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Machine learning for Internet of Things data analysis: A survey

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
ArXivPDFHTML

Papers citing "Machine learning for Internet of Things data analysis: A survey"

50 / 56 papers shown
Title
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models
Jiang Zhang
Rohan Sequeira
Konstantinos Psounis
SyDa
83
0
0
05 Mar 2025
$k$-Graph: A Graph Embedding for Interpretable Time Series Clustering
kkk-Graph: A Graph Embedding for Interpretable Time Series Clustering
Paul Boniol
Donato Tiano
Angela Bonifati
Themis Palpanas
AI4TS
61
1
0
18 Feb 2025
Modeling Time-evolving Causality over Data Streams
Modeling Time-evolving Causality over Data Streams
Naoki Chihara
Yasuko Matsubara
Ren Fujiwara
Yasushi Sakurai
AI4TS
88
0
0
13 Feb 2025
Towards Trustworthy Machine Learning in Production: An Overview of the
  Robustness in MLOps Approach
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach
Firas Bayram
Bestoun S. Ahmed
OOD
43
1
0
28 Oct 2024
Benchmarking Edge AI Platforms for High-Performance ML Inference
Benchmarking Edge AI Platforms for High-Performance ML Inference
Rakshith Jayanth
Neelesh Gupta
Viktor Prasanna
BDL
36
1
0
23 Sep 2024
Machine Unlearning: A Comprehensive Survey
Machine Unlearning: A Comprehensive Survey
Weiqi Wang
Zhiyi Tian
Chenhan Zhang
Shui Yu
MU
AILaw
36
14
0
13 May 2024
SunBlock: Cloudless Protection for IoT Systems
SunBlock: Cloudless Protection for IoT Systems
Vadim Safronov
A. Mandalari
Daniel J. Dubois
David Choffnes
Hamed Haddadi
32
2
0
25 Jan 2024
Towards Smart Healthcare: Challenges and Opportunities in IoT and ML
Towards Smart Healthcare: Challenges and Opportunities in IoT and ML
Munshi Saifuzzaman
Tajkia Nuri Ananna
21
3
0
09 Dec 2023
Graph Coordinates and Conventional Neural Networks -- An Alternative for
  Graph Neural Networks
Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks
Zheyi Qin
Randy Paffenroth
A. Jayasumana
GNN
17
1
0
03 Dec 2023
Strong Duality Relations in Nonconvex Risk-Constrained Learning
Strong Duality Relations in Nonconvex Risk-Constrained Learning
Dionysis Kalogerias
Spyridon Pougkakiotis
33
0
0
02 Dec 2023
QuickDrop: Efficient Federated Unlearning by Integrated Dataset
  Distillation
QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation
Akash Dhasade
Yaohong Ding
Song Guo
Anne-Marie Kermarrec
M. Vos
Leijie Wu
MU
DD
32
11
0
27 Nov 2023
A Systematic Literature Review on Hardware Reliability Assessment
  Methods for Deep Neural Networks
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks
Mohammad Hasan Ahmadilivani
Mahdi Taheri
J. Raik
Masoud Daneshtalab
M. Jenihhin
45
27
0
09 May 2023
A Decade of Research in Fog computing: Relevance, Challenges, and Future
  Directions
A Decade of Research in Fog computing: Relevance, Challenges, and Future Directions
Thang M. Pham
44
52
0
03 May 2023
Uncharted Territory: Energy Attacks in the Battery-less Internet of
  Things
Uncharted Territory: Energy Attacks in the Battery-less Internet of Things
L. Mottola
Arslan Hameed
Thiemo Voigt
AAML
37
2
0
17 Apr 2023
Baechi: Fast Device Placement of Machine Learning Graphs
Baechi: Fast Device Placement of Machine Learning Graphs
Beomyeol Jeon
L. Cai
Chirag Shetty
P. Srivastava
Jintao Jiang
Xiaolan Ke
Yitao Meng
Cong Xie
Indranil Gupta
GNN
26
18
0
20 Jan 2023
Machine Learning-Aided Operations and Communications of Unmanned Aerial
  Vehicles: A Contemporary Survey
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey
Harrison Kurunathan
Hailong Huang
Kai Li
Wei Ni
Ekram Hossain
28
70
0
07 Nov 2022
IoT Data Analytics in Dynamic Environments: From An Automated Machine
  Learning Perspective
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective
Li Yang
Abdallah Shami
24
52
0
16 Sep 2022
Analyzing Wearables Dataset to Predict ADLs and Falls: A Pilot Study
Analyzing Wearables Dataset to Predict ADLs and Falls: A Pilot Study
Rajbinder Kaur
Rohini Sharma
19
1
0
11 Sep 2022
Edge Security: Challenges and Issues
Edge Security: Challenges and Issues
Xin Jin
Charalampos Katsis
Fan Sang
Jiahao Sun
A. Kundu
Ramana Rao Kompella
49
8
0
14 Jun 2022
Application of Machine Learning-Based Pattern Recognition in IoT
  Devices: Review
Application of Machine Learning-Based Pattern Recognition in IoT Devices: Review
Zachary Menter
Wei Zhong Tee
Rushit Dave
12
7
0
10 Jan 2022
A Comparative Study of Detecting Anomalies in Time Series Data Using
  LSTM and TCN Models
A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models
Saroj Gopali
Faranak Abri
Sima Siami‐Namini
A. Namin
AI4TS
21
13
0
17 Dec 2021
IoT Security and Authentication schemes Based on Machine Learning:
  Review
IoT Security and Authentication schemes Based on Machine Learning: Review
Rushit Dave
25
3
0
06 Sep 2021
IoT Virtualization with ML-based Information Extraction
IoT Virtualization with ML-based Information Extraction
M. Bauer
6
6
0
10 Jun 2021
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning
  Framework for Human Activity Recognition
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition
Zekai Chen
Xiao Zhang
Haochao Ying
38
11
0
18 May 2021
Security Concerns on Machine Learning Solutions for 6G Networks in
  mmWave Beam Prediction
Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction
Ferhat Ozgur Catak
Evren Çatak
Murat Kuzlu
Umit Cali
Devrim Unal
AAML
35
44
0
09 May 2021
A Hybrid Architecture for Federated and Centralized Learning
A Hybrid Architecture for Federated and Centralized Learning
Ahmet M. Elbir
Sinem Coleri
Anastasios K. Papazafeiropoulos
P. Kourtessis
Symeon Chatzinotas
FedML
25
35
0
07 May 2021
An Efficient One-Class SVM for Anomaly Detection in the Internet of
  Things
An Efficient One-Class SVM for Anomaly Detection in the Internet of Things
Kun Yang
Samory Kpotufe
Nick Feamster
19
32
0
22 Apr 2021
Learning Graph Structures with Transformer for Multivariate Time Series
  Anomaly Detection in IoT
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
Zekai Chen
Dingshuo Chen
Xiao Zhang
Zixuan Yuan
Xiuzhen Cheng
AI4TS
28
331
0
08 Apr 2021
Roughsets-based Approach for Predicting Battery Life in IoT
Roughsets-based Approach for Predicting Battery Life in IoT
Rajesh Kaluri
D. Rajput
Qin Xin
Kuruva Lakshmanna
S. Bhattacharya
Thippa Reddy Gadekallu
Praveen Kumar Reddy Maddikunta
28
33
0
09 Feb 2021
Empowering Things with Intelligence: A Survey of the Progress,
  Challenges, and Opportunities in Artificial Intelligence of Things
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Jing Zhang
Dacheng Tao
45
463
0
17 Nov 2020
Machine Learning and Soil Humidity Sensing: Signal Strength Approach
Machine Learning and Soil Humidity Sensing: Signal Strength Approach
Lea Dujić Rodić
Tomislav Zupanovic
T. Perković
P. Šolić
J. Rodrigues
11
26
0
16 Nov 2020
IoT Wallet: Machine Learning-based Sensor Portfolio Application
IoT Wallet: Machine Learning-based Sensor Portfolio Application
P. Šolić
A. Kapetanović
Tomislav Zupanovic
Ivo Kovačević
T. Perković
P. Popovski
15
6
0
13 Nov 2020
Blockchain based Attack Detection on Machine Learning Algorithms for IoT
  based E-Health Applications
Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications
Thippa Reddy Gadekallu
Manoj M K
Sivarama Krishnan S
Neeraj Kumar
S. Hakak
S. Bhattacharya
OOD
24
54
0
03 Nov 2020
On the Road from Edge Computing to the Edge Mesh
On the Road from Edge Computing to the Edge Mesh
Panagiotis Oikonomou
Anna Karanika
Christos Anagnostopoulos
Kostas Kolomvatsos
30
0
0
11 Oct 2020
Estimation of Individual Device Contributions for Incentivizing
  Federated Learning
Estimation of Individual Device Contributions for Incentivizing Federated Learning
Takayuki Nishio
R. Shinkuma
N. Mandayam
FedML
33
31
0
20 Sep 2020
A Methodological Approach to Model CBR-based Systems
A Methodological Approach to Model CBR-based Systems
Eliseu M. Oliveira
R. Reale
Joberto S. B. Martins
6
3
0
09 Sep 2020
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT
  MCUs
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs
Luca Bompani
Angelo Garofalo
Nazareno Bruschi
Giuseppe Tagliavini
D. Rossi
Francesco Conti
11
104
0
17 Aug 2020
IoT meets COVID-19: Status, Challenges, and Opportunities
IoT meets COVID-19: Status, Challenges, and Opportunities
Mohsin Kamal
A. Aljohani
Eisa A. Alanazi
24
38
0
28 Jun 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey
Wiebke Toussaint
Aaron Yi Ding
LRM
30
0
0
29 May 2020
Unleashing the power of disruptive and emerging technologies amid
  COVID-19: A detailed review
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
Praveer Saxena
21
58
0
23 May 2020
Enhancing network forensics with particle swarm and deep learning: The
  particle deep framework
Enhancing network forensics with particle swarm and deep learning: The particle deep framework
Nickolaos Koroniotis
Nour Moustafa
8
34
0
02 May 2020
Julia Language in Machine Learning: Algorithms, Applications, and Open
  Issues
Julia Language in Machine Learning: Algorithms, Applications, and Open Issues
Kaifeng Gao
Gang Mei
F. Piccialli
S. Cuomo
Jingzhi Tu
Zenan Huo
23
55
0
23 Mar 2020
A survey on Machine Learning-based Performance Improvement of Wireless
  Networks: PHY, MAC and Network layer
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
38
70
0
13 Jan 2020
Transformative effects of IoT, Blockchain and Artificial Intelligence on
  cloud computing: Evolution, vision, trends and open challenges
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
...
S. Misra
M. Aslanpour
Harshita Mehta
V. Stankovski
Peter Garraghan
24
361
0
21 Oct 2019
A View on Deep Reinforcement Learning in System Optimization
A View on Deep Reinforcement Learning in System Optimization
Ameer Haj-Ali
Nesreen Ahmed
Theodore L. Willke
Joseph E. Gonzalez
Krste Asanović
Ion Stoica
OffRL
14
8
0
04 Aug 2019
Machine Learning at the Network Edge: A Survey
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed
Chris Murphy
Daqing Hou
Nazar Khan
Ganesh Ananthanarayanan
Faraz Hussain
38
378
0
31 Jul 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model,
  Applications and Challenges
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
OffRL
21
202
0
22 Jul 2019
Leveraging Machine Learning and Big Data for Smart Buildings: A
  Comprehensive Survey
Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey
Basheer Qolomany
Ala I. Al-Fuqaha
Ajay K. Gupta
D. Benhaddou
Safaa Alwajidi
Junaid Qadir
A. Fong
AI4CE
17
2
0
01 Apr 2019
SLSGD: Secure and Efficient Distributed On-device Machine Learning
SLSGD: Secure and Efficient Distributed On-device Machine Learning
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
FedML
30
14
0
16 Mar 2019
Machine Learning in IoT Security: Current Solutions and Future
  Challenges
Machine Learning in IoT Security: Current Solutions and Future Challenges
Fatima Hussain
Rasheed Hussain
Syed Ali Hassan
Ekram Hossain
34
519
0
14 Mar 2019
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