Search Results for author: Shuo Gao

Found 11 papers, 0 papers with code

High-Order Associative Learning Based on Memristive Circuits for Efficient Learning

no code implementations22 Oct 2024 Shengbo Wang, Xuemeng Li, Jialin Ding, Weihao Ma, Ying Wang, Luigi Occhipinti, Arokia Nathan, Shuo Gao

Memristive associative learning has gained significant attention for its ability to mimic fundamental biological learning mechanisms while maintaining system simplicity.

Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data

no code implementations31 Jul 2024 Mengtian Kang, Yansong Hu, Shuo Gao, Yuanyuan Liu, Hongbei Meng, Xuemeng Li, Xuhang Chen, Hubin Zhao, Jing Fu, Guohua Hu, Wei Wang, Yanning Dai, Arokia Nathan, Peter Smielewski, Ningli Wang, Shiming Li

In this study, we introduce a novel, high-accuracy method for quantitatively predicting the myopic trajectory and myopia risk in children using only fundus images and baseline refraction data.

Real-Time State Modulation and Acquisition Circuit in Neuromorphic Memristive Systems

no code implementations1 Jun 2024 Shengbo Wang, Cong Li, Tongming Pu, Jian Zhang, Weihao Ma, Luigi Occhipinti, Arokia Nathan, Shuo Gao

Memristive neuromorphic systems are designed to emulate human perception and cognition, where the memristor states represent essential historical information to perform both low-level and high-level tasks.

Diagnosis of Multiple Fundus Disorders Amidst a Scarcity of Medical Experts Via Self-supervised Machine Learning

no code implementations20 Apr 2024 Yong liu, Mengtian Kang, Shuo Gao, Chi Zhang, Ying Liu, Shiming Li, Yue Qi, Arokia Nathan, Wenjun Xu, Chenyu Tang, Edoardo Occhipinti, Mayinuer Yusufu, Ningli Wang, Weiling Bai, Luigi Occhipinti

Fundus diseases are major causes of visual impairment and blindness worldwide, especially in underdeveloped regions, where the shortage of ophthalmologists hinders timely diagnosis.

SSVT: Self-Supervised Vision Transformer For Eye Disease Diagnosis Based On Fundus Images

no code implementations20 Apr 2024 Jiaqi Wang, Mengtian Kang, Yong liu, Chi Zhang, Ying Liu, Shiming Li, Yue Qi, Wenjun Xu, Chenyu Tang, Edoardo Occhipinti, Mayinuer Yusufu, Ningli Wang, Weiling Bai, Shuo Gao, Luigi G. Occhipinti

Machine learning-based fundus image diagnosis technologies trigger worldwide interest owing to their benefits such as reducing medical resource power and providing objective evaluation results.

Ultrasensitive Textile Strain Sensors Redefine Wearable Silent Speech Interfaces with High Machine Learning Efficiency

no code implementations27 Nov 2023 Chenyu Tang, Muzi Xu, Wentian Yi, Zibo Zhang, Edoardo Occhipinti, Chaoqun Dong, Dafydd Ravenscroft, Sung-Min Jung, Sanghyo Lee, Shuo Gao, Jong Min Kim, Luigi G. Occhipinti

Our research presents a wearable Silent Speech Interface (SSI) technology that excels in device comfort, time-energy efficiency, and speech decoding accuracy for real-world use.

Efficient Neural Network

Intelligent machines work in unstructured environments by differential neuromorphic computing

no code implementations16 Sep 2023 Shengbo Wang, Shuo Gao, Chenyu Tang, Edoardo Occhipinti, Cong Li, Shurui Wang, Jiaqi Wang, Hubin Zhao, Guohua Hu, Arokia Nathan, Ravinder Dahiya, Luigi Occhipinti

By mimicking the intrinsic nature of human low-level perception mechanisms, the electronic memristive neuromorphic circuit-based method, presented here shows the potential for adapting to diverse sensing technologies and helping intelligent machines generate smart high-level decisions in the real world.

Autonomous Driving Decision Making

Human Body Digital Twin: A Master Plan

no code implementations18 Jul 2023 Chenyu Tang, Wentian Yi, Edoardo Occhipinti, Yanning Dai, Shuo Gao, Luigi G. Occhipinti

A human body digital twin (DT) is a virtual representation of an individual's physiological state, created using real-time data from sensors and medical test devices, with the purpose of simulating, predicting, and optimizing health outcomes through advanced analytics and simulations.

Decision Making

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