[HTML][HTML] A Review of Smart Photovoltaic Systems Which Are Using Remote-Control, AI, and Cybersecurity Approaches
In recent years, interest in renewable energy and photovoltaic systems has increased
significantly. The design and implementation of photovoltaic systems are various, and they …
significantly. The design and implementation of photovoltaic systems are various, and they …
Novel approach to energy consumption estimation in smart homes: application of data mining and optimization techniques
M Lin, L Peng, T Liu, L Zhang - Frontiers in Energy Research, 2024 - frontiersin.org
Buildings account for a significant portion of total energy consumption, and the introduction
of intelligent buildings represents a significant step forward in efficiently managing energy …
of intelligent buildings represents a significant step forward in efficiently managing energy …
[HTML][HTML] Enhancing buildings' energy efficiency prediction through advanced data fusion and fuzzy classification
M Grossouvre, D Rullière, J Villot - Energy and Buildings, 2024 - Elsevier
This study proposes a method to predict buildings' energy efficiency based on available
descriptive information and without a physical visit, by merging diverse datasets and …
descriptive information and without a physical visit, by merging diverse datasets and …
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 …