Muhammad Saad

According to our database, Muhammad Saad authored at least 7 papers between 2020 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Evaluation of Imputation Models Based on the Enhancement to Yield Forecasting.

Mohita Chaudhary, Muhammad Saad, Lobna Nassar, Fakhri Karray

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Versatile Deep Learning Based Application for Time Series Imputation.

Muhammad Saad, Mohita Chaudhary, Lobna Nassar, Fakhri Karray, Vincent C. Gaudet

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Tackling Imputation Across Time Series Models Using Deep Learning and Ensemble Learning.

Muhammad Saad, Lobna Nassar, Fakhri Karray, Vincent C. Gaudet

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.

Muhammad Saad, Mohita Chaudhary, Fakhri Karray, Vincent C. Gaudet

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.

Lobna Nassar, Muhammad Saad, Ifeanyi Emmanuel Okwuchi, Mohita Chaudhary, Fakhri Karray, Kumaraswamy Ponnambalam

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Prediction of Strawberry Yield and Farm Price Utilizing Deep Learning.

Lobna Nassar, Ifeanyi Emmanuel Okwuchi, Muhammad Saad, Fakhri Karray, Kumaraswamy Ponnambalam, Prarabdha Agrawal

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep Learning Based Approach for Fresh Produce Market Price Prediction.

Lobna Nassar, Ifeanyi Emmanuel Okwuchi, Muhammad Saad, Fakhri Karray, Kumaraswamy Ponnambalam

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020