[HTML][HTML] EEG-based optimization of eye state classification using modified-BER metaheuristic algorithm
This article introduces the Modified Al-Biruni Earth Radius (MBER) algorithm, which seeks to
improve the precision of categorizing eye states as either open (0) or closed (1). The …
improve the precision of categorizing eye states as either open (0) or closed (1). The …
[HTML][HTML] AI-driven improvement of monthly average rainfall forecasting in Mecca using grid search optimization for LSTM networks
F Alqahtani - Journal of Water and Climate Change, 2024 - iwaponline.com
Predicting the average monthly rainfall in Mecca is crucial for sustainable development,
resource management, and infrastructure protection in the region. This study aims to …
resource management, and infrastructure protection in the region. This study aims to …
Optimizing long short-term memory networks for univariate time series forecasting: a comprehensive guide
M Abotaleb, PK Dutta - Hybrid Information Systems: Non-Linear …, 2024 - degruyter.com
This article presents a comprehensive exploration of the adaptation of long short-term
memory (LSTM) neural networks for univariate time series forecasting, a critical area in …
memory (LSTM) neural networks for univariate time series forecasting, a critical area in …
Deep learning precipitation prediction models combined with feature analysis
X Zhang, Z Zheng, H Li, F Liu, Q Yin - Environmental Science and …, 2023 - Springer
Precise rainfall forecasting modeling assumes a pivotal role in water resource planning and
management. Conducting a comprehensive analysis of the rainfall time series and making …
management. Conducting a comprehensive analysis of the rainfall time series and making …
[HTML][HTML] Enhancing Decision-Making in Highway Overtaking Scenarios with Graph Convolution Reinforcement Learning
MK Sam, W Gee, S Arkhstan, H Khan… - Journal of Computer …, 2024 - jcsis.org
Autonomous vehicles have a number of open challenges, one of which is decision-making
regarding motion, particularly while operating in an environment that is both complex and …
regarding motion, particularly while operating in an environment that is both complex and …
[HTML][HTML] Deep Learning and Enhanced Emissions Modeling and Deposition Prediction
Deep Learning and Enhanced Emissions Modeling and Deposition Prediction JCSIS
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[HTML][HTML] Crop Yield Estimation Using Spiking Neural Networks Through Spatiotemporal Analysis of Image Time Series
N OubeBlika, S Arkhstan, L Hongou… - Journal of Computer …, 2024 - jcsis.org
Crop Yield Estimation Using Spiking Neural Networks Through Spatiotemporal Analysis of
Image Time Series JCSIS 019928311823 info@jcsis.org JCSIS About Volumes Instructions …
Image Time Series JCSIS 019928311823 info@jcsis.org JCSIS About Volumes Instructions …
[HTML][HTML] CNN-Based Algorithm for Anomaly Detection in Electrocardiogram Signals (BiLSTM)
CNN-Based Algorithm for Anomaly Detection in Electrocardiogram Signals (BiLSTM) JCSIS
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[HTML][HTML] Evaluation of Particle Swarm Optimization for Support Vector Machine Training
N OubeBlika, S Arkhstan, W Zhang… - Journal of Computer …, 2024 - jcsis.org
Evaluation of Particle Swarm Optimization for Support Vector Machine Training JCSIS
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[HTML][HTML] Multitasking a deep neural network for time series load forecasting
S Arkhstan, NM Soufian, L Hongou - Journal of Computer Science & …, 2024 - jcsis.org
Multitasking a deep neural network for time series load forecasting JCSIS 019928311823
info@jcsis.org JCSIS About Volumes Instructions Contact Editorials Login Register Multitasking …
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