Virtual measurement system for UHF-transistor amplifiers by Alexander D. Tupitsyn

“…The algorithm of a measuring system operation was described. 3D measuring complex and objects under test visualization were shown. …”
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Intent-Based Multi-Cloud Storage Management Powered by a Fine-Tuned Large Language Model by Jingya Zheng, Gaofeng Tao, Shuxin Qin, Dan Wang, Zhongjun Ma

“…Experimental results show that the system achieves a whole end-to-end (E2E) lifecycle for managing user intents. …”
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Quantitative structure-activity relationship study of some angiotensin-converting enzyme inhibitor drugs in the treatment of hypertension based on Monte Carlo optimization method by Shahram Lotfi, Shahin Ahmadi, Ali Azimi

“…The whole data set is randomly divided into three splits, and an individual model was created for each division. …”
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Analysis methodology for the strategies of educational programs in the system of additional professional education as a component of adaptive marketing by Ольга Харитонова

“…The paper describes the algorithm of adaptive marketing applied to the educational programs in the system of additional professional education. …”
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Neural network for prediction solar radiation in Relizane region (Algeria) - Analysis study by Dahmani Abdennasser, Yamina Ammi, Salah Hanini

“…The neural network-optimal model was trained and tested using 80 %, and 20 % of whole data, respectively. The best results were obtained with the structure 10-25-1 (10 inputs, 25 hidden, and 1 output neurons) presented an excellent agreement between the calculated and the experimental data during the test stage with a correlation coefficient of R = 0.9879, root means squared error of RMSE = 47.7192 (Wh/m2), mean absolute error MAE = 27.7397 (Wh/m2), and mean squared error MSE = 2.2771e+03(Wh/m2), considering a three-layer Feedforward neural network with Regularization Bayesienne (trainbr)  training algorithm, a hyperbolic tangent sigmoid and linear transfer function at the hidden and the output layer, respectively. …”
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Degradable transportation network with the addition of electric vehicles: Network equilibrium analysis. by Rui Zhang, Enjian Yao, Yang Yang

“…Subsequently, a heuristic solution algorithm is developed to solve the proposed model. …”
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A New Surface Waters Downscaling Approach Applicable at Global Scale by Thu-Hang Nguyen, Filipe Aires

“…., presence of water during the whole time record). By using this updated FI, the new downscaling became a true data-fusion with permanent water databases originating mainly from visible observations. (2) Some discontinuities between low resolution cells have been reduced thanks to a new smoothing algorithm. (3) Finally, a coastal extrapolation scheme has been presented to deal with coarse resolution data contaminated by the ocean. …”
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Graph convolution-based adaptive feature fusion method for MRI brain tumor segmentation by Ye ZHANG, Muqing ZHANG, Xuegang YUAN, Datian NIU

“…The evaluation on the publicly available BraTS 2019—2021 datasets shows that the Dice values for whole tumor,tumor core and enhanced tumor are 90.70%/90.70%/91.00%,84.90%/84.00%/88.80% and 77.30%/77.40%/82.50%,respectively. …”
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Development of a Modular System for Digitalization of Appraisal Process by D. Yu. Pavkin, S. S. Yurochka, A. R. Khakimov, I. M. Dovlatov

“…(Materials and methods) The emphasis is paid on the necessity of integrating into the whole farm system by using a unified Internet space. …”
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ECG Signal Detection and Classification of Heart Rhythm Diseases Based on ResNet and LSTM by Qiyang Xie, Xingrui Wang, Hongyu Sun, Yongtao Zhang, Xiang Lu

“…Comparing the results of the ResNet34 model and ResNet-18 model on the same test dataset, we can see that the improved model in this paper has a better classification and recognition effect on ECG signals as a whole, which can identify atrial fibrillation diseases more effectively.…”
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mzGroupAnalyzer--predicting pathways and novel chemical structures from untargeted high-throughput metabolomics data. by Hannes Doerfler, Xiaoliang Sun, Lei Wang, Doris Engelmeier, David Lyon, Wolfram Weckwerth

“…Monitoring metabolite dynamics over time thus theoretically encrypts the whole range of possible chemical and biochemical transformations of small molecules involved in metabolism. …”
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A Generic Millimeter Wave and Terahertz Spectrum Reuse Model for In-Building Multi-Band Small Cells: Achieving Spectral and Energy Efficiencies of 6G by Rony K. Saha

“…In developing GSRM, we first characterize interferences to derive a minimum distance between apartments of co-channel small cells at both intra-floor and inter-floor levels for each band leading to the formation of a 3-dimensional (3D) cluster of apartments such that the whole spectrum of the corresponding band is allocated to small cells within the cluster. …”
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Automatic 3D Modeling Technique for Transmission Towers from 2D Drawings by Ziqiang Tang, Chao Han, Hongwu Li, Zhou Fan, Ke Sun, Yuntian Huang, Yuxin Chen, Chenxing Wang

“…For each tower section, the 3D outer contour framework was constructed first using the wireframe model algorithm, followed by the assembly of internal details onto the 3D contour framework to fully reconstruct the 3D model. …”
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A NOVEL DEEP LEARNING APPROACHES FOR MULTI-CLASS HISTOPATHOLOGICAL SUB-IMAGE CLASSIFICATION USING PRIOR KNOWLEDGE by Riyam Ali Yassin, Morteza Valizadeh, Alaa Hussein Abdulaal

“…Notably, the integration of prior knowledge and the focus on sub-image classification rather than whole images significantly enhanced cancer classification accuracy. …”
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The Impact of Assimilating Ionosphere and Thermosphere Observations on Neutral Temperature Improvement: Observing System Simulation Experiments Using EnKF by Jianhui He, Xinan Yue, Zhipeng Ren

“…Such observations are ingested into the coupled ionosphere and thermosphere model based on our developed ensemble Kalman Filter data assimilation systems on the basis of the ensemble Kalman filter algorithm and the National Center for Atmospheric Research Thermosphere Ionosphere Electrodynamics General Circulation Model. …”
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A New Task-Space Neural Nonlinear Control Approach for Robotic Manipulators Under Joint Constraints by Nguyen Tran Minh Nguyet, Dang Xuan Ba

“…The in-depth simulation results exhibited that the proposed control algorithm possesses outperformance working abilities such as model-free adaptation, robustness, high accuracy and comprehensiveness.…”
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Research on Energy-Saving Control Strategy of Nonlinear Thermal Management System for Electric Tractor Power Battery Under Plowing Conditions by Xiaoshuang Guo, Ruiliang Xu, Junjiang Zhang, Xianghai Yan, Mengnan Liu, Mingyue Shi

“…To address the issue of over-regulation of the temperature of a liquid-cooled power battery thermal management system under the plowing condition of electric tractors, which leads to high energy consumption, a nonlinear model prediction control (NMPC) algorithm for the thermal management system of the power battery of electric tractors applicable to the plowing condition is proposed. …”
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Microseismic Signals in Heading Face of Tengdong Coal Mine and Their Application for Rock Burst Monitoring by JianJu Ren, Wenlong Zhang, Zheng Wu, Ji Li, Ying Shen

“…MS monitoring technology and analysis method of the whole mine or working face have been matured, but its use in heading faces of coal mine is not mature due to small disturbances and narrow layout spaces. …”
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Identification and application of shale lithofacies based on conventional logging curves: A case study of the second member of Funing Formation in Qintong Sag, Subei Basin by WANG Xinqian, YU Wenduan, MA Xiaodong, ZHOU Tao, TAI Hao, CUI Qinyu, DENG Kong, LU Yongchao, LIU Zhanhong

“…Additionally, a BP neural network method optimized by the ASO（Atom Search Optimization） algorithm was utilized to perform data mining on logging information. …”
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Rheological behavior of MWCNT-SnO2/SAE50 hybrid nanolubricant: Experimental evaluation and viscosity prediction using optimized machine learning model by Mojtaba Sepehrnia, Hamid Maleki, Alireza Hamidi, Ali Davoodi, Hamidreza Golmohammadi

“…In the second part of this paper, highly accurate models for predicting the viscosity of the nanolubricant were developed by proposing a whole search-based strategy for the structural/training optimization of the multilayer perceptron neural network (MLPNN). …”
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