On the public citation graph

Groundwater Level Prediction Based on Ssa-Optimized Self-Attention Mechanism and Bilstm Hybrid Model

https://doi.org/10.2139/ssrn.5281620
0 signed · 40 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/widm.1484openalex-snapshot
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
inferredcites →https://doi.org/10.1007/978-3-642-24797-2_4openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1007/s10618-019-00619-1openalex-snapshot
Deep learning for time series classification: a review
inferredcites →https://doi.org/10.1007/s10924-023-03077-5openalex-snapshot
Construction of PVC/PVA WO3 3D Nanostructure Thin Film Nanocomposite for Treatment of Oil Refinery Wastewater
inferredcites →https://doi.org/10.1016/j.ejrh.2024.102120openalex-snapshot
Adaptive period decomposition network with muti-scale temporal variation learning for water level prediction
inferredcites →https://doi.org/10.1016/j.ijdrr.2024.104263openalex-snapshot
A spatial–temporal deep learning-based warning system against flooding hazards with an empirical study in Taiwan
inferredcites →https://doi.org/10.1016/j.jher.2022.10.002openalex-snapshot
Two-step daily reservoir inflow prediction using ARIMA-machine learning and ensemble models
inferredcites →https://doi.org/10.1016/j.jhydrol.2022.127630openalex-snapshot
Data-driven models for accurate groundwater level prediction and their practical significance in groundwater management
inferredcites →https://doi.org/10.1016/j.jhydrol.2024.132430openalex-snapshot
EKLT: Kolmogorov-Arnold attention-driven LSTM with Transformer model for river water level prediction
inferredcites →https://doi.org/10.1016/j.neunet.2005.06.042openalex-snapshot
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
inferredcites →https://doi.org/10.1016/j.rineng.2023.100951openalex-snapshot
Particle swarm optimization based LSTM networks for water level forecasting: A case study on Bangladesh river network
inferredcites →https://doi.org/10.1038/s41598-020-70416-0openalex-snapshot
Modelling water levels of northwestern India in response to improved irrigation use efficiency
inferredcites →https://doi.org/10.1080/19942060.2023.2192258openalex-snapshot
Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data
inferredcites →https://doi.org/10.1080/21642583.2019.1708830openalex-snapshot
A novel swarm intelligence optimization approach: sparrow search algorithm
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/access.2019.2960775openalex-snapshot
Data Augmentation for Deep Learning-Based Radio Modulation Classification
inferredcites →https://doi.org/10.1109/ccai50917.2021.9447507openalex-snapshot
A Time Series Data Augmentation Method Based on Dynamic Time Warping
inferredcites →https://doi.org/10.1109/embc.2018.8512396openalex-snapshot
Biosignal Data Augmentation Based on Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053671openalex-snapshot
Data Augmentation Using Empirical Mode Decomposition on Neural Networks to Classify Impact Noise in Vehicle
inferredcites →https://doi.org/10.1109/icdm.2017.106openalex-snapshot
Generating Synthetic Time Series to Augment Sparse Datasets
inferredcites →https://doi.org/10.1145/3583593openalex-snapshot
TS-GAN: Time-series GAN for Sensor-based Health Data Augmentation
inferredcites →https://doi.org/10.12677/jwrr.2020.92015openalex-snapshot
Numerical Analysis of Groundwater Anisotropy Based on MODFLOWF
inferredcites →https://doi.org/10.1371/journal.pone.0302294openalex-snapshot
A hybrid feature weighted attention based deep learning approach for an intrusion detection system using the random forest algorithm
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015409openalex-snapshot
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series
inferredcites →https://doi.org/10.1609/aaai.v35i10.17071openalex-snapshot
Joint-Label Learning by Dual Augmentation for Time Series Classification
inferredcites →https://doi.org/10.21236/ada164453openalex-snapshot
Learning Internal Representations by Error Propagation
inferredcites →https://doi.org/10.30955/gnj.005821openalex-snapshot
Water Quality Index Prediction and Classification using Hyperparameter Tuned Deep Learning Approach
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.3390/electronics12010096openalex-snapshot
Improving Modulation Recognition Using Time Series Data Augmentation via a Spatiotemporal Multi-Channel Framework
inferredcites →https://doi.org/10.3390/math10163019openalex-snapshot
A Hybrid Sparrow Search Algorithm of the Hyperparameter Optimization in Deep Learning
inferredcites →https://doi.org/10.3390/rs16142595openalex-snapshot
Enhancing the Performance of Machine Learning and Deep Learning-Based Flood Susceptibility Models by Integrating Grey Wolf Optimizer (GWO) Algorithm
inferredcites →https://doi.org/10.3390/s20010098openalex-snapshot
Data Augmentation with Suboptimal Warping for Time-Series Classification
inferredcites →https://doi.org/10.3390/s24123897openalex-snapshot
Forecasting a Short-Term Photovoltaic Power Model Based on Improved Snake Optimization, Convolutional Neural Network, and Bidirectional Long Short-Term Memory Network
inferredcites →https://doi.org/10.3390/w12030760openalex-snapshot
ARIMA-M: A New Model for Daily Water Consumption Prediction Based on the Autoregressive Integrated Moving Average Model and the Markov Chain Error Correction
inferredcites →https://doi.org/10.3390/w16081179openalex-snapshot
Research on Annual Runoff Prediction Model Based on Adaptive Particle Swarm Optimization–Long Short-Term Memory with Coupled Variational Mode Decomposition and Spectral Clustering Reconstruction
inferredcites →https://doi.org/10.3847/1538-4357/ac6f5aopenalex-snapshot
Improving Astronomical Time-series Classification via Data Augmentation with Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1803.08375openalex-snapshot
Deep Learning using Rectified Linear Units (ReLU)
inferredcites →https://doi.org/10.48550/arxiv.2102.08310openalex-snapshot
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation
inferredcites →https://doi.org/10.48550/arxiv.2206.13676openalex-snapshot
TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation
inferredcites →https://doi.org/10.48550/arxiv.2408.10951openalex-snapshot
Wave-Mask/Mix: Exploring Wavelet-Based Augmentations for Time Series Forecasting
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.