Many optimisation problems contain substructures involving constraints on sequences of decision variables. Such constraints can be very complex to express with mixed integer progra...
This multidisciplinary study focuses on the application and comparison of several topology preserving mapping models upgraded with some classifier ensemble and boosting techniques ...
Bruno Baruque, Emilio Corchado, Hujun Yin, Jordi R...
— DAB is a growing communication technology for digital audio broadcasting and demands higher concentration on flexible and cost optimum implementations for use in new mobile ele...
Nariman Moezzi Madani, Hamed Holisaz, Seid Mehdi F...
This paper concerns the design and verification of a realtime communication protocol for sensor data collection and processing between an embedded computer and a DSP. In such sys...
David A. Cape, Bruce M. McMillin, James K. Townsen...
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...