Crop classification with deep convolutional neural network based on crop feature by Mohamad Reza Gili, Davoud Ashourloo, Hosein Aghighi, Ali Akbar Matkan, Alireza SHakiba

“…Due to the spectral overlap of the crops in some time periods, network training was associated with a relatively high loss and therefore, for the test area, the overall classification accuracy was 69% (percent) and the kappa coefficient was 0.55. In the next step, the functions that were developed as phenological features for crops were applied on the time series of the bands, and for each crop, a feature channel was obtained as the special feature of that crop. …”
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Development of a clinical decision support tool for Primary care Management of lower Urinary tract Symptoms in men: the PriMUS study by Adrian Edwards, Ridhi Agarwal, Janine Bates, Alison Bray, Sarah Milosevic, Emma Thomas-Jones, Michael Drinnan, Marcus Drake, Peter Michell, Bethan Pell, Haroon Ahmed, Natalie Joseph-Williams, Kerenza Hood, Yemisi Takwoingi, Chris Harding

“…Multiple imputation by chain equations was used to handle missing data and fractional polynomial functions were used to fit continuous variables. The discriminative ability of the models was assessed using the c-index, and calibration was assessed using calibration plots and the calibration slope. …”
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Effect of electrostatic and intermolecular forces on free small vibrations of a micro-cantilever by Геннадий Иванович Михасев, Вячеслав Владимирович Мисник, Марина Георгиевна Ботогова

“…The derived governing equation with variable coefficients is solved using both the asymptotic approach and the Runge – Kutta method. …”
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Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

“…This study investigates the operational efficiency of the lab-scale oxidation ditch (OD) functioning in simultaneous nitrification and denitrification modes, focusing on forecasting biochemical oxygen demand (BOD₅) concentrations over a five-day horizon. …”
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Test–retest reliability and validity in lower limb proprioception tests using image capture technique in healthy adults by Aisuke Takahashi, Hikaru Kawana, Katsuhiro Furukawa

“…In statistical analysis, the test–retest reliability and construct validity were evaluated using intraclass correlation coefficients (ICC) and Spearman’s rank correlation coefficients. …”
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Analysis of Surface Roughness and Machine Learning-Based Modeling in Dry Turning of Super Duplex Stainless Steel Using Textured Tools by Shailendra Pawanr, Kapil Gupta

“…One of the most critical aspects of turning, and machining in general, is the surface roughness of the finished product, which directly influences the performance, functionality, and longevity of machined components. …”
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The Model of Fundamental Chemical Training of Bachelors of Technical and Technological Directions in the Conditions of Blended Learning by N. M. Vostrikova

“…The concept and the structural-functional model of the fundamental chemical training of bachelors in the information-and-activity-based educational environment of blended learning have been proposed. …”
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Dynamics of a Nonlinear Energy Harvesting System in Time-Delayed Feedback Control under Stochastic Excitations by Shuling Zhang, Ying Zhang, Zhongkui Sun, Xiaxia Duan

“…An equivalent decoupling system can be obtained by using a variable transformation. Based on the standard stochastic averaging method, the Fokker–Plank–Kolmogorov equation and the stationary probability density functions of the amplitude, displacement, and velocity of the harvester are obtained, respectively. …”
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Structural Integrity and Life Assessment of Ti-6Al-4V Orthopaedic Implants by Katarina Čolić, Svetlana M. Kostić, Simon Sedmak, Nenad Gubeljak, Aleksandar Grbović

“…In X-FEM, the finite element space is enriched with discontinuity functions and asymptotic functions at the crack tip, which are integrated into the standard finite element approximation using the unity division property. …”
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Deep learning algorithm on H&E whole slide images to characterize TP53 alterations frequency and spatial distribution in breast cancer by Chiara Frascarelli, Konstantinos Venetis, Antonio Marra, Eltjona Mane, Mariia Ivanova, Giulia Cursano, Francesca Maria Porta, Alberto Concardi, Arnaud Gerard Michel Ceol, Annarosa Farina, Carmen Criscitiello, Giuseppe Curigliano, Elena Guerini-Rocco, Nicola Fusco

“…The DL model exhibited high accuracy in tissue quantification and TP53 status prediction, outperforming traditional methods in terms of precision and efficiency. DL-based approaches offer significant promise for enhancing biomarker testing and precision oncology by reducing intra- and inter-observer variability, but further validation is required to optimize their integration into real-world clinical workflows. …”
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Mediating Effects of Stakeholders and Supervision on Corporate Social Responsibility by Fenghua Wang, Janice Lo, Monica Lam

“…All the standardized path coefficients (β) of direct effects from institutional pressures, market/societal pressures, and structural support to corporate social responsibility benefits are less than 0.1. …”
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Faktor-Faktor yang Mempengaruhi Auditor Switching dengan Financial Distress sebagai Pemoderasi by Herninda Pitaloka, Agung Guritno

“…The analysis included descriptive statistical tests, model feasibility tests, classification matrix tests, the formation of logistic regression functions, partial parameter significance tests, simultaneous parameter significance tests, coefficients of determination tests and MRA tests. …”
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Bearing Fault Diagnosis under Transient Conditions: Using Variational Mode Decomposition and the Symmetrized Dot Pattern-Based Convolutional Neural Network Model by Jide Jia, Jianmin Mei, Chuang Sun, Fengjuan Yang

“…To eliminate the noise components, VMD was used to decompose the vibration signal into different frequency bands to obtain the intrinsic mode functions (IMFs), which were further represented by SDP images, and feature images were extracted according to the noncorrelation coefficient. …”
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THE STRUCTURE OF HAPPINESS REPRESENTATION FOR RUSSIAN AND AMERICAN REPRESENTATIVES by S. Yu. Zhdanova, A. V. Pecherkina, A. A. Strokanov

“…Statistical analysis of the data was based on the use of the coefficient of φ-angular Fisher transform, correlation coefficient φ, and cluster analysis.Results and scientific novelty. …”
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Structural network topologies are associated with deep brain stimulation outcomes in Meige syndrome by Bin Liu, Zhiqi Mao, Xinyuan Yan, Hang Yang, Junpeng Xu, Zhebin Feng, Yanyang Zhang, Xinguang Yu

“…The results indicated that HIG showed a higher clustering coefficient, longer characteristic path length, lower small-world index, and lower global efficiency compared with LIG. …”
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Machine learning-driven benchmarking of China's wastewater treatment plant electricity consumption by Minjian Li, Chongqiao Tang, Junhan Gu, Nianchu Li, Ahemaide Zhou, Kunlin Wu, Zhibo Zhang, Hui Huang, Hongqiang Ren

“…To overcome the complexity of wastewater compositions, an unsupervised machine learning algorithm, spectral clustering, is introduced to analyze 2,576 WWTPs across China, effectively characterizing influent quality as a single variable and contributing to robust benchmarks with 75 % of the fittings achieving coefficients of determination (R2) >0.85. …”
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Influence of Customer Intimacy Strategy on Organisations’ Competitiveness in Tier III Category of Commercial Banks in Kenya by Alfayo Odongo Wamburi, Lucy Kibe, Henry Yatich

“…Proportionate stratified random sampling ensured representativeness based on management staff functions. Regression analysis revealed a strong positive correlation (R = 0.822) between the Customer Intimacy Strategy and Organisational Competitiveness, explaining 67.5% of the variability. …”
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REVIVAL OF TOURISM DEMAND IN THE POST COVID-19 PANDEMIC PERIOD - A STATISTICAL OVERVIEW IN ROMANIA by Agatha POPESCU, Cristina TINDECHE, Alina MARCUTA, Liviu MARCUTA, Adelaida HONTUS, Mirela STANCIU, Daniela-Mirela PLESOIANU

“…Dynamics of the tourist arrivals and overnight stays involved to establish the trend using polynomial regression functions and determination coefficient. The results showed that the recovery of the tourist flow from its lowest level registered in 2020, the worst year of tourism during the pandemic, needed three years to attain a higher performance than in 2019, a year which was considered the peak in Romania's tourism. …”
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UDDER MEASUREMENTS AT "ALBA DE BANAT" AND "CARPATINA" GOATS BREEDS by Rodica CHETROIU

“…The primary data obtained was statistically processed using statistical functions available in Microsoft Excel and the main statistical parameters were determined: arithmetic mean, standard error of mean and variability coefficient. …”
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Activity of the photosynthetic apparatus and productivity of transgenic winter wheat plants with partial suppression of the proline dehydrogenase gene by Galyna Priadkina, Oksana Dubrovna, Serhiy Sytnyk, Maksym Tarasiuk

“…At this phase, they had a higher effective quantum yield (ϕPSII) by 16–28 %, the coefficient of photochemical quenching (qP) by 23–26 % and the fraction of open reaction centers (qL) by 28–61 % of photosystem II (PSII). …”
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