Abdullah Alsalemi
Orcid: 0000-0001-7574-4766
According to our database1,
Abdullah Alsalemi
authored at least 50 papers
between 2017 and 2024.
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Bibliography
2024
Energy data classification at the edge: a comparative studyfor energy efficiency applications.
Clust. Comput., June, 2024
Internet Things, April, 2024
CoRR, 2024
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024
An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Using big data and federated learning for generating energy efficiency recommendations.
Int. J. Data Sci. Anal., September, 2023
Lightweight Gramian Angular Field classification for edge internet of energy applications.
Clust. Comput., April, 2023
2022
IEEE Syst. J., 2022
Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions.
Int. J. Intell. Syst., 2022
Blockchain-based recommender systems: Applications, challenges and future opportunities.
Comput. Sci. Rev., 2022
Corrections to "A High-Realism and Cost-Effective Training Simulator for Extracorporeal Membrane Oxygenation".
IEEE Access, 2022
Creating 3D Gramian Angular Field Representations for Higher Performance Energy Data Classification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022
2021
Assessing Learning Outcomes in Extracorporeal Membrane Oxygenation Simulations With a Novel Simulator and Instructor Application.
IEEE Trans. Learn. Technol., 2021
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects.
Inf. Fusion, 2021
The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency.
Int. J. Intell. Syst., 2021
Smart power consumption abnormality detection in buildings using micromoments and improved K-nearest neighbors.
Int. J. Intell. Syst., 2021
An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals.
Int. J. Intell. Syst., 2021
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier.
CoRR, 2021
A High-Realism and Cost-Effective Training Simulator for Extracorporeal Membrane Oxygenation.
IEEE Access, 2021
Endorsing Energy Efficiency Through Accurate Appliance-Level Power Monitoring, Automation and Data Visualization.
Proceedings of the Networking, Intelligent Systems and Security, 2021
Proceedings of the Intelligent Systems and Applications, 2021
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
Detection of Appliance-Level Abnormal Energy Consumption in Buildings Using Autoencoders and Micro-moments.
Proceedings of the BDIoT'21: Proceedings of the 5th International Conference on Big Data and Internet of Things, 2021
2020
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations.
Inf. Fusion, 2020
The emergence of Explainability of Intelligent Systems: Delivering Explainable and Personalised Recommendations for Energy Efficiency.
CoRR, 2020
Anomaly detection of energy consumption in buildings: A review, current trends and new perspectives.
CoRR, 2020
Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional.
CoRR, 2020
Improving in-home appliance identification using fuzzy-neighbors-preserving analysis based QR-decomposition.
CoRR, 2020
CoRR, 2020
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks.
Cogn. Comput., 2020
Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations.
IEEE Access, 2020
Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
On the Applicability of 2D Local Binary Patterns for Identifying Electrical Appliances in Non-intrusive Load Monitoring.
Proceedings of the Intelligent Systems and Applications, 2020
Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the IEEE International Conference on Informatics, 2020
Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency.
Proceedings of the 6th IEEE International Conference on Big Data Computing Service and Applications, 2020
2019
The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving.
IEEE Syst. J., 2019
Proceedings of the 2019 IEEE SmartWorld, 2019
"I Want to ... Change": Micro-moment based Recommendations can Change Users' Energy Habits.
Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems, 2019
Reshaping Consumption Habits by Exploiting Energy-Related Micro-moment Recommendations: A Case Study.
Proceedings of the Smart Cities, Green Technologies and Intelligent Transport Systems, 2019
Proceedings of the Intelligent Systems and Applications, 2019
2018
Proceedings of the 2018 International Conference on Computer and Applications (ICCA), 2018
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018
2017
Real-Time Communication Network Using Firebase Cloud IoT Platform for ECMO Simulation.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017