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Arthritic hand-finger movement similarity measurements: Tolerance near set approach
(Hindawi Publishing Corporation, 2011)
The problem considered in this paper is how to measure the degree of resemblance between nonarthritic and arthritic hand movements during rehabilitation exercise. The solution to this problem stems from recent work on a ...
Cryptographic Techniques for Data Privacy in Digital Forensics
(IEEE, 2023-12-15)
The acquisition and analysis of data in digital forensics raise different data privacy challenges. Many existing works on digital forensic readiness discuss what information should be stored and how to collect relevant ...
An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture
(PLOS, 2020-12-17)
A lack of sufficient training data, both in terms of variety and quantity, is often the bottleneck in the development of machine learning (ML) applications in any domain. For agricultural applications, ML-based models ...
A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images
(Elsevier B.V., 2023-09-14)
Hyperspectral imaging (HSI) is a non-destructive and contactless technology that provides valuable information about the structure and composition of an object. It has the ability to capture detailed information about the ...
Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification
(2022-05-11)
The development of state-of-the-art convolutional neural networks (CNN) has allowed researchers to perform plant classification tasks previously thought impossible and rely on human judgment. Researchers often develop ...
Measuring the nearness of layered flow graphs: Application to Content Based Image Retrieval
(IOS Press, 2016-03-01)
Rough set based flow graphs represent the flow of information for a given data set where
branches of these could be constructed as decision rules. However, in the recent years, the
concept of flow graphs has been applied ...
Perception-based image classification: Framework for perception-based cybernetics
(Emerald Insight, 2010-08-24)
Purpose: The purpose of this paper is to present near set theory using the perceptual indiscernibility and tolerance relations, to demonstrate the practical application of near set theory to the image correspondence problem, ...
A Descriptive Tolerance Nearness Measure for Performing Graph Comparison
(IOS Press, 2018-11-03)
This article proposes the tolerance nearness measure (TNM) as a computationally reduced alternative to the graph edit distance (GED) for performing graph comparisons. The TNM is defined within the context of near set theory, ...
Fusarium head blight detection, spikelet estimation, and severity assessment in wheat using 3D convolutional neural networks
(Canadian Science Publishing, 2024-04-10)
Fusarium head blight (FHB) is one of the most significant diseases affecting wheat and other small-grain cereals worldwide. Developing FHB-resistant cultivars is critical but requires field and greenhouse disease assessment, ...
3D Convolutional Neural Networks for Solving Complex Digital Agriculture and Medical Imaging Problems
(University of Winnipe, 2022-06)
3D signals have become widely popular in view of the advantage they provide via 3D representations of data by employing a third spatial or temporal dimension to extend 2D signals. Predominantly, 3D signals contain details ...