Results 91 to 100 of about 32,654 (268)

From HBV to MASLD Cirrhosis: Mechanistic Insights and Therapeutic Strategies

Portal Hypertension &Cirrhosis, EarlyView.
This review examines the epidemiological shift from hepatitis B virus (HBV) to metabolic dysfunction‐associated steatotic liver disease (MASLD) as the leading cause of cirrhosis globally. It highlights the distinct pathogenic mechanisms between HBV and MASLD cirrhosis and discusses evolving diagnostic tools and therapeutic strategies tailored to the ...
Hanqi Yu, Hongfan Ding, Yang Huang, Haoze Cao, Yuan Ding, Weilin Wang   +5 more
wiley   +1 more source

Fetal health classification with predictive algorithm by using Ensemble Model [PDF]

ITM Web of Conferences
Fetal health assessment is essential for ensuring the well-being of both the mother and fetus during pregnancy. Cardiotocography (CTG) is a widely used technique that monitors fetal heart rate (FHR) patterns and uterine contractions, providing critical ...
Devi V. Sowmya, Kancharakuntla Manoj Reddy, Paleti Goutam Nayudu, Madhunala Akash   +3 more
doaj   +1 more source

ENHANCING LOAN APPROVAL DECISION-MAKING: AN INTERPRETABLE MACHINE LEARNING APPROACH USING LIGHTGBM FOR DIGITAL ECONOMY DEVELOPMENT

MALAYSIAN JOURNAL OF COMPUTING
This study aims to enhance loan approval decision-making in the digital economy using an interpretable machine learning approach. The primary research question investigates how integrating an interpretable machine learning approach can improve the ...
T. R. Noviandy, Ghalieb Mutig Idroes, Irsan Hardi   +2 more
semanticscholar   +1 more source

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo, Zhibo Zhang, Xuzhe Ma, Lin Li, Hailing Zhou, Chaojie Li, Huadong Mo   +6 more
wiley   +1 more source

Robust Decision Trees Against Adversarial Examples

, 2019
Although adversarial examples and model robustness have been extensively studied in the context of linear models and neural networks, research on this issue in tree-based models and how to make tree-based models robust against adversarial examples is ...
Boning, Duane, Chen, Hongge, Hsieh, Cho-Jui, Zhang, Huan   +3 more
core  

How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management: An Overview From Treatment to Distribution

Sustainable Development, EarlyView.
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi, Feihong Liang, Francesco Marinello, Andrea Pezzuolo   +3 more
wiley   +1 more source

Predicting Antibiotic Resistance in ICUs Patients by Applying Machine Learning in Vietnam

Infection and Drug Resistance, 2023
Viet Tran Quoc,1 Dung Nguyen Thi Ngoc,2,3 Trung Nguyen Hoang,4 Hoa Vu Thi,4 Minh Tong Duc,4 Thanh Do Pham Nguyet,2 Thanh Nguyen Van,5 Diep Ho Ngoc,2 Giang Vu Son,6 Thanh Bui Duc7 1Intensive Care Unit, Military Hospital 175, Ho Chi Minh City, Vietnam ...
Tran Quoc V, Nguyen Thi Ngoc D, Nguyen Hoang T, Vu Thi H, Tong Duc M, Do Pham Nguyet T, Nguyen Van T, Ho Ngoc D, Vu Son G, Bui Duc T   +9 more
doaj  

The Optuna–LightGBM–XGBoost Model: A Novel Approach for Estimating Carbon Emissions Based on the Electricity–Carbon Nexus

Applied Sciences
With the challenge posed by global warming, accurately estimating and managing carbon emissions becomes a key step for businesses, especially power generation companies, to reduce their environmental impact.
Yu Cai, Jianxin Feng, Yanqing Wang, Yuanming Ding, Yue Hu, Hui Fang   +5 more
semanticscholar   +1 more source

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source

Predictive algorithms for supply chain management: a comprehensive approach to forecasting delivery times and managing risk

Journal of Modern Science
The article delves into the challenges of delivery time management in today's business landscape. The authors underscore the need for precise delivery time forecasts, a key factor in maintaining a competitive edge and meeting customer expectations.
Dariusz Woźniak, Michał Warszycki, Józef Stokłosa, Rafał Szrajnert, Robert Chmura   +4 more
doaj   +1 more source