Results 111 to 120 of about 2,419,433 (298)

Long-Term Sum-Rate Maximization in Irregular RIS-Aided V2X Communications Using Lyapunov Optimization

open access: yesIEEE Open Journal of the Communications Society
In emerging smart cities and intelligent transportation systems (ITS) ecosystems, sixth-generation (6G) vehicular networks demand sustainable wireless environments capable of adapting to high mobility and dynamic propagation conditions.
Lavanya Ganeshkumar   +2 more
doaj   +1 more source

Towards robust topology optimization by penalization of sensitivity hot spots

open access: yesStructural And Multidisciplinary Optimization
An alternative and cheaper way of designing structures with reduced sensitivity to manufacturing variations and uncertainties in topology optimization is investigated.
Ole Sigmund
semanticscholar   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

A Concept of Equivalent Load Scheme for Easy Prediction of Structural Topology When Load Position Changes Randomly

open access: yesApplied Sciences
The contemporary optimal design methodologies must be aligned with actual operating conditions of the structures, like, for example, load uncertainty—a situation which often occurs in engineering problems.
Bogdan Bochenek   +1 more
doaj   +1 more source

A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration

open access: yesAdvanced Electronic Materials, EarlyView.
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti   +6 more
wiley   +1 more source

Preface

open access: yesComputer Assisted Methods in Engineering and Science, 2020
This issue of CAMES is dedicated to the memory of Professor Witold Gutkowski in recognition of his vision, leadership, and contributions to the field of Structural Optimization.
Bartłomiej Błachowski, Piotr Tauzowski
doaj  

A Comparative Study on Acoustic Optimization and Analysis of CLD/Plate in a Cavity Using ESO and GA

open access: yesShock and Vibration, 2018
An acoustic radiation model of a cavity with a flexible plate treated with constrained layer damping (CLD) is developed by a combination of finite element method (FEM) and boundary element method (BEM).
Dongdong Zhang, Shuwen Wang, Ling Zheng
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Distributed MA‐IDDPG‐OLSR based stable routing protocol for unmanned aerial vehicle ad‐hoc network

open access: yesIET Communications
In unmanned aerial vehicle ad‐hoc network (UANET), the node speed of unmanned aerial vehicles (UAVs) may reach up to 400 km/h. The fast or slow movement of UAV nodes leads to different speeds of topology change of the nodes.
Youjun Zeng   +6 more
doaj   +1 more source

An Intelligent Mapping Algorithm for Solving the IP Mapping Problem

open access: yesTsinghua Science and Technology
The intellectual property (IP) mapping problem is a non-deterministic polynomial-time (NP)-hard problem in network-on-chip (NoC) designs. To explore the vast solution space intelligently, this paper investigates leveraging knowledge stored in the ...
Qingkun Chen, Jiahao Zhao
doaj   +1 more source

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