Titlebook: Computational Intelligence in Pattern Recognition; Proceedings of CIPR Asit Kumar Das,Janmenjoy Nayak,Danilo Pelusi Conference proceedings

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Handling Class Imbalance Problem Using Support Vector Machine,on-stroke classes based on health diagnosis data collected from Kaggle. After balancing the data, we conducted several experiments to test the model’s functioning using various traditional classification models.

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A CNN-Based Approach for Face Recognition Under Different Orientations,cting and recognizing the face at varying angles. The proposed CNN model is tested on three datasets, namely ‘MepcoECE’ dataset which was created with 24 subjects in real-time which consists of facial images at varying angles, and two benchmark datasets, namely ORL dataset and GTF dataset, and achieved a superior performance in benchmark datasets.

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Conference proceedings 2023IPR 2023), held at Department of Computer Science and Engineering, Techno Main Salt Lake, West Bengal, India, during May 27–28, 2023. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and class

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Search Engine Ranking: A SEO Strategy,es such as ResNet50V2 and MobileNetV2 have been compared and plotted. The primary success of this research is that a very much complex problem is solved in a much simpler way. The experimental results prove the validity of our proposed work.

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一大群

Strategies in Failure Managementthis paper, the optimal outcomes were accomplished by VGG-16 algorithm with steady learning rate of 0.001 and Adam optimizer displaying accuracy on the validation data as 98.70. The execution provides a wider objective and application of the model in dentistry.

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Failure in Personnel Developmenthave been done to highlight the behavior of the extracted watermark. A performance analysis is given for each such transformation. Moreover, a performance comparison of the developed model with another exisiting approach is also presented.

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