Results 31 to 40 of about 1,992 (180)

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie   +10 more
wiley   +1 more source

Barcode Location in Financial Statement System Based on the Partial Differential Equation Image Recognition Algorithm

open access: yesAdvances in Mathematical Physics, 2021
Financial statements are the basis of financial analysis. Most of them are still using traditional financial statement software, and financial data cannot achieve better information sharing.
Jinghua Ning, Song Yu
doaj   +1 more source

A Robust Automatic Method to Extract Building Facade Maps from 3D Point Cloud Data

open access: yesRemote Sensing, 2022
Extracting facade maps from 3D point clouds is a fast and economical way to describe a building’s surface structure. Existing methods lack efficiency, robustness, and accuracy, and depend on many additional features such as point cloud reflectivity and ...
Bing Yu   +8 more
doaj   +1 more source

Laser‐Based In Situ Diagnostics of Temperature and Material‐Growth Dynamics in Photothermal Laser Nanoprinting of ZnO

open access: yesLaser &Photonics Reviews, EarlyView.
This work elucidates the previously unknown thermal dynamics during sub‐micrometer photothermal laser printing of zinc oxide using a non‐invasive transmission‐based in situ measurement. The elevated temperatures are shown to be highly localized around the laser focal spot, reaching average temperature increases of about 113 K per mW of laser power ...
Steven Kraus   +4 more
wiley   +1 more source

Universal Comparison Methodology for Hough Transform Approaches

open access: yesMathematics
The Hough transform (HT) is widely used in computer vision, tomography, and neural networks. Numerous algorithms for HT computation have been proposed, making their systematic comparison essential.
Danil Kazimirov   +6 more
doaj   +1 more source

Dynamics and thermodynamics of the fast and slow Madden–Julian Oscillation

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The results of this study highlight the MJO as a complex phenomenon, the behavior of which is driven by an interplay of thermodynamic and dynamic processes. The MJO's distinct speeds are controlled by different mechanisms: slow MJOs propagate eastward primarily via horizontal moisture advection, fast MJOs by vertical moisture advection.
Víctor C. Mayta   +3 more
wiley   +1 more source

Generalizing the Brady-Yong Algorithm: Efficient Fast Hough Transform for Arbitrary Image Sizes

open access: yesIEEE Access
The Hough (discrete Radon) transform (HT/DRT) is a digital image processing tool that has become indispensable in many application areas, ranging from general image processing to neural networks and X-ray computed tomography. The utilization of the HT in
Danil D. Kazimirov   +5 more
doaj   +1 more source

Laser Spot Tracking Based on Modified Circular Hough Transform and Motion Pattern Analysis

open access: yesSensors, 2014
Laser pointers are one of the most widely used interactive and pointing devices in different human-computer interaction systems. Existing approaches to vision-based laser spot tracking are designed for controlled indoor environments with the main ...
Damir Krstinić   +2 more
doaj   +1 more source

YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry

open access: yesHigh Voltage, EarlyView.
ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao   +7 more
wiley   +1 more source

Discovering biclusters in gene expression data based on high-dimensional linear geometries

open access: yesBMC Bioinformatics, 2008
Background In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classification and motif identification.
Liew Alan, Gan Xiangchao, Yan Hong
doaj   +1 more source

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