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81
The Model of Fundamental Chemical Training of Bachelors of Technical and Technological Directions in the Conditions of Blended Learning
Published 2019-07-01“…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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82
Crop classification with deep convolutional neural network based on crop feature
Published 2022-12-01“…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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83
Estimation of Total Suspended Solids Concentration in Streams Using Regression and Artificial Neural Networks Methods
Published 2023-01-01“…Root mean square error, mean absolute error, and Nash-Sutcliffe (NS) efficiency coefficient statistics were used to evaluate the model and method performances. …”
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84
Structural network topologies are associated with deep brain stimulation outcomes in Meige syndrome
Published 2024-07-01“…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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85
Impact of coffee exports on economic growth in Ethiopia; An empirical investigation
Published 2022-12-01“…The study employed an extended generalized Cobb–Douglas production function model using data from the National Bank of Ethiopia and World Bank data base from 1980 to 2017. …”
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86
Predictive model of small choroidal melanoma progression after eye-saving treatment based on clinical, morphometric and immunological parameters
Published 2022-03-01“…A formula was calculated where P (z) is the value of the logistic function; Z, linear combination of symptoms; bo , intercept (free term), bi – regression coefficients for parameters Zi.P (z) = 1 : 1 + e – b0– b1z1– b2z2– b3z3– b4z4The logistic function increases monotonically and takes the values from 0 to 1 for any b and Z values [P∈ (0;1)]. …”
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87
THE USE OF CORRELATION ANALYSIS OF TWO-DIMENSION STOCHASTIC PROCESS FOR HELICOPTER MAINTENANCE WORKABILITY ESTIMATION
Published 2017-03-01“…The linear correlated dependence is considered as linear or anyconnection close to it between two variables for which the correlated analysis theorem is true.The algorithm of calculated program complex for helicopter maintenance workability estimation consists of five steps: choice of equipment that needs to be installed on the helicopter; correlation coefficient calculation for helicopters having this equipment and revealing of optimal variants of location; zone partition of the developed helicopter and analysis of possi- ble disposal of clusters in optimal order; disposal of clusters on the designed helicopter; correlation coefficient calculation, direct regression construction for the designed helicopter and comparison of these readings with helicopters-analogues. …”
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88
Influence of structural surface roughness on the strength of layered fill bodies based on PFC2D
Published 2025-05-01“…The relationship between cemented surface roughness and backfill strength is examined by analyzing variables such as cemented surface roughness, mass fraction of slurry, cement-to-sand ratio, and filling interval time. …”
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89
A simple model of the rheological curve of HPAM solutions at different temperatures
Published 2024-12-01“…The solvent viscosity and relaxation time-employed as references to define these parameters-are functions of temperature. On the master surface, while the power coefficient of Carreau-Yasuda (n) exhibits only a slight dependency on temperature, the relative viscosity depends monotonically on this variable. …”
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90
Creating Balance on Bandwidth Consumption using Network Coding in Wireless Sensor Networks
Published 2024-02-01“…For this purpose, we need to calculate the derivative of the Lagrangian function relative to its variables, in order to determine the condition as a multi-excited multi-equation device. …”
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91
Slow and Quick Flow Models Explain the Temporal Dynamics of Daily Salinity in Streams
Published 2025-06-01“…Compared to the simple C‐Q equation, this equation explained the temporal dynamics with an average increase of 0.17 in the Nash‐Sutcliffe efficiency coefficient. Global parameter estimation gave an objective estimate of baseflow with a plausible baseflow index ranging between 0.05 and 0.40 across catchments. …”
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92
A Novel Multi-Dynamic Coupled Neural Mass Model of SSVEP
Published 2025-03-01“…Specific parallel linear transformation functions were designed based on SSVEP frequency responses, and weight coefficient matrices were determined according to the frequency band energy distribution under different visual stimulation frequencies in the pre-recorded SSVEP signals. …”
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93
Implications of thermal stratification and radiative heat flux in blood-based ternary and dihybrid nanomaterial flow through a stretchable cylinder
Published 2025-09-01“…Non-dimensional mathematical model representing the physical phenomenon is solved through NDSolve function of Mathematica. Behavior of micropolar THNF and HNF velocity and thermal field versus influential variables are investigated. …”
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94
APPLICATION OF HYBRID RANDOM SEARCH METHOD TO OPTIMISATION OF ENGINEERING SYSTEMS’ PARAMETERS
Published 2018-07-01“…These problems belong to the class of constrained global optimization problems, where the level surface of the objective function has uneven relief and there is a large number of variables. …”
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95
Evaluating the Effectiveness of Quality Control Measures in Project Management: A Study of Construction Companies in Lusaka
Published 2025-03-01“…A solid positive relationship appeared between how well technology supports quality control and general quality control practices (Pearson coefficient = 0.893). Quality control measures improve the efficiency of construction projects, but they should be further improved as many projects still get delayed as a result of quality issues. …”
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96
Respiratory Muscle Strength as a Predictor of VO2max and Aerobic Endurance in Competitive Athletes
Published 2024-10-01“…These findings suggest that respiratory muscle strength plays a more substantial role in determining VO<sub>2</sub>max in individuals with higher ventilatory efficiency, highlighting the importance of both respiratory strength and breathing efficiency in aerobic performance. …”
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97
Stability and Optimal Control Analysis for a Fractional-Order Industrial Virus-Propagation Model Based on SCADA System
Published 2025-04-01“…As is known to all, there is no unified method to establish a Lyapunov function. In this paper, by constructing an appropriate Lyapunov function and applying the method of undetermined coefficients, we prove the global asymptotic stability for all possible equilibrium points. …”
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98
Greening concept in inventory system for deteriorating items with preservation investment and price and stock dependent demand via marine predators algorithm
Published 2025-08-01“…The resulting objective function is highly nonlinear and complex. To solve it efficiently, this study employs the Marine Predators Algorithm (MPA)—a newly developed metaheuristic algorithm well-suited for continuous, nonlinear optimization. …”
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99
The effects of IT capability and distribution competence on business performance of retailers in Omnichannel
Published 2025-03-01“…Results: Information technology capability and distribution competence have a direct impact on business performance, with beta coefficients of 0.198 and 0.271, respectively. Meanwhile, the regression coefficients of indirect relationships through mediating variables are 0.204 and 0.097, respectively. …”
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100
Comparison of river and drinking water quality of infiltration intakes based on statistical colour data
Published 2025-01-01“…A significant contribution (79 to 89%) to the variation of the indicator in drinking water is made by random variable. Correlation coefficients calculated from monthly averages revealed a weak relationship (on the Cheddock scale) between river and drinking water colour, whereas correlation coefficients calculated from monthly averages of colour in the model year characterise the relationship at IWI1 as high and very high at IWI2. …”
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