A Novel Model for Noninvasive Haemoglobin Detection Based on Visibility Network and Clustering Network for Multi-Wavelength PPG Signals by Lei Liu, Ziyi Wang, Xiaohan Zhang, Yan Zhuang, Yongbo Liang

Subjects: Get full text

STATISTICAL ASSESSMENT OF THE INFLUENCE OF THE INVESTMENT IN INFRASTRUCTURE COMPLEX ON ECONOMIC SITUATION IN THE REGION by Nina A. Malinovskaya, Ekaterina Ts. Chimitdorzhieva

Get full text

Effects of land use patterns on soil physical and thermal properties in basement complex and sedimentary areas of Ogun State, Nigeria by Saheed Adekunle Ganiyu, Taiye Ayuba Ishola, Oluwaseun Tolutope Olurin, Biodun Suraj Badmus, Mutiu Abolanle Busari

Subjects: “…Basement complex area…”
Get full text

Kernel Negative ε Dragging Linear Regression for Pattern Classification by Yali Peng, Lu Zhang, Shigang Liu, Xili Wang, Min Guo

“…Linear regression (LR) and its variants have been widely used for classification problems. …”
Get full text

Advancing Sustainable Road Construction with Multiple Regression Analysis, Regression Tree Models, and Case-Based Reasoning for Environmental Load and Cost Estimation by Joon-Soo Kim

“…The research employs multiple regression analysis, regression tree models, and case-based reasoning (CBR) to estimate these critical parameters at both the planning and design stages. …”
Get full text

Handling missing data in complex surveys: A case study of children’s functional disorders and their correlates by Mohyaldein Salih, Ali Satty, Henry Mwambi

“…Studies based on complex survey designs often overlook the importance of rigorous statistical analysis, particularly with regard to sampling design and the handling of missing data. …”
Get full text

LVH REGRESSION UNDER LONG-TERM HYPOTENSIVE TREATMENT by L. A. Leshinsky, E. G. Goldina, I. V. Logacheva, R. M. Valeeva, N. I. Maximov

“…We have established complex therapy for a year to promote complete and earlier beginning LVH regression compared to monotherapy with enalapril.…”
Get full text

Population attributable fraction of risk factors for anemia among children aged 6-59 months: A multilevel complex data analysis using modified poisson regression model in Sub-Saharan Africa. by Meklit Melaku Bezie, Beminate Lemma Seifu, Hiwot Altaye Asebe, Angwach Abrham Asnake, Yohannes Mekuria Negussie, Zufan Alamrie Asmare, Mamaru Melkam, Bezawit Melak Fente

Get full text

Assessment of whole-genome regression for type II diabetes. by Ana I Vazquez, Yann C Klimentidis, Emily J Dhurandhar, Yogasudha C Veturi, Paulino Paérez-Rodríguez

“…We assessed and compared Whole Genome Regression methods to predict the T2D status of 5,245 subjects from the Framingham Heart Study. …”
Get full text

Barrier distribution extraction via Gaussian process regression by Godbey Kyle

“…The GPR approach offers a flexible way to represent the experimental data, accommodating potentially complex behavior without introducing strong prior assumptions. …”
Get full text

Nonlinear Survival Regression Using Artificial Neural Network by Akbar Biglarian, Enayatollah Bakhshi, Ahmad Reza Baghestani, Mahmood Reza Gohari, Mehdi Rahgozar, Masoud Karimloo

“…In model building, choosing an appropriate model depends on complexity and the characteristics of the data that effect the appropriateness of the model. …”
Get full text

Regression for Astronomical Data with Realistic Distributions, Errors, and Nonlinearity by Tao Jing, Cheng Li

“…We have developed a new regression technique, the maximum likelihood (ML)–based method and its variant, the Kolmogorov–Smirnov (KS) test–based method, designed to obtain unbiased regression results from typical astronomical data. …”
Get full text

Modeling the density of chlorinated brines with nonlinear multivariate regressions by Mauricio Sepúlveda, Thierry Bertrand De Saint Pierre Sarrut, Andrés Soto-Bubert, Rashmi Bhardwaj, Roberto Acevedo

“…Nevertheless, some techniques enable modeling ''interpretable'' regressions for multivariate and nonlinear data. These include Symbolic Regression, M5P trees, and the MARS method. …”
Get full text

Full-span named entity recognition with boundary regression by Junhui Yu, Yanping Chen, Qinghua Zheng, Yuefei Wu, Ping Chen

“…To recognise full-span named entities, span-based models should enumerate and verify all possible entity spans in a sentence, which leads to serious problems regarding computational complexity and data imbalance. In this study, we propose a boundary regression model to support full-span named entity recognition, where a regression operation is adopted to refine spatial locations of entity spans in a sentence. …”
Get full text

Explaining drivers of housing prices with nonlinear hedonic regressions by Heng Wan, Pranab K. Roy Chowdhury, Jim Yoon, Parin Bhaduri, Vivek Srikrishnan, David Judi, Brent Daniel

“…However, traditional hedonic regressions for housing prices, which neglect nonlinear interactions among explanatory variables, often exhibit limited predictive performance. …”
Get full text

SEGREGATION MODELS OF COMPLEX QUANTITATIVE TRAITS AND LINKAGE ANALYSIS IN EXTENDED RECOMBINANT INBRED CROSSES by M. S. Diakov, A. V. Osadchuk

Subjects: Get full text

Neural network-based classification and regression of magnetohydrodynamic modes in tokamaks by L. Bardoczi, K. Won, N.J. Richner, A.C. Brown, D. Chow, P. Li, J. Monahan

“…We present a machine learning-based magnetohydrodynamic (MHD) classifier and regressor that utilizes real or complex-valued 3D magnetic sensor array data to determine neoclassical tearing mode (NTM) onset times in tokamaks with millisecond accuracy. …”
Get full text

Hyperbox Mixture Regression for process performance prediction in antibody production by Ali Nik-Khorasani, Thanh Tung Khuat, Bogdan Gabrys

“…This paper addresses the challenges of predicting bioprocess performance, particularly in monoclonal antibody (mAb) production, where conventional statistical methods often fall short due to time-series data’s complexity and high dimensionality. We propose a novel Hyperbox Mixture Regression (HMR) model that employs hyperbox-based input space partitioning to enhance predictive accuracy while managing uncertainty inherent in bioprocess data. …”
Get full text

Real-time prediction of the rate of penetration via computational intelligence: a comparative study on complex lithology in Southwest Iran by Mohammad Najafi, Yousef Shiri

“…In this study, five methodologies, including three artificial intelligence models (artificial neural networks [ANNs], support vector regression [SVR], random forest [RF]), a physical model, and a hybrid model, were evaluated for their ability to estimate the ROP on the basis of drilling data from a complex lithological area. …”
Get full text

Learning While Learning: Psychology Case Studies for Teaching Regression by Ciaran Evans, Alex Reinhart, Erin Cooley, William Cipolli

“…Both datasets (and their original research papers) are accessible to students, and because of their context, students can learn about data collection, measurement, and the use of statistics when studying complex social topics, while using the data to learn about regression analysis. …”
Get full text