Results 81 to 90 of about 1,093,634 (281)

Automatic Optical Path Alignment Method for Optical Biological Microscope

open access: yesSensors
A high-quality optical path alignment is essential for achieving superior image quality in optical biological microscope (OBM) systems. The traditional automatic alignment methods for OBMs rely heavily on complex masker-detection techniques.
Guojin Peng   +4 more
doaj   +1 more source

Image Segmentation and Classification of Marine Organisms [PDF]

open access: yes, 2018
To automate the arduous task of identifying and classifying images through their domain expertise, pioneers in the field of machine learning and computer vision invented many algorithms and pre-processing techniques.
Vojjila, Krishna Teja
core   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

open access: yesAdvanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu   +8 more
wiley   +1 more source

A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy

open access: yesIEEE Access
Solutions to vision tasks in gastrointestinal endoscopy (GIE) conventionally use image encoders pretrained in a supervised manner with ImageNet-1k as backbones.
Edward Sanderson, Bogdan J. Matuszewski
doaj   +1 more source

Computer vision for real-time orbital operations. Center directors discretionary fund [PDF]

open access: yes
Machine vision research is examined as it relates to the NASA Space Station program and its associated Orbital Maneuvering Vehicle (OMV). Initial operation of OMV for orbital assembly, docking, and servicing are manually controlled from the ground by ...
Brewster, L. L.   +2 more
core   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

Learning Uniform Hyperspherical Centers for Open and Closed Set Recognition

open access: yesIEEE Access
Open-set recognition remains a challenging problem, particularly when traditional closed-set classifiers are unable to generalize to unseen classes. In this paper, we propose a unified framework that leverages hyperspherical embeddings with learnable ...
Hakan Cevikalp, Hasan Serhan Yavuz
doaj   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

open access: yesAdvanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi   +12 more
wiley   +1 more source

In Situ Copper Electroplating Turns Material Extrusion 3D Printers Into Metal–Polymer Hybrid Fabricators

open access: yesAdvanced Materials Technologies, EarlyView.
An in situ electroplating approach for MEX 3D printing is proposed, enabling copper deposition during the fabrication of conductive polymers. The method combines a printer‐integrated plating head, ML‐based g‐code control, and stop‐and‐go printing, achieving near‐bulk copper conductivity and enabling fully embedded, assembly‐free electronic components ...
Gianluca Percoco   +5 more
wiley   +1 more source

Uneven illumination surface defects inspection based on convolutional neural network

open access: yes, 2019
Surface defect inspection based on machine vision is often affected by uneven illumination. In order to improve the inspection rate of surface defects inspection under uneven illumination condition, this paper proposes a method for detecting surface ...
Gao, Wenbin, Wu, Hao, Xu, Xiangrong
core  

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