Articles
Open Access
2024-08-19
Vol. 11 No. 2 (2024): Volume 11 Issue 2
Pages 50-55
Feature selection is a fundamental problem in machine learning and data-driven optimization, directly influencing model efficiency, accuracy, and computational cost. Traditional metaheuristic algorithms often struggle with premature convergence and local optima entrapment,...
Authors:
Dr. Kwame Mensah, Prof. Abena Owusu (Author)
Opposition-based optimization
Great Wall Construction
Gaussian mutation
Feature selection
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207
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Articles
Open Access
2024-09-11
Vol. 11 No. 2 (2024): Volume 11 Issue 2
Pages 56-61
Precision agriculture has emerged as a transformative approach to optimizing crop yield, resource utilization, and environmental sustainability. Among emerging technologies, deep learning-based anomaly detection has gained prominence due to its ability to identify...
Authors:
Dr. Haruto Tanak, Prof. Aiko Nakamura (Author)
Precision Agriculture
Deep Learning
Anomaly Detection
Convolutional Neural Networks
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185
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Articles
Open Access
2024-10-11
Vol. 11 No. 2 (2024): Volume 11 Issue 2
Pages 62-67
The rapid expansion of enterprise networks, coupled with increased cyber threats, necessitates the integration of security services directly within network access control architectures. Traditional perimeter-based defenses are insufficient for addressing dynamic threats in...
Authors:
Dr. Haruto Nakamura, Prof. Aiko Fujimoto (Author)
Network Access Control
Security Services Integration
Service Function Chaining
Zero Trust Architecture
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253
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Articles
Open Access
2024-11-30
Vol. 11 No. 2 (2024): Volume 11 Issue 2
Pages 68-74
Cerebral hemodynamics in the context of embolic ischemic stroke remains a critical determinant of neurological outcome. This study presents a technical investigation of mean arterial pressure (MAP) effects on cerebral arteries using a lumped parameter modeling approach. The...
Authors:
Dr. Li Wei, Prof. Zhang Min (Author)
Cerebral hemodynamics
mean arterial pressure
embolic ischemic stroke
lumped parameter model
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136
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