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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, ...
Descriptive Topological Spaces for Performing Visual Search
(Springer, 2019-02-02)
This article presents an approach to performing the task of visual search in the context of descriptive topological spaces. The presented algorithm forms the basis of a descriptive visual search system (DVSS) that is based ...
Neighbourhood-based vision systems
(Taylor and Francis, 2011)
The problem presented in this paper is how to find similarities between digital images useful in design cybernetic vision systems. The solution to this problem stems from a neighbourhood based vision system. A neighbourhood ...
Multimedia Forensics: Preserving Video Integrity with Blockchain
(IEEE, 2024)
This paper addresses some of the challenges of video forgery detection in multimedia forensics. It presents a solution that enhances video verification by utilizing the non-alterable features of blockchain technology and ...
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 ...
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 ...
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 ...
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 ...