Flow chart of particle swarm algorithm. by Nour Eldeen Mahmoud Khalifa (19259450)

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A comparison among different optimizations and classifiers. by Nour Eldeen Mahmoud Khalifa (19259450)

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General procedural flow of clustering algorithm. by Sandeep Yerrathi (17775761)

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Computational complexity comparison with state-of-art-algorithms. by Sandeep Yerrathi (17775761)

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Simulation parameters set analogously for all of the algorithms. by Sandeep Yerrathi (17775761)

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Algorithm for generating hyperparameter. by Balraj Preet Kaur (20370832)

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”

Phase portraits comparison of the mentioned methods for the ankle joint. by Hedyeh Jafari (9667127)

Phase portraits comparison of the mentioned methods for the hip joint. by Hedyeh Jafari (9667127)

Results of machine learning algorithm. by Balraj Preet Kaur (20370832)

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”

Optimal cluster head approach. by Sandeep Yerrathi (17775761)

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Optimal cluster formation approach. by Sandeep Yerrathi (17775761)

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ROC comparison of machine learning algorithm. by Balraj Preet Kaur (20370832)

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”

The structure of the Resnet50. by Nour Eldeen Mahmoud Khalifa (19259450)

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Comparison of DeepDate and the other related work. by Nour Eldeen Mahmoud Khalifa (19259450)

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Testing accuracy and performance metrics for different DTL models for every class. by Nour Eldeen Mahmoud Khalifa (19259450)

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Image examples of date fruit dataset for every class. by Nour Eldeen Mahmoud Khalifa (19259450)

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Testing accuracy and performance metrics for different DTL models. by Nour Eldeen Mahmoud Khalifa (19259450)

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The bottleneck residual block for Resnet50. by Nour Eldeen Mahmoud Khalifa (19259450)

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Random sample of dataset image with the testing accuracy for every image with different classes. by Nour Eldeen Mahmoud Khalifa (19259450)

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The consumed time for Resnet50 and DeepDate model for (a) FS and training and (b) testing. by Nour Eldeen Mahmoud Khalifa (19259450)

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