Efficient extraction of experimental data from line charts using advanced machine learning techniques by Wenjin Yang, Jie He, Xiaotong Zhang

“…This paper proposes a novel method for extracting data from line charts, reformulating the extraction problem as an instance segmentation task, and introducing the Mamba-enhanced Transformer mask query method along with a curve mask-guided training approach to address challenges such as long dependencies and intersections in curve detection. …”
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Fault Diagnosis of Rolling Bearings Based on Two-step Transfer Learning and EfficientNetV2 by Du Kangning, Ning Shaohui

“…The experiments are evaluated by a variety of metrics, while comparing it with other methods, and using the Grad-CAM method for feature visualization. …”
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Uniform Suspension of the Clustered Triamcinolone Acetonide Particle by Masahiko Sugimoto, Mineo Kondo, Masayuki Horiguchi

“…The CV was 36.1% for the routine method and 9.03% ffor the new method. Administration of a suspended MaQ made it possible to clearly visualize the vitreous in both pig and human eyes. …”
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Simultaneous MRI and laser Doppler Flowmetry: Assessing cerebral Macro- and microcirculation in neurointensive care by Sofie Tapper, Stina Mauritzon, Marcelo P. Martins, Fredrik Ginstman, Anders Tisell, Peter Zsigmond, Karin Wårdell

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Usability Evaluation of Variability Modeling by means of Common Variability Language by Jorge Echeverria, Jaime Font, Oscar Pastor, Carlos Cetina

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Intraoperative angulation of the C-arm for X-ray of each curved surface of the femoral neck wall: a cadaveric study by Qiu-liang Zhu, Xiang-ping Yu, Jun Ma, Fang Lin, Yun-Yun Chen, Wen-Bin Ruan

“…Abstract Background C-arm fluoroscopy is the main method assisting surgical reduction and internal fixation of the femoral neck, as traditional anteroposterior and lateral fluoroscopy is insufficient for visualizing the irregular anatomical structure of the femoral neck. …”
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Distinguishing Resting State From Motor Imagery Swallowing Using EEG and Deep Learning Models by Sevgi Gokce Aslan, Bulent Yilmaz

“…We thoroughly investigated the impact of different preprocessing methods (Independent Component Analysis, Empirical Mode Decomposition, bandpass filtering) and visualization techniques (spectrograms, scalograms) on the classification performance of multichannel EEG signals. …”
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Thresholding Dolphin Whistles Based on Signal Correlation and Impulsive Noise Features Under Stationary Wavelet Transform by Xiang Zhou, Ru Wu, Wen Chen, Meiling Dai, Peibin Zhu, Xiaomei Xu

“…The test results show the SI-ACF method effectively eliminates noise, improves whistle signal spectrogram visualization, and enhances the accuracy of automated whistle detection, highlighting its potential for whistle signal preprocessing under low SNR.…”
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Rough decision rules extraction and reduction based on granular computing by Hong-can YAN, Feng ZHANG, Bao-xiang LIU

“…Rule mining was an important research content of data mining,and it was also a hot research topic in the fields of decision support system,artificial intelligence,recommendation system,etc,where attribute reduction and minimal rule set extraction were the key links.Most importantly,the efficiency of extraction was determined by its application.The rough set model and granular computing theory were applied to the decision rule reduction.The decision table was granulated by granulation function,the grain of membership and the concept granular set construction algorithm gener-ated the initial concept granular set.Therefore,attribute reduction could be realized by the distinguish operator of concept granule,and decision rules extraction could be achieved by visualization of concept granule lattice.Experimental result shows that the method is easier to be applied to computer programming and it is more efficient and practical than the existing methods.…”
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Diagnostics of hepatocellular cancer: state-of-the-art by T. Yu. Danzanova, G. T. Sinyukova, P. I. Lepedatu

“…Advantages and restrictions of each of method of visualization are presented.Conclusion. …”
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Semi-automated protocol to quantify and characterize fluorescent three-dimensional vascular images. by Danny F Xie, Christian Crouzet, Krystal LoPresti, Yuke Wang, Christopher Robinson, William Jones, Fjolla Muqolli, Chuo Fang, David H Cribbs, Mark Fisher, Bernard Choi

“…Three-dimensional (3D) imaging presents a more appropriate method to visualize the vascular architecture in tissue. …”
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Image Alignment Based on Deep Learning to Extract Deep Feature Information from Images by Lin Zhu, Yuxing Mao, Jianyu Pan

“…The visualization results validate the significant improvement in the features’ visual quality and confirm the method’s advantages in terms of stability and discriminative properties of deep feature extraction.…”
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A novel procedure for precise quantification of Schistosoma japonicum eggs in bovine feces. by Bin Xu, Catherine A Gordon, Wei Hu, Donald P McManus, Hong-Gen Chen, Darren J Gray, Chuan Ju, Xiao-Jun Zeng, Geoffrey N Gobert, Jun Ge, Wei-Ming Lan, Shu-Ying Xie, Wei-Sheng Jiang, Allen G Ross, Luz P Acosta, Remigio Olveda, Zheng Feng

“…It allows improved microscopic visualization of S. japonicum eggs and provides an accurate quantitative method for the estimation of infection in bovines and other ruminant reservoir hosts. …”
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Application of ionic liquids in scanning electron microscopy studies of dielectric microstructure by A.I. Ivanova, A.V. Dudilovskaya, O.E. Zhuravlev, A.D. Kaphtanov

“…A comparative analysis of the results obtained by traditional methods and the method of applying ionic liquid to samples is carried out. …”
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An MRI-based fusion model for preoperative prediction of perineural invasion status in patients with intrahepatic cholangiocarcinoma by Zuochao Qi, Hao Yuan, Qingshan Li, Pengyu Chen, Dongxiao Li, Kunlun Chen, Bo Meng, Peigang Ning, Haibo Yu, Deyu Li

“…In the training set, the AUC was 0.905, with an accuracy of 0.823; in the external test set, the AUC was 0.760, with an accuracy of 0.778. Visualization methods provided support for the practical application of the model. …”
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Convolutional Neural Network-Based Approach for Cobb Angle Measurement Using Mask R-CNN by Marcos Villar García, José-Benito Bouza-Rodríguez, Alberto Comesaña-Campos

“…The Cobb angle measurement method has been widely considered as the gold standard for a scoliosis assessment. …”
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Tooth image segmentation and root canal measurement based on deep learning by Ziqing Chen, Qi Liu, Jialei Wang, Nuo Ji, Yuhang Gong, Bo Gao

“…The segmentation results are mapped back to the original coordinates and position-corrected, followed by automatic measurement and visualization of root canal lengths and angles.ResultsQuantitative evaluation demonstrated a segmentation Dice coefficient of 96.33%, Jaccard coefficient of 92.94%, Hausdorff distance of 2.04 mm, and Average surface distance of 0.24 mm - all surpassing existing methods. …”
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Artificial Intelligence: the dichotomy of technology development by G. A. Shcherbakov

“…Purpose: identification of opportunities and potential risks in the implementation of artificial intelligence technologies on the basis of the dominant trends analyzing in the current high-tech sector development of the global economy.Methods: the paper uses the system approach, the method of classification and systematization, the method of estimations and scientific abstractions, the methods of information analysis and synthesis, the method of data visualization.Results: the article considers economic and technical-technological aspects of building intelligent systems, establishes trends of their development in the direction of multitasking and autonomy of performed functions, identifies opportunities and threats arising from the development of this direction of scientific and technological progress. …”
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SYSTEM FOR CONTROL,EVALUATIONAND VISUALIZATIONOF THE PHYSICAL DEVELOPMENT OF YOUNG MALETAEKWONDO ATHLETES by D. Avramov

“…Squat jumps –30 seconds. The method of Sigma digressions was used for creating the ranking scales. …”
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Network Analysis of a Maritime Trade in Medieval Japan by Dimitri Tatoyan, Aleksandra Kobiljski, Hiroki Yamashita, Éric Mermet

“…A community detection method allows us to open up new avenues of understanding maritime trade clusters, while geospatial data visualization point to a historically irregular absence which requires further research.…”
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