Abstract Machine intelligence continues to rise in popularity as an aid to the design and
discovery of novel metamaterials. The properties of metamaterials are essentially …

Particle swarm optimization (PSO) is a heuristic global optimization technique and an
optimization algorithm that is swarm intelligence-based. It is based on studies into the …

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
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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
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This survey presents a new optimization method named aquila optimizer (AO), motivated by
the hunting behavior of aquila. This optimizer is divided into four steps: choosing the search …

Evaluation of Particle Swarm Optimization for Support Vector Machine Training JCSIS
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Multitasking a deep neural network for time series load forecasting JCSIS 019928311823
info@jcsis.org JCSIS About Volumes Instructions Contact Editorials Login Register Multitasking …

Marine predator's algorithm (MPA) is a new optimization algorithm. It is a nature-inspired
metaheuristic that simulates predator behaviors when hunting prey. This paper presented a …