Ameema Zainab

Orcid: 0000-0002-3754-4162

According to our database1, Ameema Zainab authored at least 15 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Information Security using GNU Privacy Guard.
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

2022
Towards heat tolerant metagenome functional prediction, coral microbial community composition, and enrichment analysis.
Ecol. Informatics, 2022

Intelligent Automation of Crime Prediction using Data Mining.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

2021
A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System.
IEEE Access, 2021

Big Data Management in Smart Grids: Technologies and Challenges.
IEEE Access, 2021

Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark.
IEEE Access, 2021

Smart Grid Big Data Analytics: Survey of Technologies, Techniques, and Applications.
IEEE Access, 2021

Deep Learning-based Face Mask Usage Detection on Low Compute Resource Devices.
Proceedings of the IEEE International Performance, 2021

Investigation on Optimizing Cost Function to Penalize Underestimation of Load Demand through Deep Learning Modeling.
Proceedings of the IECON 2021, 2021

2020
Ensemble-Based Spam Detection in Smart Home IoT Devices Time Series Data Using Machine Learning Techniques.
Inf., 2020

Deployment of Deep Learning Models on Resource-Deficient Devices for Object Detection.
Proceedings of the IEEE International Conference on Informatics, 2020

Performance Evaluation of Tree-based Models for Big Data Load Forecasting using Randomized Hyperparameter Tuning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Deployment of Deep Learning Models to Mobile Devices for Spam Classification.
Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

Faulted Line Identification and Localization in Power System using Machine Learning Techniques.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Averaging Ensembles Model for Forecasting of Short-term Load in Smart Grids.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019


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