3 papers
cs.LG2020
Multi-Kernel Fusion for RBF Neural Networks
Syed Muhammad Atif, Shujaat Khan, Imran Naseem +2
A simple yet effective architectural design of radial basis function neural networks (RBFNN) makes them amongst the most popular conventional neural networks. The current generatio…
cs.NI2018
A Novel Compressed Sensing Technique for Traffic Matrix Estimation of Software Defined Cloud Networks
Sameer Qazi, Syed Muhammad Atif, Muhammad Bilal Kadri
Traffic Matrix estimation has always caught attention from researchers for better network management and future planning. With the advent of high traffic loads due to Cloud Computi…
eess.SP2018
Tri-Compress: A Cascaded Data Compression Framework for Smart Electricity Distribution Systems
Syed Muhammad Atif, Anees Ahmed, Sameer Qazi
Modern smart distribution system requires storage, transmission and processing of big data generated by sensors installed in electric meters. On one hand, this data is essentially…