Results 91 to 100 of about 5,015,409 (266)
Heuristic-Based Ankle Exoskeleton Control for Co-Adaptive Assistance of Human Locomotion
IEEE transactions on neural systems and rehabilitation engineering, 2019 Assisting human locomotion with exoskeletons is challenging, largely due to the complexity of the neuromusculoskeletal system, the time-varying dynamics that accompany motor learning, and the uniqueness of every individual’s response to device assistance.
Rachel W. Jackson, S. Collins
semanticscholar +1 more source
Advanced Electronic Materials, EarlyView.A fully coupled FEM–HH model shows that ideally capacitive microelectrodes can achieve lower charge‐density thresholds than Faradaic contacts under current‐controlled stimulation. The advantage stems from the dynamics of surface current density on capacitive interfaces, which redirects current beneath adherent neurons.
Aleksandar Opančar +2 more
wiley +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
AIChE Journal, EarlyView.Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley +1 more source
IEEE Access, 2017 This paper investigates the operator profit from virtual resource allocation in device-to-device (D2D) communications underlaying long-term evolution networks.
Yulun Cheng, Longxiang Yang, Hongbo Zhu
doaj +1 more source
A Domain Specific Approach to High Performance Heterogeneous Computing
, 2016 Users of heterogeneous computing systems face two problems: firstly, in understanding the trade-off relationships between the observable characteristics of their applications, such as latency and quality of the result, and secondly, how to exploit ...
Inggs, Gordon +2 more
core +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
, 2015 In the near future FPGAs will be available by the hour, however this new Infrastructure as a Service (IaaS) usage mode presents both an opportunity and a challenge: The opportunity is that programmers can potentially trade resources for performance on a ...
Constantinides, George +3 more
core
Lubricating the rough grounds: the case of Panag Kalangkang [PDF]
, 2016 PanagKalangkang is a small fishing community in Sta. Cruz, Marinduque. Viewed as rough ground, life there is an everyday struggle where, from their need to survive, people have to negotiate and adjust.
Macaraan, Willard Enrique
core
Mathematics and Computers in Simulation, 2019 This paper aims at optimizing the energy management of a smart power plant composed of wind turbines coupled with a Lithium Ion storage device in order to fulfill a power production commitment to the utility grid.
R. Bourbon +5 more
semanticscholar +1 more source