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Short term memory

Research on LSTM-based spatial target trajectory forecasting enhanced by attention mechanisms

Qingshan Luo, Jiahao Ji, [ ... ], Yunsheng Yao

Research on temperature prediction model for key components in highspeed rail electrical cabinets based on LSTM

Lihui Zhou, Xiansheng Liu, Shuai Jin

An approach of state-of-charge prediction for lithium-ion batteries using hybrid Pyraformer-LSTM learning network

Xianbin Wang, Liping Zhang, [ ... ], Huimin Chen

Hybrid 1D CNN-BiLSTM with focal loss for robust intrusion detection in in-vehicle CAN networks

A. Malini, Gerardine Immaculate Mary

Efficient and lightweight long-range modeling for 3d point cloud classification and segmentation

Dongzhen Liu, Yuzhong Deng, Jianxiao Zou, Shicai Fan

UAMP: Consistent video object segmentation with uncertainty-aware memory propagation

Yichuang Luo, Fang Wang, Xiaohu Liu

Optimized feature selection and zero-parameter channel attention BiLSTM for RPL-attack classification in IoT networks

Sudha Rani Unnam, Kareemulla Shaik

A hybrid transformer-BiLSTM model optimized with Firefly Algorithm for network traffic anomaly detection

Debiao Luo, Weijie Wang, [ ... ], Jia Zhang

DG-LSTM-SA model: A deep gated LSTM network with self-attention mechanism for power generation and load forecasting

Guoqiang Sun, Yang Zhao, [ ... ], Xiaoyan Qi

IGNN: An improved graph neufral network with integrated attention and pre-message-passing for few-shot image classification

Jianxiong Chen, Bingwei Fu, Lin Zou

A load forecasting method based on edge graph attention network

Mengze Gu, Xueping Li, Yao Cai

LightTrack-ReID: A lightweight and occlusion-robust framework for multi-object tracking

Said Baz Jahfar Khan, Peng Zhang, Mian Muhammad Kamal, Abdul Khader Jilani Saudagar

Forecasting crude oil futures price with energy uncertainty: Evidence from machine learning methods

Xiaolu Wei

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