Abhishek Thakur

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2024
AutoTrain: No-code training for state-of-the-art models.
CoRR, 2024

MADE: An MEC Supported Platform Independent and Version Agnostic Framework for Mobile Application Deployment.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2024

2023
Evaluate the Performance of Deep CNN Algorithm based on Parameters and Various Geometrical Attacks.
Wirel. Pers. Commun., October, 2023

Image encryption using discrete orthogonal Stockwell transform with fractional Fourier transform.
Multim. Tools Appl., May, 2023

POSTER: PriAuct: Privacy Preserving Auction Mechanism.
Proceedings of the Applied Cryptography and Network Security Workshops, 2023

2022
Multimodal Biometric for Person Identification Using Deep Learning Approach.
Wirel. Pers. Commun., 2022

Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements.
CoRR, 2022

UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images.
CoRR, 2022

PPAS: Privacy-preserving Resource Discovery for Multi-domain SFC orchestration.
Proceedings of the 31st International Conference on Computer Communications and Networks, 2022

Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Attack Graphs for Standalone Non-Public 5G Networks.
Proceedings of the 2022 IEEE Future Networks World Forum, 2022

2021
RAFT: A Real-World Few-Shot Text Classification Benchmark.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021


2020
White Paper on Business of 6G.
CoRR, 2020

2018
Image forensics using color illumination, block and key point based approach.
Multim. Tools Appl., 2018

VECTORS: Video communication through opportunistic relays and scalable video coding.
CoRR, 2018

Talos App: On-Device Machine Learning Using TensorFlow to Detect Android Malware.
Proceedings of the 2018 Fifth International Conference on Internet of Things: Systems, 2018

2015
AutoCompete: A Framework for Machine Learning Competition.
CoRR, 2015

Computer Vision for Head Pose Estimation: Review of a Competition.
Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

2014
Big Data Analytics framework for Peer-to-Peer Botnet detection using Random Forests.
Inf. Sci., 2014

Designing an extensible communication platform for rural area.
Proceedings of the 2014 International Conference on Advances in Computing, 2014

HaDeS: A Hadoop-based Framework for Detection of Peer-to-Peer Botnets.
Proceedings of the 20th International Conference on Management of Data, 2014

2013
Sustainable wireless internet connectivity for rural areas.
Proceedings of the International Conference on Advances in Computing, 2013

2009
Generalized neuron based secure media access control protocol for wireless sensor networks.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2009


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