Titlebook: Advancements in Smart Computing and Information Security; First International Sridaran Rajagopal,Parvez Faruki,Kalpesh Popat Conference pr

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書(shū)目名稱(chēng)Advancements in Smart Computing and Information Security影響因子(影響力)




書(shū)目名稱(chēng)Advancements in Smart Computing and Information Security影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Advancements in Smart Computing and Information Security網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Advancements in Smart Computing and Information Security網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Advancements in Smart Computing and Information Security被引頻次




書(shū)目名稱(chēng)Advancements in Smart Computing and Information Security被引頻次學(xué)科排名




書(shū)目名稱(chēng)Advancements in Smart Computing and Information Security年度引用




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書(shū)目名稱(chēng)Advancements in Smart Computing and Information Security讀者反饋




書(shū)目名稱(chēng)Advancements in Smart Computing and Information Security讀者反饋學(xué)科排名

發(fā)生

olfction

https://doi.org/10.1007/978-3-031-60037-1entation, image analysis, etc. In the proposed five models achieved the VGG16 98.43%, VGG19 98.65%, InceptionV4 98.57, ResNet-50 98.57% model to identify diseases in rice leaf images with a transfer learning technique. Using these model parameters, the final proposed VVIR model accurately classified objects with a accuracy of 98.80%.

Conducive

Monotonous

種類(lèi)

https://doi.org/10.1007/978-981-15-3278-8s the reviews of research in opinion analysis using deep learning models with their advantages and disadvantage. It also investigated different neural networks, their architecture, dataset, and other techniques.

淺灘

厚顏

因無(wú)茶而冷淡

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