Metric learning via perturbing hard-to-classify instances
Constraint selection is an effective means to alleviate the problem of a massive amount of
constraints in metric learning. However, it is difficult to find and deal with all association …
constraints in metric learning. However, it is difficult to find and deal with all association …
Designing soft pneumatic actuators for thumb movements
Studies have developed various types of soft robotic gloves for hand rehabilitation in recent
years. Most soft actuators achieved a sufficient thumb flexion assist while lacking opposition …
years. Most soft actuators achieved a sufficient thumb flexion assist while lacking opposition …
Evolution mechanism on the unsafe behavioural risks of general aviation pilots
X Guo, Y Chen, Q Si, Y Wang - Engineering Economics, 2021 - inzeko.ktu.lt
The unsafe behaviour prevention and control of general aviation pilots has become an
emphasis in the general aviation safety management with the increasing number of general …
emphasis in the general aviation safety management with the increasing number of general …
Media coverage and corporate ESG performance: Evidence from China
In the context of increasing concern about climate issues, corporate environmental, social
and governance (ESG) performance has received widespread attention from the public. Our …
and governance (ESG) performance has received widespread attention from the public. Our …
Fine-grained age estimation in the wild with attention LSTM networks
Age estimation from a single face image has been an essential task in the field of human-computer
interaction and computer vision, which has a wide range of practical application …
interaction and computer vision, which has a wide range of practical application …
Multiple metric learning via local metric fusion
Adaptive distance metric learning based on the characteristics of data can significantly
improve the learner’s performance. Due to the limitations of single metric learning for …
improve the learner’s performance. Due to the limitations of single metric learning for …
Self‐Supported Fe‐Based Nanostructured Electrocatalysts for Water Splitting and Selective Oxidation Reactions: Past, Present, and Future
…, UP Suryawanshi, S Jang, X Guo… - Advanced Energy …, 2024 - Wiley Online Library
Electrochemical water splitting plays a vital role in facilitating the transition towards a sustainable
energy future by enabling renewable hydrogen (H 2 ) production, energy storage, and …
energy future by enabling renewable hydrogen (H 2 ) production, energy storage, and …
A Denoising Method for Ship‐Radiated Noise Based on Optimized Variational Mode Decomposition with Snake Optimization and Dual‐Threshold Criteria of …
…, L Xiao, B Tang, L Liang, Y Lou, X Guo… - Mathematical …, 2022 - Wiley Online Library
The ship‐radiated noise (SN) is easily affected by other hydroacoustic objects or complex
ocean noise when it spreads through water. In order to reduce the impact from the environment…
ocean noise when it spreads through water. In order to reduce the impact from the environment…
Enhancing enantioselectivity of manganese catalyst for asymmetric transfer hydrogenation of ketones through P, N, N-chelation of a cyclooctyl pyridine
S Zhang, Z Ma, Y Li, Y Su, N Ma, X Guo, L Li, Q Liu… - Journal of …, 2024 - Elsevier
A new ferrocene-based chiral PNN pincer ligand (L1) was successfully applied in Mn-catalyzed
asymmetric transfer hydrogenation (ATH) of ketones (37 examples), leading to high …
asymmetric transfer hydrogenation (ATH) of ketones (37 examples), leading to high …
An inertial number regulated stress model for gas-particle flows with particle friction and volume fraction gradient
J Zhao, G Liu, X Yin, X Guo, X Li, H Lu - Powder Technology, 2022 - Elsevier
In this study, a solid stress model that can be used in both dilute and dense regimes for
simulation of gas-particle flows with comprehensive considerations of friction and the effect of …
simulation of gas-particle flows with comprehensive considerations of friction and the effect of …