Results 181 to 190 of about 782,529 (256)

Energy‐Efficient Hardware Implementation of Spiking‐Restricted Boltzmann Machines Using Pseudo‐Synaptic Sampling

open access: yesAdvanced Intelligent Systems, EarlyView.
In this article, an energy‐efficient hardware implementation of spiking‐restricted Boltzmann machines using the pseudo‐synaptic sampling (PS2) method is presented. In the PS2 method, superior area and energy efficiency over previous approaches, such as the random walk method, are demonstrated, achieving a 94.94% reduction in power consumption during on‐
Hyunwoo Kim   +10 more
wiley   +1 more source

A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma Subtypes

open access: yesAdvanced Intelligent Systems, EarlyView.
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

Emergent Dynamic Formation through Optical Interactions in a Robot Swarm

open access: yesAdvanced Intelligent Systems, EarlyView.
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

From Simulation to Reality: Transfer Learning for Automating Pseudo‐Labeling of Real and Infrared Imagery

open access: yesAdvanced Intelligent Systems, EarlyView.
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

Multi‐Diseases Detection with Memristive System on Chip

open access: yesAdvanced Intelligent Systems, EarlyView.
A robust disease detection system, which is capable of the early prevention of acute myocardial infarction and the detection of liver cancer, is implemented on a memristive system‐on‐chip (SoC). A fully integrated SoC is utilized to ensure the system's portability, low latency, high accuracy, and energy efficiency for medical analysis.
Zihan Wang   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy