Results 141 to 150 of about 840,245 (337)

Economic and Technical Assessment of Wind Potential Using SARIMAX Time Series Models: Wind Speed Forecasting and Analysis

Energy Science &Engineering, EarlyView.
The wind energy potential of Khaf was evaluated for 2025 using 15 years of wind data combined with advanced forecasting models, SARIMAX and Prophet. This integrated framework enables precise estimation of wind power density and optimal turbine selection, paving the way for the efficient and sustainable development of wind farms in the region.
Mohammad Amin Valizadeh, Iman Khorsandi Shamir, Abolfazl Ahmadi, Mojtaba Mirhosseini   +3 more
wiley   +1 more source

Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis

Flavour and Fragrance Journal, EarlyView.
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin, Romain Krafft, Sylvain Antoniotti, Sébastien Fiorucci   +3 more
wiley   +1 more source

A Novel Hybrid Learning System Using Modified Breaking Ties Algorithm and Multinomial Logistic Regression for Classification and Segmentation of Hyperspectral Images [PDF]

, 2021
Syed Taimoor Hussain Shah, Shahzad Ahmad Qureshi, Aziz ul Rehman, Syed Adil Hussain Shah, Arslan Amjad, Adil Aslam Mir, Amal Alqahtani, D.A. Bradley, Mayeen Uddin Khandaker, Mohammad Rashed Iqbal Faruque, Muhammad Rafique   +10 more
openalex   +1 more source

Psychosocial and menstrual correlates of premenstrual disorders: A community‐based study

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To assess the background, psychosocial, and menstrual factors associated with premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) in a community‐based cohort. Methods A prospective cohort study was conducted using data from users of a menstrual tracking application.
Shiori Itoi, Makiko Sampei, Takayuki Tatsumi, Yutaka Osuga, Kaori Koga, Satoshi Narumi, Naho Morisaki   +6 more
wiley   +1 more source

Multimetric feature selection for analyzing multicategory outcomes of colorectal cancer: random forest and multinomial logistic regression models

Laboratory Investigation, 2021
Catherine H Feng, M. Disis, Chao Cheng, Lanjing Zhang   +3 more
semanticscholar   +1 more source

Multinomial Logistic Regression Model for Predicting Driver’s Drowsiness Using Only Behavioral Measures [PDF]

, 2015
Atsuo Murata, Kensuke Naitoh
openalex   +1 more source

Cross‐cultural variations in executive function impairments among children with attention deficit/hyperactivity disorder

JCPP Advances, EarlyView.
This study explores the role of culture in executive function (EF) deficits in children with ADHD by comparing Chinese and Australian populations. Using rigorous methodologies such as propensity score matching and consistent diagnostic procedures, the research reveals distinct EF profiles, including a subgroup of Chinese children with severe EF ...
Da‐Wei Zhang, Ameera Shahira Amran, Yishu Qin, Han Jiang, Li Sun, Mark A. Bellgrove, Stuart J. Johnstone   +6 more
wiley   +1 more source

Health status analysis of blood donors: based on the ordinal multinomial logistic regression model

Zhongguo shuxue zazhi
[Objective] To explore the characteristics of lifestyle behaviors and mental health status among blood donors in Guangzhou, and to investigate the correlation between donation frequency and these factors.
FENG Fanfan, XIE Guiyun, DENG Xuecheng, OUYANG Jian, CHEN Chong, HONG Xiaochun, ZENG Sihai, ZHANG Yue, HUANG Manyu, CHEN Jinyan, RONG Xia, LI Shijie   +11 more
doaj   +1 more source

Adolescents' trajectories of mental health in the MYRIAD trial

JCPP Advances, EarlyView.
Abstract Background This study explored adolescent's mental health trajectories over the course of a school‐based mindfulness‐based intervention trial (MYRIAD). It examined whether intervention condition (mindfulness vs. teaching‐as‐usual), individual‐level and contextual‐level factors were associated with different trajectories.
Carolina Guzman Holst, Simona Skripkauskaite, Jack L. Andrews, Jesus Montero‐Marin, Verena Hinze, Tim Dalgleish, Willem Kuyken, MYRIAD team, Lucy Foulkes   +8 more
wiley   +1 more source

Prediction of IPO performance from prospectus using multinomial logistic regression, a machine learning model

Data Science in Finance and Economics
In this study, we investigated and determined the financial indicators that significantly affect the performance of initial public offerings (IPOs) by using the Multi-Logistic Regression (MLR) method based on several financial variables as independent ...
Mazin Fahad Alahmadi, Mustafa Tahsin Yilmaz   +1 more
doaj   +1 more source