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08/23/2023
Diagnosing Infeasible Optimization Problems Using Large Language Models
Decision-making problems can be represented as mathematical optimization...
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04/18/2023
A Voice Disease Detection Method Based on MFCCs and Shallow CNN
The incidence rate of voice diseases is increasing year by year. The use...
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04/05/2023
A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors
Liver transplantation is a life-saving procedure for patients with end-s...
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10/26/2022
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications
Transportation is the backbone of the economy and urban development. Imp...
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06/08/2022
Unsupervised Knowledge Adaptation for Passenger Demand Forecasting
Considering the multimodal nature of transport systems and potential cro...
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04/15/2022
Experimentally realized memristive memory augmented neural network
Lifelong on-device learning is a key challenge for machine intelligence,...
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05/13/2021
VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations
Document layout analysis is crucial for understanding document structure...
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11/20/2020
Compressive Shack-Hartmann Wavefront Sensing based on Deep Neural Networks
The Shack-Hartmann wavefront sensor is widely used to measure aberration...
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09/12/2020
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network
Accurate demand forecasting of different public transport modes(e.g., bu...
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07/06/2020