Maturity Classification and Quality Determination of Cherry Using VNIR Hyperspectral Images and Comprehensive Chemometrics by Yuzhen Wei, Siyi Yao, Feiyue Wu, Qiangguo Yu

“…To improve the imaging performance, two spectral pretreatment methods (wavelet transform, standard normal variable transformation and detrend), three feature selection methods (successive projection algorithm, genetic algorithm, and shuffled frog leaping algorithm), and four regression modeling methods (principal components regression, partial least squares regression, least square-support vector regression, convolutional neural network) were employed and compared. …”
Get full text

Approximation by interpolation spectral subspaces of operators with discrete spectrum by M.I. Dmytryshyn

“…Applications to spectral approximations of the regular elliptic operators with variable smooth coefficients in the space $L_q(\Omega)$ over an open bounded set $\Omega\subset\mathbb{R}^n$ and some self-adjoint ordinary elliptic differential operators in a bounded interval $\Omega=(a,b)$ are shown.…”
Get full text

Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals. by Antonio Rivero-Juárez, David Guijo-Rubio, Francisco Tellez, Rosario Palacios, Dolores Merino, Juan Macías, Juan Carlos Fernández, Pedro Antonio Gutiérrez, Antonio Rivero, César Hervás-Martínez

“…The parsimony of the model makes it especially attractive, using just eight connections. The independent variable "recent PWID" is compulsory due to its importance. …”
Get full text

True amplitude migration in constant gradient velocity media by Castillo López Luis Antonio

“…<p class="MsoNormal" style="line-height: normal; margin: 0cm 0cm 0pt; mso-layout-grid-align: none;"><span style="font-family: ";Arial";,";sans-serif";; font-size: 12pt; mso-ansi-language: EN-US;" lang="EN-US">The kirchhoff conventional algorithm using ray tracing is based on a constant velocity function. This solution, where is incorporated ray path information into conventional algorithm, can be extended to a variable velocity medium. …”
Get full text

Experimental Study and Damage Model Study of Rock Salt Subjected to Cyclic Loading and Cyclic Creep by Baoyun Zhao, Tianzhu Huang, Liu Dongyan, Dongsheng Liu, Yang Liu, Xiaoping Wang

“…The damage model is obtained by inverse functioning the s function, and then the correction coefficient is added to the model to obtain the modified damage model. …”
Get full text

Experimental Studies of Heat and Moisture Exchange in the Process of Convective Drying of Thin Wet Materials by A. I. Ol’shanskii, S. V. Zhernosek, A. M. Gusarov

“…New ways of experimental data processing by generalized complex variables that are characteristic of the drying process are presented. …”
Get full text

Antigenic characterization of the human immunodeficiency virus (HIV-1) envelope glycoprotein precursor incorporated into nanodiscs. by Kristen C Witt, Luis Castillo-Menendez, Haitao Ding, Nicole Espy, Shijian Zhang, John C Kappes, Joseph Sodroski

“…Here we investigate variables associated with reconstitution of the HIV-1 Env precursor into nanodiscs, nanoscale lipid bilayer discs enclosed by membrane scaffolding proteins. …”
Get full text

Optimization of the Screw Conveyor Device Based on a GA-BP Neural Network by Qiang Guo, Yunpeng Zhuang, Houzhuo Xu, Wei Li, Haitao Li, Zhidong Wu

“…In this paper, we analyze the force and velocity components acting on the straw, give the design principles for the screw’s conveying parameters under the premise of ensuring maximum conveying capacity and minimum power consumption, and determine the optimal design variables, objective functions, and constraints according to the specific optimization problem; we establish a specific mathematical model, and introduce algorithm optimization for nonlinear problems with many variables and large amounts of calculations. …”
Get full text

H-Darrieus Wind Turbine with Blade Pitch Control by I. Paraschivoiu, O. Trifu, F. Saeed

“…The azimuthal variation of the blades' pitch angle is modeled with an analytical function whose coefficients are used as variables in the optimization process. …”
Get full text

Comparing machine learning approaches for estimating soil saturated hydraulic conductivity. by Ali Akbar Moosavi, Mohammad Amin Nematollahi, Mohammad Omidifard

“…Results revealed that all NN models particularly PSO-NNs were efficient in prediction of Kfs. However, further evaluations may be recommended for other soil conditions and input variables to quantify their potential uncertainties and wider potential and versatility before they are used in other geographical locations/soil conditions.…”
Get full text

Analysis of the dynamic impact factor of Song Phan bridge under random loads collected from the Dau Giay weighing station and road management Area IV by Xuan Toan Nguyen, Cong Thuat Dang, Thi Kim Loan Nguyen

“…The research findings indicate that the probability distribution of the random variables is highly complex. Furthermore, the Dynamic Impact Factor corresponding to the overload loads from Road Management Area IV tends to increase and exceeds the dynamic coefficients currently utilized in bridge design standards, according to AASHTO and TCVN 11823-13:2017.…”
Get full text

Assessment of soil fertility and nutrient distribution for enhanced soil health and field management through an innovative approach by Amir Bostani, Amin Mohebbi Tafreshi, Mohammad Hosein Bijeh Keshavarzi

“…Total nitrogen ranged from 0.02% to 0.82%. Highly variable macronutrient variation coefficient. Thus, the critical limits for elements and physicochemical characteristics were 4.5, 6, 0.7, and 0.8 mg/kg. …”
Get full text

Drug Release Analysis and Optimization for Drug-Eluting Stents by Hongxia Li, Yihao Zhang, Bao Zhu, Jinying Wu, Xicheng Wang

“…The diffusion coefficients and the coating thickness are selected as design variables. …”
Get full text

Optimization of ultrasound assisted extraction of sappan (Caesalpinia sappan L) wood for preparation of high quality extract by Moh Djaeni, Setia Budi Sasongko, Devi Yuni Susanti, F Widhi Mahatmanti, Andri Cahyo Kumoro, Laeli Kurniasari

“…High Performance Liquid Chromatography (HPLC) confirmed the presence of brazilin, while Fourier Transform InfraRed (FTIR) analysis indicated the retention of functional groups. UAE was shown to enhance extraction efficiency and preserve phenolic compounds. …”
Get full text

Solid-state analog of gravitational redshift: Transport signatures of massless Dirac fermions in tilted Dirac cone heterostructures by Marziyeh Karmand, Mohsen Amini, Morteza Soltani, Ebrahim Ghanbari-Adivi, Seyed Akbar Jafari

“…A Dirac electron passing through a heterojunction with spatially variable tilt experiences an effective curved spacetime. …”
Get full text

Fault localization for automatic train operation based on the adaptive error locating array algorithm by Yanpeng Zhang, Yuxiang Cao

“…To begin with, according to the characteristics of ATO, the adaptive fault localization model is designed and the test parameter table is constructed. Then the Partial Variable Intensity Covering Array (PVICA) algorithm is used to generate the initial set of test cases, and the cases are executed sequentially. …”
Get full text

A robust deep learning approach for photovoltaic power forecasting based on feature selection and variational mode decomposition by Mokhtar Ali, Abdelkerim Souahlia, Abdelhalim Rabehi, Mawloud Guermoui, Ali Teta, Imad Eddine Tibermacine, Abdelaziz Rabehi, Mohamed Benghanem

“…To further enhance model inputs, Variational Mode Decomposition (VMD) is applied to extract informative Intrinsic Mode Functions (IMFs) from the selected features. A comparative evaluation of the models indicates that recurrent neural networks, particularly GRU and LSTM, deliver superior performance across various metrics, including RMSE, MAE, nRMSE, nMAE, R², and the correlation coefficient. …”
Get full text

Integrating UAV-Based RGB Imagery with Semi-Supervised Learning for Tree Species Identification in Heterogeneous Forests by Bingru Hou, Chenfeng Lin, Mengyuan Chen, Mostafa M. Gouda, Yunpeng Zhao, Yuefeng Chen, Fei Liu, Xuping Feng

Get full text

Testing the Level of Alternative Institutions as a Slowdown Factor of Economic Development: the Case of Montenegro by Mimo Draškovic, Sanja Bauk, Dalia Streimikiene, Veselin Draskovic

“…On the basis of the conducted statistical examines: standard error of the regression estimate, correlation coefficient, and coefficient of determination are calculated on the basis of previously determined regression coefficients and forecast values of the linear function of free variables (factors: a, b, and c). …”
Get full text

Stress Estimation Based on Stochastic Method for Strength Evaluation of Floating Wind Turbines by Byungmo Kim, Beomil Kim

“…Through further research, it is expected that the optimal analysis time for estimating MPM stress can be determined, allowing for efficient structural integrity assessment for FOWT.…”
Get full text