Results 11 to 20 of about 44,098,970 (263)
, 2014 This paper considers the ontological significance of invisibility in relation to the question ‘what is a digital image?’ Its argument in a nutshell is that the emphasis on visibility comes at the expense of latency and is symptomatic of the style of ...
Rubinstein, Daniel
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Study of image characteristics on digital image correlation error assessment [PDF]
, 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.
Fazzini, Marina +3 more
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Frontiers 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
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Auto Diagnostics of Lung Nodules Using Minimal Characteristics Extraction Technique
Diagnostics, 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
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Contrastive Learning for Graph-Based Vessel Trajectory Similarity Computation
Journal 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
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Mapping Lower Saxony’s salt marshes using temporal metrics of multi-sensor satellite data
International 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
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Der österreichische General von Hoen
, 2022 <u>Source</u>: Europeana <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1653128307.6451.jpg">https://4dcity.org/imgupload/1653128307.6451.jpg</a> <br><u>Original Image URL</u>: <
Junior Professorship for Digital Humanities (Image/Object)
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Frontiers 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
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Twofold dynamic attention guided deep network and noise-aware mechanism for image denoising
Journal 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
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Digital Image Analysis of Actinomycetes Colonies as a Potential Aid for Rapid Taxonomic Identification [PDF]
, 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.
Sonashia Velho-Pereira +1 more
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