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1802.06305
Cited By
Machine learning for Internet of Things data analysis: A survey
17 February 2018
Mohammad Saeid Mahdavinejad
M. Rezvan
M. Barekatain
Peyman Adibi
Payam Barnaghi
A. Sheth
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Papers citing
"Machine learning for Internet of Things data analysis: A survey"
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Title
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Benchmarking Edge AI Platforms for High-Performance ML Inference
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Machine Unlearning: A Comprehensive Survey
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Shui Yu
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Daniel J. Dubois
David Choffnes
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25 Jan 2024
Towards Smart Healthcare: Challenges and Opportunities in IoT and ML
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Tajkia Nuri Ananna
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09 Dec 2023
Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks
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Randy Paffenroth
A. Jayasumana
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03 Dec 2023
Strong Duality Relations in Nonconvex Risk-Constrained Learning
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02 Dec 2023
QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation
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Yaohong Ding
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Anne-Marie Kermarrec
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DD
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27 Nov 2023
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks
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M. Jenihhin
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09 May 2023
A Decade of Research in Fog computing: Relevance, Challenges, and Future Directions
Thang M. Pham
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03 May 2023
Uncharted Territory: Energy Attacks in the Battery-less Internet of Things
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Arslan Hameed
Thiemo Voigt
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17 Apr 2023
Baechi: Fast Device Placement of Machine Learning Graphs
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L. Cai
Chirag Shetty
P. Srivastava
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Xiaolan Ke
Yitao Meng
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Indranil Gupta
GNN
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20 Jan 2023
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey
Harrison Kurunathan
Hailong Huang
Kai Li
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Ekram Hossain
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07 Nov 2022
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective
Li Yang
Abdallah Shami
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16 Sep 2022
Analyzing Wearables Dataset to Predict ADLs and Falls: A Pilot Study
Rajbinder Kaur
Rohini Sharma
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Edge Security: Challenges and Issues
Xin Jin
Charalampos Katsis
Fan Sang
Jiahao Sun
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14 Jun 2022
Application of Machine Learning-Based Pattern Recognition in IoT Devices: Review
Zachary Menter
Wei Zhong Tee
Rushit Dave
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A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models
Saroj Gopali
Faranak Abri
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17 Dec 2021
IoT Security and Authentication schemes Based on Machine Learning: Review
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06 Sep 2021
IoT Virtualization with ML-based Information Extraction
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10 Jun 2021
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition
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Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction
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A Hybrid Architecture for Federated and Centralized Learning
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An Efficient One-Class SVM for Anomaly Detection in the Internet of Things
Kun Yang
Samory Kpotufe
Nick Feamster
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32
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22 Apr 2021
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
Zekai Chen
Dingshuo Chen
Xiao Zhang
Zixuan Yuan
Xiuzhen Cheng
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08 Apr 2021
Roughsets-based Approach for Predicting Battery Life in IoT
Rajesh Kaluri
D. Rajput
Qin Xin
Kuruva Lakshmanna
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Thippa Reddy Gadekallu
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09 Feb 2021
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
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Dacheng Tao
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17 Nov 2020
Machine Learning and Soil Humidity Sensing: Signal Strength Approach
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Tomislav Zupanovic
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16 Nov 2020
IoT Wallet: Machine Learning-based Sensor Portfolio Application
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Ivo Kovačević
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Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications
Thippa Reddy Gadekallu
Manoj M K
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OOD
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03 Nov 2020
On the Road from Edge Computing to the Edge Mesh
Panagiotis Oikonomou
Anna Karanika
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Kostas Kolomvatsos
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11 Oct 2020
Estimation of Individual Device Contributions for Incentivizing Federated Learning
Takayuki Nishio
R. Shinkuma
N. Mandayam
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20 Sep 2020
A Methodological Approach to Model CBR-based Systems
Eliseu M. Oliveira
R. Reale
Joberto S. B. Martins
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09 Sep 2020
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs
Luca Bompani
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Nazareno Bruschi
Giuseppe Tagliavini
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Francesco Conti
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104
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17 Aug 2020
IoT meets COVID-19: Status, Challenges, and Opportunities
Mohsin Kamal
A. Aljohani
Eisa A. Alanazi
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38
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28 Jun 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey
Wiebke Toussaint
Aaron Yi Ding
LRM
30
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29 May 2020
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review
Sonali Agarwal
Narinder Singh Punn
S. K. Sonbhadra
M. Tanveer
P. Nagabhushan
K. K. S. Pandian
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Enhancing network forensics with particle swarm and deep learning: The particle deep framework
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Nour Moustafa
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Julia Language in Machine Learning: Algorithms, Applications, and Open Issues
Kaifeng Gao
Gang Mei
F. Piccialli
S. Cuomo
Jingzhi Tu
Zenan Huo
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23 Mar 2020
A survey on Machine Learning-based Performance Improvement of Wireless Networks: PHY, MAC and Network layer
M. Kulin
Tarik Kazaz
I. Moerman
E. De Poorter
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Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
S. Gill
Shreshth Tuli
Minxian Xu
Inderpreet Singh
Karandeep Singh
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S. Misra
M. Aslanpour
Harshita Mehta
V. Stankovski
Peter Garraghan
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361
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21 Oct 2019
A View on Deep Reinforcement Learning in System Optimization
Ameer Haj-Ali
Nesreen Ahmed
Theodore L. Willke
Joseph E. Gonzalez
Krste Asanović
Ion Stoica
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04 Aug 2019
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed
Chris Murphy
Daqing Hou
Nazar Khan
Ganesh Ananthanarayanan
Faraz Hussain
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378
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31 Jul 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei
Yue Tan
Kan Zheng
Shiwen Liu
K. Zheng
Xuemin Shen
Shen
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202
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Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey
Basheer Qolomany
Ala I. Al-Fuqaha
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D. Benhaddou
Safaa Alwajidi
Junaid Qadir
A. Fong
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SLSGD: Secure and Efficient Distributed On-device Machine Learning
Cong Xie
Oluwasanmi Koyejo
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16 Mar 2019
Machine Learning in IoT Security: Current Solutions and Future Challenges
Fatima Hussain
Rasheed Hussain
Syed Ali Hassan
Ekram Hossain
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14 Mar 2019
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