir, M. Momeni, M. Satari
doaj +1 more source
Advanced Intelligent Systems, EarlyView.In this article, we develop bespoke resins for stereolithography 3D‐printing of soft‐robotic grippers that are controlled remotely by electrothermal stimulus near ambient temperatures. Turning on the electrical control, each finger can be actuated separately.
Kalyan Ghosh +4 more
wiley +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Advanced Intelligent Systems, EarlyView.A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source