Impact of the COVID-19 pandemic on the Andalusian program for early detection of diabetic retinopathy: a population-based study by Reyes Ravé Garcia, Pablo Rodríguez de Vera Gómez, Eduardo Mayoral Sánchez, Manuel Aguilar Diosdado, Manuel Aguilar Diosdado, María Asunción Martínez-Brocca, María Asunción Martínez-Brocca

“…AimsTo analyze the impact of the COVID-19 pandemic on the activity and outcomes of the Andalusian Program for Early Detection of Diabetic Retinopathy (APDR).MethodsA retrospective observational study was conducted during 2018–2023. …”
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Android malware detection via efficient application programming interface call sequences extraction and machine learning classifiers by Tanjie Wang, Yueshen Xu, Xinkui Zhao, Zhiping Jiang, Rui Li

“…To solve these problems, in this study, we propose a novel Android malware detection framework, where we contribute an efficient Application Programming Interface (API) call sequences extraction algorithm and an investigation of different types of classifiers. …”
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Integration of targeted herbicide application technologies into an integrated weed management program for tomato plasticulture production by Ana Claudia Buzanini, Renato Herrig Furlanetto, Arnold Walter Schumann, Nathan Shawn Boyd

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A Post-Processing Framework for Crowd Worker Responses Using Large Language Models by Ryuya Itano, Tatsuki Tamano, Takahiro Koita, Honoka Tanitsu

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Timeseria: An object-oriented time series processing library by Stefano Alberto Russo, Giuliano Taffoni, Luca Bortolussi

“…Timeseria is an object-oriented time series processing library implemented in Python, which aims at making it easier to manipulate time series data and to build statistical and machine learning models on top of it. …”
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An Image Processing Approach to Quality Control of Drop-on-Demand Electrohydrodynamic (EHD) Printing by Yahya Tawhari, Charchit Shukla, Juan Ren

“…The proposed method involves three main stages: (1) image pre-processing, where edge detection techniques such as Canny filtering are applied for printed dot boundary detection; (2) contour detection, which is used to accurately quantify the dot sizes (such as dot perimeter and area); and (3) centroid detection and distance calculation, where the spacing between neighboring dots is quantified as the Euclidean distance of the dot geometric centers. …”
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Studies on Underwater Image Processing Using Artificial Intelligence Technologies by Sugunapriya A, Markkandan S

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Deep Neural Network-Based Sorghum Adulteration Detection in Baijiu Brewing by Shanglin Yang, Yang Lin, Yong Li, Defu Xu, Suyi Zhang, Lihui Peng

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Deep learning model for recognizing fresh and rotten fruits in industrial processes by Carlos Arias, Camilo Baldovino, José Gómez, Brian Restrepo, Sergio Sánchez

“… The detection of fruit condition is essential to ensure quality control in industrial processes. …”
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Deep learning to classify the ripeness of coffee fruit in the mechanized harvesting process by Marco Antonio Zanella, Mikel Barrio-Conde, Jaime Gomez-Gil, Javier Manuel Aguiar-Perez, María Ángeles Pérez-Juárez, Fabio Moreira da Silva

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Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery by Laith A. H. Al-Shimaysawee, Anthony Finn, Delene Weber, Morgan F. Schebella, Russell S. A. Brinkworth

“…This paper introduces a biologically inspired detection algorithm to locate koalas in eucalyptus plantations and evaluates its performance against ten other detection techniques, including both image processing and neural-network-based approaches. …”
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A Hybrid Algorithm for Contour Thinning in Image Processing by Mamatov Narzullo, Niyozmatova Nilufar, Jalelova Malika, Samijonov Abdurashid, Samijonov Boymirzo

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DIAGNOSTIC TOOL FOR AVIAN INFLUENZA USING IMAGE PROCESSING by Mark Eullysis D. Alzaga, Sheila May P. Rebua, Jan Aira A. Teston, Manzour R. Viray

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Multi‐Disease Detection in Retinal Imaging Using VNet with Image Processing Methods for Data Generation by Samad Azimi Abriz, Mansoor Fateh, Fatemeh Jafarinejad, Vahid Abolghasemi

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A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

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Comprehensive Framework for Tuberculosis Detection Using Deep Learning and Image Processing in Whole-Slide Images by Terisara Micaraseth, Shanop Shuangshoti, Kantawatchr Chaiprabha, Natcha Wanpiyarat, Poonchavist Chantranuwatana, Gridsada Phanomchoeng

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Simulink-based Simulation Study of Continuous Wave Electron Paramagnetic Resonance Signal Processing and Detection by CHEN Bo, LIU Quan, MA Lei, CHEN Shunian, JIA Yaqi, ZHU Bin, GUO Junwang

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Visual Detection on Aircraft Wing Icing Process Using a Lightweight Deep Learning Model by Yang Yan, Chao Tang, Jirong Huang, Zhixiong Cen, Zonghong Xie

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Defect Detection in Industrial Soldering Processes Using Machine Learning: A Critical Literature Review by Luca Eisentraut, Johanna Hosch, Maksym Roytenberg, Amelie Benecke, Pascal Penava, Ricardo Buettner

“…However, current research lacks a comprehensive overview that categorizes and analyzes relevant studies based on their specific intervention points within the production process. This literature review aims to examine and evaluate research coverage along three dimensions: intervention points in the process, non-destructive testing methods, and machine learning techniques employed. …”
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Modeling of Ultrasonic Flaw Detection Processes in the Task of Searching and Visualizing Internal Defects in Assemblies and Structures by B. V. Sobol, A. N. Soloviev, P. V. Vasiliev, A. A. Lyapin

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