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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Developing Algorithms for Adaptive Network Coding and Its Impact on Wireless Network Performance,pt at the back of ANC is to find the ideal combination of coded packets, considering channel conditions and network topology. By adjusting encoding techniques in response to converting environmental situations, ANC helps to maximize throughput and reduce overhead and latency. This paper proposes a s

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engagement

Enhancing Efficiency in 6G Radio Resource Allocation Using Machine Learning Algorithms,ction making technique on a cease-to-stop foundation. This paper proposes a more suitable implementation of 6G radio aid allocation the usage of device getting to know algorithms to expand a framework for optimized useful resource utilization. The consequences of the experiments conducted in a real-

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Exploring the Use of Transfer Learning for Automated Brain Tumor Segmentation, knowledge for automated brain tumor segmentation using a deep getting-to-know structure known as U-net. U-internet is a convolution neural community version that has been used efficiently to ramify scientific image segmentation obligations in the beyond. This work utilizes a U-internet model skille

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Catheter

Evaluation of Different Network Coding Algorithm Strategies for Wireless Systems,k efficiency, throughput, and facts switch velocity. Special procedures are taken, such as coding in any respect of nodes within the community or sure nodes, which includes area nodes or routers. One-of-a-kind coding algorithm techniques might be tested in this study, including threshold coding and

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Strategies to Minimize Network Latency for Better Electromagnetic Compatibility,the performance of a machine. Several techniques can be employed. The strategies encompass growing network throughput, minimizing interrupt latency, decreasing latency from packet scheduling, and optimizing higher-layer protocols. Growing network throughput can be accomplished by using more bandwidt

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Developing Efficient Game Theory Approaches for Spectrum Sharing in 6G Networks, to keeps to advantage commercial interest, the want to broaden a sustainable framework to make sure powerful and relaxed spectrum sharing arises. To this stop, sport principle methods are seen as a legitimate candidate to facilitate robust spectrum sharing in 6G networks. This paper offers unique a

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Generative Adversarial Networks for Self-Supervised Transfer Learning in Medical Image Classification,cal imaging facts without using guide labels. By way of using switch getting to know, the version can come across diffused patterns from the facts that are not easily located with the aid of the medical doctors or researchers. This method can diffuse clinical imaging packages consisting of type, seg

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Evolving ATM Networks for High Volume Transactions,ks are adopting the use of micro services and disbursed architectures to enable building an extra scalable infrastructure that can scale horizontally with minimal effort. A majority of these advances are main to ATM networks which are efficient, comfy and dependable.