Results 151 to 160 of about 33,486 (254)

Machine Learning‐Based PAT Tool for Real‐Time Residual Moisture Monitoring in Lyophilized Biopharmaceuticals Using NIR Spectroscopy

Biotechnology and Bioengineering, EarlyView.
ABSTRACT There is a growing demand in the pharmaceutical industry to optimize analytical methodologies, reducing time and resource consumption while ensuring rapid process development and cost‐efficient manufacturing. Indeed, Food and Drug Administration (FDA) introduced the Process Analytical Technology (PAT) as an initiative enabling manufacturers to
Samuele Fiorenza, Mariapia D'Urso, Ambra Massei, Nunzia Falco, Davide Fissore, Enza Torino   +5 more
wiley   +1 more source

Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm. [PDF]

Front Plant Sci
Wang X, Sun J, Tian P, Wu M, Zhao J, Chen J, Qian Y, Wang C.   +7 more
europepmc   +1 more source

Improvement of APACHE II score system for disease severity based on XGBoost algorithm. [PDF]

BMC Med Inform Decis Mak, 2021
Luo Y, Wang Z, Wang C.
europepmc   +1 more source

Forecasting Airport Passenger Flows Using Mobile Network Data: Insights for Sustainable Mobility and Strategic Infrastructure Planning

Business Strategy and the Environment, EarlyView.
ABSTRACT Airports are strategic and environmental nodes in global transport systems where rapid passenger growth challenges capacity, sustainability, and resilience. This study uses anonymized mobile network data to analyze and forecast passenger dynamics at Lisbon Airport, Portugal, linking data‐driven insights to sustainable mobility and ...
João Carlos Ferreira, Carlos M. P. Sousa, Marco Esperança, Babak Taheri   +3 more
wiley   +1 more source

Correction: Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm. [PDF]

Front Plant Sci
Wang X, Sun J, Tian P, Wu M, Zhao J, Chen J, Qian Y, Wang C.   +7 more
europepmc   +1 more source

Hub Genes Identification, Small Molecule Compounds Prediction for Atrial Fibrillation and Diagnostic Model Construction Based on XGBoost Algorithm. [PDF]

Front Cardiovasc Med, 2022
Yang L, Chen Y, Huang W.
europepmc   +1 more source

Do Banks in the Middle East and North Africa Region Price Carbon Exposure?

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines whether carbon exposure is incorporated into corporate borrowing costs within the Middle East and North Africa (MENA) region. Using a panel of 771 firm‐year observations from publicly listed non‐financial firms between 2016 and 2023, the analysis investigates the relationship between carbon intensity and firms' cost of debt
Yara Ibrahim, Khaled Hussainey, Taghred Mokhtar Sayed Moawad   +2 more
wiley   +1 more source

Development and internal-external validation of a risk prediction model for acute pain after HAIC for patients with liver cancer using logistic regression and XGBoost algorithm. [PDF]

Asia Pac J Oncol Nurs
Cao J, Gong Y, Wang F, Zhang J, Chen C, Cao J, Xie M, Zhao W.   +7 more
europepmc   +1 more source

Construction of Prediction Model of Deep Vein Thrombosis Risk after Total Knee Arthroplasty Based on XGBoost Algorithm. [PDF]

Comput Math Methods Med, 2022
Chen Y, Jiang Y.
europepmc   +1 more source

Using Machine Learning to Predict Corporate Environmental Violation: A Stakeholder Pressure Perspective

Business Strategy and the Environment, EarlyView.
ABSTRACT Predicting corporate environmental violations remains a key challenge in practice and in environmental governance research. However, existing studies have largely focused on ex post associations between stakeholder pressures and realized environmental violations, offering limited insight into whether stakeholder pressures can be used ex ante ...
Xiaolan Chen, Ning Ding, Haodong Jin, Rui Xue, Yuhao Yang   +4 more
wiley   +1 more source