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06/27/2023
Internal Contrastive Learning for Generalized Out-of-distribution Fault Diagnosis (GOOFD) Framework
Fault diagnosis is essential in industrial processes for monitoring the ...
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06/26/2023
Hard Sample Mining Enabled Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis
The efficient utilization of wind power by wind turbines relies on the a...
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02/13/2023
An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis
Fault detection and diagnosis is significant for reducing maintenance co...
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02/12/2023
SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data
Intelligent fault diagnosis has made extraordinary advancements currentl...
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02/03/2023
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples
In real industrial processes, fault diagnosis methods are required to le...
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12/21/2022
UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering
Medical Visual Question Answering (Medical-VQA) aims to to answer clinic...
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06/22/2022
Evolutionary Game-Theoretical Analysis for General Multiplayer Asymmetric Games
Evolutionary game theory has been a successful tool to combine classical...
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02/27/2022
Obstacle Avoidance of Resilient UAV Swarm Formation with Active Sensing System in the Dense Environment
This paper proposes a perception-shared and swarm trajectory global opti...
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02/13/2022
Continuous Occupancy Mapping in Dynamic Environments Using Particles
Dynamic occupancy maps were proposed in recent years to model the obstac...
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01/17/2022
Risk-aware Trajectory Sampling for Quadrotor Obstacle Avoidance in Dynamic Environments
Obstacle avoidance of quadrotors in dynamic environments is still a very...
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11/22/2021
Robust Visual Odometry Using Position-Aware Flow and Geometric Bundle Adjustment
In this paper, an essential problem of robust visual odometry (VO) is ap...
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12/24/2020
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
AlphaStar, the AI that reaches GrandMaster level in StarCraft II, is a r...
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12/01/2020
A Unified Structure for Efficient RGB and RGB-D Salient Object Detection
Salient object detection (SOD) has been well studied in recent years, es...
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12/01/2020
How to fine-tune deep neural networks in few-shot learning?
Deep learning has been widely used in data-intensive applications. Howev...
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11/20/2020
Segmentation overlapping wear particles with few labelled data and imbalance sample
Ferrograph image segmentation is of significance for obtaining features ...
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10/14/2020
Ferrograph image classification
It has been challenging to identify ferrograph images with a small datas...
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09/26/2019
A Symmetric Equilibrium Generative Adversarial Network with Attention Refine Block for Retinal Vessel Segmentation
Objective: Recognizing retinal fundus vessel abnormity is vital to early...
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02/11/2019
Accelerating Partial Evaluation in Distributed SPARQL Query Evaluation
Partial evaluation has recently been used for processing SPARQL queries ...
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02/07/2019
Artificial Intelligence for Prosthetics - challenge solutions
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...
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12/18/2018
Continual Match Based Training in Pommerman: Technical Report
Continual learning is the ability of agents to improve their capacities ...
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07/20/2018
gSMat: A Scalable Sparse Matrix-based Join for SPARQL Query Processing
Resource Description Framework (RDF) has been widely used to represent i...
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11/17/2017
Towards the Adoption of Anti-spoofing Protocols for Email Systems
Email spoofing is a critical step of phishing, where the attacker impers...
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03/29/2017