Payam M. Barnaghi

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 83

Top Venues

CoRR

IEEE Internet Things J.

WF-IoT

GIoTS

Publications

Alexander Capstick, Francesca Palermo, Kimberley Zakka, Nan Fletcher-Lloyd, Chloe Walsh, Tianyu Cui, Samaneh Kouchaki, Raphaella Jackson, Martin Tran, Michael Crone, Kirsten Jensen, Paul S. Freemont, Ravi Vaidyanathan, Magdalena Kolanko, Jessica True, Sarah Daniels, David Wingfield, Ramin Nilforooshan, Payam M. Barnaghi
Digital remote monitoring for screening and early detection of urinary tract infections. npj Digit. Medicine 7 (1) (2024)
Nan Fletcher-Lloyd, Alina-Irina Serban, Magdalena Anita Kolanko, David Wingfield, Danielle Wilson, Ramin Nilforooshan, Payam M. Barnaghi, Eyal Soreq
A Markov Chain Model for Identifying Changes in Daily Activity Patterns of People Living With Dementia. IEEE Internet Things J. 11 (2) (2024)
Alexander Capstick, Tianyu Cui, Yu Chen, Payam M. Barnaghi
Representation Learning of Daily Movement Data Using Text Encoders. CoRR (2024)
Yushan Huang, Yuchen Zhao, Alexander Capstick, Francesca Palermo, Hamed Haddadi, Payam M. Barnaghi
Analyzing entropy features in time-series data for pattern recognition in neurological conditions. Artif. Intell. Medicine 150 (2024)
Yushan Huang, Ranya Aloufi, Xavier F. Cadet, Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi
MicroT: Low-Energy and Adaptive Models for MCUs. CoRR (2024)
Yu Chen, Tianyu Cui, Alexander Capstick, Nan Fletcher-Lloyd, Payam M. Barnaghi
Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction. CoRR (2024)
Narges Pourshahrokhi, Yunpeng Li, Samaneh Kouchaki, Payam M. Barnaghi
Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks. ACML (2023)
Yushan Huang, Yuchen Zhao, Alexander Capstick, Francesca Palermo, Hamed Haddadi, Payam M. Barnaghi
Information Theory Inspired Pattern Analysis for Time-series Data. CoRR (2023)
Yu Chen, Nivedita Bijlani, Samaneh Kouchaki, Payam M. Barnaghi
Interpreting Differentiable Latent States for Healthcare Time-series Data. CoRR (2023)
Nan Fletcher-Lloyd, Alina-Irina Serban, Magdalena Anita Kolanko, David Wingfield, Danielle Wilson, Ramin Nilforooshan, Payam M. Barnaghi, Eyal Soreq
A Markov Chain Model for Identifying Changes in Daily Activity Patterns of People Living with Dementia. CoRR (2023)
Christine Hine, Ramin Nilforooshan, Payam M. Barnaghi
Negotiating the capacities and limitations of sensor-mediated care in the home. J. Comput. Mediat. Commun. 28 (5) (2023)
Alexander Capstick, Payam M. Barnaghi
Predicting Targets with Data from Non-Conforming Sources. Tiny Papers @ ICLR (2023)
Maria R. Lima, Ting Su, Mélanie Jouaiti, Maitreyee Wairagkar, Paresh Malhotra, Eyal Soreq, Payam M. Barnaghi, Ravi Vaidyanathan
Discovering Behavioral Patterns Using Conversational Technology for In-Home Health and Well-Being Monitoring. IEEE Internet Things J. 10 (21) (2023)
Alexander Capstick, Francesca Palermo, Payam M. Barnaghi
Loss Adapted Plasticity in Deep Neural Networks to Learn from Data with Unreliable Sources. CoRR (2022)
Alina-Irina Serban, Eyal Soreq, Payam M. Barnaghi, Sarah Daniels, Rafael A. Calvo, David J. Sharp
The effect of COVID-19 on the home behaviours of people affected by dementia. npj Digit. Medicine 5 (2022)
Maria R. Lima, Maitreyee Wairagkar, Manish Gupta, Ferdinando Rodriguez y Baena, Payam M. Barnaghi, David J. Sharp, Ravi Vaidyanathan
Conversational Affective Social Robots for Ageing and Dementia Support. IEEE Trans. Cogn. Dev. Syst. 14 (4) (2022)
Maitreyee Wairagkar, Maria R. Lima, Daniel Bazo, Richard Craig, Hugo Weissbart, Appolinaire C. Etoundi, Tobias Reichenbach, Prashant Iyengar, Sneh Vaswani, Christopher James, Payam M. Barnaghi, Chris Melhuish, Ravi Vaidyanathan
Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots. IEEE Internet Things J. 9 (5) (2022)
Yulei Wu, Yi Pan, Payam M. Barnaghi, Zhiyuan Tan, Jingguo Ge, Hao Wang
Editorial: Big data technologies and applications. Wirel. Networks 28 (3) (2022)
Yushan Huang, Yuchen Zhao, Hamed Haddadi, Payam M. Barnaghi
Using Entropy Measures for Monitoring the Evolution of Activity Patterns. CoRR (2022)
Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi
Multimodal Federated Learning on IoT Data. IoTDI (2022)
Yushan Huang, Yuchen Zhao, Hamed Haddadi, Payam M. Barnaghi
Using Entropy Measures for Monitoring the Evolution of Activity Patterns. WF-IoT (2022)
Farshad Firouzi, Bahareh J. Farahani, Mahmoud Daneshmand, Kathy Grise, Jaeseung Song, Roberto Saracco, Lucy Lu Wang, Kyle Lo, Plamen P. Angelov, Eduardo A. Soares, Po-Shen Loh, Zeynab Talebpour, Reza Moradi, Mohsen Goodarzi, Haleh Ashraf, Mohammad Talebpour, Alireza Talebpour, Luca Romeo, Rupam Das, Hadi Heidari, Dana K. Pasquale, James Moody, Chris Woods, Erich S. Huang, Payam M. Barnaghi, Majid Sarrafzadeh, Ron Li, Kristen L. Beck, Olexandr Isayev, NakMyoung Sung, Alan Luo
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World. IEEE Internet Things J. 8 (16) (2021)
Narges Pourshahrokhi, Samaneh Kouchaki, Kord M. Kober, Christine Miaskowski, Payam M. Barnaghi
A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data. CoRR (2021)
Roonak Rezvani, Payam M. Barnaghi, Shirin Enshaeifar
A New Pattern Representation Method for Time-Series Data. IEEE Trans. Knowl. Data Eng. 33 (7) (2021)
Rajesh Amerineni, Lalit Gupta, Nathan Steadman, Keshwyn Annauth, Charles Burr, Samuel Wilson, Payam M. Barnaghi, Ravi Vaidyanathan
Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance. Sensors 21 (24) (2021)
Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi
Multimodal Federated Learning. CoRR (2021)
Francesca Palermo, Honglin Li, Alexander Capstick, Nan Fletcher-Lloyd, Yuchen Zhao, Samaneh Kouchaki, Ramin Nilforooshan, David J. Sharp, Payam M. Barnaghi
Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data. CoRR (2021)
Honglin Li, Roonak Rezvani, Magdalena Anita Kolanko, David J. Sharp, Maitreyee Wairagkar, Ravi Vaidyanathan, Ramin Nilforooshan, Payam M. Barnaghi
An attention model to analyse the risk of agitation and urinary tract infections in people with dementia. CoRR (2021)
Meikang Qiu, Bhavani M. Thuraisingham, Mahmoud Daneshmand, Huansheng Ning, Payam M. Barnaghi
Special Issue on Robustness and Efficiency in the Convergence of Artificial Intelligence and IoT. IEEE Internet Things J. 8 (12) (2021)
Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz
Continual Learning Using Bayesian Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32 (9) (2021)
Maitreyee Wairagkar, Maria R. Lima, Daniel Bazo, Richard Craig, Hugo Weissbart, Appolinaire C. Etoundi, Tobias Reichenbach, Prashant Iyenger, Sneh Vaswani, Christopher James, Payam M. Barnaghi, Chris Melhuish, Ravi Vaidyanathan
Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots. CoRR (2020)
Masoud Hassanpour, Seyed Amir Hoseinitabatabaei, Payam M. Barnaghi, Rahim Tafazolli
Improving the Accuracy of the Video Popularity Prediction Models through User Grouping and Video Popularity Classification. ACM Trans. Web 14 (1) (2020)
Honglin Li, Payam M. Barnaghi, Severin Skillman, David J. Sharp, Ramin Nilforooshan, Helen Rostill
Machine learning for risk analysis of Urinary Tract Infection in people with dementia. CoRR (2020)
Yuchen Zhao, Hamed Haddadi, Severin Skillman, Shirin Enshaeifar, Payam M. Barnaghi
Privacy-preserving activity and health monitoring on databox. EdgeSys@EuroSys (2020)
Valentinas Janeiko, Roonak Rezvani, Narges Pourshahrokhi, Shirin Enshaeifar, Marianne Krogbæk, Sebastian Holmgard Christophersen, Tarek Elsaleh, Payam M. Barnaghi
Enabling Context-Aware Search using Extracted Insights from IoT Data Streams. GIoTS (2020)
Honglin Li, Yifei Fan, Frieder Ganz, Anthony J. Yezzi, Payam M. Barnaghi
Verifying the Causes of Adversarial Examples. CoRR (2020)
Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz
Continual Learning Using Task Conditional Neural Networks. CoRR (2020)
Ruidong Li, Houbing Song, Jiannong Cao, Payam M. Barnaghi, Jie Li, Constandinos X. Mavromoustakis
Big Data Intelligent Networking. IEEE Netw. 34 (4) (2020)
Honglin Li, Yifei Fan, Frieder Ganz, Anthony J. Yezzi, Payam M. Barnaghi
Verifying the Causes of Adversarial Examples. ICPR (2020)
Shirin Enshaeifar, Payam M. Barnaghi, Severin Skillman, David J. Sharp, Ramin Nilforooshan, Helen Rostill
A Digital Platform for Remote Healthcare Monitoring. WWW (Companion Volume) (2020)
Yuchen Zhao, Hanyang Liu, Honglin Li, Payam M. Barnaghi, Hamed Haddadi
Semi-supervised Federated Learning for Activity Recognition. CoRR (2020)
Yasmin Fathy, Payam M. Barnaghi
Quality-Based and Energy-Efficient Data Communication for the Internet of Things Networks. IEEE Internet Things J. 6 (6) (2019)
Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli
An Online Adaptive Algorithm for Change Detection in Streaming Sensory Data. IEEE Syst. J. 13 (3) (2019)
Linda van den Brink, Payam M. Barnaghi, Jeremy Tandy, Ghislain Atemezing, Rob Atkinson, Byron Cochrane, Yasmin Fathy, Raúl García-Castro, Armin Haller, Andreas Harth, Krzysztof Janowicz, Sefki Kolozali, Bart van Leeuwen, Maxime Lefrançois, Joshua Lieberman, Andrea Perego, Danh Le Phuoc, Bill Roberts, Kerry Taylor, Raphaël Troncy
Best practices for publishing, retrieving, and using spatial data on the web. Semantic Web 10 (1) (2019)
Honglin Li, Shirin Enshaeifar, Frieder Ganz, Payam M. Barnaghi
Continual Learning in Deep Neural Network by Using a Kalman Optimiser. CoRR (2019)
Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz
Continual Learning Using Bayesian Neural Networks. CoRR (2019)
Tarek Elsaleh, María Bermúdez-Edo, Shirin Enshaeifar, Sahr Thomas Acton, Roonak Rezvani, Payam M. Barnaghi
IoT-Stream: A Lightweight Ontology for Internet of Things Data Streams. GIoTS (2019)
Roonak Rezvani, Shirin Enshaeifar, Payam M. Barnaghi
Lagrangian-Based Pattern Extraction for Edge Computing in the Internet of Things. CSCloud/EdgeCom (2019)
Sefki Kolozali, María Bermúdez-Edo, Nazli FarajiDavar, Payam M. Barnaghi, Feng Gao, Muhammad Intizar Ali, Alessandra Mileo, Marten Fischer, Thorben Iggena, Daniel Kuemper, Ralf Tönjes
Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams. IEEE Internet Things J. 6 (2) (2019)
Antonio F. Skarmeta, José Santa, Juan A. Martínez, Josiane Xavier Parreira, Payam M. Barnaghi, Shirin Enshaeifar, Michail J. Beliatis, Mirko A. Presser, Thorben Iggena, Marten Fischer, Ralf Tönjes, Martin Strohbach, Alessandro Sforzin, Hien Thi Thu Truong
IoTCrawler: Browsing the Internet of Things. GIoTS (2018)
Payam M. Barnaghi, Jean-Paul Calbimonte, Daniele Dell'Aglio
Web Stream Processing Workshop Chairs' Welcome & Organization. WWW (Companion Volume) (2018)
Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli
Large-Scale Indexing, Discovery, and Ranking for the Internet of Things (IoT). ACM Comput. Surv. 51 (2) (2018)
Aurora González-Vidal, Payam M. Barnaghi, Antonio F. Skarmeta
BEATS: Blocks of Eigenvalues Algorithm for Time Series Segmentation. IEEE Trans. Knowl. Data Eng. 30 (11) (2018)
Shirin Enshaeifar, Payam M. Barnaghi, Severin Skillman, Andreas Markides, Tarek Elsaleh, Sahr Thomas Acton, Ramin Nilforooshan, Helen Rostill
The Internet of Things for Dementia Care. IEEE Internet Comput. 22 (1) (2018)
Honglin Li, Frieder Ganz, Shirin Enshaeifar, Payam M. Barnaghi
Kalman Filter Modifier for Neural Networks in Non-stationary Environments. CoRR (2018)
Daniel Puschmann, Payam M. Barnaghi, Rahim Tafazolli
Using LDA to Uncover the Underlying Structures and Relations in Smart City Data Streams. IEEE Syst. J. 12 (2) (2018)
Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth
Machine learning for internet of things data analysis: a survey. Digit. Commun. Networks 4 (3) (2018)
Alireza Ahrabian, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi
Segment Parameter Labelling in MCMC Mean-Shift Change Detection. ICASSP (2018)
Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli
An adaptive method for data reduction in the Internet of Things. WF-IoT (2018)
María Bermúdez-Edo, Payam M. Barnaghi
Spatio-Temporal Analysis for Smart City Data. WWW (Companion Volume) (2018)
Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth
Machine learning for Internet of Things data analysis: A survey. CoRR (2018)
Seyed Amir Hoseinitabatabaei, Yasmin Fathy, Payam M. Barnaghi, Chonggang Wang, Rahim Tafazolli
A Novel Indexing Method for Scalable IoT Source Lookup. IEEE Internet Things J. 5 (3) (2018)
Masoud Hasanpour, S. Shariat, Payam M. Barnaghi, Seyed Amir Hoseinitabatabaei, Seiamak Vahid, Rahim Tafazolli
Quantum load balancing in ad hoc networks. Quantum Inf. Process. 16 (6) (2017)
Phillip Winderbank-Scott, Payam M. Barnaghi
A Non-invasive Wireless Monitoring Device for Children and Infants in Pre-Hospital and Acute Hospital Environments. iThings/GreenCom/CPSCom/SmartData (2017)
Alireza Ahrabian, Sefki Kolozali, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi
Data analysis as a web service: A case study using IoT sensor data. ICASSP (2017)
Alireza Ahrabian, Nazli FarajiDavar, Clive Cheong Took, Payam M. Barnaghi
Volatility Based Change Detection in Data Streams. CoRR (2017)
María Bermúdez-Edo, Tarek Elsaleh, Payam M. Barnaghi, Kerry Taylor
IoT-Lite: a lightweight semantic model for the internet of things and its use with dynamic semantics. Pers. Ubiquitous Comput. 21 (3) (2017)
Daniel Puschmann, Payam M. Barnaghi, Rahim Tafazolli
Adaptive Clustering for Dynamic IoT Data Streams. IEEE Internet Things J. 4 (1) (2017)
Emmanuel Bertin, Markus Hofmann, Payam M. Barnaghi
Virtualized environments, from connectivity to services. Ann. des Télécommunications 72 (7-8) (2017)
Alireza Ahrabian, Tarek Elsaleh, Yasmin Fathy, Payam M. Barnaghi
Detecting changes in the variance of multi-sensory accelerometer data using MCMC. IEEE SENSORS (2017)
Nazli FarajiDavar, Sefki Kolozali, Payam M. Barnaghi
A Deep Multi-View Learning Framework for City Event Extraction from Twitter Data Streams. CoRR (2017)
Shirin Enshaeifar, Seyed Amir Hoseinitabatabaei, Alireza Ahrabian, Payam M. Barnaghi
Pattern Identification for State Prediction in Dynamic Data Streams. iThings/GreenCom/CPSCom/SmartData (2017)
Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli
Distributed spatial indexing for the Internet of Things data management. IM (2017)
Alireza Ahrabian, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi
Segment Parameter Labelling in MCMC Mean-Shift Change Detection. CoRR (2017)
Dan Puiu, Payam M. Barnaghi, Ralf Toenjes, Daniel Kuemper, Muhammad Intizar Ali, Alessandra Mileo, Josiane Xavier Parreira, Marten Fischer, Sefki Kolozali, Nazli FarajiDavar, Feng Gao, Thorben Iggena, Thu-Le Pham, Cosmin-Septimiu Nechifor, Daniel Puschmann, João Fernandes
CityPulse: Large Scale Data Analytics Framework for Smart Cities. IEEE Access 4 (2016)
Frieder Ganz, Payam M. Barnaghi, François Carrez
Automated Semantic Knowledge Acquisition From Sensor Data. IEEE Syst. J. 10 (3) (2016)
Nazli FarajiDavar, Sefki Kolozali, Payam M. Barnaghi
Physical-cyber-social similarity analysis in smart cities. WF-IoT (2016)
Sefki Kolozali, Daniel Puschmann, María Bermúdez-Edo, Payam M. Barnaghi
On the Effect of Adaptive and Nonadaptive Analysis of Time-Series Sensory Data. IEEE Internet Things J. 3 (6) (2016)
Daniel Puschmann, Payam M. Barnaghi, Rahim Tafazolli
Marginal distribution clustering of multi-variate streaming IoT data. WF-IoT (2016)
María Bermúdez-Edo, Tarek Elsaleh, Payam M. Barnaghi, Kerry L. Taylor
IoT-Lite: A Lightweight Semantic Model for the Internet of Things. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld (2016)
Yasmin Fathy, Payam M. Barnaghi, Shirin Enshaeifar, Rahim Tafazolli
A distributed in-network indexing mechanism for the Internet of Things. WF-IoT (2016)
Payam M. Barnaghi, Amit P. Sheth
On Searching the Internet of Things: Requirements and Challenges. IEEE Intell. Syst. 31 (6) (2016)
Xiulei Liu, Bo Cheng, Jianxin Liao, Payam M. Barnaghi, Li Wan, Jingyu Wang
OMI-DL: An Ontology Matching Framework. IEEE Trans. Serv. Comput. 9 (4) (2016)
Payam M. Barnaghi, María Bermúdez-Edo, Ralf Tönjes
Challenges for Quality of Data in Smart Cities. ACM J. Data Inf. Qual. 6 (2-3) (2015)
Frieder Ganz, Daniel Puschmann, Payam M. Barnaghi, François Carrez
A Practical Evaluation of Information Processing and Abstraction Techniques for the Internet of Things. IEEE Internet Things J. 2 (4) (2015)
Pramod Anantharam, Payam M. Barnaghi, Krishnaprasad Thirunarayan, Amit P. Sheth
Extracting City Traffic Events from Social Streams. ACM Trans. Intell. Syst. Technol. 6 (4) (2015)
Payam M. Barnaghi, Amit P. Sheth, Vivek Singh, Manfred Hauswirth
Physical-Cyber-Social Computing: Looking Back, Looking Forward. IEEE Internet Comput. 19 (3) (2015)
Sefki Kolozali, Tarek Elsaleh, Payam M. Barnaghi
A Validation Tool for the W3C SSN Ontology based Sensory Semantic Knowledge. TC/SSN@ISWC (2014)
Frieder Ganz, Payam M. Barnaghi, François Carrez
Multi-resolution data communication in wireless sensor networks. WF-IoT (2014)
Gilbert Cassar, Payam M. Barnaghi, Klaus Moessner
Probabilistic Matchmaking Methods for Automated Service Discovery. IEEE Trans. Serv. Comput. 7 (4) (2014)
Sefki Kolozali, María Bermúdez-Edo, Daniel Puschmann, Frieder Ganz, Payam M. Barnaghi
A Knowledge-Based Approach for Real-Time IoT Data Stream Annotation and Processing. iThings/GreenCom/CPSCom (2014)
Gilbert Cassar, Payam M. Barnaghi, Wei Wang, Suparna De, Klaus Moessner
Composition of services in pervasive environments: A Divide and Conquer approach. ISCC (2013)
Amit P. Sheth, Payam M. Barnaghi, Markus Strohmaier, Ramesh C. Jain, Steffen Staab
Physical-Cyber-Social Computing (Dagstuhl Reports 13402). Dagstuhl Reports 3 (9) (2013)
Payam M. Barnaghi, Amit P. Sheth, Cory A. Henson
From Data to Actionable Knowledge: Big Data Challenges in the Web of Things. IEEE Intell. Syst. 28 (6) (2013)
Payam M. Barnaghi, Wei Wang, Lijun Dong, Chonggang Wang
A Linked-Data Model for Semantic Sensor Streams. GreenCom/iThings/CPScom (2013)
Martin Serrano, Hoan Quoc Nguyen-Mau, Manfred Hauswirth, Wei Wang, Payam M. Barnaghi, Philippe Cousin
Open services for IoT cloud applications in the future internet. WOWMOM (2013)
Pramod Anantharam, Payam M. Barnaghi, Amit P. Sheth
Data processing and semantics for advanced internet of things (IoT) applications: modeling, annotation, integration, and perception. WIMS (2013)
Gilbert Cassar, Payam M. Barnaghi, Wei Wang, Klaus Moessner
A Hybrid Semantic Matchmaker for IoT Services. GreenCom (2012)
Michael Compton, Payam M. Barnaghi, Luis Bermudez, Raul Garcia-Castro, Óscar Corcho, Simon J. D. Cox, John Graybeal, Manfred Hauswirth, Cory A. Henson, Arthur Herzog, Vincent A. Huang, Krzysztof Janowicz, W. David Kelsey, Danh Le Phuoc, Laurent Lefort, Myriam Leggieri, Holger Neuhaus, Andriy Nikolov, Kevin R. Page, Alexandre Passant, Amit P. Sheth, Kerry Taylor
The SSN ontology of the W3C semantic sensor network incubator group. J. Web Semant. 17 (2012)
Suparna De, Tarek Elsaleh, Payam M. Barnaghi, Stefan Meissner
An Internet of Things Platform for Real-World and Digital Objects. Scalable Comput. Pract. Exp. 13 (1) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Payam M. Barnaghi