We present a Variable Neighborhood Search approach for a network design problem occurring in real world when the bandwidth of an existing network shall be enhanced. Using two diff...
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Network services for finding a feasible or an optimal path subject to multiple constraints on performance metrics such as delay, jitter, loss probability, etc. give rise to multip...
Serum profiling using mass spectrometry is an emerging technology with a great potential to provide biomarkers for complex diseases such as cancer. However, protein profiles obtai...
Habtom W. Ressom, Rency S. Varghese, Daniel Saha, ...