Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology by Hassan Bagheri, Reza Mohebian, Ali Moradzadeh, Behnia Azizzadeh Mehmandost Olya

“…So, all three feature selection algorithms introduced the number of 4 logs as the most optimal number of inputs to the DL algorithm with different combinations of logs for each of the three desired outputs. …”
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Node Classification Based on Kolmogorov-Arnold Networks by YUAN Lining, FENG Wengang, LIU Zhao

“…Most graph deep learning methods extract feature information from graph data by using learnable weights and specific activation functions. …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

“…An adversarial mechanism makes the encoder make more accurate estimates of how potential features might be distributed. As a result, decoders can make graphs that are more like the original graph. …”
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IMPROVING THE ORGANIZATION OF PASSENGER SERVICE ON THE ROUTE BY USING BUSES OF DIFFERENT CAPACITY by I. M. Ryabovbov, R. Ya. Kashmanov

“…The authors propose to use a rational distribution of buses, taking into account their passenger capacity and the hours of the day, in order to optimize the operation of the rolling stock (RS) on the route. …”
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Efficient topology control for time-varying spacecraft networks with unreliable links by Wei Zhang, Hong Ma, Tao Wu, Xueshu Shi, Yiwen Jiao

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Data Processing and Algorithm Analysis of Vehicle Path Planning Based on Wireless Sensor Network by Wenyuan Tao, Mingqin Chen

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Adaptive Task Scheduling in Fog Computing Using Federated DQN and K-Means Clustering by Prashanth Choppara, S. Sudheer Mangalampalli

“…Substantial experiments conducted on large and small sizes of dataset show that the proposed FLDQN outperforms others, including standalone DQN and graph-based GGCN. For all dataset sizes small, medium, and large datasets, it reduces makespan by up to 30%, improves throughput, and reduces energy by distributing tasks on the most efficient node based on current system states. …”
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Symmetry-driven embedding of networks in hyperbolic space by Simon Lizotte, Jean-Gabriel Young, Antoine Allard

“…Abstract Hyperbolic models are known to produce networks with properties observed empirically in most network datasets, including heavy-tailed degree distribution, high clustering, and hierarchical structures. …”
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Optimasi DF Berbasis Posisi Jendela Menggunakan Estetika Asimetris by Yose Rizal, Imam Robandi, Eko Mulyanto Yuniarno

“…Optimization using the  can be used by architects to determine the distribution of DF, asymmetry aesthetics or even both. …”
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Characterization and application of flow heterogeneity in high water cut reservoirs by ZHANG Min, JIN Zhongkang, FENG Xubo

“…Additionally, flow velocity, as the most intuitive representation of the flow field, was chosen as the computational indicator to develop a method for evaluating heterogeneity. …”
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Local Outlier Detection Method Based on Improved K-means by Yu ZHOU, Hao XIA, Xuezhen YUE, Peichong WANG

“…The changes in the cost function value with the number of clusters are recorded and plotted as a line graph. When there is no significant decrease in the cost function value with an increase in the number of cluster centers, the position of the “elbow” is observed to determine the optimal number of clusters. …”
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Standardizing multidrug resistance definitions and visualizations to support surveillance across One Health by Claudia Cobo Angel, Ava Glowney, Emma Lin, Abdolreza Mosaddegh, Kurtis Sobkowich, Zvonimir Poljak, J. Scott Weese, Casey L. Cazer

“…Results: Bar charts, visual antibiograms, heat maps, and network graphs were the most common visualizations employed in peer-reviewed publications, websites, and reports. …”
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An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…Figure (10) shows the correspondence of the neural network model for the testing samples and their associated locations for the actual samples (left graph) and the training samples (right graph).  There is a very high correspondence between the left graph (real localities) and the right graph (estimated localities). …”
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Development and external validation of a model to predict recurrence in patients with non-muscle invasive bladder cancer by Jiajia Tang, Jiajia Tang, Longmei Fan, Longmei Fan, Tianyu Huang, Tianyu Huang, Rongrong Yang, Rongrong Yang, Xinqi Yang, Xinqi Yang, Yuanjian Liao, Mingshun Zuo, Neng Zhang, Jiangrong Zhang, Jiangrong Zhang

“…Cox risk regression models and randomized survival forest (RSF) models were developed. The optimal model was selected by comparing the area under the curve (AUC) of the working characteristics of the subjects in both and presented as a column-line graph.ResultsThe study included data from 566 patients obtained from the affiliated hospital of Zunyi Medical University and 167 patients obtained from the third affiliated hospital of Zunyi Medical University. …”
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Alpha Tocopherol Outperforms Melatonin and Silymarin Antioxidant Defense Against Cyclophosphamide Induced Cardiorenal Toxicity by Maryam Saqib, Noaman Ishaq, Zari Salahuddin, Maryam Nadeem, Sarha, Iqra Ijaz

“…Statistical analysis utilized Graph-pad Prism version 5 with Shapiro-Wilk and Levene’s test for data distribution and variance. …”
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Alpha Tocopherol Outperforms Melatonin and Silymarin Antioxidant Defense Against Cyclophosphamide Induced Cardiorenal Toxicity by Maryam Saqib, Noaman Ishaq, Zari Salahuddin, Maryam Nadeem, Sarha, Iqra Ijaz

“…Statistical analysis utilized Graph-pad Prism version 5 with Shapiro-Wilk and Levene’s test for data distribution and variance. …”
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Load Forecasting in Electrical Grids: Analysis of Methods and their Trends by Kyryk V.V., Shatalov Y.O.

“…The most important results are the obtained graphs of the dynamics of forecast of error changes for different models by years, as well as the possible ranges of variation of this error. …”
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Development of the composition and technology of a combined gel for the treatment of osteoarthritis with a pharmacological rationale for the content of components by U. V. Nogaeva, Ju. M. Kotsur, E. V. Flisyuk, D. Yu. Ivkin, E. D. Semivelichenko, I. A. Titovich, I. A. Narkevich, V. G. Antonov

“…The results corresponded to the laws of normal distribution, statistical processing was carried out using one-way analysis of variance (One-Way ANOVA) using the GraphPad Prism 8.0.2 software, USA at the level of statistical significance of differences p < 0,05 и p < 0,001.Results and discussion. …”
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Estimation and evaluation of iron reserves in the eastern area of Eileh1 mine, Razavi Khorasan province by Hamid Esmati Daroneh, Maryam Gholamzadeh

“…As illustrated in Figure 17, the graph of the average grade calculated by both methods and across the two software platforms aligns closely, with variations in tonnage charts primarily reflected in the slope of the graph line at specific grades. …”
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Numerical modeling of coupled electromagnetic and thermal processes in the zone induction heating system for metal billets by V. Yu. Grytsiuk, M. A. M. Yassin

“…With zone induction heating systems for metal billets developing it is necessary, at the design stage, to perform a quantitative analysis of the main characteristics of the electrothermal process and provide recommendations for optimal parameters and heating modes selections. Accurate calculations for induction heating systems involve considering the distribution of the magnetic field, current density, and changes of material properties throughout volume of the heated billet. …”
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