Titlebook: Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; ; ICDSMLA 2023, 15–16 Amit Kumar,Vinit

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Exploring the Use of Transfer Learning for Automated Brain Tumor Segmentation,fficient of zero. Ninety-three on check scans. Moreover, qualitative consequences display that the U-net version produces segmentation masks with few false-nice mistakes. These consequences reveal the capability of switch getting to know for automatic mind tumor segmentation.

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Conference proceedings 2025 scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning..

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Analyzing Clinical Data for Improved Diagnosis Using AI/ML Algorithms in Smart Health Care,able to make greater correct diagnoses and provide higher remedies to patients. The consequences of this take a look at imply that the AI/ML algorithms tested own the ability to enhance prognosis in clever healthcare in phrases of accuracy, precision, do not forget, and cost-effectiveness.

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Enhancing Effective Spectrum Utilization in 6G Cellular Networks via Sharing Algorithms,play that the proposed set of rules achieves giant improvements in spectral efficiency as compared to both a traditional unmarried-mobile method, and a present sharing algorithm proposed in the literature. Finally, experimental results are supplied, which demonstrate the effectiveness of the proposed set of rules in real-world check setups.

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Assessments of Channel Coding Performance in Data Compression and Source Coding, highest viable fee of data compression with minimal errors detection and correction, and bit blunders rates as little as possible. This guarantees that the records is transmitted securely and efficaciously.