We propose a generic framework that uses utility in decision making to drive the data mining process. We use concepts from meta-learning and build on earlier work by Elovici and B...
A log.ical recasting of B.inding Theory is performed as an enhancing step tor the purpose ot its gull and lean declarative implementation. A new insight on sentential anaptioric p...
We propose two novel algorithms based on compressed-sensing theory to estimate and cancel narrow band interference (NBI) in orthogonal frequency division multiplexing (OFDM) syste...
Ahmad Gomaa, K. M. Zahidul Islam, Naofal Al-Dhahir
Many processes are composed of a n-fold repetition of some simpler process. If the whole process can be modeled with a neural network, we present a method to derive a model of the...
This work focuses on several optimization problems involved in recovery of sparse solutions of linear inverse problems. Such problems appear in many fields including image and sig...