Results 71 to 80 of about 7,263 (222)

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
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, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

Data on MRI brain lesion segmentation using K-means and Gaussian Mixture Model-Expectation Maximization

Data in Brief, 2019
The data in this article provide details about MRI lesion segmentation using K-means and Gaussian Mixture Model-Expectation Maximization (GMM-EM) algorithms.
Ju Qiao, Xuezhu Cai, Qian Xiao, Zhengxi Chen, Praveen Kulkarni, Craig Ferris, Sagar Kamarthi, Srinivas Sridhar   +7 more
doaj   +1 more source

Multi‐level fatigue reliability assessment of reinforced concrete railway bridges

Structural Concrete, EarlyView.
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, Jaime Gonzalez‐Libreros, Chao Wang, Lennart Elfgren, Ola Enoksson, Tommy Höjsten, Lars‐Olof Andersson, Gabriel Sas   +7 more
wiley   +1 more source

Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor

CAAI Transactions on Intelligence Technology, EarlyView.
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

Transcriptional breakpoints as predictors of thermal thresholds in a climate‐impacted stenothermal fish

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract The biogeography of ectotherms is greatly influenced by their thermal tolerance, which is expected to be tightly coupled to aerobic performance. However, preferred temperatures of ectotherms often deviate substantially from aerobic performance optima. This suggests that
Analisa Lazaro‐Côté, Travis C. Durhack, Matthew M. Guzzo, Andrew J. Chapelski, Benjamin C. Kissinger, Ken M. Jeffries, Neil J. Mochnacz   +6 more
wiley   +1 more source

A novel damage detection method based on sequential iteration and Gaussian mixture model for structural health monitoring under environmental effects

Scientific Reports
Environmental effects often cause variability in dynamic features, obscuring actual damage indicators and leading to false alarms in damage detection.
Jie-zhong Huang, Jian Yang, Dong-sheng Li, Wei-chen Kong, Ya-fei Wang   +4 more
doaj   +1 more source

ReMoDe – Recursive modality detection in distributions of ordinal data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The detection of the number of modes in distributions of ordinal data is relevant for applied researchers across disciplines, from uncovering polarization to detecting incidence groups in clinical symptom scales. Yet, established modality detection methods are either purely descriptive or not developed for ordinal data.
Madlen Hoffstadt, Lourens Waldorp, Javier Garcia‐Bernardo, Han van der Maas   +3 more
wiley   +1 more source

Bayesian Mixture Model for Prediction of Bus Arrival Time

International Journal of Technology, 2015
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

Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities

Computer Graphics Forum, EarlyView.
Abstract Estimating correspondences between deformed shape instances is a long‐standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on ...
A. Zhuravlev, L. Bastian, D. Cao, N. El Amrani, P. Roetzer, V. Ehm, R. Marin, H. Nishizawa, S. Morishima, C. Theobalt, N. Navab, D. Cremers, F. Bernard, Z. Lähner, V. Golyanik   +14 more
wiley   +1 more source

Survey on Compositional 3D Indoor Scene Generation

Computer Graphics Forum, EarlyView.
This survey provides a comprehensive overview of compositional 3D indoor scene generation, introducing a unified framework for categorizing existing methods, comparing their strengths and limitations and identifying key challenges and future research directions.
H. I. I. Tam, H. I. D. Pun, A. T. Wang, X. Sun, Q. Wu, H. Lee, A. X. Chang, M. Savva   +7 more
wiley   +1 more source