8 citations · 16 across the 5 of their papers we have counts for
6 papers
SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction
Mahbub Ul Alam, Jaakko Hollmén, Jón Rúnar Baldvinsson +1
The interpretability of deep neural networks has become a subject of great interest within the medical and healthcare domain. This attention stems from concerns regarding transpare…
Gateway Controller with Deep Sensing: Learning to be Autonomic in Intelligent Internet of Things
Rahim Rahmani, Ramin Firouzi
The Internet of Things(IoT) will revolutionize the Future Internet through ubiquitous sensing. One of the challenges of having the hundreds of billions of devices that are estimate…
Distributed Adaptive Formation Control for Multi-UAV to Enable Connectivity
Rahim Rahmani, Ramin Firouzi, Theo Kanter
There is increasing demand for control of multi-robot and as well distributing large amounts of content to cluster of Unmanned Aerial Vehicles (UAV) on the operation. In recent yea…
Comparing Properties of Massively Multiplayer Online Worlds and the Internet of Things
Kim J. L. Nevelsteen, Theo Kanter, Rahim Rahmani
With the rise of the Internet of Things (IoT), this means recognizing the need for architectures to handle billions of devices and their interactions. A virtual world engine at the…
Conceptual Framework for Internet of Things' Virtualization via OpenFlow in Context-aware Networks
Theo Kanter, Rahim Rahmani, Arif Mahmud
A novel conceptual framework is presented in this paper with an aim to standardize and virtualize Internet of Things(IoT) infrastructure through deploying OpenFlow technology. The…
On Performance of Logical-Clustering Of Flow-Sensors
Rahim Rahmani, Hasibur Rahman, Theo Kanter
In state-of-the-art Pervasive Computing, it is envisioned that unlimited access to information will be facilitated for anyone and anything. Wireless sensor networks will play a piv…