Predicting long-term air pollutant concentrations through deep learning-based integration of heterogeneous urban data DOI
Chao Chen, Hui Liu,

Chengming Yu

et al.

Atmospheric Pollution Research, Journal Year: 2024, Volume and Issue: 15(11), P. 102282 - 102282

Published: Aug. 8, 2024

Language: Английский

Apply a deep learning hybrid model optimized by an Improved Chimp Optimization Algorithm in PM2.5 prediction DOI Creative Commons
Ming Wei,

Xiaopeng Du

Machine Learning with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 100624 - 100624

Published: Jan. 1, 2025

Language: Английский

Citations

1

Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models DOI
José Henrique Kleinübing Larcher, Stéfano Frizzo Stefenon, Leandro dos Santos Coelho

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 255, P. 124856 - 124856

Published: July 24, 2024

Language: Английский

Citations

7

An attention mechanism augmented CNN-GRU method integrating optimized variational mode decomposition and frequency feature classification for complex signal forecasting DOI
Congxin Wei,

Zheng Quan,

Zhifeng Qian

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126464 - 126464

Published: Jan. 1, 2025

Language: Английский

Citations

0

How Does the Color Palette Affect the Pricing of Abstract Paintings? DOI
Maksim Borisov, Valeria Kolycheva, A. Semenov

et al.

Information Systems Frontiers, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

Language: Английский

Citations

0

Mixture of experts leveraging informer and LSTM variants for enhanced daily streamflow forecasting DOI

Zerong Rong,

Wei Sun, Yutong Xie

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132737 - 132737

Published: Jan. 1, 2025

Language: Английский

Citations

0

FPGA-accelerated hybrid CNN-LSTM system for efficient EEG-based drowsiness recognition DOI
Rama Muni Reddy Yanamala,

P. Muralidhar

The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(3)

Published: Jan. 31, 2025

Language: Английский

Citations

0

Recent Advances in Automatic Modulation Classification Technology: Methods, Results, and Prospects DOI Creative Commons
Qinghe Zheng, Xinyu Tian, Lisu Yu

et al.

International Journal of Intelligent Systems, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

As an essential technology for spectrum sensing and dynamic access, automatic modulation classification (AMC) is a critical step in intelligent wireless communication systems, aiming at automatically recognizing the schemes of received signals. In practice, AMC challenging due to influence environment signal parameters, such as unknown channels, noise, symbol rate, length, sampling frequency. this survey, we investigated series typical methods, including key technology, performance comparisons, advantages, challenges, future development directions. According methodology processing flow, methods are divided into three categories: likelihood‐based (Lb) feature‐based (Fb) deep learning methods. The technical details various types introduced discussed, likelihood distributions, artificial features, classifiers, network structures. Then, extensive experimental results state‐of‐the‐art on public or simulated datasets compared analyzed. Despite achievements that have been made, there still limitations individual generalization capability, reasoning efficiency, model complexity, robustness. end, summarized severe challenges faced by research

Language: Английский

Citations

0

Optimized Fingerprint Crime Detection using Robust Deformed Convolutional Neural Network for 5G Network Secure Smart Cities DOI

Krishnakumar K,

Suli Ma,

Gritzalis Dimitris A.

et al.

Knowledge-Based Systems, Journal Year: 2025, Volume and Issue: unknown, P. 113342 - 113342

Published: March 1, 2025

Language: Английский

Citations

0

Optimized Deep Learning for Pedestrian Safety in Autonomous Vehicles DOI Creative Commons
Wajdi Farhat, Olfa Ben Rhaiem, Hassene Faiedh

et al.

International Journal of Transportation Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0

A spatiotemporal deep learning ensemble for multi-step PM2.5 prediction: A case study of Bangkok metropolitan region in Thailand DOI
Veerasit Kaewbundit,

Chaiyo Churngam,

Papis Wongchaisuwat

et al.

Atmospheric Pollution Research, Journal Year: 2025, Volume and Issue: unknown, P. 102406 - 102406

Published: Jan. 1, 2025

Language: Английский

Citations

0