Sequential Modeling in Marine Navigation
The maritime industry’s continuous commitment to sustainability has led to a dedicated exploration of methods to reduce vessel fuel consumption.
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Project
This is the list of my personal projects.
DMFuser: Distilled Multi-Task Learning for End-to-end Transformer-Based Sensor Fusion in Autonomous Driving
In the context of end-to-end autonomous driving, current sensor fusion techniques for imitation learning are insufficient} in challenging scenarios involving
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Fuel consumption prediction for passanger Ferry
This project is accepted at journal of ocean engineering in a regular paper entitled “Fuel Consumption Prediction for a Passenger
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NLP projects for beginners
Here is the content in an immersive summer camp designed specifically for students in grades 9 and 10 who are
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MLAAS: use streamlit for ML deployment
Using Streamlit, we deploy exploratory data analysis (EDA) for different tabular dataset. The following data are preloaded in the model: The
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LetFuser: Autonomous driving with transformers
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning In end-to-end autonomous driving, the utilization of existing
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ARMCMC: Bayesian Online Full Density Estimation of Model Parameters
The Bayesian paradigm provides a rigorous framework for estimating the whole probability distribution over unknown parameters, but due to high
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Statistical Machine learning projects
GitHub The first project (party affiliation prediction) is from this link. The second project (denoising) is from this link. Party
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Tabu search
The code was inspired by the medium post. Github What is Tabu Search? Tabu Search is a commonly used meta-heuristic
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Stable Adaptive Model Learning of Neural Networks
Since batch algorithms suffer from lack of proficiency in confronting model mismatches and disturbances, this contribution proposes an adaptive scheme
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