Tong Liu

Flexible Constraint Model Predictive Current Control of SMPMSM Drives with Switching Frequency Reduction

Yanan Zhou, Tong Liu, Kun Li, Xintian Liu et autres

To achieve double‐objective optimization of the current performance and inverter switching frequency for surface mounted permanent magnet synchronous motor drives, a flexible constraint model predictive current control is proposed based on a hybrid voltage vector. The cost function includes current performance, which …

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Independent Cost Function Model Predictive Current Control for SMPMSM Drive

Yanan Zhou, Tong Liu, Youtao Wang, Hongmei Li

To achieve controllabled-axis andq-axis current performance with inverter switching frequency reduction, an independent cost function model predictive current control (ICF-MPC) is proposed for surface mounted permanent magnet synchronous motor (SMPMSM) drives. First, two independent cost functions are designed ford-axis andq-axis individual current …

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Association of Proteinuria Change with Risk and Prognosis of Heart Failure in Individuals with Diabetes

Hong‐Min Liu, Tong Liu, Yuntao Wu, Haiyan Zhao et autres

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Performance of a novel medical artificial intelligence large language model on supporting decision-making for emergency patients with suspected sepsis

Sen Jiang, Xiandong Liu, Tong Liu, Yi Gu et autres

BACKGROUND: Large language models (LLMs) are being explored for disease prediction and diagnosis; however, their effi cacy for early sepsis identifi cation in emergency departments (EDs) remains unexplored.This study aims to evaluate MedGo, a novel medical LLM, as a decision-support tool for …

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Uric acid and risk of incident heart failure in individuals with cardiovascular disease

Na Li, Yaqi Li, Liufu Cui, Rong Shu et autres

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Performance of a Novel Medical Artificial Intelligence Large Model (MedGo) on Supporting Decision-Making for Emergency Patients with Suspected Sepsis (Preprint)

Sen Jiang, Yi Gu, Tong Liu, Bo An et autres

BACKGROUND Large Artificial Intelligence (AI) language models have been increasingly applied in the medical field for disease prediction, diagnosis, and evaluation. However, research on AI-assisted early sepsis identification and screening remains scarce. Here, we conduct a retrospective study to evaluate the diagnostic …

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Deep learning-based prognostic model using non-enhanced cardiac cine MRI in patients with heart failure.

Yifeng Gao, Zhen Zhou, Bing Zhang, Saidi Guo et autres

We proposed a multi-source deep-learning model including traditional functional parameters and myocardial strain derived from cardiovascular magnetic resonance, as well as clinical features such as laboratory tests, electrocardiograms, and echocardiography. Meanwhile, we innovatively integrated cardiac motion characteristics through deep learning algorithms and …

CAPEDL: Cycle-Accurate Power Estimation with Deep Learning

Tong Liu, Haoyu Zhao, Yangdi Lyu

A cycle-accurate power estimation model plays a crucial role in the early stages of chip design, which can assist the chips to meet the power, performance, and area (PPA) requirements. PPA are critical factors in determining the overall quality and success of …

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Improving Generalization and Personalization in Long-Tailed Federated Learning via Classifier Retraining

Yuhang Li, Tong Liu, Wenfeng Shen, Yangguang Cui et autres

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Passive force analysis with elastic contacts for fixturing and grasping

Tong Liu, M.Y. Wang

Unlike active force closure, which is a property for the multi-finger robotic hand grasping, passive force closure are involved in the grasping systems with constraining devices that cannot freely control the contact forces, such as the whole-arm grasping and manufacturing fixture. In …

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