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Featured Publications
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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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Erratum to ‘Egg–shaped Type V composite hydrogen vessels: Buckling and first burst assessment for deep–sea applications’ [Int J Hydrogen Energy 236 (2026) 155064]
Nanoarchitectonics of nitrogen/selenium functionalized Co-ZIF-9(III) nanorod/nanosheet for nanomolar-level detection of nitrofurantoin antibiotics in environmental and biomedical samples
as confirmed by multiple electrochemical measurements. Selectivity tests against potential interferents confirmed the sensor's excellent specificity, ...
Adaptive Measurement Noise for Robust Kalman Filtering in Smart Beehive Telemetry
Honeybee colony monitoring generates multimodal, non-stationary telemetry streams that require reliable recursive state estimation with well-calibrate...
When complicated governance meets complex reality: epistemic breakdown in a safety-critical acquisition programme
Safety-critical programmes are typically governed by architectures designed for complicated problems, yet the systems they govern are frequently compl...
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