Results 121 to 130 of about 5,599 (296)
RRAM Variability Harvesting for CIM‐Integrated TRNG
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende +4 more
wiley +1 more source
Parameters and performance requirements of supercapacitor low-floor light vehicle was introduced, and T/B characteristic of electric traction system, high-voltage system, energy-storage system, main circuit and key parameters of the drive system were ...
XIA Wenjie +4 more
doaj
Virtual Energy Simulation of Induction Traction Drive Test Bench
This paper describes a stationary bench simulating the traction drive of electric transport vehicles in traction, freewheeling and braking modes which is planned to investigate the drive operation with and without a supercapacitor energy storage system ...
Staņa, Ģirts +2 more
core
A STUDY OF TORQUE VECTORING AND TRACTION CONTROL FOR AN ALL-WHEEL DRIVE ELECTRIC VEHICLE [PDF]
Common vehicle always experience energy loss during cornering manoeuver. Thus, to ensure it did not happened especially at high speed, a study of torque vectoring and traction control need to be made since it can increase the traction control of tyres ...
MOHAMAD NOOR IMAN, Mohd Nor
core
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
In the article the structural reliability of different variants of structured schemes of the steady-state converter for traction drive of promising multi-system electric locomotives with asynchronous traction engines is compared.
A. M. Muha
doaj
Deep Learning‐Assisted Design of Mechanical Metamaterials
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
A dynamic model of the battery power unit of the electric truck MAZ-4381EE with a two-speed gearbox is considered. The dynamic processes arising at gear shifting are investigated.
Sergey N. Poddubko +3 more
doaj +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source

