5 citations · 7 across the 5 of their papers we have counts for
6 papers
Linked Data Classification using Neurochaos Learning
Pooja Honna, Ayush Patravali, Nithin Nagaraj +1
Neurochaos Learning (NL) has shown promise in recent times over traditional deep learning due to its two key features: ability to learn from small sized training samples, and low c…
Integrating Causality with Neurochaos Learning: Proposed Approach and Research Agenda
Nanjangud C. Narendra, Nithin Nagaraj
Deep learning implemented via neural networks, has revolutionized machine learning by providing methods for complex tasks such as object detection/classification and prediction. Ho…
Intent-based Meta-Scheduling in Programmable Networks: A Research Agenda
Nanjangud C. Narendra, Ronak Kanthaliya, Venkatareddy Akumalla
The emergence and growth of 5G and beyond 5G (B5G) networks has brought about the rise of so-called ''programmable'' networks, i.e., networks whose operational requirements are so…
Heuristic and Reinforcement Learning Algorithms for Dynamic Service Placement on Mobile Edge Cloud
Dhruv Garg, Nanjangud C. Narendra, Selome Tesfatsion
Edge computing hosts applications close to the end users and enables low-latency real-time applications. Modern applications inturn have adopted the microservices architecture whic…
The Nubo Virtual Services Marketplace
James Kempf, Sambit Nayak, Remi Robert +6
In this paper, we describe a virtual services marketplace, called Nubo, designed to connect buyers of virtual services (or tenants) with providers of those services on a cloud comp…
Managing Large-Scale Transient Data in IoT Systems
Nanjangud C. Narendra, Sambit Nayak, Anshu Shukla
The pervasive availability of streaming data is driving interest in distributed Fast Data platforms for streaming applications. Such latency-sensitive applications need to respond…