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[HTML][HTML] A GA-stacking ensemble approach for forecasting energy consumption in a smart household: A comparative study of ensemble methods
The considerable amount of energy utilized by buildings has led to various environmental
challenges that adversely impact human existence. Predicting buildings' energy usage is …
challenges that adversely impact human existence. Predicting buildings' energy usage is …
A network intrusion detection system based on deep learning in the IoT
X Wang, L Dai, G Yang - The Journal of Supercomputing, 2024 - Springer
As industrial and everyday devices become increasingly interconnected, the data volume
within the Internet of Things (IoT) has experienced a substantial surge. This surge in data …
within the Internet of Things (IoT) has experienced a substantial surge. This surge in data …
Bridging the gap: advancing the transparency and trustworthiness of network intrusion detection with explainable AI
With the explosive rise of internet usage and the development of web applications across
various platforms, ensuring network and system security has become a critical concern …
various platforms, ensuring network and system security has become a critical concern …
Adaptive K-NN metric classification based on improved Kepler optimization algorithm
L Cai, S Zhao, F Meng, T Zhang - The Journal of Supercomputing, 2025 - Springer
Abstract K-nearest neighbor (K-NN) method has been widely utilized in data mining and
pattern recognition due to its elegant geometric basis and well-defined statistical …
pattern recognition due to its elegant geometric basis and well-defined statistical …
HFCCW: A novel hybrid filter-clustering-coevolutionary wrapper feature selection approach for network anomaly detection
N Sharma, B Arora - International Journal of Machine Learning and …, 2024 - Springer
Network anomaly detection (NAD) is a crucial Artificial Intelligence (AI)-based security
solution for protecting computer networks. However, analyzing high-dimensional data is a …
solution for protecting computer networks. However, analyzing high-dimensional data is a …
GK index: bridging Gf and K indices for comprehensive author evaluation
The task of accurately predicting scientific impact and ranking the researcher based on
impact has emerged as a crucial research challenge, captivating the interest of scholars …
impact has emerged as a crucial research challenge, captivating the interest of scholars …
Mutation mayfly algorithm (MMA) based feature selection and probabilistic anomaly detection model for cyber-physical systems
C Babu Vignesh, E Arul, VC Mahavishnu… - International Journal of …, 2024 - Springer
Abstract With advances in Cyber-Physical Systems (CPS), privacy-preserving and security
issues have attracted substantial attention. A crucial function provided by CPS is anomaly …
issues have attracted substantial attention. A crucial function provided by CPS is anomaly …