Results 241 to 250 of about 509,144 (286)
A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma Subtypes
The mixed convolutional transformer model represents a novel approach for the accurate and rapid diagnosis of glioma subtypes. This model employs advanced, complex layers and functions, establishing its uniqueness and enhancing its ability to deliver precise outcomes in glioma subtype detection.
S. M. Nuruzzaman Nobel+7 more
wiley +1 more source
The role of body rotation in mathematical models of isotropic plastic behaviour
R.N. Dubey
openalex +1 more source
Emergent Dynamic Formation through Optical Interactions in a Robot Swarm
In swarm robotics, it is still challenging to develop a reliable and rigorous engineering methodology to solve real‐world problems. To emergent dynamic circling by robot swarm in a self‐organized manner, an optical interaction method and its model are proposed. Their effectiveness is validated through three experiments.
Xiaoyang Qin+5 more
wiley +1 more source
It is known that biomaterial properties (e.g., shape, chemistry) direct how the body reacts to implanted materials. However, what features cause specific responses is not well known. High‐throughput screening can identify instructive properties, but manual feature segmentation in large brightfield image datasets limits discovery.
Robert Owen+10 more
wiley +1 more source
This study introduces a novel method for labeling real‐world color and infrared images using a synthetically trained system. Applied to flight test imagery, the new labels enhance object detection. The method works without expensive truth systems or camera calibration, enabling predictions on past datasets and addressing the need for high‐quality ...
Jeffrey Choate+6 more
wiley +1 more source
GelLight: Illumination Design, Modeling, and Optimization for Camera‐Based Tactile Sensor
A systematic modeling and optimization method for camera‐based tactile sensor illumination is proposed, which significantly improves the tactile performance and achieves high geometry reconstruction accuracy. The performance is validated by intensive simulation and real‐world experiments.
Jieji Ren+7 more
wiley +1 more source
This study develops a deep learning‐based pipeline named π‐PhenoDrug for cell phenotype‐driven drug activity screening. π‐PhenoDrug integrates cell segmentation, morphological profile construction, and phenotype analysis modules, and it can assess drug effects on living cells in both supervised and unsupervised modes.
Xiao Li+7 more
wiley +1 more source
Uncontrolled Learning: Codesign of Neuromorphic Hardware Topology for Neuromorphic Algorithms
Codesign is used to implement a neuroscience‐inspired machine learning algorithm in all neuromorphic hardware. In this implementation, the hidden memristors cannot be directly accessed, limiting control of the network during training. By leveraging theoretical tools, including memristor circuits dynamics and a closed form expression for the network ...
Frank Barrows+3 more
wiley +1 more source
Deep Q‐Network‐Based Hierarchical Path Planning of a Biped Wall‐Climbing Robot for Window Cleaning
This article presents a biped wall‐cleaning climbing robotic system for the maintenance of multi‐isolated areas on exoskeleton‐structured windows (ESWs). A full coverage cleaning approach is proposed by integrating a deep Q‐network‐based method with the robotic system to address the complete coverage cleaning path planning problem.
Weijian Zhang+3 more
wiley +1 more source