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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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Technological dynamism and labor investment efficiency: exploring strategic resilience
This study contributes to the literature by exploring the impact of technological dynamism (TD) on labor investment efficiency, analyzing non-financia...
Tailoring Electronic Structure of NbB2 Nanorods Through Selenium Incorporation for Synergistically Enhanced Hydrogen Evolution and Triboelectric Energy Harvesting
ABSTRACT The sluggish hydrogen evolution reaction (HER) kinetics of non‐noble‐metal catalysts remain a major ch...
A review of lightweight intrusion detection and security mechanisms for resource constrained IoT and WSNs
Resource-constrained Internet of Things (IoT) devices and wireless sensor networks (WSNs) remain difficult to secure using conventional security mecha...
On a Ma-Minda type class of biconvex functions via q-analytic Balloon mappings
This paper introduces a new Ma–Minda type subclass of biconvex functions defined via subordination to a symmetric balloon-shaped domain generated by a...
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