RGB Pixel Combination Method for Underwater Camouflaged Image Categorization Using Graph Neural Networks by K Dhamodharan, Thanapal Pandi

“…This article introduces the Edge-Recognition Method using Graph Neural Networks (ERM-GNN) to address visual differentiations of such particles with precise categorization. …”
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Reliability evaluation method and system for the ventilation door cylinder based on Bayes Monte Carlo simulation by Peiyang Su, Liwen Guo, Jiayong Zhang, Li Ma

“…To address this gap, this study proposes a Weibull life prediction method, integrating Bayesian inference and Monte Carlo simulation, aiming at anticipating changes in cylinder reliability. …”
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Improvement of multi-parameter anomaly detection method: Addition of a relational token between parameters by Hironori Uchida, Keitaro Tominaga, Hideki Itai, Yujie Li, Yoshihisa Nakatoh

“…Since only the parameter portions vary within the same log template structure, these proposed tokens effectively capture the relationships between parameters. Additionally, we visualized the influence of the added tokens and conducted experiments using a new dataset to assess the reliability of our proposed method.…”
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Examining the research methods of early warning signals in clinical psychology through a theoretical lens by Jingmeng Cui, Merlijn Olthof, Fred Hasselman, Anna Lichtwarck-Aschoff

“…Methods This article employs a variety of methods, such as a narrative review, mathematical derivations, simulations, and visual illustrations, to support our claims, explain specific assumptions, and guide future empirical research. …”
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A Novel Audio Copy Move Forgery Detection Method With Classification of Graph-Based Representations by Beste Ustubioglu, Gul Tahaoglu, Arda Ustubioglu, Guzin Ulutas, Muhammed Kilic

“…In this stage, the filtered audio is represented as a graph using the proposed spiral pattern information extraction method. Graph coloring algorithms are applied to convert the graph into a visual representation, which is then input into a specially designed Convolutional Neural Network (CNN) model for classification. …”
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Screening Method to Identify Watermelon Cultivars Resistant to Acidovorax citrulli, the Cause of Bacterial Fruit Blotch by Soo Min Lee, Gahyeon Kim, Hun Kim, Gyung Ja Choi

“…Taken together, we established the following method to determine the resistance of watermelon cultivars against A. citrulli: watermelon seedlings at the fully expanded two-leaf stage can be spray-inoculated with an A. citrulli bacterial suspension at a concentration of 1.0 × 106 cfu/ml; after incubation for 48 h at 28°C in a humidity chamber, the plants were cultivated in a growth chamber at 25°C with 80% relative humidity under a 12-h light/dark cycle; and BFB occurrence on the plants can be investigated at 7 dpi by visual estimation of the diseased leaf area (%). …”
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General models for predicting the liquid thermal conductivity of fatty acid esters based on smart methods by Chou-Yi Hsu, Ahmad Mohsin, Ramdevsinh Jhala, Nagaraj Patil, Debasish Shit, V.K. Bupesh Raja, Manoj Kumar Ojha, Abinash Mahapatro, Deepak Gupta, Fereydoon Ranjbar

“…A general and straightforward thermal conductivity correlation was also constructed employing the Gene Expression Programming (GEP) method. Evaluations based on statistical indices and visual techniques demonstrated that all of the developed models are capable of predicting thermal conductivity with a high degree of accuracy, because the majority of their predictions fell within a ± 2 % error band. …”
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5G Indoor/Outdoor Field Trial of Deep Joint Source-Channel Coding Method by Daisuke Hisano, Keigo Matsumoto, Yoshiaki Inoue, Yuko Hara, Kazuki Maruta, Yu Nakayama, Hiroshi Tatsukawa, Yuji Kawai, Yoshinori Shinohara, Hiroki Ikeda

“…Unlike conventional methods, DeepJSCC inherently avoids the cliff effect and maintains stable image quality under harsh channel conditions. …”
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Research on Cross-Sensor Remote Sensing Image Super-Resolution Method Based on Diffusion Models by Ru Miao, Kai Yang, Ke Zhou, Jia Song, Shihao Fu, Cong Liu, Yuanxing Wang

“…In remote sensing image (RSI) super-resolution (SR), traditional deep learning methods have made remarkable progress. However, these methods struggle to handle the complex mapping between cross-sensor images. …”
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Unsupervised learning-based panoramic unfolded image stitching method for rock mass borehole wall by XIAO Yu, LI Zehao, WANG Chao

“…The stitching seams exhibited almost no visible artifacts, improving the overall quality and visual effect of the stitched images. The method outperforms other mainstream image stitching approaches in terms of Root Mean Square Error (RMSE), Peak Signal-to-Noise Ratio (PSNR) in overlapping regions, and Structural Similarity (SSIM) index, significantly enhancing the stitching accuracy of panoramic unfolded images of rock mass borehole walls.…”
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Patient perspective of ward rounds in Swiss internal medicine departments: a mixed-methods study by Flavio Gössi, Armon Arpagaus, Christoph Becker, Sebastian Gross, Stefano Bassetti, Sabina Hunziker

“…This quantitative and qualitative study aimed to assess patient satisfaction with interprofessional ward rounds. METHODS: This mixed-methods observational study evaluated patient satisfaction with ward rounds in a hospital setting. …”
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Assessment of monthly to daily streamflow disaggregation methods: A case study of the Nile River Basin by Mohamed Refaat Elgendy, Paulin Coulibaly, Sonia Hassini, Wael El-Dakhakhni, Yasser Elsaie, Mesfin Benti Tolera, Samuel Dagalo Hatiye, Mekonen Ayana

“…We assessed these methods using three metrics and visual investigations. …”
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Computational Methods for Information Processing from Natural Language Complaint Processes—A Systematic Review by J. C. Blandón Andrade, A. Castaño Toro, A. Morales Ríos, D. Orozco Ospina

“…The results show various proposals using linguistic, statistical, machine learning, and hybrid methods. We find that most authors combine Natural Language Processing (NLP) and Machine Learning (ML) to create hybrid methods. …”
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A Ship’s Maritime Critical Target Identification Method Based on Lightweight and Triple Attention Mechanisms by Pu Wang, Shenhua Yang, Guoquan Chen, Weijun Wang, Zeyang Huang, Yuanliang Jiang

“…The ability to classify and recognize maritime targets based on visual images plays an important role in advancing ship intelligence and digitalization. …”
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Development of high-performance thin-layer chromatography method for herbals identification in extemporaneous oral solution by K. O. Khokhlova, O. A. Zdoryk

“…Since there is no single analytical method that ideally suited for all drugs, for each formulation depend on its composition and analytical goal, appropriate quality control methods should be developed. …”
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A Deep-Learning-Based Detection Method for Small Target Tomato Pests in Insect Traps by Song Wang, Daqing Chen, Jianxia Xiang, Cong Zhang

“…Experimental results show that our method can accurately detect three insects: whitefly (WF), macrolophus (MR), and nesidiocoris (NC) in the yellow sticky trap images of tomato crops. …”
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Image based quantification method reveals differential patterns of lip desquamation associated with age and sex by Hanji Kim, Jung Yeon Seo, Sangseob Leem, Seung Won You, Yunkwan Kim, Nae Gyu Kang

“…Given the current ease of acquiring image data, our image-based method has the potential to advance the lip skin research.…”
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A SAM-adapted weakly-supervised semantic segmentation method constrained by uncertainty and transformation consistency by Yinxia Cao, Xin Huang, Qihao Weng

“…Existing weakly-supervised methods often leverage low-level visual or high-level semantic features from networks to generate supervision information for unlabeled pixels, which can easily lead to the issue of label noises. …”
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EXPLORING OF ACID-BASIC PROPERTIES, DEVELOPMENT AND VALIDATION OF THE METHOD OF QUANTITATIVE DETERMINATION OF ORIGINAL PHARMACEUTICAL SUBSTANCE by G. M. Alekseeva, V. F. Apraksin, Yu. E. Generalova

“…The analyzed compound is a salt of a weak dibasic acid, which exhibits basic properties in an aqueous solution; therefore, for its quantitative determination, a direct acid-base titration method (acidimetry) was proposed. The method of quantitative determination of the active compound in the substance 4,4’-(propandiamido) sodium dibenzoate will be used in future studies for routine analysis, therefore a visual (indicator) method for determining the end point of the titration has been chosen. …”
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Relationship Between the Nasopharyngeal Swab Sampling Method, Nasal Obstruction, and SARS-Cov-2 Positivity by Dogan Cakan, Zeliha Kubra Cakan, Semih Usaklioglu, Yetkin Zeki Yilmaz, Omer Uysal, Hasan Ahmet Ozdogan

“…In this context, we investigated the effect of the nasopharyngeal swab sampling method and the presence of nasal obstruction on the detection of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2).Methods:This prospective clinical study was conducted from March 2021 to January 2022. …”
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