Titlebook: Data Science and Network Engineering; Proceedings of ICDSN Suyel Namasudra,Munesh Chandra Trivedi,Pascal Lore Conference proceedings 2024 T

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Tuomas Virtanen,Mark D. Plumbley,Dan Ellisous change in land minerals, weather situation, and pesticide usage affect the yield of the crops. Farmers can choose successful crops for the season with the help of machine learning algorithms used for crop yield prediction. In this study, we forecasted agricultural production using numerous kinds

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Christopher K. W. Tam,Jay C. Webb,Zhong Donget. This paper examines how these methods can be used to detect ships. We trained and tested these two models on a large maritime dataset. On examining the performance of the two models, we have compared the working of both.

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Introduction: Polymer Melt Mechanics,is compared with the existing work. It is found that BASiP performs well in terms of the ROUGE score. Also, a case study is given at the end to show the efficiency of BASiP, in generating a meaningful summary.

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Evaluation of Hand-Crafted Features for the Classification of Spam SMS in Dravidian Languagesavidian languages like Tamil, Kannada, Telugu, and Malayalam and creates an optimal Spam-Ham filtering framework. Experimentation has also been carried out with a benchmark dataset for performance comparison regarding accuracy, precision, recall, and F1-score.

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BASiP: A Novel Architecture for Abstractive Text Summarizationis compared with the existing work. It is found that BASiP performs well in terms of the ROUGE score. Also, a case study is given at the end to show the efficiency of BASiP, in generating a meaningful summary.

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Arpita Barman Santra,Amiya Kumar Mallickizing facial expressions and efficiently recommending songs. The proposed model will be both time and cost-efficient. This yields better performance and computational time accuracy and reduces the design cost.