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2221
DESIGNING AND EFFICIENCY EFFECT OF AUTOMATIC BALL-CLEANING SYSTEM FOR CONDENSER 180-KTsS-1 OF TURBINE Т-180/210-130-1 LMZ. Part 1
Published 2015-06-01“…The authors consider developed algorithms of data processing and designed system control of the condenser cleaning that allowed realizing its operation in automatic mode.…”
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2222
Linking Animal Feed Formulation to Milk Quantity, Quality, and Animal Health Through Data-Driven Decision-Making
Published 2025-01-01“…Leveraging advanced analytical techniques, such as machine learning and optimization algorithms, have created highly accurate feed formulations tailored to specific livestock needs. …”
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2223
An Analytical Model of Wavelength-dependent Opposition Surge in Emittance and Reflectance Spectroscopy of Airless Rocky Exoplanets
Published 2025-01-01“…Proper treatment of this effect will lead to improved retrievals of surface albedo, mineralogical composition, and roughness properties. This study establishes a physically consistent framework for exoplanet phase-curve modeling and provides a foundation for future retrieval algorithms aimed at interpreting exoplanet surfaces.…”
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2224
Shotgun metagenomics dataset of the core rhizo-microbiome of monoculture and soybean-precedent carrot
Published 2025-04-01“…More so, the effect of preceding crop and cropping history on the composition and diversity of carrot rhizo-microbiome remains largely unknown. …”
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2225
Criteria for predicting the initiation of rolling contact fatigue damage in the railway wheels and rails
Published 2019-07-01“…The assumptions that are used in the development of the algorithms concerning the models of the contacting bodies, the shape of the contact patch, the distribution of the contact pressures and the tangential forces are considered. …”
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2226
Calculating slope gradient variations in the submarine landforms by R and Python statistical libraries
Published 2019-12-01“…Such methods are proposed by R and Python programming languages that include libraries of machine learning algorithms for the data processing used in this research: {tidyverse}, {ggsignif}, {ggplot} and {magrittr} by R, StatsModels, Matplotlib, NumPy, Pandas and Seaborn by Python. …”
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2227
UNIVERSAL INFORMATION BLOCKS AS PART OF THE DATABASE MANAGEMENT SYSTEM OF THE OPERATIONAL DUTY SHIFT OF THE СONTROL СENTER IN CRISIS SITUATIONS
Published 2019-07-01“…Interfaces of information blocks are included in the composition of each workstation and provide for the processes of: entering, changing, searching and filtering data; Previewing, printing and saving documents. …”
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2228
Cancel Culture di Era Media Baru: Analisis Komunikasi Atas Implikasi Sosial dalam Kasus Overclaim Skincare
Published 2024-12-01“…A phenomenon often found on platforms Cancel culture occurs due to the composition of the rapid dissemination of information and the influence of developing public opinion plus algorithms that apply it until content goes viral on social media. …”
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2229
The role of physical metallurgical relationships in enhancing alloy properties prediction and design: A case study on Q&P steel
Published 2025-03-01“…The designed alloys, with a composition of approximately 0.3 wt.% C, 3 wt.% Mn, 1.2 wt.% Si, and minor amounts of Cr and Al, achieve a UTS exceeding 1500 MPa and TEL near 20%, aligning with PM principles and validating the rationality and feasibility of this method. …”
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2230
ACCELERATING THE FORMATION OF CHILDREN’S VALUES IN A LEARNING ENVIRONMENT
Published 2017-04-01“…The suggested model is particularly suitable for use in multicultural and heterogeneous social composition groups.…”
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2231
SYSTEM OF STABILIZATION OF REACTIVE MAGNETRON SPUTTERING PROCESS
Published 2018-06-01“…The control software allows to flexibly adjust the system (to form control loops, then to assign sensors and actuators in accordance and to choose control algorithms, to set parameters and operating modes of control loops). …”
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2232
Research on Soft-Sensing Method Based on Adam-FCNN Inversion in <i>Pichia pastoris</i> Fermentation
Published 2025-06-01“…Finally, a composite pseudo-linear system is formed by cascading the inverse model with the original system, achieving decoupling and the high-accuracy prediction of key parameters. …”
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2233
A general two-group constants estimator for 17x17 PWR assembly configurations using artificial neural networks
Published 2025-06-01“…The input parameters encompass diverse geometric configurations, material compositions and temperatures, and burnup states. The TensorFlow platform embedded in Keras API has been used to train ANNs. …”
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2234
Rejection-Free Monte Carlo Simulation of QUBO and Lechner–Hauke–Zoller Optimization Problems
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2235
Improvement of RT-DETR model for ground glass pulmonary nodule detection.
Published 2025-01-01“…Model are tested on mixed dataset composed of LIDC-IDRI data and clinical data from cooperating hospitals. Compared to the baseline model, it shows an average precision improvement (mAP50/mAP50:95) of 2.1% and 1.7%, with a reduction parameters by 5.2 million. …”
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2236
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2237
Estimation of Optimum Dilution in the GMAW Process Using Integrated ANN-GA
Published 2013-01-01“…In this study, artificial neural network (ANN) and genetic algorithm (GA) techniques were integrated and labeled as integrated ANN-GA to estimate optimal process parameters in GMAW to get optimum dilution.…”
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2238
New experimental techniques for fracture testing of highly deformable materials
Published 2015-12-01“…Thanks to the implemented algorithm based on a Semi-Global Matching (SGM) approach, it is possible to constraint the regularity of the displacement field in order to significantly improve the reliability of the evaluated strains, especially in highly deformable materials. …”
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2239
COMPARISON OF RANDOM FOREST AND NAÏVE BAYES METHODS FOR CLASSIFYING AND FORECASTING SOIL TEXTURE IN THE AREA AROUND DAS KALIKONTO, EAST JAVA
Published 2022-12-01“…The methods used to classification and predict soil texture with machine learning algorithms are Random Forest (RF) and Naïve Bayes (NB). …”
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2240
A Generalized Shape Function for Vibration Suppression Analysis of Acoustic Black Hole Beams Based on Fractional Calculus Theory
Published 2025-03-01“…To obtain the best parameters of the shape function under various parameters, the Particle Swarm Optimization (PSO) algorithm is employed. The results demonstrate that by selecting appropriate ML parameters and viscoelastic materials, the dissipation characteristics of the structure can be significantly improved. …”
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