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Titlebook: Computer Networks and Inventive Communication Technologies; Proceedings of Third S. Smys,Ram Palanisamy,Grigorios N. Beligiannis Conference

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Optimization of Merge Hypothesis for Automatic Image Caption Generation,ptimization of the general algorithm is done by using the vector embeddings of the words obtained from the dataset itself and using concatenation in the merging process. Finally, the performance of the proposed method is compared using a similarity measure and BLEU score.
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Comparative Study of Machine Learning Techniques for Chronic Disease Prognosis,to lower the risk. By selecting the appropriate model for each disease through comparative study, the prediction accuracy of 91.2% is reached for heart disease, 71.8% for arthritis, 91.7% for pulmonary disease, 96.1% for kidney disease, and 86.8% for diabetes.
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A Study on Suffix Trees and Their Applications in Genome Sequences Using MUMmer,ximal unique match (MUMmer) is discussed. Multiple genome alignment tools (Clustal Omega, Clustal W, MUSCLE, MAFFT and Mauve) are compared with MUMmer and are proving the efficiency of MUMmer, because of the use of the suffix trees.
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