43 citations · 45 across the 4 of their papers we have counts for
7 papers
Adversarial Stacked Auto-Encoders for Fair Representation Learning
Patrik Joslin Kenfack, Adil Mehmood Khan, Rasheed Hussain +1
Training machine learning models with the only accuracy as a final goal may promote prejudices and discriminatory behaviors embedded in the data. One solution is to learn latent re…
Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers
Sobirdzhon Bobiev, Adil Khan, Syed Muhammad Ahsan Raza Kazmi
In class-incremental learning, the objective is to learn a number of classes sequentially without having access to the whole training data. However, due to a problem known as catas…
Ruin Theory for Energy-Efficient Resource Allocation in UAV-assisted Cellular Networks
Aunas Manzoor, Kitae Kim, Shashi Raj Pandey +4
Unmanned aerial vehicles (UAVs) can provide an effective solution for improving the coverage, capacity, and the overall performance of terrestrial wireless cellular networks. In pa…
Contract-based Scheduling of URLLC Packets in Incumbent EMBB Traffic
Aunas Manzoor, S. M. Ahsan Kazmi, Shashi Raj Pandey +1
Recently, the coexistence of ultra-reliable and low-latency communication (URLLC) and enhanced mobile broadband (eMBB) services on the same licensed spectrum has gained a lot of at…
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey
Latif U. Khan, Ibrar Yaqoob, Nguyen H. Tran +3
Recent years have disclosed a remarkable proliferation of compute-intensive applications in smart cities. Such applications continuously generate enormous amounts of data which dem…
Next-generation Wireless Solutions for the Smart Factory, Smart Vehicles, the Smart Grid and Smart Cities
Tai Manh Ho, Thinh Duy Tran, Ti Ti Nguyen +4
5G wireless systems will extend mobile communication services beyond mobile telephony, mobile broadband, and massive machine-type communication into new application domains, namely…