Prototype Regularized Manifold Regularization Technique for Semi-Supervised Online Extreme Learning Machine
Muhammad Zafran Muhammad Zaly Shah, Anazida Zainal, Ghaleb Fuad, A Al-Qarafi, Abdulrahman Saeed, Faisal Sensors Basel Vol. 22, Iss. 9, (2022): 3113. DOI:10.3390/s22093113 /*! elementor – v3.18.0 – 20-12-2023 */ .elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px} Abstract Data streaming applications such as the Internet of Things (IoT) require processing or predicting from sequential data from various sensors. However, most of
