Results 91 to 100 of about 242,922 (315)

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

Deep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang, Maohui Wang, Ning Wang, Yixin Shen, Xuzhen He   +4 more
wiley   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Evaluation of UAV Ground Station Network Performance with Machine Learning-Based Bandwidth Allocation

Telecom
Efficient bandwidth allocation in 5G networks is essential for optimizing network performance and ensuring high quality of service (QoS), particularly in unmanned aerial vehicle (UAV) communication systems.
Mohammed A. Aljubouri, Soo Siang Teoh
doaj   +1 more source

The Impact of Resource Endowment and Digital Transformation on the Efficiency of Energy Transition

Energy Science &Engineering, EarlyView.
Resource endowment has a significant positive direct effect and a stronger spatial spillover effect on ETE, while digital transformation can improve local efficiency but has some negative spillover effects on neighboring regions. ABSTRACT In contemporary society, improving energy transition efficiency (ETE) has become a necessary measure to ensure the ...
Junding Yang, Yanfeng Guan, Rong Wang, Tong Zhao, Guilan Huang, Ming Ding   +5 more
wiley   +1 more source

DTMsim - DTM channel simulation in ns [PDF]

, 2001
Dynamic Transfer Mode (DTM) is a ring based MAN technology that provides a channel abstraction with a dynamically adjustable capacity. TCP is a reliable end to end transport protocol capable of adjusting its rate.
Abrahamsson, Henrik, Marsh, Ian
core   +2 more sources

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Steady state analysis of balanced-allocation routing

, 2002
We compare the long-term, steady-state performance of a variant of the standard Dynamic Alternative Routing (DAR) technique commonly used in telephone and ATM networks, to the performance of a path-selection algorithm based on the "balanced-allocation ...
Anagnostopoulos, Aris, Kontoyiannis, Ioannis, Upfal, Eli   +2 more
core   +1 more source

Interference Management Based on RT/nRT Traffic Classification for FFR-Aided Small Cell/Macrocell Heterogeneous Networks

, 2018
Cellular networks are constantly lagging in terms of the bandwidth needed to support the growing high data rate demands. The system needs to efficiently allocate its frequency spectrum such that the spectrum utilization can be maximized while ensuring ...
Chowdhury, Mostafa Zaman, Hossan, Md. Tanvir, Jang, Yeong Min   +2 more
core   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Dynamic Bandwidth Allocation and Precoding Design for Highly-Loaded Multiuser MISO in Beyond 5G Networks

IEEE Transactions on Wireless Communications, 2022
T. Vu, S. Chatzinotas, B. Ottersten
semanticscholar   +1 more source