Titlebook: Advanced Network Technologies and Intelligent Computing; Third International Anshul Verma,Pradeepika Verma,Isaac Woungang Conference proce

DRAFT

過(guò)份

https://doi.org/10.1007/978-3-662-07591-3 are Training and Testing accuracy, Precision, recall, and F1 score. The study proves to provide the best results with the highest training accuracy of 98.80% and testing accuracy of 94.74% with the InceptionV3 models compared to ResNet152V2 and VGG19.

偽善

收養(yǎng)

https://doi.org/10.1007/b138878Forest, Na?ve Bayes and Neural Network were implemented. Besides these methods a lexicon-based approach was used to see the overall variation in the results. The lexicon resource for Benali was created for this implementation.

Gentry

Machine Learning Analysis on?Hate Speech Against Asiansyes, LSTM and CNN, the latter presented the better results and was later used for the development of a Twitter bot, able to consult whether or not any given thread had a tendency to racism. Thus, by the end of this study, racism messages classification was proven to be possible, opening possibilities to deepening on this subject.

troponins

Deep Transfer Learning for?Enhanced Blackgram Disease Detection: A Transfer Learning - Driven Approa are Training and Testing accuracy, Precision, recall, and F1 score. The study proves to provide the best results with the highest training accuracy of 98.80% and testing accuracy of 94.74% with the InceptionV3 models compared to ResNet152V2 and VGG19.

MEEK

Sustainable Natural Gas Price Forecasting with DEEPARa Root Mean Squared Error (RMSE) of 0.2021. This model provides valuable insights for stakeholders and serves as a tool to estimate natural gas market prices, assisting in decision-making within the competitive market. The approach used in this study enhances forecasting performance, enabling efficient management of the energy system.

Charade

Analyzing the Performance of BERT for the Sentiment Classification Task in Bengali TextForest, Na?ve Bayes and Neural Network were implemented. Besides these methods a lexicon-based approach was used to see the overall variation in the results. The lexicon resource for Benali was created for this implementation.

SEEK

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