Titlebook: Computational Advancement in Communication, Circuits and Systems; Proceedings of 3rd I M. Mitra,Mita Nasipuri,Maitreyi Ray Kanjilal Confere

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書目名稱Computational Advancement in Communication, Circuits and Systems影響因子(影響力)




書目名稱Computational Advancement in Communication, Circuits and Systems影響因子(影響力)學(xué)科排名




書目名稱Computational Advancement in Communication, Circuits and Systems網(wǎng)絡(luò)公開度




書目名稱Computational Advancement in Communication, Circuits and Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Advancement in Communication, Circuits and Systems被引頻次




書目名稱Computational Advancement in Communication, Circuits and Systems被引頻次學(xué)科排名




書目名稱Computational Advancement in Communication, Circuits and Systems年度引用




書目名稱Computational Advancement in Communication, Circuits and Systems年度引用學(xué)科排名




書目名稱Computational Advancement in Communication, Circuits and Systems讀者反饋




書目名稱Computational Advancement in Communication, Circuits and Systems讀者反饋學(xué)科排名

宣誓書

翻動(dòng)

extemporaneous

,New Sorting Algorithm—RevWay Sort, to 50,000 elements. We found that the newly proposed RevWay sort yields lesser running time compared to bubble and selection sort. For 10,000 elements, RevWay sort takes 203.636?ms, whereas bubble sort takes 364.8243ms and selection sort consumes 337.5543?ms.

箴言

Obedient

Springer Tracts in Civil Engineeringis deep learning model is designed to consist of 25-layer for plant disease classification. The trained model achieved 96.64% accuracy to detect the plant disease. The proposed deep learning convolution neural network model may have great potential in disease detection for current cultivation on large scale.

Obedient

Structural Analysis with Finite Elementsing two- and three-vertices with given edges and color them accordingly. We also propose a quantum algorithm for coloring of trees. For each of the cases, we discuss the quantum costs and complexities and compare it with the classical approach.

Angiogenesis

Structural Analysis with Finite Elements to 50,000 elements. We found that the newly proposed RevWay sort yields lesser running time compared to bubble and selection sort. For 10,000 elements, RevWay sort takes 203.636?ms, whereas bubble sort takes 364.8243ms and selection sort consumes 337.5543?ms.

disciplined

Leaven