Buchumschlag

Research on Dew Intensity Prediction Based on ARO ‐Optimized LSTM ‐ GRU Hybrid Model

Fuente: Wiley Open Access

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Yue Zhao, Shiying Xin, Yifei Cai, Yi Zhang
Format:	Artículo Open Access
Veröffentlicht:	Wiley 2026
Schlagworte:	Concurrency and Computation: Practice and Experience
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

MH‐ARO: Meta‐heuristic based adaptive routing for large scale opportunistic networks
von: Soni Chaurasia, et al.
Veröffentlicht: (2024)

Remaining Useful Life Prediction for Exciter Rolling Bearing Based on Self‐Attentive CNN–GRU
von: Xiaoming Han, et al.
Veröffentlicht: (2025)

Predictive Modeling for Fire Severity to Optimize Emergency Resource Allocation
von: Max Yue‐Feng Wang, et al.
Veröffentlicht: (2025)

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

KAN‐LSTM: A New LSTM Structure for the Prediction of the Stock Market
von: Cheng Zhu, et al.
Veröffentlicht: (2025)

Research on Prediction of Pollutant Removal Rate in Constructed Wetlands Based on Machine Learning
von: Yi Zhang, et al.
Veröffentlicht: (2026)

Research on Optimization Algorithm and Application of Improved Northern Goshawk Based on Fusion Strategy
von: Xu Yong, et al.
Veröffentlicht: (2025)

Prediction of Carbon Emission Rights Trading Prices Based on the CNN–LSTM Model in the Context of Carbon Peak: Taking Guangdong Province as an Example
von: Tinggui Chen, et al.
Veröffentlicht: (2025)

HCRP‐OSD: Fine‐Grained Open‐Set Intrusion Detection Based on Hybrid Convolution and Adversarial Reciprocal Points Learning
von: Nengfu Cai, et al.
Veröffentlicht: (2025)

An Efficient Self‐Attention Based Hybrid Deep Learning Model for Stock Prediction
von: Nitalaksheswara Rao Kolukula, et al.
Veröffentlicht: (2026)

A Joint SOC Estimation Method Based on FFRLS ‐ AEKF ‐ LSTM
von: Min Wei, et al.
Veröffentlicht: (2025)

Construction and Application of a Digital Platform for Charitable Cultural Resources Integrating VR Technology and BiGRU
von: Huifang Liu, et al.
Veröffentlicht: (2025)

Integration of Knowledge Graph and CNN‐GRU in College Students' Mental Health Education and Psychological Crisis Intervention
von: Biao Gan, et al.
Veröffentlicht: (2025)

Class‐Unbalanced Sample Oriented Network Intrusion Detection Model Based on SSA and CNN ‐ LSTM in Big Data Network
von: Xiaogang Yuan, et al.
Veröffentlicht: (2025)

Enhanced Video Summarization Using BiLSTM Encoder–Decoder With Attention Mechanism and Particle Swarm Optimization
von: Ramniwas Lodhi, et al.
Veröffentlicht: (2026)

Comparison of Positioning Error Prediction Results of Industrial Robots Based on Three Different Types of Neural Networks
von: Xin Wang
Veröffentlicht: (2024)

An Explainable Transformer‐Based Model for Predicting Chronic Diseases Risk
von: Nan Xu, et al.
Veröffentlicht: (2026)

SOC Prediction Model for Lithium‐Ion Batteries Based on Improved CEEMD With Adaptive Noise and Stacking Ensemble Learning
von: Song‐Bo Zhang, et al.
Veröffentlicht: (2026)

An AI ‐Enabled Privacy‐Preserving Federated Learning Framework of Hybrid bi‐ LSTM ‐ RNN ‐ CNN for Deep Intelligent Intrusion Detection in Fog Computing in the IoT Domain
von: Vijay Prakash, et al.
Veröffentlicht: (2025)

Optimal Sampling Rate Selection for Parallel Hybrid Sampling Framework of Imbalanced Data Classification
von: Zhuo Zhao, et al.
Veröffentlicht: (2025)

Deep Reinforcement Learning for Cloud Manufacturing Task Scheduling via Sparse‐Reward Optimization
von: Shanchen Pang, et al.
Veröffentlicht: (2026)

Sentiment Intensity Contrastive Text‐Enhanced Fusion Network
von: Heng Jiang, et al.
Veröffentlicht: (2026)

Multi‐Strategy Fusion Binary Zebra Optimization Algorithm for Solving Complex Industrial Process Data Feature Selection and Prediction Models
von: Yi‐Peng Shang‐Guan, et al.
Veröffentlicht: (2025)

MH ‐ XAI : Hybrid Deep Learning and XGBoost Explainable AI Model for Mental Health Prediction
von: Priyanka, et al.
Veröffentlicht: (2026)

Calibrated Network Security Situation Prediction Based on Neural Granger Causal Representation and Bayesian Graph Neural Networks
von: Peng Zhang, et al.
Veröffentlicht: (2026)

Short‐Term Power Load Prediction Based on Cluster Analysis and Temporal Convolutional Networks of Attention Mechanism
von: Shuqi Niu, et al.
Veröffentlicht: (2025)

Comparing Machine Learning Models for Short‐Term U.S. Treasury Yield Forecasting
von: Max Yue‐Feng Wang, et al.
Veröffentlicht: (2025)

Intelligent botnet detection in IoT networks using parallel CNN‐LSTM fusion
von: Rongrong Jiang, et al.
Veröffentlicht: (2024)

Residual Attention‐Based Hybrid Neural Network for sEMG Gesture Recognition
von: Haozhu Wang, et al.
Veröffentlicht: (2025)

Enhancing CNN‐LSTM neural networks using jellyfish search algorithm for pandemic modeling
von: Azade Hashemi Feriz, et al.
Veröffentlicht: (2024)

Skill Prediction and Player Re‐Identification Using Serial Exponential Ring Toss Game‐Based Optimization Based Deep Maxout Network
von: Tzu‐Chia Chen
Veröffentlicht: (2025)

Recursive Hybrid Compression for Sparse Matrix‐Vector Multiplication on GPU
von: Zhixiang Zhao, et al.
Veröffentlicht: (2025)

A Multi‐Task Learning V‐Net Model for Working Length Prediction in Volumetric Dental Cone Beam Computed Tomography Images
von: Jing Li, et al.
Veröffentlicht: (2026)

A Multi‐Workflow Scheduling Approach With Explicit Evolutionary Multi‐Objective Multi‐Task Optimization Algorithm in Cloud Environment
von: Qiqi Zhang, et al.
Veröffentlicht: (2024)

Research of Key Technologies of Distributed Stream Processing Based on FaaS
von: Qinlu He, et al.
Veröffentlicht: (2025)

Research on Potato Leaf Disease Recognition Method Based on Convolutional Neural Networks
von: Yin Li, et al.
Veröffentlicht: (2025)

TPST : A Traffic Flow Prediction Model Based on Spatial–Temporal Identity
von: Yuchen Hou, et al.
Veröffentlicht: (2025)

A Three‐Stage Prediction Model Based on Transformer for Chronic Kidney Disease
von: Yifeng Lu, et al.
Veröffentlicht: (2025)

Intelligent Network Security Optimization Algorithm Based on Cnns
von: Meirong Zheng, et al.
Veröffentlicht: (2025)

Modern Advances in Artificial Intelligence Across the Athletic Domain
von: Xin Zhao, et al.
Veröffentlicht: (2025)