Results 11 to 20 of about 2,234,079 (295)

Autonomous Control Method of Rotor UAVs for Power Inspection With Renewable Energy Based on Swarm Intelligence

open access: yesFrontiers in Energy Research, 2021
With the rapid development of renewable energy, the scale of China’s power grid with renewable energy has become much bigger than ever; as a result, we are facing severe challenges in the inspection and maintenance work of power grids that use renewable ...
Yao Yao   +11 more
doaj   +1 more source

Digital color imaging

open access: yesIEEE Transactions on Image Processing, 1997
This paper surveys current technology and research in the area of digital color imaging. In order to establish the background and lay down terminology, fundamental concepts of color perception and measurement are first presented us-ing vector-space notation and terminology.
Sharma, Gaurav, Trussell, H. Joel
openaire   +3 more sources

Study of image characteristics on digital image correlation error assessment [PDF]

open access: yes, 2009
In this paper, errors related to digital image correlation (DIC) technique applied to measurements of displacements are estimated. This work is based on the generation of synthetic images representative of real speckle patterns.
Dalverny, Olivier   +3 more
core   +3 more sources

Contrastive Learning for Graph-Based Vessel Trajectory Similarity Computation

open access: yesJournal of Marine Science and Engineering, 2023
With the increasing popularity of automatic identification system AIS devices, mining latent vessel motion patterns from AIS data has become a hot topic in water transportation research.
Sizhe Luo, Weiming Zeng, Bowen Sun
doaj   +1 more source

Auto Diagnostics of Lung Nodules Using Minimal Characteristics Extraction Technique

open access: yesDiagnostics, 2016
Computer-aided detection (CAD) systems provide useful tools and an advantageous process to physicians aiming to detect lung nodules. This paper develops a method composed of four processes for lung nodule detection.
Diego M. Peña   +2 more
doaj   +1 more source

Mapping Lower Saxony’s salt marshes using temporal metrics of multi-sensor satellite data

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2022
Salt marshes act as an important natural buffer in terms of coastal protection in the light of the rising sea level. Due to weather events like extreme storms the extent of salt marshes changes. Hence, it is of great importance to regularly monitor these
Kim-Jana Stückemann, Björn Waske
doaj   +1 more source

Digital Image Analysis of Actinomycetes Colonies as a Potential Aid for Rapid Taxonomic Identification [PDF]

open access: yes, 2010
High frequency isolation of actinomycetes poses a challenge for the taxonomists hence simple and rapid identification methods are required. Our work to catalogue biodiversity of actinomycetes of Goa yielded several distinct morphotypes.
Nandkumar M. Kamat   +1 more
core   +2 more sources

A Novel Key Features Screening Method Based on Extreme Learning Machine for Alzheimer’s Disease Study

open access: yesFrontiers in Aging Neuroscience, 2022
The Extreme Learning Machine (ELM) is a simple and efficient Single Hidden Layer Feedforward Neural Network(SLFN) algorithm. In recent years, it has been gradually used in the study of Alzheimer’s disease (AD). When using ELM to diagnose AD based on high-
Jia Lu, Weiming Zeng, Lu Zhang, Yuhu Shi
doaj   +1 more source

Digital spiral imaging

open access: yesOptics Express, 2005
A major application of optics is imaging all types of structural, physical, chemical and biological features of matter. Techniques based on most known properties of light have been developed over the years to remotely acquire information about such features.
Torner Sabata, Lluís   +2 more
openaire   +4 more sources

Twofold dynamic attention guided deep network and noise-aware mechanism for image denoising

open access: yesJournal of King Saud University: Computer and Information Sciences, 2023
Convolutional neural networks are given extensive attention towards noise removal due to their good performance over traditional denoising algorithms. With shallow conventional neural networks, the feature extraction ability is not profound.
Zihao Chen   +5 more
doaj   +1 more source

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