Results 71 to 80 of about 3,740 (194)
Detecting Changes in Space‐Varying Parameters of Local Poisson Point Processes
Environmetrics, Volume 36, Issue 5, July 2025.ABSTRACT Recent advances in local models for point processes have highlighted the need for flexible methodologies to account for the spatial heterogeneity of external covariates influencing process intensity. In this work, we introduce tessellated spatial regression, a novel framework that extends segmented regression models to spatial point processes,
Nicoletta D'Angelo
wiley +1 more source
Zero watermarking scheme for privacy protection in e-Health care
Automatika, 2023 E-health care is an emerging field where health services and information are delivered and offered over the Internet. So the health information of the patients communicated over the Internet has to protect the privacy of the patients.
Ayesha Shaik, V. Masilamani
doaj +1 more source
IEEE Access, 2020 Change detection with very high resolution (VHR) satellite images is of great application values when evaluating and monitoring land use changes. However, intrinsic complexity of satellite images will introduce more difficulties to change detection tasks.
Ran Jing, Zhaoning Gong, Hongliang Guan
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Superpixel-based Semantic Segmentation Trained by Statistical Process Control
, 2017 Semantic segmentation, like other fields of computer vision, has seen a remarkable performance advance by the use of deep convolution neural networks.
Jeong, Jisoo +3 more
core +1 more source
An Industrial Micro-Defect Diagnosis System via Intelligent Segmentation Region
Sensors, 2019 In the field of machine vision defect detection for a micro workpiece, it is very important to make the neural network realize the integrity of the mask in analyte segmentation regions. In the process of the recognition of small workpieces, fatal defects
Xia Fang, Wang Jie, Tao Feng
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ChemBioChem, Volume 26, Issue 7, April 1, 2025.The biarylitides are fascinating RiPP natural products with small core peptides and diverse peptide crosslinks performed by cytochrome P450 enzymes. Here, we address the discovery and diversity of the biarylitides, methods to analyse these constrained cyclic peptides, the structures of the biarylitide P450 enzymes and address alternate catalytic ...
Leo Padva +6 more
wiley +1 more source
LBP Stereo Matching Algorithm Based on LSC Image Segmentation [PDF]
Jisuanji gongcheng, 2018 In the traditional global stereo matching methods,pixel-based belief propagation has a large amount of computation and a single pixel point can easily cause errors.Therefore,on the basis of the image segmentation processing methods,a Loopy Belief ...
YANG Yan,XU Daoyun
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A deep semantic segmentation-based algorithm to segment crops and weeds in agronomic color images
Information Processing in Agriculture, 2022 In precision agriculture, the accurate segmentation of crops and weeds in agronomic images has always been the center of attention. Many methods have been proposed but still the clean and sharp segmentation of crops and weeds is a challenging issue for ...
Sovi Guillaume Sodjinou +3 more
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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 . Recent advances in machine learning techniques for image classification have led to the development of robust approaches to both object detection and extraction.
A. C. Carrilho, M. Galo
semanticscholar +1 more source
Hyperspectral imagery quality assessment and band reconstruction using the prophet model
CAAI Transactions on Intelligence Technology, Volume 10, Issue 1, Page 47-61, February 2025.Abstract In Hyperspectral Imaging (HSI), the detrimental influence of noise and distortions on data quality is profound, which has severely affected the following‐on analytics and decision‐making such as land mapping. This study presents an innovative framework for assessing HSI band quality and reconstructing the low‐quality bands, based on the ...
Ping Ma +4 more
wiley +1 more source