Results 111 to 120 of about 234,090 (282)

Optimize Gate-All-Around Devices Using Wide Neural Network-Enhanced Bayesian Optimization

IEEE Journal of the Electron Devices Society
Device design processes based on manual design experience require numerous experiments and simulations. As transistors continue to shrink, complex physical effects, such as quantum effects intensify, making the design process increasingly costly, whether
Jiaye Shen, Zhiqiang Li, Zhenjie Yao
doaj   +1 more source

Neural network based approximations to posterior densities: a class of flexible sampling methods with applications to reduced rank models [PDF]

Likelihoods and posteriors of econometric models with strong endogeneity and weakinstruments may exhibit rather non-elliptical contours in the parameter space.This feature also holds for cointegration models when near non-stationarity occursand ...
Dijk, H.K. van, Hoogerheide, L.F., Kaashoek, J.F.   +2 more
core   +1 more source

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

Advanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang, Depeng Kong, Zhiao He, Jikai Liang, Yuyao Lu, Zikang Deng, Honghe Li, Mengke Wang, M. Jamal Deen, Zhiqiu Ye, Shuyao Zhou, Huayong Yang, Honghao Lyu, Jun Chen, Kaichen Xu, Geng Yang   +15 more
wiley   +1 more source

Robust Motor Imagery Tasks Classification Approach Using Bayesian Neural Network. [PDF]

Sensors (Basel), 2023
Milanés-Hermosilla D, Trujillo-Codorniú R, Lamar-Carbonell S, Sagaró-Zamora R, Tamayo-Pacheco JJ, Villarejo-Mayor JJ, Delisle-Rodriguez D.   +6 more
europepmc   +1 more source

A smart headband for multimodal physiological monitoring in human exercises

Advanced Science, EarlyView.
A novel smart headband incorporating a thermal‐sensation‐based electronic skin is presented for continuous and accurate multimodal physiological monitoring, including pulse waveforms, total metabolic energy expenditure, heart rate, and forehead temperature, across both static and dynamic daily activities.
Shiqiang Liu, Guanxing Chen, Jingyi Peng, Shuo Tian, Qian Mao, Caise Wei, Jinfeng Yuan, Rong Zhu   +7 more
wiley   +1 more source

Structural Health Monitoring Impact Classification Method Based on Bayesian Neural Network. [PDF]

Polymers (Basel), 2022
Yu H, Seno AH, Sharif Khodaei Z, Aliabadi MHF.   +3 more
europepmc   +1 more source

Linear models, smooth transition autoregressions and neural networks for forecasting macroeconomic time series: A reexamination [PDF]

In this paper we examine the forecast accuracy of linear autoregressive, smooth transition autoregressive (STAR), and neural network (NN) time series models for 47 monthly macroeconomic variables of the G7 economies.
Dick van Dijk, Marcelo Cunha Medeiros, Timo Teräsvirta   +2 more
core  

Bayesian neural networks for macroeconomic analysis

Journal of Econometrics
JEL: C11, C30, C45, C53, E3, E44.
Hauzenberger, Niko, Huber, Florian, Klieber, Karin, Marcellino, Massimilano   +3 more
openaire   +4 more sources

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

Advanced 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, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Employment of Self-Adaptive Bayesian Neural Network for Systematic Antenna Design: Improving Wireless Networks Functionalities. [PDF]

Micromachines (Basel), 2023
Aliqab K, Sohaib MA, Ali F, Armghan A, Alsharari M.   +4 more
europepmc   +1 more source