Results 71 to 80 of about 5,764 (241)
Inverter open-circuit fault diagnosis and fault-tolerant method based on vector-controlled induction machine drive system with utilization of remained bridges was proposed.
WANG Zhi-yuan +4 more
doaj
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
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 +8 more
wiley +1 more source
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
An effective software implementation of the space-vector modulation [PDF]
An effective software implementation of the space-vector modulation (SVM) on the rotating d-q frame is proposed. The conventional SVM algorithm requires complex computations, such as square root and arctangent.
Youm, JH, Kwon, BH
core
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 +2 more
wiley +1 more source
Analysis of 2-level 3 phase space vector modulation / Shafizad Izhar [PDF]
Space vector modulation (SVM) is one of the best choice techniques of modulation to drive 3 phase load such as 3 phase induction motor. The power circuit of a 3 phase inverter consists of six IGBT, mosfet or other switching electronic equipment is used ...
Izhar, Shafizad
core
Research on Diaphragm Pump Fault Diagnosis Method Based on Res‐DCB‐Net
ABSTRACT Nonstationary pressure pulsation signals of diaphragm pumps contain strong background noise and coupled characteristics. This makes it challenging to extract incipient fault features and to decouple faults with similar physical mechanisms. To address these limitations, this paper proposes a spatiotemporal fault diagnosis model named Res‐DCB ...
Jiahui Wang +7 more
wiley +1 more source
ABSTRACT Effective vaccines against Trypanosoma cruzi, the causative agent of Chagas disease, are urgently needed. Here, we report the design and in silico validation of a novel multiepitope vaccine construct targeting the key surface proteins ASP‐2 and gp82. Using a comprehensive immunoinformatics pipeline, we identified and selected 38 potent T‐cell (
Maria Karolaynne da Silva +8 more
wiley +1 more source
Three phase space vector modulation voltage source inverter using PV solar / Siti Norhafida Norhalim [PDF]
One of the best choice techniques of modulation to drive 3 phase load is space vector modulation (SVM). Since then, the study on three phase space vector modulation voltage source inverter has been implemented.
Norhalim, Siti Norhafida
core

