2.4. The VMD-DE-ELM Forecasting Model In this paper, an ensemble model based on machine learning methods and data preprocessing is proposed for short-term electric load forecasting. The basic structure of the ensemble method is based on decomposition and ensemble, which is shown in Figure 1 ...
applied sciences Review A Review of Insider Threat Detection: Classification, Machine Learning Techniques, Datasets, Open Challenges, and Recommendations Mohammed Nasser Al-Mhiqani 1,* , Rabiah Ahmad 1,*, Z. Zainal Abidin 1, Warusia Yassin 1, Aslinda Hassan 1, Karrar Hameed Abdulkareem 2 , ...
In fact, the solution presented equips the domotic system of CIESOL with the ability to adapt to the behavior of the user integrating a learning system into the domotic system, achieving an improvement in the system's energetic efficiency and increasing user comfort by adapting the system to ...
SS symmetry Article Intelligent RFID Indoor Localization System Using a Gaussian Filtering Based Extreme Learning Machine Changzhi Wang, Zhicai Shi * and Fei Wu * School of Electrical and Electronic Engineering, Shanghai University of Engineering Science, Shanghai 201620, China; wcz1990ah@126.com *...
Like Genetic Algorithms, PSO is initialized with a population of random solutions. It has been applied on optimization problems such as neural network learning, fuzzy control, and evolutionary...
electronics Article Smartphone-Based Context Flow Recognition for Outdoor Parking System with Machine Learning Approaches Md Ismail Hossen 1,* , Goh Kah Ong Michael 1,*, Tee Connie 1, Siong Hoe Lau 1 and Ferdous Hossain 2 1 Faculty of Information Science and Technology, Multimedia University, ...