Ensemble multifeatured deep learning models and applications: A survey
Ensemble multifeatured deep learning methodology has emerged as a powerful approach
to overcome the limitations of single deep learning models in terms of generalization …
to overcome the limitations of single deep learning models in terms of generalization …
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 …
Deep Learning and Enhanced Emissions Modeling and Deposition Prediction
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
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 …
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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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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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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A technique to reduce support vector machine error in feature transformation base d on multi-objective particle swarm optimization
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 …
algorit hms that are employed by classifiers, these methods can be utilized in any of those …
Equipment Sensor Signal Feature Extraction Through Time Series Clustering and Its Application in Defect Prediction
N Behdad, L Hongou, H Khan, W Gee… - Journal of Computer …, 2024 - jcsis.org
Equipment Sensor Signal Feature Extraction Through Time Series Clustering and Its
Application in Defect Prediction JCSIS 019928311823 info@jcsis.org JCSIS About Volumes …
Application in Defect Prediction JCSIS 019928311823 info@jcsis.org JCSIS About Volumes …
Object Detection in a UHD Video Stream in Real-Time Using HOG+ SVM on a System-on-chip FPGA
NM Soufian, D Winters, H Khan - Journal of Computer Science & …, 2024 - jcsis.org
Object Detection in a UHD Video Stream in Real-Time Using HOG+SVM on a System-on-chip
FPGA JCSIS 019928311823 info@jcsis.org JCSIS About Volumes Instructions Contact …
FPGA JCSIS 019928311823 info@jcsis.org JCSIS About Volumes Instructions Contact …