A distributed in-network indexing mechanism for the Internet of Things. - Yasmin Fathy; Payam M. Barnaghi; Shirin Enshaeifar; Rahim Tafazolli (WF-IoT, 2016)

Detecting changes in the variance of multi-sensory accelerometer data using MCMC. - Alireza Ahrabian; Tarek Elsaleh; Yasmin Fathy; Payam M. Barnaghi (IEEE SENSORS, 2017)

Distributed spatial indexing for the Internet of Things data management. - Yasmin Fathy; Payam M. Barnaghi; Rahim Tafazolli (IM, 2017)

An adaptive method for data reduction in the Internet of Things. - Yasmin Fathy; Payam M. Barnaghi; Rahim Tafazolli (WF-IoT, 2018)

Large-Scale Indexing, Discovery, and Ranking for the Internet of Things (IoT). - Yasmin Fathy; Payam M. Barnaghi; Rahim Tafazolli (ACM Comput. Surv., 2018)

A Novel Indexing Method for Scalable IoT Source Lookup. - Seyed Amir Hoseinitabatabaei; Yasmin Fathy; Payam M. Barnaghi; Chonggang Wang; Rahim Tafazolli (IEEE Internet Things J., 2018)

Federation of Internet of Things Testbeds for the Realization of a Semantically-Enabled Multi-Domain Data Marketplace. - Luis Sánchez; Jorge Lanza; Juan Ramón Santana; Rachit Agarwal 002; Pierre-Guillaume Raverdy; Tarek Elsaleh; Yasmin Fathy; SeungMyeong Jeong; Aris Dadoukis; Thanasis Korakis; Stratos Keranidis; Philip O'Brien; et al. (Sensors, 2018)

Quality-Based and Energy-Efficient Data Communication for the Internet of Things Networks. - Yasmin Fathy; Payam M. Barnaghi (IEEE Internet Things J., 2019)

Best practices for publishing, retrieving, and using spatial data on the web. - 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; et al. (Semantic Web, 2019)

An Online Adaptive Algorithm for Change Detection in Streaming Sensory Data. - Yasmin Fathy; Payam M. Barnaghi; Rahim Tafazolli (IEEE Syst. J., 2019)

Bayesian Autoencoders for Drift Detection in Industrial Environments. - Bang Xiang Yong; Yasmin Fathy; Alexandra Brintrup (MetroInd4.0&IoT, 2020)

Learning With Imbalanced Data in Smart Manufacturing: A Comparative Analysis. - Yasmin Fathy; Mona Jaber; Alexandra Brintrup (IEEE Access, 2021)

Digital Twin-Driven Decision Making and Planning for Energy Consumption. - Yasmin Fathy; Mona Jaber; Zunaira Nadeem (J. Sens. Actuator Networks, 2021)

The COVID-19 Data Portal: accelerating SARS-CoV-2 and COVID-19 research through rapid open access data sharing. - Peter W. Harrison; Rodrigo Lopez; Nadim Rahman; Stefan Gutnick Allen; Raheela Aslam; Nicola Buso; Carla A. Cummins; Yasmin Fathy; Eloy Felix; Mihai Glont; Suran Jayathilaka; Sandeep Kadam; et al. (Nucleic Acids Res., 2021)

ConSLAM: Periodically Collected Real-World Construction Dataset for SLAM and Progress Monitoring. - Maciej Trzeciak; Kacper Pluta; Yasmin Fathy; Lucio Alcalde; Stanley Chee; Antony Bromley; Ioannis K. Brilakis; Pierre Alliez (ECCV Workshops (7), 2022)

Construction and Maintenance of Building Geometric Digital Twins: State of the Art Review. - Viktor Drobnyi; Zhiqi Hu; Yasmin Fathy; Ioannis K. Brilakis (Sensors, 2023)

ConSLAM: Construction Data Set for SLAM. - Maciej Trzeciak; Kacper Pluta; Yasmin Fathy; Lucio Alcalde; Stanley Chee; Antony Bromley; Ioannis K. Brilakis; Pierre Alliez (J. Comput. Civ. Eng., 2023)

A low complexity contextual stacked ensemble-learning approach for pedestrian intent prediction. - Chia-Yen Chiang; Yasmin Fathy; Gregory G. Slabaugh; Mona Jaber (CoRR, 2024)