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Enhancing intrusion detection in IoT networks using machine learning-based feature selection and ensemble models
Internet of Things (IoT) technology has evolved significantly, transitioning from personal devices to powering smart cities and global deployments acr...
Feature Selection Using Hybrid Metaheuristic Algorithm for Email Spam Detection
Abstract In the present study, Krill Herd (KH) is proposed as a Feature Selection tool to detect spam email problems. This works by ...
Advancing food sustainability: a case study on improving rice yield prediction in Sri Lanka using weather-based, feature-engineered machine learning models
Food sustainability is crucial aspect in achieving several United Nations (UN) Sustainable Development Goals (SDGs). By integrating advanced technolog...
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Stability and Reproduction Dynamics in Fractional-Order Reaction-Diffusion Models of HIV/AIDS
This research focuses on introducing fractional‐order derivatives to an HIV/AIDS mathematical model in order to provide a good representation of disea...
Blended learning with AI role-play in English for tourism and hospitality
This mixed-methods quasi-experimental study examined whether AI-mediated role-play could support complaint-handling performance in an English for Tour...
Navigating complexity in offshore emergency response: lessons from the OMSAR 2024 exercise using effective management theory
Evaluating Large-Scale Emergency Exercises (LSEEs) within complex multi-agency landscapes remains a critical challenge for maritime transport governan...
Autonomy in Complexity: Cognitive Superiority of Human-Autonomy Systems
This article introduces the concept of Cognitive Superiority in Emergent, Dynamic, Global, and Evolutionary (EDGE) operations, addressing a critical r...
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