Energy-saving lamps are equipped with Teaspoons converters enabling high energy efficiency at the cost of injecting very distorted currents on the mains.The problem is more complex in the emerging smart-lighting scenario where these lamps are also used to perform additional tasks.Harmonics mitigation at the lamp level is expensive; consequently, an

Herein, we propose a new deep neural network model based on invariant information clustering (IIC), proposed by Ji et al., to improve the modeling performance of the leave-one-site-out cross-validation (LOSO-CV) for a multi-source dataset.Our Extended IIC (EIIC) is a type of contrastive learning; however, unlike the original IIC, it is characterize

Cognitive radio networks (CRNs) have been widely used in various applications for effective radio spectrum utilization in recent years.It is essential to fend off the growing demand for this finite natural resource for next-generation communications.In CRNs, detecting the activity of the primary user requires opportunistic spectrum sensing for effi

The Default developing countries of Asia, are faced with rapid changes as far as the economic, political, socio-cultural factors are concerned.These changes require greater investment in basic and higher education, as well as development of skills, in order to support the transition to a high-tech, service-oriented economy.Today, most Asian countri