Results 131 to 140 of about 42,250 (218)

A Comparative Study of Context‐Aware Modeling Approaches for Specific Heat Load Profiles for Residential Consumers in District Heating Simulations

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Accurate, time‐resolved heat load profiles are essential for realistic district heating simulations, enabling optimized network operation and long‐term transformation planning. In this work, we systematically evaluate modeling approaches for generating such profiles, comparing data‐driven methods (e.g., regression and machine learning) with ...
Johanna Heidrich, Nicolas Krummenauer, Jan Mohring   +2 more
wiley   +1 more source

A Bibliometric Analysis of Process Mining

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
Process mining studies with numbers. ABSTRACT Process mining (PM) has emerged as a pivotal discipline in data science, bridging traditional process analysis with data‐driven techniques to extract actionable insights from event logs. This study conducts a comprehensive bibliometric analysis of 1764 peer‐reviewed articles from the Web of Science database
Seyfullah Tokumaci, Onur Dogan, Oguzhan Ozturk   +2 more
wiley   +1 more source

A Comprehensive Case Study of Wind Energy Production Forecasting in Türkiye Using Enhanced Attention BiLSTM

Wind Energy, Volume 29, Issue 5, May 2026.
ABSTRACT The global demand for electrical energy continues to rise steadily, with Türkiye experiencing particularly significant growth in energy consumption. To address this increasing demand sustainably, renewable energy sources (RES) have become the primary focus, with wind energy (WE) leading the transition.
Mehmet Çeçen, Marco Rivera, Mehmet Yavuz   +2 more
wiley   +1 more source

A Sequence‐to‐Sequence Approach for Short‐Term Temperature Prediction With Data Decomposition and Reconstruction

Natural Resource Modeling, Volume 39, Issue 2, May 2026.
ABSTRACT Temperature is an important factor affecting daily life, and accurate multi‐step temperature prediction can provide essential support for weather prediction, energy management, agricultural planning, and disaster mitigation. However, as the prediction horizon extends, the nonlinear nature of temperature data becomes more prominent, making it ...
Baohe Liu, Jing Sha, Ruonan Liu, Lu Wang, Wenjuan Lian   +4 more
wiley   +1 more source

A novel ensemble ARIMA‐LSTM approach for evaluating COVID‐19 cases and future outbreak preparedness

Health Care Science
Background The global impact of the highly contagious COVID‐19 virus has created unprecedented challenges, significantly impacting public health and economies worldwide.
Somit Jain, Shobhit Agrawal, Eshaan Mohapatra, Kathiravan Srinivasan   +3 more
doaj   +1 more source

Perbandingan Metode SAW dan AHP pada Sistem Pengambilan Keputusan Pemilihan Supplier Berbasis Web dengan Algoritma Regresi ANN dan SVM [PDF]

UD. Berkah Jaya is a cold storage company facing challenges in selecting the appropriate suppliers to meet its stock requirements. Decision Support Systems (DSS) methods such as Simple Additive Weighting (SAW) and Analytical Hierarchy Process (AHP) are ...
Jamalludin, Jamalludin
core  

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches

Therapeutic Apheresis and Dialysis, Volume 30, Issue 2, Page 254-260, April 2026.
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül, Neriman Sıla Koç, Berrak Itır Aylı   +2 more
wiley   +1 more source

Context‐aware UAV LiDAR reveals forest structure and improves tree diameter estimates in subalpine forest

Ecological Solutions and Evidence, Volume 7, Issue 2, April–June 2026.
In this study we show how, in natural forests, tree heights adapt across environmental gradients as a response to environmental and biotic factors. Awareness of such local adaptations can be encoded into predictive features and leveraged by shallow learning methods to enhance predictions of tree diameter and tree‐level aboveground biomass.
Jaime C. Revenga, Stefan Oehmcke, Mana Gharun, Flurin Sutter, Fabian Gieseke, Katerina Trepekli, Nina Buchmann, Alexander Damm   +7 more
wiley   +1 more source

A real‐world data‐driven approach to optimizing enoxaparin dosing in burn patients

British Journal of Clinical Pharmacology, Volume 92, Issue 4, Page 1126-1136, April 2026.
Aim Enoxaparin dosing in burn patients is challenging due to physiological changes affecting absorption, distribution and clearance. The objectives of this study are to develop a population pharmacokinetic (PK) model for enoxaparin in burn patients, evaluate target attainment with current equation‐based (EQ) dosing and propose an optimized dosing ...
Babajide Shenkoya, Venkata Yellepeddi, Ann Marie B. Prazak, Mathangi Gopalakrishnan   +3 more
wiley   +1 more source

Commuting Challenges for Big Cities: How to Tackle Particulate Matter Human Exposure?

CLEAN – Soil, Air, Water, Volume 54, Issue 4, April 2026.
ABSTRACT Air quality in large cities is a global public health issue that has received increasing attention in recent decades. The dynamics of atmospheric pollutant concentrations form a complex system influenced by meteorology, topography, emission sources, and fleet composition, interacting in a nonlinear pattern. We monitored particulate matter (PM)
Marianna Gonçalves Dias Chaves, Camila Ribeiro Schneider, Emílio Graciliano Ferreira Mercuri, Steffen Manfred Noe   +3 more
wiley   +1 more source