The Use of Different Image Recognition Techniques in Food Safety: A Study by Rijwan Khan, Santosh Kumar, Niharika Dhingra, Neha Bhati

“…This article outlines the essential parts of a computer vision system. In order to avoid foodborne disease and ensure food security, fast and effective detection of pathogenic microorganisms is crucial for public safety biomonitoring. …”
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Image Quality Assessments by Leveraging Diverse Visual Tasks by Joonhee Lee, Dongwon Park, Se Young Chun

“…Image quality assessment (IQA) is a fundamental task in computer vision with the goal of accurately predicting the mean opinion score of humans for assessing the quality of images. …”
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Image Processing-Based Spall Object Detection Using Gabor Filter, Texture Analysis, and Adaptive Moment Estimation (Adam) Optimized Logistic Regression Models by Nhat-Duc Hoang

“…This study aims at proposing a computer vision model for automatic recognition of localized spall objects appearing on surfaces of reinforced concrete elements. …”
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Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration by Miguel Tradacete-Ágreda, Carlos Santos-Pérez, Pablo José Hueros-Barrios, Francisco Javier Rodríguez-Sánchez, Rafael Pérez-Seguí, Javier Melero-Deza, Pascual Campoy

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Analisis Perbandingan Algoritma Machine Learning dan Deep Learning untuk Klasifikasi Citra Sistem Isyarat Bahasa Indonesia (SIBI) by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

“…Computer vision membantu pengenalan citra SIBI secara otomatis sehingga memudahkan orang normal berkomunikasi dengan orang tuli atau bisu. …”
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Analytical Analysis of Motion Separability by Marjan Hadian Jazi, Alireza Bab-Hadiashar, Reza Hoseinnezhad

“…Motion segmentation is an important task in computer vision and several practical approaches have already been developed. …”
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Lip print‐based identification using traditional and deep learning by Wardah Farrukh, Dustin van derHaar

“…This article compares traditional and deep learning computer vision methods and how they perform on a common dataset for lip‐based identification. …”
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Computer visual syndrome: a need to overcome in primary health care by Xiomara Vasallo García, Loreta Sánchez Ortiz, Lisandra Sànchez Peñalver, Vismary Valdés Vales, Estela del Sol Liriano, Ana Home Martìnez

“…Results: the workshop system was designed to improve computer vision syndrome for graduates in Optometry and Optics in primary health care. …”
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A guided approach for cross-view geolocalization estimation with land cover semantic segmentation by Nathan A.Z. Xavier, Elcio H. Shiguemori, Marcos R.O.A. Maximo, Mubarak Shah

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Interior design assistant algorithm based on indoor scene analysis by Lu Zhang

“…The scene analysis algorithm in interior design is widely used in computer vision. To achieve superior interior design outcomes, it is essential to accurately identify and locate indoor objects and structures. …”
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Paddy Crop and Weed Discrimination: A Multiple Classifier System Approach by Radhika Kamath, Mamatha Balachandra, Srikanth Prabhu

“…One such technique is computer vision-based automatic weed detection and identification. …”
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An image dataset for surveillance of personal protective equipment adherence in healthcare by Wanzhao Yang, Mary S. Kim, Genevieve J. Sippel, Aaron H. Mun, Kathleen H. McCarthy, Beomseok Park, Aleksandra Sarcevic, Marius George Linguraru, Ivan Marsic, Randall S. Burd

“…To address the challenge of monitoring PPE usage in healthcare, computer vision has been evaluated for tracking adherence. …”
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Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning-Based Image Analysis by J. Jerome Vasanth, S. Naveen Venkatesh, V. Sugumaran, Vetri Selvi Mahamuni

“…Artificial intelligence (AI) has evolved into a powerful tool that has wide-spread application in computer vision such as computer-aided inspection, industrial control systems, and navigation of robots. …”
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An Enhanced Drone Technology for Detecting the Human Object in the Dense Areas Using a Deep Learning Model by Mohamad Reda A. Refaai, Dhruva R. Rinku, I. Thamarai, null S. Meera, Naresh Kumar Sripada, Simon Yishak

“…Meanwhile, growing movement of the deep learning techniques in computer vision offers an interesting perspective into the project’s objective. …”
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A hypothetical comparative evaluation system for arctic indoors by Seyed-Amin Tabatabaeifard, Jean-François Lalonde, Marc Hébert, André Potvin, Claude MH. Demers

“…These results should be useful for researchers and practitioners within building sciences, computer vision, and photobiology, showcasing an out-of-the-box approach for categorizing indoor spaces based on standards and human-environmental qualifications.…”
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Image Quality Assessment Based on Multi-Scale Representation and Shifting Transformer by Geng Fu, Ziyu Wang, Cuijuan Zhang, Zerong Qi, Mingzheng Hu, Shujun Fu, Yunfeng Zhang

“…Recently, transformer-based algorithms have excelled in computer vision, particularly in image classification, surpassing convolutional neural network (CNN) methods. …”
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IMViT: Adjacency Matrix-Based Lightweight Plain Vision Transformer by Qihao Chen, Yunfeng Yan, Xianbo Wang, Jishen Peng

“…Hierarchical vision transformers are a big family for better efficiency in computer vision, but in order to obtain global dependencies, their design is often complex. …”
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SViG: A Similarity-Thresholded Approach for Vision Graph Neural Networks by Ismael Elsharkawi, Hossam Sharara, Ahmed Rafea

“…Image representation in computer vision is a long-standing problem that has a significant impact on any machine learning model performance. …”
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Applications of Artificial Intelligence for Precision Agriculture by Yiannis Ampatzidis

“… Technological advances in computer vision, mechatronics, artificial intelligence and machine learning have enabled the development and implementation of remote sensing technologies for plant/weed/pest/disease identification and management. …”
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Is the Best Fitting Curve Always Unique? by N. Chernov, Q. Huang, H. Ma

“…Fitting straight lines and simple curved objects (circles, ellipses, etc.) to observed data points is a basic task in computer vision and modern statistics (errors-in-variables regression). …”
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