This article aims to examine the research trends in the development of mobile networks from
machine learning. The methodological approach starts from an analysis of 260 academic …

Machine Learning (ML) techniques, especially deep learning, are crucial to many
contemporary real world systems that use Computational Intelligence (CI) as their core …

Deep Learning and Enhanced Emissions Modeling and Deposition Prediction JCSIS
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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 …

CNN-Based Algorithm for Anomaly Detection in Electrocardiogram Signals (BiLSTM) 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 …

As discriminative transformations that are applied to features or as discriminative learning
algorit hms that are employed by classifiers, these methods can be utilized in any of those …

Object Detection in a UHD Video Stream in Real-Time Using HOG+SVM on a System-on-chip
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An Optimization Method for Support Vector Machines Training Based on Particle Swarms
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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 …