Fast Processing of Massive Hyperspectral Image Anomaly Detection Based on Cloud-Edge Collaboration by Yunchang Wang, Jin Sun, Yang Xu, Zhihui Wei, Shangdong Zheng, Zebin Wu

“…With the improvement of hyperspectral image resolution, existing anomaly detection algorithms find it challenging to quickly process large volumes of hyperspectral data while fully exploiting spectral information. …”
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An Integer Programming Approach Reinforced by a Message-passing Procedure for Detecting Dense Attributed Subgraphs by Arman Ferdowsi

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MultiGLICE: Combining Graph Neural Networks and Program Slicing for Multiclass Software Vulnerability Detection by Wesley de Kraker, Harald Vranken, Arjen Hommersom

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Early Perspectives on the Planned Brazilian Program to Address Ship-Sourced Pollution by Daniel Constantino Zacharias, Angelo Teixeira Lemos

“…This paper does NOT represent an official communication of the program, nor its methodologies and developments.…”
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Organized Colorectal Cancer Screening Programs in Switzerland – Quo Vadis? by Bianca Albers, Reto Auer, Reto Auer, Kevin Selby, Lauren Clack, Lauren Clack

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Detection and classification of hazelnut fruit by using image processing techniques and clustering methods by Serdar Solak, Umut Altınışık

Subjects: “…image processing…”
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Detection of external defects on potatoes by hyperspectral imaging technology and image processing method by Su Wenhao, Liu Guishan, He Jianguo, Wang Songlei, He Xiaoguang, Wang Wei, Wu Longguo

“…The traditional classification method has low efficiency and poor objectivity, costs big labor intensity, and is difficult to identify shortcomings through it.In order to realize the accurate and fast classification of potatoes in the process of actual processing, various potatoes with external defects were detected in spectral region of 400 - 1 000 nm using hyperspectral image technology, and an online nondestructive testing method was established by principal component analysis of characteristic wavelengths and image subtraction algorithm.Six defective potato types (mechanical damage, hole, scab, surface bruise, sprout, green skin, normal) and one qualified potato type were used as the research objects in this study, and their hyperspectral images were obtained, respectively. …”
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Enhanced Image Processing and Fuzzy Logic Approach for Optimizing Driver Drowsiness Detection by Wasin AlKishri, Abdallah Abualkishik, Mahmood Al-Bahri

“…This study aims to design a nonintrusive real-time drowsiness system based on image processing and fuzzy logic techniques. It is an enhanced approach for Viola–Jones to examine different visual signs to detect the driver's drowsiness level. …”
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Detection of morphine and data processing using surface plasmon resonance imaging sensor by Sun Jianuo, Ke Haokun, Wang Jinghan, Du Xianchao, Hao Hongxia, Zhou Hong

“…With a limit detection of 6.57 ng·mL−1, the method and mathematical models can provide robust support for SPRi sensors used in further environmental detection, such as the epidemiological study of sewage.…”
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Detecting ADHD through natural language processing and stylometric analysis of adolescent narratives by Juan Barrios, Elena Poznyak, Jessica Lee Samson, Halima Rafi, Simon Gabay, Florian Cafiero, Martin Debbané, Martin Debbané

“…This study explores, for the first time, the potential of Natural Language Processing (NLP) and stylometry to identify linguistic markers within Self-Defining Memories (SDMs) of adolescents with ADHD and to evaluate their utility in detecting the disorder. …”
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Anomaly Detection in Nuclear Power Production Based on Neural Normal Stochastic Process by Linyu Liu, Shiqiao Liu, Shuan He, Kui Xu, Yang Lan, Huajian Fang

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Integration of Convolutional Neural Network and Image Processing for Pulp Fibril Detection and Measurement by Tanachot Chirakitsakul, Pakaket Wattuya, Phichit Somboon, Panthira Jansakra, Chakrit Watcharopas

“…This study proposes a novel method that integrates deep learning with image processing techniques to automate fibril detection and fibrillation index computation. …”
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Rail squat detection using hybrid processing of axle box acceleration measurements by Reza Naseri, Brennan L. Gedney, Hossein Asgari, Dimitrios C. Rizos

Subjects: “…Squat detection…”
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Effects of Hybridizing the U-Net Neural Network in Traffic Lane Detection Process by Aron Csato, Florin Mariasiu

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Reparation of lung tissue in newly detected pulmonary tuberculosis as genetically determined process by K. Yu. Samsonov, A. V. Mordyk, A. R. Аroyan, T. L. Batischeva, O. G. Ivanova

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Sensitivity of the inferior frontal gyrus to morphological processing through the detection of category violation by Jeahong Kim, Kichun Nam

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An image processing technique for optimizing industrial defect detection using dehazing algorithms. by Xuanyi Zhao, Xiaohan Dou, Gengpei Zhang

“…This study provides a novel technical approach for industrial defect detection in complex environments and offers valuable references for image processing and object detection tasks in other fields.…”
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Effect of Pooling and Freeze-Thaw Processes on the PRRSV RNA Detection in TOSc Samples by Peng Li, Onyekachukwu H. Osemeke, Thinh Tran Pham Tien, Ching-Yang Wang, Angie Supple, Marcelo N. Almeida, Daniel C. L. Linhares

“…Similarly, the freeze-thaw process should be minimized during TOSc sample handling.…”
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Detection of weeds in vegetables using image classification neural networks and image processing by Huiping Jin, Kang Han, Kang Han, Hongting Xia, Bo Xu, Xiaojun Jin

Subjects: “…weed detection…”
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Detecting Keratoconus by Using SVM and Decision Tree Classifiers with the Aid of Image Processing by Mosa et al.

“…This is done by using image processing techniques and pattern classification methods. …”
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