Adita Kulkarni

Orcid: 0000-0001-6216-3401

According to our database1, Adita Kulkarni authored at least 19 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
Classifying Customer Complaints of a Large Fixed Broadband Service Provider using Machine Learning.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

Predicting Customer Quality of Service for a Large Fixed Broadband Service Provider.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

Analyzing Students' Perspective for Using Computer-Mediated Communication Tools for Group Collaboration in Higher Education.
Proceedings of the Learning and Collaboration Technologies, 2023

Analyzing User Communication on Mainstream and Alternative Social Media Platforms Using Natural Language Processing: A Case Study on the COVID-19 Pandemic.
Proceedings of the Social Computing and Social Media, 2023

Platform-agnostic Model to Detect Sinophobia on Social Media.
Proceedings of the 2023 ACM Southeast Conference, 2023

2021
QoE-aware Assignment and Scheduling of Video Streams in Heterogeneous Cellular Networks.
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

Wireless Channel Quality Prediction using Sparse Gaussian Conditional Random Fields.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

QoE-aware Video Streaming in Heterogeneous Cellular Networks.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

Analyzing Aggregate User Behavior on a Large Multi-platform Content Distribution Service.
Proceedings of the Ad Hoc Networks and Tools for IT - 13th EAI International Conference, 2021

2020
DeepChannel: Wireless Channel Quality Prediction Using Deep Learning.
IEEE Trans. Veh. Technol., 2020

Model and Machine Learning based Caching and Routing Algorithms for Cache-enabled Networks.
CoRR, 2020

DeepER: A Deep Learning based Emergency Resolution Time Prediction System.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

Model-Based and Machine Learning Approaches for Designing Caching and Routing Algorithms.
Proceedings of the Ad Hoc Networks - 12th EAI International Conference, 2020

2019
SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

DeepFit: deep learning based fitness center equipment use modeling and prediction.
Proceedings of the MobiQuitous 2019, 2019

QuickR: A Novel Routing Strategy for Wireless Mobile Information-centric Networks.
Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019

2018
Greedy Caching: An optimized content placement strategy for information-centric networks.
Comput. Networks, 2018

Exploiting Correlations in Request Streams: A Case for Hybrid Caching in Cache Networks.
Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018

Evaluating the benefits of caching and stateless forwarding in mobile information-centric networks.
Proceedings of the 2018 Symposium on Architectures for Networking and Communications Systems, 2018


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