:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yuan, Fujiang, Fan, Yangrui, Bing, Xiaohuan, Tian, Zhen, Yuan, Chunhong, Li, Yankang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2510.23668
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mean Field Game-Based Interactive Trajectory Planning Using Physics-Inspired Unified Potential Fields
by: Tian, Zhen, et al.
Published: (2025)

HFL-FlowLLM: Large Language Models for Network Traffic Flow Classification in Heterogeneous Federated Learning
by: Tian, Jiazhuo, et al.
Published: (2025)

HyDRA: Hierarchical and Dynamic Rank Adaptation for Mobile Vision Language Model
by: Xi, Yuanhao, et al.
Published: (2025)

Analysis and Predictive Modeling of Solar Coronal Holes Using Computer Vision and ARIMA-LSTM Networks
by: Yun, Juyoung, et al.
Published: (2024)

Improving Traffic Flow Predictions with SGCN-LSTM: A Hybrid Model for Spatial and Temporal Dependencies
by: Cismaru, Alexandru T.
Published: (2024)

Parallel BiLSTM-Transformer networks for forecasting chaotic dynamics
by: Ma, Junwen, et al.
Published: (2025)

Joint Task Offloading, Inference Optimization and UAV Trajectory Planning for Generative AI Empowered Intelligent Transportation Digital Twin
by: Li, Xiaohuan, et al.
Published: (2026)

Enhancing Time Series Forecasting via a Parallel Hybridization of ARIMA and Polynomial Classifiers
by: Nguyen, Thanh Son, et al.
Published: (2025)

Adaptive Evolution Factor Risk Ellipse Framework for Reliable and Safe Autonomous Driving
by: Yuan, Fujiang, et al.
Published: (2025)

Validating Generalist Robots with Situation Calculus and STL Falsification
by: Li, Changwen, et al.
Published: (2026)

ASTM :Autonomous Smart Traffic Management System Using Artificial Intelligence CNN and LSTM
by: Goenawan, Christofel Rio
Published: (2024)

Multi-agent transformer-accelerated RL for satisfaction of STL specifications
by: Forsberg, Albin Larsson, et al.
Published: (2024)

Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting
by: Ali, Khalid, et al.
Published: (2025)

Marine Chlorophyll Prediction and Driver Analysis based on LSTM-RF Hybrid Models
by: Qian, Zhouyao, et al.
Published: (2025)

Network Level Spatial Temporal Traffic State Forecasting with Hierarchical-Attention-LSTM (HierAttnLSTM)
by: Zhang, Tianya
Published: (2022)

LLM-Augmented Traffic Signal Control with LSTM-Based Traffic State Prediction and Safety-Constrained Decision Support
by: Shi, Jiazhao
Published: (2026)

Artificial Intelligence in Traffic Systems
by: Saxena, Ritwik Raj
Published: (2024)

Back To The Future: A Hybrid Transformer-XGBoost Model for Action-oriented Future-proofing Nowcasting
by: Sun, Ziheng
Published: (2024)

XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation
by: Yin, Du, et al.
Published: (2024)

Research on Metro Transportation Flow Prediction Based on the STL-GRU Combined Model
by: Zhou, Zijie, et al.
Published: (2025)

TrafficSimAgent: A Hierarchical Agent Framework for Autonomous Traffic Simulation with MCP Control
by: Du, Yuwei, et al.
Published: (2025)

TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework
by: Ouyang, Jinhui, et al.
Published: (2024)

Air Quality Prediction Using LOESS-ARIMA and Multi-Scale CNN-BiLSTM with Residual-Gated Attention
by: Pahari, Soham, et al.
Published: (2025)

Hybrid Approach for Electricity Price Forecasting using AlexNet and LSTM
by: Sambana, Bosubabu, et al.
Published: (2025)

Bayes-Entropy Collaborative Driven Agents for Research Hypotheses Generation and Optimization
by: Duan, Shiyang, et al.
Published: (2025)

Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers
by: Ni, Haowei, et al.
Published: (2024)

Research on CNN-BiLSTM Network Traffic Anomaly Detection Model Based on MindSpore
by: Xiang, Qiuyan, et al.
Published: (2025)

Dynamic Meta-Learning for Adaptive XGBoost-Neural Ensembles
by: Sedek, Arthur
Published: (2025)

Neural Architecture Retrieval
by: Pei, Xiaohuan, et al.
Published: (2023)

Prediction of Highway Traffic Flow Based on Artificial Intelligence Algorithms Using California Traffic Data
by: Lee, Junseong, et al.
Published: (2025)

From ARIMA to Attention: Power Load Forecasting Using Temporal Deep Learning
by: Veluru, Suhasnadh Reddy, et al.
Published: (2026)

TFT-ACB-XML: Decision-Level Integration of Customized Temporal Fusion Transformer and Attention-BiLSTM with XGBoost Meta-Learner for BTC Price Forecasting
by: Din, Raiz Ud, et al.
Published: (2026)

Integrating Attention-Enhanced LSTM and Particle Swarm Optimization for Dynamic Pricing and Replenishment Strategies in Fresh Food Supermarkets
by: Liu, Xianchen, et al.
Published: (2025)

WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting
by: Theodoropoulos, Theodoros, et al.
Published: (2024)

Seg-LSTM: Performance of xLSTM for Semantic Segmentation of Remotely Sensed Images
by: Zhu, Qinfeng, et al.
Published: (2024)

Driving Intelligent IoT Monitoring and Control through Cloud Computing and Machine Learning
by: Li, Hanzhe, et al.
Published: (2024)

A Hybrid CNN-LSTM Deep Learning Model for Intrusion Detection in Smart Grid
by: Alsaiari, Abdulhakim, et al.
Published: (2025)

Wasserstein gradient flow for optimal probability measure decomposition
by: Han, Jiangze, et al.
Published: (2024)

Cross-Self KV Cache Pruning for Efficient Vision-Language Inference
by: Pei, Xiaohuan, et al.
Published: (2024)

EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba
by: Pei, Xiaohuan, et al.
Published: (2024)