An interpretable machine learning model with demographic variables and dietary patterns for ASCVD identification: from U.S. NHANES 1999–2018 by Qun Tang, Yong Wang, Yan Luo

“…Additionally, the poverty income ratio and calorie intake exhibited non-linear associations with the disease. The XGBoost model demonstrated significant efficacy, and precision in determining the relationship between the demographic characteristics and dietary intake of participants in the U.S. …”
Get full text

High-precision speed control of induction motors using a multi-pulse voltage source converter and advanced observer-based strategies by Carlos E. Castañeda, Antonio Valderrabano-Gonzalez, Hossam A. Gabbar, Vijay K. Sood

“…This control algorithm transforms the plant to be controlled to the non-linear block control form by using error-tracking dynamics. …”
Get full text

Violência contra a mulher: um modelo de avaliação de desempenho de políticas públicas by Carlos Felipe de Melo Costa, Claudelino Martins Dias Junior

“…Os resultados demonstraram correlação linear positiva entre as variáveis, sugerindo que as PPs implantadas não resultam em redução no número de ocorrências de VDFcM. …”
Get full text

Assessment of arrhythmias and heart rate response in healthy adolescents performing face immersion and body submersion in ice‐cold water by Anna Lundström, Marcus Karlsson, Annika Rydberg, Urban Wiklund

“…During the first 30 seconds of IWI, boys maintained a steady HR (p = 0.176), while girls experienced a near‐linear reduction (p = 0.009). This study indicates a low risk of severe arrhythmias when briefly immersing the body in ice‐cold water in healthy adolescents. …”
Get full text

Risk assessment & safety performance indicators in designing and constructing phase of Agglomeration Project, Bafgh by naser Hasheminejad, gholamhosein Halvani, mojtaba Moghadasi, farzane Zolala, mahdiye Shafiezadeh

“…In the next step for determining the relationship between the initial risk assessment codes (RAC1) and safety performance indicators (AFR, ASR and FSI), Pearson correlation coefficient was showed an inverse and quite significant relationship between RAC1 and safety performance indicators. Linear regression equation showed that for every one unit increase in RAC1, the AFR, ASR and FSI, was reduced 14.9, 110.37 and 1.24 respectively. …”
Get full text

Electric vehicle charging load prediction method based on multi-objective modal decomposition and NAHL neural network by GUO Xinzhe, WANG Yeqin, WANG Chao, WU Mingjiang, YANG Yan, ZHANG Chu

“…The non-dominated sorting genetic algorithm II (NSGAII) is improved by using the simulated binary crossover (SBX) and linear decreasing mutation (LDM), known as the NSGAII-LDSBX algorithm. …”
Get full text

Drone State Estimation Based on Frame-to-Frame Template Matching with Optimal Windows by Seokwon Yeom

“…The size and location of the windows are obtained by minimizing the sum of the least square errors between the piecewise linear regression model and the nonlinear image-to-position conversion function. …”
Get full text

Accessibility and influencing factors of leisure agriculture demonstration sites in Guangdong Province based on GWR model by Zhenjie Liao, Lijuan Zhang

“…At the same time, through the accessibility calculation formula, OLS linear regression and GWR model, the accessibility, influencing factors and spatial alienation effect of leisure agriculture demonstration sites are systematically explored. …”
Get full text

Estimation of the High-Frequency Feature Slope in Gravitational Wave Signals from Core Collapse Supernovae Using Machine Learning by Alejandro Casallas-Lagos, Javier M. Antelis, Claudia Moreno, Ramiro Franco-Hernández

“…We conducted an in-depth exploration of the use of different machine learning (ML) for regression algorithms, including Linear, Ridge, LASSO, Bayesian Ridge, Decision Tree, and a variety of Deep Neural Network (DNN) architectures, to estimate the slope of the high-frequency feature (HFF), a prominent emergent feature found in the gravitational wave (GW) signals of core collapse supernovae (CCSN). …”
Get full text

What works and what does not work in local entrepreneurship support policy? by Jacek Rodzinka, Tomasz Skica, Elżbieta Ociepa-Kicińska, Rafał Czyżycki

“…To determine the relationship between the type of commune, the instrument used, and the effectiveness of the tool used, we used a generalized reduced gradient non-linear algorithm. Findings: The study results proved that there is no one universal area or instrument that would guarantee with high probability success in the form of an increase in the level of entrepreneurship in a municipality, regardless of its type. …”
Get full text

Optimizing Matrix-Vector Operations With CGLA for High-Performance Approximate k-NN Search by Dohyun Kim, Yasuhiko Nakashima

“…The primary innovation lies in the optimization technique known as IMAX3–a Coarse-Grained Linear Array (CGLA)–which effectively leverages local memory to retain vectors between queries. …”
Get full text

“Optimizing sEMG Gesture Recognition with Stacked Autoencoder Neural Network for Bionic Hand” by Mr. Amol Pandurang Yadav, Dr. Sandip.R. Patil

“…. • Classifier Evaluation: Initial evaluations involved Autoencoder and LDA (Linear Discriminant Analysis) classifiers, with Autoencoder achieving an average accuracy of 77.96 % ± 1.24, outperforming LDA's 65.36 % ± 1.09.Advanced Neural Network Approach: Stacked Autoencoder Neural Network: To address challenges in distinguishing similar gestures within grasp groups, a Stacked Autoencoder Neural Network was employed. …”
Get full text

Cross-social-network user alignment research based on multi-dimensional user features by Tao Zhao, Heng Gao, Zecheng Wang, Dianjie Bi, Xuemin Chen

“…Second, we proposed a new inertia weight calculation method to improve the convergence speed from linear to nonlinear transformations. This method improves the performance of traditional particle swarm optimization algorithms. …”
Get full text

Dynamic allocation of regional shared parking spaces based on assignment problem model by Shuo Zheng, Ruijun Guo

“…The weights of these three indices are calculated using the entropy weight method, and subsequently, the parking cost matrix is derived through linear weighting. It is proposed to utilize the Hungarian Algorithm as a method for solving the assignment problem to obtain the allocation scheme that minimizes total parking costs. …”
Get full text

Generation Capacity Expansion Problem Considering Different Operation Modes of Combined-Cycle Gas Turbines by Hernan Gomez-Villarreal, Miguel Canas-Carreton, Miguel Carrion

“…For doing that, the operation of CCGTs is modeled using a mixed-integer linear formulation that considers different operation modes. …”
Get full text

GEOGRAPHICALLY WEIGHTED PANEL REGRESSION MODELING OF POVERTY RATES IN TROPICAL RAINFOREST AREAS OF KALIMANTAN by Ghina Fadhilla Mumtaz, Suyitno Suyitno, Sifriyani Sifriyani

“…When applied to spatial panel data, the Geographically Weighted Panel Regression (GWPR) model is a localized version of the linear regression model. The Fixed Effect Model (FEM) inside estimator is used as a global model in this investigation. …”
Get full text

3D Modelling approach to identify parametric configurations for pillar stability in underground metal mine: a case study by Abhishek Mehra, G. Budi

“…A detailed investigation utilizing non-linear 3D numerical models, governed by Mohr–Coulomb elastoplastic failure criteria, is conducted by manipulating seven variables: working depth (D), uniaxial compressive strength (σci), modulus of elasticity (Em), geological strength index (GSI), crown pillar thickness (TC), rib pillar thickness (TR), and stope width (WS). …”
Get full text

Dual branch attention network for image super-resolution by Yiwei Hu, Yisu Ge, Mingming Qi, Shuhua Xu

“…Our model features a ”token dictionary” mechanism that uses auxiliary labeling to provide external prior information, enhancing cross-attention and self-attention computations while maintaining a linear relationship between computational complexity and image size. …”
Get full text

Gladiolus cut flower postharvest performance to direct breeding efforts by Neil O. Anderson

“…Gladiolus is an important floricultural and nursery crop used for gardening and floral design. The lengthy, linear stems with large, brightly colored flowers make it a long-term favorite of floral designers. …”
Get full text

Association Between Particulate Matter 2.5 and Breast Cancer Mortality in California—A Place-Based Cross-Sectional Study by Dilpreet Sekhon, Emanuel Alcala, Jaymin Kwon, Jason Bush, Mary A. Garza

“…To investigate the place-based association between BCM and air pollution in middle-aged (45–64) and older-aged women (65+) in California at the zip code level, secondary data were collected from the California Department of Public Health (CDPH) Data and Vital Statistics, CalEnviroScreen 4.0, and the American Community Survey (ACS) from the Census. Multiple linear regression was used to test the significance between air pollution and age-standardized BCM rates. …”
Get full text