Summary of Smartphone-based Eye Tracking System Using Edge Intelligence and Model Optimisation, by Nishan Gunawardena et al.
Smartphone-based Eye Tracking System using Edge Intelligence and Model Optimisationby Nishan Gunawardena, Gough Yumu Lui,…
Summary of Vintern-1b: An Efficient Multimodal Large Language Model For Vietnamese, by Khang T. Doan et al.
Vintern-1B: An Efficient Multimodal Large Language Model for Vietnameseby Khang T. Doan, Bao G. Huynh,…
Summary of Predicting Solar Energy Generation with Machine Learning Based on Aqi and Weather Features, by Arjun Shah et al.
Predicting Solar Energy Generation with Machine Learning based on AQI and Weather Featuresby Arjun Shah,…
Summary of Risk Analysis in Customer Relationship Management Via Quantile Region Convolutional Neural Network-long Short-term Memory and Cross-attention Mechanism, by Yaowen Huang and Jun Der Leu and Baoli Lu and Yan Zhou
Risk Analysis in Customer Relationship Management via Quantile Region Convolutional Neural Network-Long Short-Term Memory and…
Summary of Cross-border Commodity Pricing Strategy Optimization Via Mixed Neural Network For Time Series Analysis, by Lijuan Wang and Yijia Hu and Yan Zhou
Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysisby Lijuan Wang,…
Summary of Recording Brain Activity While Listening to Music Using Wearable Eeg Devices Combined with Bidirectional Long Short-term Memory Networks, by Jingyi Wang and Zhiqun Wang and Guiran Liu
Recording Brain Activity While Listening to Music Using Wearable EEG Devices Combined with Bidirectional Long…
Summary of Self-supervised Learning For Geospatial Ai: a Survey, by Yile Chen et al.
Self-supervised Learning for Geospatial AI: A Surveyby Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang,…
Summary of Domain Adaptation For Offline Reinforcement Learning with Limited Samples, by Weiqin Chen et al.
Domain Adaptation for Offline Reinforcement Learning with Limited Samplesby Weiqin Chen, Sandipan Mishra, Santiago PaternainFirst…
Summary of Deep Analysis Of Time Series Data For Smart Grid Startup Strategies: a Transformer-lstm-pso Model Approach, by Zecheng Zhang
Deep Analysis of Time Series Data for Smart Grid Startup Strategies: A Transformer-LSTM-PSO Model Approachby…
Summary of Recent Advances on Machine Learning For Computational Fluid Dynamics: a Survey, by Haixin Wang et al.
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Surveyby Haixin Wang, Yadi Cao,…