8 citations · 13 across the 6 of their papers we have counts for
9 papers
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation
Maksim E. Eren, Luke E. Richards, Manish Bhattarai +3
Non-negative matrix factorization (NMF) with missing-value completion is a well-known effective Collaborative Filtering (CF) method used to provide personalized user recommendation…
Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data
Manish Bhattarai, Namita Kharat, Erik Skau +5
With the boom in the development of computer hardware and software, social media, IoT platforms, and communications, there has been an exponential growth in the volume of data prod…
Integrating Deep Learning and Augmented Reality to Enhance Situational Awareness in Firefighting Environments
Manish Bhattarai
We present a new four-pronged approach to build firefighter's situational awareness for the first time in the literature. We construct a series of deep learning frameworks built on…
A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments
Manish Bhattarai, Manel Martinez-Ramon
Live fire creates a dynamic, rapidly changing environment that presents a worthy challenge for deep learning and artificial intelligence methodologies to assist firefighters with s…
A Novel Indoor Positioning System for unprepared firefighting scenarios
Vamsi Karthik Vadlamani, Manish Bhattarai, Meenu Ajith +1
Situational awareness and Indoor location tracking for firefighters is one of the tasks with paramount importance in search and rescue operations. For Indoor Positioning systems (I…
Distributed Non-Negative Tensor Train Decomposition
Manish Bhattarai, Gopinath Chennupati, Erik Skau +3
The era of exascale computing opens new venues for innovations and discoveries in many scientific, engineering, and commercial fields. However, with the exaflops also come the extr…