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941
Robust IoT Activity Recognition via Stochastic and Deep Learning
Published 2025-04-01“…However, current approaches face significant challenges: sensor data are often noisy and variable, leading to difficulties in reliable feature extraction and accurate activity identification; furthermore, ensuring data integrity and user privacy remains an ongoing concern in real-world deployments. …”
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942
Factors Determining Trade Credit Dynamics During Crisis: Panel Data Analysis for Macedonian Firms
Published 2019-05-01“…The study includes a review of the literature on commercial credit factors; elaborately analyzed descriptive statistics of the collected data and dependent variable variance; tests for unobservable effects and their functional form; evaluation of panel regression and interpretation of the results. …”
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943
Cooperative Control of Interconnected Air Suspension Based on Energy Consumption Optimization
Published 2022-01-01“…The optimal interval for suspension force is obtained through solving cost functions while satisfying a set of constraints on controlled variables and thereby reducing the coupling complexity of a multivariable control system. …”
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944
Model Evaluasi Usability Menggunakan Confirmatory Factor Analysis pada KRS Online
Published 2021-02-01“…Results of usability measurement found that the highest value on the variable "Memory" with an average value of 4.19, and the lowest value on "Error" with an average value of 2.9 within 5 scale. …”
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945
Optimal power flow using recent red-tailed hawk optimization algorithm
Published 2025-03-01“…Optimization can efficiently achieve various objective functions in power systems. …”
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946
fNIRS neurofeedback facilitates emotion regulation: Exploring individual differences over the ventrolateral prefrontal cortex
Published 2025-03-01“…Participants in the experimental group underwent VLPFCNF training over eight sessions across two consecutive days, while those in the sham group received random signals from functional near-infrared spectroscopy (fNIRS). To investigate individual variability, participants in the experimental group were further categorized as high or low-efficacy groups based on their training efficiency, determined by the regression slope of VLPFC activity over the sessions. …”
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947
Comparative Study of the Impact of Corruption on the Human Development Index
Published 2023-10-01“…The reason for this is the significant negative impact of this phenomenon on the standard of living of citizens and the efficiency of the functioning of state bodies. However, the strength of such interaction may differ depending on the country and how conscientiously the employees of its state apparatus carry out their work. …”
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948
Distributionally Robust Variational Quantum Algorithms With Shifted Noise
Published 2024-01-01“…We model the noise level as a random variable with an unknown probability density function (PDF), and we assume that the PDF may shift within an uncertainty set. …”
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949
Predicting heat transfer Performance in transient flow of CNT nanomaterials with thermal radiation past a heated spinning sphere using an artificial neural network: A machine learn...
Published 2024-12-01“…An efficient heat transfer phenomenon using nanofluid have greater challenges in various industries, engineering application the recent trend. …”
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950
Analysis of value-based healthcare (VBHC) framework by incremental cost-effectiveness of surgical and therapeutic interventions: a retrospective study at tertiary private health gr...
Published 2025-08-01“…Abstract Background Rising healthcare costs have led to the adoption of value-based healthcare (VBHC), emphasizing patient outcomes and cost efficiency. This study evaluates VBHC in a tertiary private health group, focusing on cost-effectiveness using the median incremental cost-effectiveness ratio (ICER). …”
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951
MAGNETOHYDRODYNAMICS NANOFERRO FLUID FLOWS PASSING THROUGH A MAGNETIC POROUS SPHERE UNDER THERMAL RADIATION EFFECT
Published 2022-12-01“…The dimensional mathematical model is further transformed into non-dimensional mathematical model by using non-dimensional variables. The non-dimensional mathematical model is simplified using the similarity equation by utilizing the stream function. …”
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952
On optimization of substrate removal in a bioreactor with wall attached and suspended bacteria
Published 2014-05-01“…In the two-objective optimal control problem, the flow rate between the vessels is selected as the control variable.The treatment reactor is modelled by a system of three ordinary differential equations in which a two-point boundary value problem is embedded. …”
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953
Forecasting water quality indices using generalized ridge model, regularized weighted kernel ridge model, and optimized multivariate variational mode decomposition
Published 2025-05-01“…Statistical metrics confirmed that the proposed OMVMD-GRKR model, concerning the best efficiency in the Ahvaz (R = 0.987, RMSE = 0.761, and U95% = 2.108) and Molasani (R = 0.963, RMSE = 1.379, and U95% = 3.828) stations, outperformed the OMVMD and simple-based methods such as ridge regression (Ridge), least squares support vector machine (LSSVM), deep random vector functional link (DRVFL), and deep extreme learning machine (DELM). …”
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954
Design and evaluation of BOOGIE: a collector for the analysis of cloud composition and processes
Published 2025-03-01“…<p>In situ cloud studies are fundamental to study the variability in cloud chemical and biological composition as a function of environmental conditions and assess their potential for transforming chemical compounds. …”
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955
Impact of pulmonary rehabilitation in sleep in COPD patients measured by actigraphy.
Published 2021-01-01“…Paired comparisons (t-test or Wilcoxon-signed-rank test) were performed before and after PR data on all variables.<h4>Methods</h4>This retrospective study of COPD patients undergoing PR utilized actigraphy watch recordings before and after 8-weeks of PR to assess changes in sleep variables including total time in bed (TBT), total sleep time (TST), sleep onset latency (SOL), sleep efficiency (SE), wakefulness after sleep onset (WASO) and total nocturnal awakenings. …”
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956
Supplier Selection and Order Allocation in A Pharmaceutical Wholesaler
Published 2025-05-01“…As part of the system modeling, a sensitivity analysis was performed to explore the effects of specific parameters on the objective function and decision variables, assessing variations in inventory costs, shortage costs, and demand. …”
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957
Parametric Study of Fuel Distribution Effects on a Kerosene-Based Scramjet Combustor
Published 2016-01-01“…The fuel equivalence ratio for each injection port was taken as the design variables. And the combustion efficiency, the total pressure recovery coefficient, and the drag coefficient were chosen as the objective functions. …”
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958
Why is Multi-Business Forestry Needed to Overcome the Low Performance of Forestry Governance and Food Security in Indonesia?
Published 2024-12-01“…Results showed that CLD formulated in 280 sub-models in a total of 4,764 decision variables with an error deviation of 6.4%. The SM Mb-F simulation on two sample concession units produces a projected increase in wood supply, employment, and state revenue, plus the provision of new functions such as food, NTFP, and environmental services. …”
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959
Evaluating the Potential Use of Wearable Fitness Devices as a Measure of Outcomes in Orthopaedics
Published 2024-12-01“…With the rise of wearable fitness devices and smartphone applications, alternative methods are being explored for a more efficient and objective measurement of outcomes. There is a lack of studies directly comparing PROMs with patient wearable outcome (PWO) methods. …”
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960
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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