-
4901
Improving air quality prediction using hybrid BPSO with BWAO for feature selection and hyperparameters optimization
Published 2025-04-01“…Machine learning models, including Random Forest (RF), Gradient Boosting (GB), K-Nearest Neighbors (KNN), Multi-Layer Perceptron (MLP), Support Vector Machine (SVM), and Linear Regression (LR), were evaluated before and after feature selection. …”
Get full text
Article -
4902
Genomic prediction in Persian walnut: Optimization levers according to genetic architecture of complex traits
Published 2025-06-01“…Highly heritable traits, such as budbreak date and female flowering date, were predicted with high accuracy (∼0.75) using ridge regression best linear unbiased prediction (rrBLUP). Three key factors influencing GP performance were examined: marker density, prediction model, and training set size. …”
Get full text
Article -
4903
Optimal Allocation of Community Distributed Energy and Storage Based on Regional Autonomous Balance and Sharing Mechanism
Published 2024-12-01“…With the goal of minimizing the total operating cost of the community, the established model is linearized by using the Big-M method and the McCormick method and transformed into a mixed integer linear programming model that is easy to solve. …”
Get full text
Article -
4904
The Reliability of Diagnosing Schizophrenia Using the GRU Layer in Conjunction with EEG Rhythms
Published 2025-07-01“…Results: The RDCGRU framework performs efficiently with alpha-EEG rhythm (88.06%) and harshly with delta-EEG rhythm (60.05%). …”
Get full text
Article -
4905
Electrospun chitosan modified montmorillonite/polyvinyl alcohol nanofibers as suitable coating for fiber-in-tube solid-phase microextraction of trace amounts of tricyclic antidepre...
Published 2025-02-01“…Under optimal conditions, the linear dynamic range for doxepin, and sertraline was found to be 0.08–750.0 ng mL-1; for amitriptyline, desipramine, and trimipramine, it was 10.0–750.0 ng mL-1; and for carbamazepine and maprotiline, it was 50.0–750.0 ng mL-1. …”
Get full text
Article -
4906
Transformer Versus LSTM: A Comparison of Deep Learning Models for Karst Spring Discharge Forecasting
Published 2024-04-01“…Deep learning models can capture complex relationships due to their ability to learn non‐linear patterns. This study evaluates the performance of the Transformer in forecasting spring discharges for up to 4 days. …”
Get full text
Article -
4907
Enzyme-Based Solid-Phase Electrochemiluminescence Sensors with Stable, Anchored Emitters for Sensitive Glucose Detection
Published 2025-05-01“…The sensor exhibited a wide linear range from 10 μM to 7.0 mM and a limit of detection (LOD) of 1 μM (S/N = 3). …”
Get full text
Article -
4908
ESTIMATION OF THE STANDARD GROWTH REGION OF NATIVE TURKEYS (Meleagris gallopavo L.) CALCULATED USING THE RICHARDS EQUATION
Published 2024-10-01“…The weights of 23 male native turkeys were recorded weekly from hatching to 54 weeks of age. Non-linear regression to fit the data to Richards' equation was performed using the free software GeoGebra®. …”
Get full text
Article -
4909
Determination of Discharge Coefficient for both Semicircular and Triangular Labyrinth Weirs
Published 2021-12-01“…It is found that the efficiency of the semicircular and triangular labyrinth is higher than linear weir for (Ht /P ≤ 0.45) and decreases with increasing the value of (Ht /P) due to interference of flow between the layers in downstream. …”
Get full text
Article -
4910
Development of a mathematical model of an autonomous power supply source with a free piston motor on the basis of a synchronous electric returning machine with a permanent magnets
Published 2020-04-01“…Thus, this will allow us to design electric machines with improved energy characteristics, due to the use of the obtained simulation results, which will allow us to use them more efficiently in the composition of generating and drive complexes.…”
Get full text
Article -
4911
Electrosoliton dynamics in a thermalized molecular chain
Published 2020-03-01“…Dynamic equations describing the motion of a one-dimensional electrosoliton in the continuum approximation are a self-consistent system which includes the time-dependent Schrödinger equation with a deformation potential and an inhomogeneous linear wave equation for this potential. This system, known as the Zakharov system, has significance in physics and, generally, describes the nonlinear interaction of two physical subsystems: fast and slow. …”
Get full text
Article -
4912
Development and validation of a green/blue UHPLC-MS/MS method for trace pharmaceutical monitoring
Published 2025-08-01“…This method has been validated and exemplified using a case study from the Kraków area, highlighting its high efficiency, reliability, and minimal environmental impact. …”
Get full text
Article -
4913
Continuous tunability of refractive index contrast in LiNbO3 optical waveguides fabricated by high-vacuum vapor-phase proton exchange
Published 2025-02-01“…Therefore, the presented technique offers the opportunity for customization of photonics circuitry, scalability of integrated photonics platform, enhancement of non-linear optical efficiency at the single photon level for quantum information platforms.…”
Get full text
Article -
4914
The use of a menstrual cup as a risk factor for displacement of intrauterine devices: a case-control study
Published 2025-05-01“…Displacement of an IUD from the uterine fundus can reduce its efficiency, potentially leading to unwanted pregnancies. …”
Get full text
Article -
4915
Robust operation of renewable virtual power plant in intelligent distribution system considering active and reactive ancillary services markets
Published 2025-07-01“…A nonlinear formulation and a linear approximation model are used in this scheme to achieve the optimal solution. …”
Get full text
Article -
4916
Speech Recognition using Wavelets and Improved SVM
Published 2013-09-01“…The proposed SVM approach can convert local Euclidean distances between frame vectors to angles by projecting these -dimensional vectors together, and get the minimum global distance from the non-linear aligned speech path in order to address audio classification, and hence, sound recognition.The DWT for each frame of the spoken word are taken as a tool for extracting the main feature as a data code vectors, next these data is normalized utilizing the normalized power algorithm that is used to reduce the number of feature vector coefficients then these data is scaled and tested with those stored of the training spoken words to achieve the speaker identification tasks, also the DWT gives fixed amount of data that can be utilized modesty by SVM.Finally, the proposed method is tested and trained upon a very large data base with results limited to ten speakers only (5 males and 5 females) with words of maximally 17 phenomena and its performance gives an accurate and stable results which rises the algorithm efficiency and reduce the execution time with 97% overall accuracy. …”
Get full text
Article -
4917
SLIPT-Assisted Dual-Hop VLC/RF With Relay Selection: Outage Probability Analysis and Optimization
Published 2025-01-01“…Moreover, the optimization problem is formulated to minimize the OP performance subject to AC peak value and DC bias to satisfy linear characteristics of the LED operation. To solve the optimization problem, the particle swarm optimization (PSO) algorithm is deployed and modified to attain the optimal solution. …”
Get full text
Article -
4918
Design and Optimization of Wideband Rectangular-Framed Pi-Shaped mmWave Antenna Array for 5G Applications
Published 2024-01-01“…In the process of designing a four-element linear-planar antenna array (LPAA), a thin single antenna element is designed on a 0.275 mm Rogers 5880 substrate with a dielectric constant of 2.2. …”
Get full text
Article -
4919
Barriers and facilitators to scale-up of hospital-at-home: an observational cohort study protocol
Published 2025-06-01“…Linear regression will be applied to assess associations of outcomes with contextual factors that are continuous variables; logistic regression will be applied to assess the associations of outcomes with binary/descriptive contextual factors. …”
Get full text
Article -
4920
Genomic prediction of genotyped and non-genotyped Jeju black cattle using single- and multi-trait methods for carcass traits
Published 2024-12-01“…We employed single-step genomic best linear unbiased prediction (ssGBLUP) and single-step Bayesian regression (SSBR) models, which utilised imputed genotypes for non-genotyped individuals. …”
Get full text
Article