Results 91 to 100 of about 18,710 (282)

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

Advanced Intelligent Systems, EarlyView.
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov, Hanzhi Ma, Junbo Peng, Huifeng Dong, Jiangshan Zhuo, Mengke Shi, Lvting Wang, Shengchao Jiang, Ye Shi   +8 more
wiley   +1 more source

Ambient Sound Provides Supervision for Visual Learning

, 2016
The sound of crashing waves, the roar of fast-moving cars -- sound conveys important information about the objects in our surroundings. In this work, we show that ambient sounds can be used as a supervisory signal for learning visual models.
Freeman, William T., McDermott, Josh H., Owens, Andrew, Torralba, Antonio, Wu, Jiajun   +4 more
core   +1 more source

Myoelectric Origami‐Based Soft Robotic Knee Exoskeleton to Enhance Sit‐to‐Stand Assistance in Elderly Populations

Advanced Intelligent Systems, EarlyView.
This work presents a lightweight Miura‐origami soft knee exoskeleton powered by vacuum actuation and integrated with a multimodal physiological intent‐recognition system, providing real‐time assistance during sit‐to‐stand movement to reduce muscle effort and improve user comfort.
Yuchuan Jia, Xingjian Ye, Xuanyi Zhou, Yong Ling, Daniela Rus, Chen‐Hua Yeow   +5 more
wiley   +1 more source

ControlIt: A Universal Framework for Translational, Adaptive, and Online Brain–Computer Interfaces

Advanced Intelligent Systems, EarlyView.
Brain–computer interfaces (BCIs) lack a unified platform that works across signals and algorithms. ControlIt, an open‐source, modular ROS2‐based BCI framework supporting electroencephalography (EEG), electrocorticography (ECoG), and spike‐based decoding across both classification and regression tasks is presented.
Wanlin Yang, Chenyang Li, Xinxiu Xu, Xindong Wang, Yongcheng Guo, Xiaoke Chai, Tianqin Cao, Jiuxiang Song, Nan Wang, Xueming Zhang, Yi Yang, Cong Zheng, He Cui   +12 more
wiley   +1 more source

Multilevel Multiphase Feedforward Space-Vector Modulation Technique [PDF]

, 2010
Multiphase converters have been applied to an increasing number of industrial applications in recent years. On the other hand, multilevel converters have become a mature technology mainly in medium- and high-power applications.
Doval Gandoy, Jesús, Freijedo, Francisco D., García Franquelo, Leopoldo, León Galván, José Ignacio, López, Óscar, Vázquez Pérez, Sergio, Álvarez, J.   +6 more
core  

Economy of Touch : Task‐Driven Information Selection in Electrical Impedance Tomography‐based Tactile Robotic Sensing

Advanced Intelligent Systems, EarlyView.
Electrical impedance tomography (EIT) tactile skins enable multiplexed measurements that trade sensing speed against information richness. This work introduces an economy‐of‐touch framework that treats tactile sensing as an information‐budgeting problem.
Xiaoxian Xu, David Hardman, Fumiya Iida
wiley   +1 more source

Direct Vector Control of a DFIG Supplied by an Intelligent SVM Inverter for Wind Turbine System

Iranian Journal of Electrical and Electronic Engineering, 2019
This article presents an improved direct vector command (DVC) based on intelligent space vector modulation (SVM) for a doubly fed induction generator (DFIG) integrated in a wind turbine system (WTS).
H. Benbouhenni, Z. Boudjema, A. Belaidi
doaj  

Supervised Machine Learning for Signals Having RRC Shaped Pulses

, 2017
Classification performances of the supervised machine learning techniques such as support vector machines, neural networks and logistic regression are compared for modulation recognition purposes.
Bari, Mohammad, Doroslovacki, Milos, Sherazi, Syed Saad, Taher, Hussain   +3 more
core   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

A Review on DTC-SVM Method with Back-to-Back Converter Connected to the Permanent Magnet Generator and Comparison with DTC in the Matrix Converter

Majlesi Journal of Electrical Engineering
In this paper, the direct torque control torque based on space vector modulation (DTC-SVM) for permanent magnet synchronous generator connected to the variable-speed wind power generation system will be discussed.
Alireza Siadatan, Soroush Sadeghbayan, Ebrahim Afjei   +2 more
doaj