Prediction of Sonic Log Values Using a Gradient Boosting Algorithm in the 'AB' Field by Rasif Nahari, Utama Widya, Ardhya Garini Sherly, Fitri Indriani Rista, Pratama Novian Putra Dhea

“…These parameters are displayed as vertical log curves against well depth. …”
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GEANT4 Simulation of Proton Beam Properties from a Cyclotron Accelerator at King Chulalongkorn Memorial Hospital by Piyanud Thongjerm, Ekkachai Kongmon, Khwanjira Tangpong, Phalakorn Khwansungnoen, Sarinrat Wonglee, Weerawat Pornroongruengchok, Nantanat Chailanggar

“…For effective treatment, the linear energy transfer (LET) is a key parameter in ensuring the destruction of diseased cells, and both the dose and LET are typically represented as functions of depth. …”
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Multi-view fusion of diffusion MRI microstructural models: a preterm birth study by Rosella Trò, Monica Roascio, Domenico Tortora, Mariasavina Severino, Andrea Rossi, Andrea Rossi, Eleftherios Garyfallidis, Gabriele Arnulfo, Gabriele Arnulfo, Marco Massimo Fato, Shreyas Fadnavis

“…SVM classification on skeletonized HARDI measures yielded satisfactory accuracy, particularly for highly informative parameters about fiber directionality. Assessment of the degree of overlap between the two methods in voting for the most discriminating features exhibited a good, though parameter-dependent, rate of agreement. …”
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Deep learning-based semantic segmentation for rice yield estimation by analyzing the dynamic change of panicle coverage by Hyeok-Jin Bak, Eun-Ji Kim, Ji-Hyeon Lee, Sungyul Chang, Dongwon Kwon, Woo-Jin Im, Woon-Ha Hwang, Jae-Ki Chang, Nam-Jin Chung, Wan-Gyu Sang

“…These parameters served as predictors in four machine learning regression models (PLSR, RFR, GBR, and XGBR) to estimate yield and its components.ResultsIn panicle segmentation, DeepLabv3+ and LinkNet achieved superior performance (mIoU > 0.81). …”
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VMGP: A unified variational auto-encoder based multi-task model for multi-phenotype, multi-environment, and cross-population genomic selection in plants by Xiangyu Zhao, Fuzhen Sun, Jinlong Li, Dongfeng Zhang, Qiusi Zhang, Zhongqiang Liu, Changwei Tan, Hongxiang Ma, Kaiyi Wang

“…It is particularly advantageous for breeders who prioritize phenotype prediction yet may not possess extensive knowledge in deep learning or proficiency in parameter tuning.…”
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Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Usin... by Yan Zhuang, Junyan Zhang, Xiuxing Li, Chao Liu, Yue Yu, Wei Dong, Kunlun He

“… BackgroundMachine learning models can reduce the burden on doctors by converting medical records into International Classification of Diseases (ICD) codes in real time, thereby enhancing the efficiency of diagnosis and treatment. …”
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Testing an inverse modeling approach with gradient boosting regression for stroke volume estimation using patient thermodilution data by Vasiliki (Vicky) Bikia, Dionysios Adamopoulos, Dionysios Adamopoulos, Dionysios Adamopoulos, Marco Roffi, Marco Roffi, Georgios Rovas, Stéphane Noble, Stéphane Noble, François Mach, François Mach, Nikolaos Stergiopulos

“…This dataset accurately mimics the dynamic characteristics of the 1-D model, allowing for precise SV predictions without resource-intensive parameter adjustments. We evaluated our method against SV values derived from the gold standard thermodilution method in 24 patients. …”
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Artificial intelligence for screening and early diagnosis of pancreatic neoplasms in the context of centralization of the laboratory service in the region by S. I. Panin, V. A. Suvorov, A. V. Zubkov, S. A. Bezborodov, A. A. Panina, N. V. Kovalenko, A. R. Donsckaia, I. G. Shushkova, A. V. Bykov, Ya. A. Marenkov

“…Five different classifiers were used for machine learning. Results. In the course of factor analysis, 11 parameters were selected from 62 laboratory blood parameters, the dynamics of changes in which should be specifically assessed at the stages of screening and early diagnosis of pancreatic neoplasms. …”
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Viscoelastic Characterization of Long-Eared Owl Flight Feather Shaft and the Damping Ability Analysis by Jia-li Gao, Jin-kui Chu, Le Guan, Hai-xin Shang, Zhen-kun Lei

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Mechanical and technological support the efficiency of arid farming by O. A. Ivanov, G. L. Utenkov, T. E. Ivanova

“…The technological process of forming irrigated plots with specified technical parameters was carried out according to the operational and technological evaluation of the machine technology testing. …”
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机构设计与优化在小家电中的应用研究 by 朱秀娟

“…Taking the mechanism design of several typical small household appliances as an example,such as the semi-automatic coffee machine,the cookie machine,the mode of innovative thinking of the mechanism design in the small household appliances is refined,including series combination mechanism,parallel combination mechanism,parallel design of the mechanism.And the explanation of the improvements of the relevant part structure is carried out.Geometric programming design and practice analysis of the most widely using gear transmission are presented,by duality principle,the complicated nonlinear programming is transformed into the simple linear programming,iterative computations are avoided,and the optimal parameters are gotten.…”
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端齿盘的参数设计与应用 by 南欢, 许春香

“…They are widely utilized in machining center, flexible manufacturing system, CNC machine, combined machine tool, measuring instrument, high class intermittent circumferential indexing mechanism, multi working position locating device, as well as other exact registration device. …”
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An Intrusion Detection System Based on Deep Learning and Metaheuristic Algorithm for IOT by Bahman Sanjabi, Mahmood Ahmadi

“…There are important parameters for setting up a machine learning network, and choosing the right value for these parameters has a great impact on system accuracy. …”
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System frequency response model and droop coefficient setting considering renewable energy participation in frequency regulation by Yuyan Song, Yongjie Zhang, Shuai Zhang, Fang Liu, Yunche Su, Yang Liu

“…Furthermore, employing Virtual Synchronous Machine (VSM) technology, these renewable energy units emulate the inertia and droop characteristics of Synchronous Generators (SG), enabling their equivalent modeling alongside traditional generators within a single-machine aggregate model. …”
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Dynamic Analysis of Multi-Stepped Functionally Graded Carbon Nanotube Reinforced Composite Plate with General Boundary Condition by Kwanghun Kim, Songhun Kwak, Yonguk Ri, Yongsong Paek, Wonjin Han, Kumchol Ri

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基于MED-SVM的齿轮箱故障诊断方法 by 刘志川, 唐力伟, 曹立军, 张远刚

“…In order to solve the problem of gearbox fault diagnosis,a new method based on minimum entropy deconvolution（MED）and support vector machine（SVM）is proposed.MED is used for gearbox vibration acceleration signal under background noise,then feature parameters extracted on breadth domain,frequency domain and energy domain of decreased signal are carried out,and the feature vector is built.Taking the feature vector as input,the multi-classification support vector machine is established,and the model parameters optimized by cross validation method are used to identify gearbox fault types.The fault diagnosis result of practical gearbox vibration signals shows that the proposed method can effectively identify different fault types of gear and bearing,and the optimizing model parameters can evidently improve fault identification accuracy.…”
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用于印字模切机的控制式差动无级变速器的结构研究及虚拟装配 by 张淳, 赵越

“…The printing die-cutting machine printing roll and cutting stick can be applied to a variety of templates printing,which requires flexible speed and variable speed range.Therefore,the controlled differential CVT（continuously variable transmission）is coupled to the printing die-cutting machine and use its advantage to reach the desired effect.In the process of device structure,by using Pro/E,the virtual assembly is established to test the accuracy and rationality of the parameters,come true parameterization design and improve the efficiency of model analysis.…”
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Evaluating and Forecasting the Probability of Lightning Occurrence in Rasht City by Afsaneh Ghasemi, Jamil Amanollahi

“…Also, according to the results of the models, the effective parameters to occurrence of lightning in order of Importance are previous day's lightning, temperature, pressure air, relative humidity and cloudy; other parameters are less important. …”
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CRITERIA FOR TOBACCO IDENTIFICATION FOR HOOKAH AND NON-TOBACCO MIXTURE FOR HEATING by M. V. Shkidyuk, S. V. Gvozdetskaya, O. K. Bedritskaya, G. P. Shuraeva

“…The smoking pattern on a laboratory smoking machine does not fully reflect the behavioral profile of a person, however, the quantitative composition of the aerosol obtained from machine testing can be used as input to determine the risk of the product.During the research, laboratory and analytical equipment was used: CERULEAN SM 405 linear smoking machine; "Expert-001-1(0.1)" ionomer, SF-16 spectrophotometer, Crystal 2000M / HP 5890 Series 11 chromatograph with FID.Experimental data have been obtained to evaluate consumer and physic-chemical parameters, including organoleptic evaluation, the content of nicotine, glycerin and propylene glycol in samples of tobacco for hookah / non-tobacco mixture for heating.The method of machine generation and collection of the solid-liquid phase of an aerosol has been standardized, which makes it possible to obtain reliable data on the quantitative content of nicotine in the produced aerosol. …”
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Design and Workspace Analysis of a Differential Motion Rotary Style Breast Interventional Robot by Yongde Zhang, Liyi Sun, Dexian Liang, Haiyan Du

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