Spatial analysis of vitality indicators with emphasis on urban roads in Mashhad metropolis by Ahmad hajarian

“…SPSS and multi-criteria decision-making methods such as MEREC and COCOSO and the structural equation method (Smart PLS) have been used to analyze data and information. …”
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Bearing Fault Diagnosis under Transient Conditions: Using Variational Mode Decomposition and the Symmetrized Dot Pattern-Based Convolutional Neural Network Model by Jide Jia, Jianmin Mei, Chuang Sun, Fengjuan Yang

“…An effective bearing fault diagnosis method for gearbox applications under variable operating conditions is proposed, utilizing variational mode decomposition (VMD) for feature extraction, symmetrized dot pattern (SDP) for visual representation, and convolutional neural network (CNN) for deep feature extraction and classification. …”
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Primary retinotomy in the surgical treatment of complicated rhegmatogenous retinal detachment with severe proliferative vitreoretinopathy by D.O. Shkvorchenko, B.E. Malyugin, A.Yu. Kornienko, E.S. Khrisanfova, O.B. Klepinina

“…Purpose. To develop a method of surgical treatment of rhegmatogenous retinal detachment with severe proliferative retinopathy (stage C) using primary circumferential retinotomy, short-term perfluorocarbon liquid (PFCL) endotamponade and deferred laser endophotocoagulation in a reduced volume. …”
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Selection of Interspecific Peanut Arachis hypogaea L. Genotypes for Thrips Resistance Using Multivariate Analysis by Melina Zacarelli Pirotta, Marcos Doniseti Michelotto, Ignácio José de Godoy, Claudenir Facincani Franco, Jardel da Silva Souza, Sandra Helena Unêda-Trevisoli

“…The multivariate techniques applied are PCA and hierarchical cluster analysis using Euclidean distance and Ward’s method, and the nonhierarchical K-means method. PCA identifies two principal components explaining 78.39% of the variance, focusing on pod and grain yield, number of pods and grains, number of thrips, and visual symptom scores. …”
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Video-Based Respiratory Rate Estimation for Infants in the NICU by Soodeh Ahani, Nikoo Niknafs, Pascal M. Lavoie, Liisa Holsti, Guy A. Dumont

“…The Bland-Altman analysis of the proposed algorithm shows higher agreement between the estimated values via the proposed method and visually counted RR than the agreement between the RR obtained from the impedance sensors and reference RR, and agreement between a former EVM-based method and reference RR values.Conclusion: Our algorithm shows promising results for RR estimation in a real-life NICU environment under various conditions that can confound the estimation.Clinical impact: We present a robust algorithm for non-contact neonatal respiratory rate monitoring, capable of performing well under various environmental lighting conditions in NICU, even when the infant is clothed or covered.…”
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Explainable artificial intelligence with fusion-based transfer learning on adverse weather conditions detection using complex data for autonomous vehicles by Khaled Tarmissi, Hanan Abdullah Mengash, Noha Negm, Yahia Said, Ali M. Al-Sharafi

“…The effectiveness of vehicle detection has been measured as a crucial stage in intelligent visual surveillance or traffic monitoring. After developing driver assistance and AV methods, adversarial weather conditions have become an essential problem. …”
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Investigating pea (Pisum sativum L.) flowering with high throughput field phenotyping and object detection by Corina Oppliger, Radek Zenkl, Achim Walter, Beat Keller

“…To observe flowering dynamics under field conditions, visual ratings have been a standard method for decades. …”
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Evaluation of Translation Rate Through L-azidohomoalanine (AHA) Incorporation and Subsequent Alkyne Fluorophore–Mediated Click Chemistry in Yeast by Mainak Jha, Koyeli Mapa

“…Accurate measurement of protein translation rates is crucial for understanding cellular processes and disease mechanisms. However, existing methods for quantifying translation rates in yeast cells are limited. …”
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Image–Text (IT)-Prompt: Prompt-Based Learning Framework Empowered by the Cluster-Based Nearest Class Mean (C-NCM) for Rehearsal-Free Contrastive Language–Image Pretraining (CLIP)-B... by Li Jiao, Wenlong Fu, Xiaolu Chen

“…To address these issues, we propose the Image–Text (IT-)Prompt method, which leverages the inherent correlation between visual and textual information to train discrete prompts dedicated to individual tasks, serving as repositories for task-specific knowledge. …”
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Peculiarities of surgical technique using a capsule ring for intra-capsular fixation of IOL in children with congenital subluxation of the lens by L. A. Katargina, T. B. Kruglova, N. S. Egyian, N. N. Arestova

“…The aim of the work is to develop a differentiated method of surgical treatment of children with congenital ectopia of the lens using a capsule ring and intra — capsule fixation of IOL.Material and methods. 15 children (28 eyes) at the age of 5–8 years with congenital ectopic lens I–III degree with the syndrome of Marfan, Weil — Marchesani, homocystinuria and isolated pathology were operated. …”
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Laser technologies in treatment of cervical intraepithelial neoplasia (review) by D. A. Tzerkovsky, V. V. Dunaevskaya

“…The authors analyzed and systematized the foreign experience of these methods of treatment, their indications and contraindications, as well as the advantages over traditional approaches to the treatment of this pathology. …”
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Interpretation of Constructivism Stylistics in the Development of the Identity of a Film Cultural Center as a Tool of Attracting the Audience by Dana K. Timonina, Olga A. Tsesevichene

“…Design methods: analysis of similar developments (direct and indirect), associative thinking method and projectivography method. …”
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TDFNet: twice decoding V-Mamba-CNN Fusion features for building extraction by Wenlong Wang, Peng Yu, Mengmeng Li, Xiaojing Zhong, Yuanrong He, Hua Su, Yunxuan Zhou

“…Research shows the importance of both global context and spatial details for accurate building extraction. Therefore, methods integrating convolutional neural networks (CNNs) and visual transformers (ViTs) are popular nowadays. …”
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Kohonen’s algorithm in problems of classification of defects in printed circuit assemblies by S. U. Uvaysov, V. V. Chernoverskaya, An Kuan Dao, Van Tuan Nguyen

“…The article presents a new method for diagnosing the technical condition of radio-electronic components, combining the methods of thermal diagnostics with the technologies of artificial neural networks. …”
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ALGORITHMS OF THE AUTOMATIC DIGITAL ANALYSIS OF VEGETABLE SEEDS QUALITY by F. В. Musaev, М. S. Antoshkina, A. V. Soldatenko, S. L. Beletsky, N. N. Potrakhov

“…Now programming, automation of this method is conducted. The way of the digital analysis of x-ray images in the automatic mode comes to replacement of earlier applied visual analysis of radiographs of seeds. …”
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Towards Effective Participation: A Stakeholder-Centered Evaluation for Aggregating Spatially Explicit Data by Sebastian Leahy, Eduardo Dias

“…Subsequently, a follow-up study was employed to validate the perceived feeling of ownership among both of the methods in terms of the stakeholders’ sense of community representation within the visual outputs. …”
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Linear Total Variation Approximate Regularized Nuclear Norm Optimization for Matrix Completion by Xu Han, Jiasong Wu, Lu Wang, Yang Chen, Lotfi Senhadji, Huazhong Shu

“…Matrix completion that estimates missing values in visual data is an important topic in computer vision. …”
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Comparison of three types of scleral fixation of the intraocular lens by Zeeyoon Byun, Sungsoon Hwang, Mingui Kong

“…The ab externo method utilized conventional sutured techniques, while the trocar-cannula-based sutureless method was adapted from the “Yamane” technique, employing a wide-angle fundus lens to facilitate IOL manipulation in the vitreous cavity. …”
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Advancing Spike Sorting Through Gradient‐Based Preprocessing and Nonlinear Reduction With Agglomerative Clustering by Mohammad Amin Lotfi, Fatemeh Zareayan Jahromy, Mohammad Reza Daliri

“…This underscores the necessity for the development of fully automated spike‐sorting methods capable of achieving high accuracy. Method Unsupervised mathematical methods in spike sorting possess an advantage over supervised machine learning and deep learning models as they require no training and involve lower computational costs. …”
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Technology for risk assessment at product lifecycle stages using fuzzy logic by A. N. Chesalin, S. Ya. Grodzenskiy, Pham Van Tu, M. Yu. Nilov, A. N. Agafonov

“…An approach based on fuzzy logic and a hybrid fuzzy neural network model is proposed, which allows to present the used criteria in a con-venient form and implement a logical conclusion using simple and visual production rules. At the same time, the effectiveness and accuracy of the developed risk assessment system based on fuzzy logic is mainly determined by the quality of expert information and the consistency of the methods used to obtain it. …”
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