Results 1 to 10 of about 181,536 (234)

SA-ConSinGAN and reservoir computing fusion for accurate bearing fault classification and severity identification using GAF-based techniques [PDF]

open access: yesScientific Reports
In the present study, five reservoir computing models are compared and analyzed for bearing fault classification and severity level identification. Three Gramian Angular Field (GAF) methodologies, such as Gramian Angular Summation Field (GASF), Gramian ...
Anjil Shah   +4 more
doaj   +2 more sources

A Short Video Classification Framework Based on Cross-Modal Fusion

open access: yesSensors, 2023
The explosive growth of online short videos has brought great challenges to the efficient management of video content classification, retrieval, and recommendation.
Nuo Pang   +3 more
doaj   +1 more source

Progress of Materials and Devices for Neuromorphic Vision Sensors

open access: yesNano-Micro Letters, 2022
The latest developments in bio-inspired neuromorphic vision sensors can be summarized in 3 keywords: smaller, faster, and smarter. (1) Smaller: Devices are becoming more compact by integrating previously separated components such as sensors, memory, and ...
Sung Woon Cho   +3 more
doaj   +1 more source

Electrical Impedance Tomography Technical Contributions for Detection and 3D Geometric Localization of Breast Tumors: A Systematic Review

open access: yesMicromachines, 2022
Impedance measuring acquisition systems focused on breast tumor detection, as well as image processing techniques for 3D imaging, are reviewed in this paper in order to define potential opportunity areas for future research.
Juan Carlos Gómez-Cortés   +6 more
doaj   +1 more source

Remote Sensing Based Crop Type Classification Via Deep Transfer Learning

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Machine learning methods using aerial imagery (satellite and unmanned-aerial-vehicles-based imagery) have been extensively used for crop classification. Traditionally, per-pixel-based, object-based, and patch-based methods have been used for classifying ...
Krishna Karthik Gadiraju   +1 more
doaj   +1 more source

A review of the opportunities for spectral‐based technologies in post‐harvest testing of pulse grains

open access: yesLegume Science, 2023
Pulse grains are phenotypically diverse varying in colour, size, shape, and uniformity and have been integrated within many cultures and cuisines for several thousand years.
Linda McDonald, Joe Panozzo
doaj   +1 more source

Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

open access: yesIEEE Access, 2021
The first phase of table recognition is to detect the tabular area in a document. Subsequently, the tabular structures are recognized in the second phase in order to extract information from the respective cells.
Khurram Azeem Hashmi   +5 more
doaj   +1 more source

Developments of Computer Vision and Image Processing: Methodologies and Applications

open access: yesFuture Internet, 2023
The rapid advancement of technology has enabled a vast and ever-growing number of computer applications in real scenarios of our daily life [...]
openaire   +3 more sources

Parallelization of the Honeybee Search Algorithm for Object Tracking

open access: yesApplied Sciences, 2020
Object tracking refers to the relocation of specific objects in consecutive frames of a video sequence. Presently, this visual task is still considered an open research issue, and the computer science community attempted solutions from the standpoint of ...
Oscar E. Perez-Cham   +5 more
doaj   +1 more source

Solar Energy Potential Assessment on Rooftops and Facades in Large Built Environments Based on LiDAR Data, Image Processing, and Cloud Computing. Methodological Background, Application, and Validation in Geneva (Solar Cadaster) [PDF]

open access: yesFrontiers in Built Environment, 2018
The paper presents the core methodology for assessing solar radiation and energy production on building rooftops and vertical facades (still rarely considered) of the inner-city. This integrated tool is based on the use of LiDAR, 2D and 3D cadastral data.
Desthieux, Gilles   +8 more
openaire   +4 more sources

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