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 …

Predicting the average monthly rainfall in Mecca is crucial for sustainable development,
resource management, and infrastructure protection in the region. This study aims to …

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 …

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 …

RETRACTED: Long-term and short-term rainfall forecasting using deep neural network
optimized with flamingo search optimization algorithm - IOS Press You are viewing a javascript …

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 …

Deep Learning and Enhanced Emissions Modeling and Deposition Prediction JCSIS
019928311823 info@jcsis.org JCSIS About Volumes Instructions Contact Editorials Login …

This chapter delves into the nuanced process of optimizing convolutional neural networks
(CNNs) for univariate time series forecasting, an area of critical importance in predictive …

Crop Yield Estimation Using Spiking Neural Networks Through Spatiotemporal Analysis of
Image Time Series JCSIS 019928311823 info@jcsis.org JCSIS About Volumes Instructions …

CNN-Based Algorithm for Anomaly Detection in Electrocardiogram Signals (BiLSTM) JCSIS
019928311823 info@jcsis.org JCSIS About Volumes Instructions Contact Editorials Login …