Results 91 to 100 of about 1,755,572 (349)
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Control Strategy of Dual-Disc Electromagnetic–EMB Composite Braking System Based on Hybrid Systems
ActuatorsIn this study, to address the problems of the redundant safety and mass production of electro-mechanical braking (EMB) structures that are widely used in distributed drive electric vehicles (DDEV), we designed a compact dual-disc electromagnetic–EMB ...
Zhen Shi, Yunbing Yan, Sen Zhang
doaj +1 more source
A Hybrid Automata-Driven Machine Learning Framework for Real-Time Energy Optimization in Smart Buildings [PDF]
EPJ Web of ConferencesAs city populations continue to expand, the need for effective energy management in smart buildings becomes essential to sustainable urban growth. Conventional energy forecasting techniques are usually not responsive to dynamic energy environments and ...
Rikame Rajashri +5 more
doaj +1 more source
Advanced Functional Materials, EarlyView.The concept of foulant particle manipulation and detachment from active microfiltration membranes via voltage‐driven vibrations is introduced. Actuator components are initially integrated onto the filtration membranes using an airbrush spray printing technique.
Irem Gurbuz, Hanieh Bazyar, Andres Hunt
wiley +1 more source
Pseudorandom number generation with self programmable cellular automata [PDF]
, 2004 In this paper, we propose a new class of cellular automata – self programming cellular automata (SPCA) with specific application to pseudorandom number generation. By changing a cell's state transition rules in relation to factors such as its neighboring
Guan, SU, Tan, SK
core
Suspension automata: A decidable class of hybrid automata [PDF]
, 1994 A hybrid automaton consists of a discrete state component represented by a finite automaton, coupled with a (vector) continuous state component governed by a differential equation. For hybrid automata it is possible to reduce certain verification problems to those of checking language containment or language emptiness. Here we present a class of hybrid
Jennifer McManis, Pravin Varaiya
openaire +1 more source
Quantum‐Grade Nanodiamonds from a Single‐Step, Industrial‐Scale Pressure and Temperature Process
Advanced Functional Materials, EarlyView.Novel method for creation of nitrogen‐vacancy centers in 50‐nm nanodiamonds based on high‐temperature plastic deformation is demonstrated. Compared to the electron irradiation approach, it yields nitrogen‐vacancy centers with significantly improved charge stability, T1 relaxation time, and optical Rabi contrast.
Yahua Bao +17 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi +5 more
wiley +1 more source
Higher-Dimensional Timed Automata
, 2018 We introduce a new formalism of higher-dimensional timed automata, based on van Glabbeek's higher-dimensional automata and Alur's timed automata. We prove that their reachability is PSPACE-complete and can be decided using zone-based algorithms.
Fahrenberg, Uli
core