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Experimental investigation of solar PVT collector with the dryer on mass and temperature of dried red chili with Machine Learning Models
Published 2025-09-01“…Machine learning (ML) models, namely the Multilayer Perceptron (MLP), Radial Basis Function (RBF), and Decision Tree (DT), were used to forecast the temperature and mass dryness variables.The RBF model showed the best performance with 0.98, 0.95, and 0.92 for temperature dryness, above MLP and DM. …”
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Natural assets, changes, and variations of the socioeconomic-environmental systems along the Asian drylands belt
Published 2024-01-01“…We found increased variability as well as spikes in extreme values in each of these three measures of SES function among the 23 PEs over the study period. …”
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Internal Benchmarking of Thermal Power Plants оf Electric Power Systems
Published 2020-12-01“…A necessary condition for the feasibility of using these or those integral indicators is their functional and statistical independence. The results of the studies performed using the simulation method made it possible to establish that the smallest correlation occurs between the integral indicator calculated as the arithmetic mean of random variables and the integral indicator calculated as the coefficient of variation of the same random variables. …”
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STRUCTURAL RELIABILITY OPTIMIZATION DESIGN OF REINFORCED SHELL MODEL BASED ON ADAPTIVE SURROGATE MODEL
Published 2024-01-01“…Reinforced shell structure is widely used in aerospace load-bearing structures because its high specific stiffness and specific strength.By considering the uncertainty and risk factors in the structural parameters,the Reliability-Based Design Optimization (RBDO) can avoid the overly conservative design of the structure and ensure its reliability and safety.An efficient RBDO method based on adaptive agent model was proposed.This method solves the problem of lightweight design of reinforced shell structure under buckling reliability constraints.The adaptive addition of sample points was implemented through the expected feasibility function criterion,and the discrete variables was continued by constructing piecewise functions.This increases optimization efficiency while ensuring the reliability of design results.Finally,the effectiveness of the proposed method is verified by comparing the RBDO results with the deterministic optimization results.…”
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Artificial intelligence-driven fuzzy logic approach for optimal well selection in gas lift design: A brown field case study
Published 2025-03-01“…However, selecting suitable wells for gas lift is complex due to the inherent uncertainty and variability in petroleum production data. Traditional decision-making approaches often struggle with this uncertainty, leading to suboptimal choices that can reduce efficiency and increase operational costs. …”
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Optimization of urban spatial planning considering isochrones of transport accessibility: The case of Aktobe city, Kazakhstan
Published 2025-06-01“…Urban areas are characterized by diversity and variability, depending on their size, function, combination of elements, and the spatial distribution of industrial and transport infrastructure. …”
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Identification of quality problems staff vocational training
Published 2020-09-01Get full text
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Carpal tunnel release surgery restores force control but not force coordination in CTS patients
Published 2025-05-01“…Abstract Efficient manipulation of objects is crucial for daily interactions with the world. …”
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Chitosan and its derivatives-based nanostructures in conjunction with their versatile applications in bio-medicine for alleviating contiguous diseases
Published 2025-07-01“…This review focuses on the advent of chitosan-based nanostructures, highlighting their physicochemical characteristics, methods for structural modification, and the functionalization of chitosan into its derivatives, which may aid in understanding its benefits and cellular significance. …”
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THE COMPUTER-AIDED CONTROLLING OF TECHNICAL AND TECHNOLOGICAL PLANTS IN THE WAVELET MEDIUM
Published 2015-03-01“…Methods of formalizing material flows created in certain knots of structure-and-functional diagram of the mixture producing aggregate are considered, that are founded on transforming one-dimensional initial flow signals into multi-dimensional ones. …”
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Multiobjective optimization of Murta (Ugni molinae Turcz) juice lactic acid fermentation with monocultures and cocultures of Lactobacillus acidophilus and Lactiplantibacillus plant...
Published 2025-06-01“…These findings highlight the practical utility of MOO-MCDM for designing efficient multiobjective fermentation processes in functional food development.…”
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Community re-entry program on global functioning and medication adherence among bipolar affective disorder patients- A randomized controlled trial pilot study
Published 2025-07-01“…This quantitative study to explores the effectiveness of community re-entry program on global functioning and medication adherence for patients with bipolar affective disorder. …”
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Matrix Method of Defect Analysis for Structures with Areas of Considerable Stiffness Differences
Published 2025-04-01“…Unlike traditional FEM discretization, which increases computational time calculations due to mesh refinement in stiffness-variable areas, the proposed method maintains a consistent discretization while adjusting shape functions to reflect internal stiffness changes. …”
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Variational quantum algorithm for low-dimensional systems in the Pauli basis
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Structural Damage Identification Using PID-Based Search Algorithm: A Control-Theory Inspired Application
Published 2025-06-01“…We developed finite element programs for a 10-element simply supported beam, a 21-element truss, and a 7-story steel frame, assigning damage factors to each element as design variables. The Relative Frequency Change Rate (RFCR) and Modal Assurance Criterion (MAC) were calculated as objective functions for PSA iteration; comparative studies were then conducted against Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Simulated Annealing (SA) in terms of damage identification accuracy, computational efficiency, and noise robustness. …”
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