Muhammad Saad

Affiliations:
  • University of Waterloo, Department of Electrical and Computer Engineering, Ontario, Canada


According to our database1, Muhammad Saad authored at least 10 papers between 2020 and 2024.

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

Timeline

2020
2021
2022
2023
2024
0
1
2
3
4
5
6
1
2
2
5

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Action Knowledge Graph for Violence Detection Using Audiovisual Features.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

2023
Gaming-Based Education System for Children on Road Safety in Metaverse Towards Smart Cities.
Proceedings of the IEEE International Smart Cities Conference, 2023

Combating Counterfeit Products in Smart Cities with Digital Twin Technology.
Proceedings of the IEEE International Smart Cities Conference, 2023

2021
Evaluation of Imputation Models Based on the Enhancement to Yield Forecasting.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Versatile Deep Learning Based Application for Time Series Imputation.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Tackling Imputation Across Time Series Models Using Deep Learning and Ensemble Learning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Machine Learning Based Approaches for Imputation in Time Series Data and their Impact on Forecasting.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Imputation Impact on Strawberry Yield and Farm Price Prediction Using Deep Learning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Prediction of Strawberry Yield and Farm Price Utilizing Deep Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep Learning Based Approach for Fresh Produce Market Price Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020


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