Hansheng Wu
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View article: Machine learning for predicting the prognosis of patients with thymoma and thymic carcinoma
Machine learning for predicting the prognosis of patients with thymoma and thymic carcinoma Open
We trained ML-based predictive models that could accurately predict the 5-year OS and DSS of patients with thymoma and thymic carcinoma.
View article: Improving the efficiency of identifying malignant pulmonary nodules before surgery via a combination of artificial intelligence CT image recognition and serum autoantibodies
Improving the efficiency of identifying malignant pulmonary nodules before surgery via a combination of artificial intelligence CT image recognition and serum autoantibodies Open
View article: m6A-binding protein IGF2BP1 promotes the malignant phenotypes of lung adenocarcinoma
m6A-binding protein IGF2BP1 promotes the malignant phenotypes of lung adenocarcinoma Open
Background Lung adenocarcinoma (LUAD), the most common type of lung cancer, poses a significant threat to the life of patients. N6-methyladenosine modification is the most abundant epigenetic modification and may play an important role in …
View article: A Method for Estimating On-Field Photovoltaics System Efficiency Using Thermal Imaging and Weather Instrument Data and an Unmanned Aerial Vehicle
A Method for Estimating On-Field Photovoltaics System Efficiency Using Thermal Imaging and Weather Instrument Data and an Unmanned Aerial Vehicle Open
A new approach is proposed for estimating the power efficiency of an on-field solar photovoltaics (PV) system using data from thermal imaging and weather instruments obtained using an unmanned aerial vehicle (UAV). This method is specifica…
View article: Should psychological distress be listed as a surgical indication for indeterminate pulmonary nodules: protocol for a prospective cohort study in real-world settings
Should psychological distress be listed as a surgical indication for indeterminate pulmonary nodules: protocol for a prospective cohort study in real-world settings Open
ClinicalTrials.gov Identifier: NCT04857333. Registered April 23, 2021.
View article: Robust tracking and model following of uncertain non‐linear systems with time‐varying delays and dead‐zone inputs
Robust tracking and model following of uncertain non‐linear systems with time‐varying delays and dead‐zone inputs Open
The problem of robust tracking and model following is considered for a class of uncertain non‐linear systems with any time‐varying delays and completely unknown dead‐zone input non‐linearity. Here, time‐varying delays are assumed to be any…
View article: Simple Control Scheme for Robust Tracking and Model Following of Uncertain Systems with Unknown Dead-Zone Inputs and Nonlinear Perturbations
Simple Control Scheme for Robust Tracking and Model Following of Uncertain Systems with Unknown Dead-Zone Inputs and Nonlinear Perturbations Open
The robust tracking and model following problem is investigated for a class of uncertain systems with completely unknown dead-zone inputs and any nonlinear perturbations. It is supposed that the uncertain nonlinearities are any continuous …
View article: Multiple integral inequality and its applications to decentralised control of large‐scale systems with time‐varying delays and unknown saturated inputs
Multiple integral inequality and its applications to decentralised control of large‐scale systems with time‐varying delays and unknown saturated inputs Open
As the main objective of this study, a new multiple integral inequality is proposed. By combining this multiple integral inequality with adaptive approach, some simple design methods can be developed to synthesise the decentralised adaptiv…
View article: Adaptive Robust Stabilization of Uncertain Neutral Delay–Time Systems via Control Schemes with Simple Structure
Adaptive Robust Stabilization of Uncertain Neutral Delay–Time Systems via Control Schemes with Simple Structure Open
In this paper, the problem of robust stabilization is considered for a class of uncertain neutral time–delay dynamical systems with the unknown bounds of delayed state perturbations. By introducing an adaptation law with σ–modification to …