Titlebook: Proceedings of Fifth Doctoral Symposium on Computational Intelligence; DoSCI 2024, Volume 4 Abhishek Swaroop,Vineet Kansal,Aboul Ella Hassa

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,Comparative Analysis of?Machine Learning and?Deep Learning Classifiers for?Crack Classification,ch achieves an accuracy of 66.92%. These results highlight the effectiveness of VGG16 in handling the intricacies of historic crack detection, showcasing its superior performance compared to random forest in the context of accuracy.

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Brain Tumor MRI Segmentation Using Deep Instance Segmentation with Bioinspired Optimization Algorithm,n process. Finally, the hyperparameter tuning of the ICUnet++ model takes place by the use of the AERO algorithm. The experimental validation of the BTS-AERODL model is validated on a benchmark brain MRI datasets. The wide results stated the enhanced results of the BTS-AERODL model over other approaches.

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大洪水

K. Phaneendra,Sk. Saleema,K. Kusumalatha,K. Akash,P. Purnima Nikitha Sai,M. Babureddywith the capacity for handling relatively large quantities of water, and has been impressed by the therapeutic effectiveness of restricting sodium intake and the ineffectiveness of restricting water intake when sodium intake is unrestricted. These clinical observations conformed with the physiologis

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