Results 71 to 80 of about 7,207 (210)
Do Economic and Financial Determinants Drive Sustainable Development? Evidence From Nordic Countries
ABSTRACT This study explores the relationships among productivity, financial development, financial globalization, economic freedom, and CO2 emissions in the Nordic countries Denmark, Finland, Iceland, Norway, and Sweden over the period 2000–2022. The primary aim of the study is to assess how economic and financial indicators influence environmental ...
Nazli Demirtaş +3 more
wiley +1 more source
Underwater Image Segmentation with the GMM (Gaussian Mixture Model) Algorithm
The purpose of this study was to measure the performance of Gaussian Mixture Model (GMM) technique for underwater image segmentation of seagrass objects based on datasets from autonomous surface vehicles (ASV from the Faculty of Fisheries and Marine Sciences, Bogor Agricultural University.
openaire +1 more source
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
This study addresses the redundancy problem caused by an excessive number of components in Gaussian mixture models (GMMs) in practical applications, as well as the derivative issues such as overfitting and exponential growth of computational complexity, and proposes a component reduction method based on the GMM multi-scale mixture compression model ...
Linwei Zhang +3 more
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Multi‐level fatigue reliability assessment of reinforced concrete railway bridges
Abstract This paper presents a multi‐level reliability framework for assessing the fatigue life of reinforced concrete (RC) railway trough bridges subjected to cyclic loading. The framework incorporates increasing levels of analytical complexity and real‐world data in four steps. First, an analytical model applies S–N curves and the Palmgren–Miner rule
Silvia Sarmiento +7 more
wiley +1 more source
Environmental effects often cause variability in dynamic features, obscuring actual damage indicators and leading to false alarms in damage detection.
Jie-zhong Huang +4 more
doaj +1 more source
Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor
ABSTRACT Dynamic multiobjective optimisation problems (DMOPs) are optimisation problems with multiple conflicting objectives that can change over time. Most dynamic multiobjective optimisation evolutionary algorithms (DMOEAs) attempt to estimate Pareto‐optimal sets (PS) directly in the decision space.
Kai Gao, Lihong Xu
wiley +1 more source
Bayesian Mixture Model for Prediction of Bus Arrival Time
Providing travelers with accurate bus arrival time is an essential need to plan their traveling and reduce long waiting time for buses. In this paper, we proposed a new approach based on a Bayesian mixture model for the prediction.
Misbahuddin, Riri Fitri Sari
doaj +1 more source
From atoms to a data bank: optimizing transferability of electron‐density symmetry
This work focuses on the electron density of atoms modeled with a multipolar approach. We investigate how the refinement of the multipole models with/without symmetry constraints and optimization of the orientation of the local coordinate system and pseudosymmetry assignment improves the accuracy of electron‐density representations for atoms and atom ...
Paulina Maria Rybicka +3 more
wiley +1 more source

