[PDF][PDF] Advances and challenges in feature selection methods: a comprehensive review

MZ Ali, A Abdullah, AM Zaki, FH Rizk… - J Artif Intell …, 2024 - researchgate.net
The feature selection area in data analytics is explored through a comprehensive literature
review, and the increasing areas that have a data dependency problem and are being …

Advancements and Future Directions in Machine Learning for Medical Diagnostics: A Comprehensive Review

B Sameh, N Khodadadi, MM Eid, SK Towfek - Full Length Article, 2024 - americaspg.com
Abstract Machine learning (ML) based techniques have enjoyed significant popularity in
addressing the hostility of numerous problems in a range of applications, such as finance …

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 …

Deep Learning and Enhanced Emissions Modeling and Deposition Prediction

MK Sam, W Gee, N Zlatan, K Shazly - Journal of Computer Science & …, 2024 - jcsis.org
Deep Learning and Enhanced Emissions Modeling and Deposition Prediction JCSIS
019928311823 info@jcsis.org JCSIS About Volumes Instructions Contact Editorials Login …

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 …

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

N Behdad, N Zlatan, K Shazly - Journal of Computer Science & Information …, 2024 - jcsis.org
CNN-Based Algorithm for Anomaly Detection in Electrocardiogram Signals (BiLSTM) JCSIS
019928311823 info@jcsis.org JCSIS About Volumes Instructions Contact Editorials Login …

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
019928311823 info@jcsis.org JCSIS About Volumes Instructions Contact Editorials Login …

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 …

A technique to reduce support vector machine error in feature transformation base d on multi-objective particle swarm optimization

MK Sam, W Zhang, K Shazly - Journal of Computer Science & Information …, 2024 - jcsis.org
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 …

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 …