Results 151 to 160 of about 217,546 (313)
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
Analysis of biases in automatic white balance datasets and methods
Illuminant distribution and image content distribution in single‐illuminant datasets for Automatic White Balance. Abstract Annotated datasets for automatic white balance (AWB) are used for the evaluation and, when necessary, the training, of AWB methods.
Marco Buzzelli+5 more
wiley +1 more source
On decoding bit error probability for binary convolutional codes [PDF]
Rolf Johannesson+2 more
openalex +1 more source
This research presents a machine learning approach integrating Berkeley short‐channel IGFET model‐common multigate models with an error‐correction neural network to expedite accurate compact model generation for semiconductor devices. Utilizing a hypernetwork, the method eliminates time‐consuming and laborsome parameter tuning and allows simultaneous ...
Seungjoon Eom+5 more
wiley +1 more source
Face image de‐identification by feature space adversarial perturbation
Summary Privacy leakage in images attracts increasing concerns these days, as photos uploaded to large social platforms are usually not processed by proper privacy protection mechanisms. Moreover, with advanced artificial intelligence (AI) tools such as deep neural network (DNN), an adversary can detect people's identities and collect other sensitive ...
Hanyu Xue+4 more
wiley +1 more source
Iterative multiuser detection for convolutionally coded asynchronous DS-CDMA [PDF]
Matthew C. Valenti, B.D. Woener
openalex +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
Novel traffic congestion detection algorithms for smart city applications
Summary Traffic congestion detection (TCD) techniques are becoming a critical component of traffic management systems. They can be considered a pre‐step to address traffic jam problems, providing useful input for traffic management systems to predict and avoid traffic congestions' unwanted effects.
Mohammad Bawaneh, Vilmos Simon
wiley +1 more source