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Results 1-10 of 14 (Search time: 0.004 seconds).
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Issue Date
Title
Author(s)
2020
Understanding and Mitigating Threats from Android Hybrid Apps Using Machine Learning
Goyal, Navneet
2020
A Machine Learning Approach for Traffic Flow Provisioning in Software Defined Networks
Shekhawat, Virendra Singh
2020-06
FNDNet – A deep convolutional neural network for fake news detection
Narang, Pratik
2021-09
A hybrid approach for search and rescue using 3DCNN and PSO
Narang, Pratik
2021
A Hybrid Model for Effective Fake News Detection with a Novel COVID-19 Dataset
Narang, Pratik
2020-01
PACER: Platform for Android Malware Classification, Performance Evaluation and Threat Reporting
Agarwal, Vinti
2022-10
Unsupervised machine learning framework for discriminating major variants of concern during COVID-19
Agarwal, Vinti
2020-03
Motivation of participants on the crowdsourcing platform using intelligent agents
Anand, Vijayalakshmi
2020
Machine learning algorithms for fall detection using kinematic and heart rate parameters-a comprehensive analysis
Ramachandran, Anita
2021-10
Performance Analysis of Machine Learning Algorithms for Sleep Apnea Detection Using ECG
Ramachandran, Anita
Discover
Author
5
Ramachandran, Anita
3
Narang, Pratik
2
Agarwal, Vinti
1
Anand, Vijayalakshmi
1
Chamola, Vinay
1
Goyal, Navneet
1
Gupta, Shashank
1
Shekhawat, Virendra Singh
Subject
3
Deep Learning
3
Fall detection
3
Social Media
3
Wearable systems
2
Fake News
2
Neural networks
2
Sleep apnea
1
3DCNN
1
Android Hybrid Apps
1
Android malware
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Date issued
8
2020
5
2021
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2022