2026
erratum
OpenAlex
Liu Y, Wei Zhao, Ruixiang Yan, Kai Ni et autres
This paper, originally published on 10 December 2024, was replaced with a corrected/revised version on 18 June 2026. Co-corresponding author Yuandong Gu was added. If you downloaded the original PDF but are unable to access the revision, please contact SPIE Digital Library …
cn
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2026
article
OpenAlex
Shijie Su, Kai Ni, Nan Li, Jian Zhang
cn
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2026
conference-paper
OpenAlex
Hui Li, Kai Ni
cn
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2026
conference-paper
OpenAlex
Kai Ni, Hao Shan, Jianxin Liu, Yang Xiao et autres
cn, cl
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2026
conference-paper
OpenAlex
Wen Ding, Genglong Bu, Zhi Ting Geng, Kai Ni et autres
cn
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2026
conference-paper
OpenAlex
Genglong Bu, Wen Ding, Zhi Ting Geng, Kai Ni et autres
cn
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2025
article
OpenAlex
A N M Nafiul Islam, Xuezhong Niu, Jiahui Duan, Shubham Kumar et autres
Although inspired by neuronal systems in the brain, artificial neural networks generally employ point-neurons, which offer computational complexity far less than that of their biological counterparts. Neurons have dendritic arbors that connect to different sets of synapses and offer local nonlinear accumulation …
us
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2025
conference-paper
OpenAlex
Wei Li, Guangxi Li, Kai Ni, Dongxu Li et autres
In this paper, the issue of the safety and power supply capability for the DC low-voltage distribution systems is investigated. The safety capability encompasses safe current threshold and safe voltage level. Based on the Chinese design standards, three key points concerning the …
cn
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2025
article
OpenAlex
Yang Xiao, Gaoxuan Bu, Zhi Ting Geng, Yidong Du et autres
This article investigates a novel six-phase electric-drive reconfiguration system for the electric light tactical vehicle. The highlight is the robust fault-tolerant capability in both propulsive and charging operations by the proposed reconfigured system, which satisfies the demand of high-reliability requirements of electric …
cn, cl
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Accès ouvert
2025
article
OpenAlex
Nikhil Shukla, Kai Ni, Samuel Stevenson, Vijaykrishnan Narayanan
Big Data has an insatiable appetite for larger and better-performing memory. While current memory technologies continue to advance, the performance gaps in current memory and storage technology have motivated the exploration of emerging memory technologies capable of providing new functionalities. Ferroelectric memory …
us
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2025
conference-paper
OpenAlex
Arnob Saha, Md Zesun Ahmed Mia, Jiahui Duan, Kai Ni et autres
Ferroelectric field-effect transistors (FeFETs) are emerging to be a promising candidate for low-power in-memory compute based platform design for accelerating AI workloads. However, device-circuit non-idealities and variations due to device scaling pose significant challenges. The paper reviews recent developments in this field …
us
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2025
conference-paper
OpenAlex
Yichen Jiang, Yong Biao Yang, Xiang Xu, Yang Xiao et autres
This paper introduces a four-leg multilevel inverter that utilizes the concept of multiple DC power supplies to handle unbalanced loads. By integrating multiple DC power sources, the inverter can generate different voltage levels, enhancing its adaptability to various load requirements. Different from …
cn, cl
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