Ring Fusion of Fisheye Images Based on Corner Detection Algorithm for Around View Monitoring System of Intelligent Driving by Jianhui Zhao, Hongbo Gao, Xinyu Zhang, Yinglin Zhang, Yuchao Liu

“…In order to improve the visual effect of the around view monitor (AVM), we propose a novel ring fusion method to reduce the brightness difference among fisheye images and achieve a smooth transition around stitching seam. …”
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Standardization as Way of Raising Efficiency of Power Enterprises in Conditions of Digital Transformation by O. Yu. Myasnikova, T. A. Andreeva

“…Work in program complexes maintaining technology requires a new method of standard visualization. The article reviews methods of standardization at power enterprises and provides recommendations aimed at their introduction and use in managing the production system in conditions of digitalization. …”
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Physical Simulation of Burning Process of Alternative Engine Fuels by M. S. Assad

“…Visualization of burning process in the closed vessel has been fulfilled with the help of method high-speed photography through a transparent glass. …”
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Results and prospects of European radish breeding by Maria A. Kosenko

“…Heterosis hybrids have high yield, marketability, equalization, friendly yield and resistance to disease. …”
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Imaging the main molecular biological subtypes of breast cancer: comparison of mammographic data and histological findings by O. S. Khodorovich, L. B. Kanakhina, T. V. Sherstneva, A. A. Kalinina-Masri, Sh. M. Dibirova

“…Mammography emerges as an objective and accessible visualization method for BC, enabling assessment of tumor size and peritumoral region. …”
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Rapid fault cause identification in surface mount technology processes based on factory-wide data analysis by Dongil Kim, Jeongin Koo, Hyein Kim, Seokho Kang, Sang Hyun Lee, Jeong Tae Kang

“…The proposed method showed reasonable results in approximately 65 s, and the visualization of the results provided a suitable basis for intuitive interpretation, thus demonstrating the method’s ability to generate an efficient analysis in a practical application.…”
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Effectiveness of Feature Extraction by PCA-Based Detection and Naive Bayes Classifier for Glaucoma Images by J. Shiny Christobel, D. Vimala, J. Joshan Athanesious, S. Christopher Ezhil Singh, Sivaraj Murugan

“…The images are involved in dilation as a preprocessing, enhancement using the contrast limited adaptive histogram equalization method, and followed by the extraction of features using principal component analysis. …”
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Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system by Philipp Teutsch, Philipp Pfeffer, Mohammad Sharifi Ghazijahani, Christian Cierpka, Jörg Schumacher, Patrick Mäder

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Urban Traffic Noise Analysis with The Integration of Vision-Language Model and 3DWebGIS by Y. Zhang, Z. Wang, L. Huang, L. Huang, R. Huang

“…This study proposes an innovative three-dimensional dynamic noise mapping method addressing existing technical challenges in noise modeling and visualization. …”
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The effects of unified pooling arrangement on health inequity in China: a DID-RIF approach by Jing Wu, Yuqing Liu, Chuncheng Wang, Lianjie Liu, Jiaqian Lu

“…Ultimately, this paper aims to assess the impact of the UPA policy on health inequity. Methods This study takes the provincial unified reform of basic medical insurance for urban employees in China as an example, uses the China Family Panel Studies (CFPS) data and related policy documents, and adopts the DID-RIF hybrid method to test the impact of the equalization of the medical insurance system on health inequity, by using the interaction term in the DID (Difference-in-Differences) model as the independent variable in the RIF (Recentered Influence Function) to exclude the influence of other interfering variables. …”
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基于半监督聚元自组织映射的齿轮早期故障检测 by 樊帆, 徐亚兵

“…Self-organizing feature map is often limited by long training time,low diagnosis accuracy and bad classification visualization when it is applied in gear fault diagnosis.A novel method of semi-supervised LDA-GNSOM（Linear Discriminative Analysis Grouping Neuron Self-organized Map） is proposed for fault diagnosis.Firstly,the fault of original feature space is reduced by using LDA,and then the reduced feature subsets are input into the semi-supervised GNSOM network for classification and visualization.The effectiveness of this method is verified by using Iris dataset.And the gear incipient fault experiments are also conducted to demonstrate that the new approach is effective for gear incipient pitting detection.…”
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Temu Kembali Citra Tenun Nusa Tenggara Timur menggunakan Esktraksi Fitur yang Robust terhadap Perubahan Skala, Rotasi, dan Pencahayaan by Budiman Baso, Nanik Suciati

“…The tenun image retrieval system in this study used the Bag of Visual Words (BoVW) model of the keypoints in the extracted image using the Speeded Up Robust Feature (SURF) method. …”
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Alternatives to Cadaveric Dissection in Medical Education: An Overview by Suman Verma, Urvi Sharma

“…Prosection is a valuable method for understanding anatomical relations. Plastination enhances the visualization of complex anatomical structures. …”
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Transmission Line Anomaly Detection and Real-Time Monitoring System Combining Edge Computing and EfficientDet by Menghao Lin, Yang Ding, Tianle Wang, Yang Liu, Zewei Li

“…The experimental results show that the proposed method effectively improves recognition accuracy and recall rate, achieving over 88% on different types of transmission lines. …”
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Shifting Sands: Examining and Mapping the Population Structure of Greece Through the Last Three Censuses by Kleomenis Kalogeropoulos, Dionysios Fragkopoulos, Panagiotis Andreopoulos, Alexandra Tragaki

“…This paper aims to facilitate a more nuanced understanding of regional disparities in the population age structure at a local scale by applying a recent method for visualizing these disparities. Utilizing data from the three most recent population censuses in Greece, this method applies advanced data visualization techniques to map age distributions, highlighting significant variations in aging patterns across municipalities, towns, and districts. …”
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High Humidity Grain Periodic Drying by A. V. Golubkovich, I. D. Lukin

“…(Materials and methods) It was noted that the mosteffective drying uniformity is achieved by recycling method. …”
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Efficient Recovery of Linear Predicted Coefficients Based on Adaptive Steepest Descent Algorithm in Signal Compression for End-to-End Communications by Abel Kamagara, Abbas Kagudde, Baris Atakan

“…Subsequently, the algorithm facilitates down-conversion, time and carrier recovery, equalization, and correlation processes. To evaluate the feasibility of the proposed method, parameters such as multipath interference, additive white Gaussian noise, timing, and phase noise are modeled as channel errors in signal compression using the software-defined receiver. …”
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Research on the Control Strategy of Star Cascaded SVG underThree-phase Unbalanced Conditions by WU Bing, HU Xiaodong, LI Sufen, ZHANG Dinghua, WANG Feng, XU Yong

“…This paper proposes a two-loop control strategy with voltage outer loop and current inner loop, which adopts a method of state feedback decoupling PI control. Over-current of SVG is suppressed by negative sequence voltage feed-forward control, and DC voltage is adjusted by zero sequence voltage injection method to reallocate the active power in three phases. …”
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The idea of freedom of conscience in the views of liberal legalists in the Russian Empire: from theory to practice. Second half of the XIX – early XX century by D. V. Rybin

“…Considering legalism, we chose the chronological approach as the main method, trying to trace the evolution of the behavior of legalists from scientific justification to judicial protection of freedom of conscience. …”
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Forecasting models for Quebec’s lumber demand and exports using multivariate regression technique by Mounia Ferguene, Nadia Lehoux, Camélia Dadouchi

“…This paper proposes a methodology to extract and use open data for Quebec’s lumber demand and exports forecasts using multivariate regression techniques. A number of methods were applied to estimate the models’ coefficients using a training data set, namely the Ordinary Least Squares method with a “backward” variable selection approach, LASSO and RIDGE regressions, and the Two-Step Least Squares method. …”
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