:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Guo, Zicheng, Wu, Shuqi, Zhu, Meixing, Guandi, He
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2508.11215
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Frequency-Aware Attention-LSTM for PM$_{2.5}$ Time Series Forecasting
by: Lu, Jiahui, et al.
Published: (2025)

Enhancing PM2.5 Data Imputation and Prediction in Air Quality Monitoring Networks Using a KNN-SINDy Hybrid Model
by: Choi, Yohan, et al.
Published: (2024)

Graph-Based Physics-Guided Urban PM2.5 Air Quality Imputation with Constrained Monitoring Data
by: Du, Shangjie, et al.
Published: (2025)

Simulating the Air Quality Impact of Prescribed Fires Using Graph Neural Network-Based PM$_{2.5}$ Forecasts
by: Liao, Kyleen, et al.
Published: (2023)

Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-Series Models
by: Gondal, Moazzam Umer, et al.
Published: (2026)

Long-Term PM2.5 Forecasting Using a DTW-Enhanced CNN-GRU Model
by: Naeini, Amirali Ataee, et al.
Published: (2025)

Flight Trajectory Prediction Using an Enhanced CNN-LSTM Network
by: Hao, Qinzhi, et al.
Published: (2024)

Ground-Level Near Real-Time Modeling for PM2.5 Pollution Prediction
by: Fox, Zachary R., et al.
Published: (2026)

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

A CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction
by: Kavianpour, Parisa, et al.
Published: (2021)

PM 2.5 Concentration Prediction Using CNN ‐ LSTM Model Based on Multi‐Feature Fusion
by: Zhiwen Wang, et al.
Published: (2025)

Performance Evaluation of Deep Learning Models for Water Quality Index Prediction: A Comparative Study of LSTM, TCN, ANN, and MLP
by: Ismail, Muhammad, et al.
Published: (2024)

Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model
by: Shen, Jiajiang, et al.
Published: (2024)

Cross-Resolution Attention Network for High-Resolution PM2.5 Prediction
by: Kheder, Ammar, et al.
Published: (2026)

Augmenting Ground-Level PM2.5 Prediction via Kriging-Based Pseudo-Label Generation
by: Duan, Lei, et al.
Published: (2024)

Speech Emotion Detection Based on MFCC and CNN-LSTM Architecture
by: Ouyang, Qianhe
Published: (2025)

Multi-Strategy Improved Snake Optimizer Accelerated CNN-LSTM-Attention-Adaboost for Trajectory Prediction
by: Li, Shiyang
Published: (2025)

Prediction of Lane Change Intentions of Human Drivers using an LSTM, a CNN and a Transformer
by: De Cristofaro, Francesco, et al.
Published: (2025)

A Parsimonious Setup for Streamflow Forecasting using CNN-LSTM
by: Pokharel, Sudan, et al.
Published: (2024)

CNN-LSTM Hybrid Architecture for Over-the-Air Automatic Modulation Classification Using SDR
by: Padhya, Dinanath, et al.
Published: (2025)

Bangla Fake News Detection Based On Multichannel Combined CNN-LSTM
by: George, Md. Zahin Hossain, et al.
Published: (2025)

Physics-Guided Inductive Spatiotemporal Kriging for PM2.5 with Satellite Gradient Constraints
by: Wang, Shuo, et al.
Published: (2025)

Spatial Transfer Learning for Estimating PM2.5 in Data-poor Regions
by: Gupta, Shrey, et al.
Published: (2024)

Enhancing Generalization in PPG-Based Emotion Measurement with a CNN-TCN-LSTM Model
by: Alghoul, Karim, et al.
Published: (2025)

Gradient Boosting Decision Tree with LSTM for Investment Prediction
by: Yu, Chang, et al.
Published: (2025)

Novel Approach for Predicting the Air Quality Index of Megacities through Attention-Enhanced Deep Multitask Spatiotemporal Learning
by: Khan, Harun, et al.
Published: (2024)

CNN-LSTM Hybrid Deep Learning Model for Remaining Useful Life Estimation
by: G, Muthukumar, et al.
Published: (2024)

Lightweight ML-Based Air Quality Prediction for IoT and Embedded Applications
by: Sami, Md. Sad Abdullah, et al.
Published: (2025)

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models
by: Gueriani, Afrah, et al.
Published: (2025)

Detection and Classification of Diseases in Multi-Crop Leaves using LSTM and CNN Models
by: Kanakala, Srinivas, et al.
Published: (2025)

Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data
by: Gong, Yuhao, et al.
Published: (2024)

Asymmetric-Loss-Guided Hybrid CNN-BiLSTM-Attention Model for Industrial RUL Prediction with Interpretable Failure Heatmaps
by: Abdullah, Mohammed Ezzaldin Babiker
Published: (2026)

HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
by: Chen, Ling, et al.
Published: (2021)

Ada-TransGNN: An Air Quality Prediction Model Based On Adaptive Graph Convolutional Networks
by: Wang, Dan, et al.
Published: (2025)

Advancing Gasoline Consumption Forecasting: A Novel Hybrid Model Integrating Transformers, LSTM, and CNN
by: Ranjbar, Mahmoud, et al.
Published: (2024)

A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
by: Shiri, Farhad Mortezapour, et al.
Published: (2023)

A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
by: Cheng, Yu, et al.
Published: (2025)

Chess Rating Estimation from Moves and Clock Times Using a CNN-LSTM
by: Omori, Michael, et al.
Published: (2024)

Optimizing PM2.5 Forecasting Accuracy with Hybrid Meta-Heuristic and Machine Learning Models
by: Ghafariasl, Parviz, et al.
Published: (2024)

Multidimensional precipitation index prediction based on CNN-LSTM hybrid framework
by: Wang, Yuchen, et al.
Published: (2025)