Results 101 to 110 of about 8,474,325 (290)

Simulation-Driven Machine Learning for Rapid Prediction of Shale-Gas Apparent Permeability Based on Lattice Boltzmann Pore-Scale Simulations

Energies
Accurate and efficient prediction of shale-gas apparent permeability is essential for pore-scale flow analysis and reservoir evaluation. This study develops a simulation-driven machine learning framework combining controllable pore reconstruction, pore ...
Yunye Liu, Qin Xu, Bing He, Binghai Wen, Xinyu Zhang   +4 more
doaj   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Multiprocessing neural network simulator

, 2013
Over the last few years tremendous progress has been made in neuroscience by employing simulation tools for investigating neural network behaviour.
Kulakov, Anton
core   +1 more source

Approximation by interpolation operators with piecewise polynomial basis functions

Demonstratio Mathematica
This paper focuses on approximation by interpolation operators with piecewise polynomial basis functions. It first shows that the interpolation operator introduced by Zhan, Huang and Liu (A class of interpolation basis functions with excellent properties,
Mei Ying, Yu Dansheng
doaj   +1 more source

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

Neural Network Models for Inflation Forecasting: An Appraisal [PDF]

We assess the power of artificial neural network models as forecasting tools for monthly inflation rates for 28 OECD countries. For short out-of-sample forecasting horizons, we find that, on average, for 45% of the countries the ANN models were a ...
Adnan Haider, Ali Choudhary
core  

Design and Modeling of a High‐Displacement, Skin‐Integrated Flexible Electromagnetic Actuator for Haptic Interfaces in Virtual Reality

Advanced Robotics Research, EarlyView.
A flexible, skin‐integrated electromagnetic actuator is developed for wearable virtual/augmented reality (VR/AR) haptic systems. A tunable design model enables control over displacement and resonance frequency. The system is validated through a custom VR application with a 6 × 4 actuator array, demonstrating real‐time, spatially targeted tactile ...
Naji Tarabay, Alexandra Zhang Jiang, Ziteng Liu, Rachel Villamor, Derek Cha, Ananya Renuka Balakrishna, Tianshu Liu, Priyanshu Agarwal, Rainer Dömer, Camilo Velez   +9 more
wiley   +1 more source

supplementary_materials – Supplemental material for Neural Network-based Motion Tracking for Breast Ultrasound Strain Elastography: An Initial Assessment of Performance and Feasibility

, 2020
Supplemental material, supplementary_materials for Neural Network-based Motion Tracking for Breast Ultrasound Strain Elastography: An Initial Assessment of Performance and Feasibility by Bo Peng, Yuhong Xian, Quan Zhang and Jingfeng Jiang in Ultrasonic ...
Jingfeng Jiang (2888477), Bo Peng (273834), Yuhong Xian (8382579), Quan Zhang (168081)   +3 more
core   +1 more source

Applications of Zhang neural networks to economics

, 2019
Leontief models, also known as Input-Output models, describe the interdependence between different industrial sectors in an economy and are a widely used macroeconomic tool for the world. Several improved versions of Leontief’s analytical framework meet in the literature to provide more realistic and accurate information, thus, perception on the ...
openaire   +1 more source

Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction

Advanced Robotics Research, EarlyView.
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith, Sunny Amatya, Seyed Yousef Soltanian, Jonathan Bush, Wenlong Zhang   +4 more
wiley   +1 more source