Titlebook: Emerging Trends in Expert Applications and Security; Proceedings of 2nd I Vijay Singh Rathore,Vincenzo Piuri,Marta Campos Fe Conference pro

Mosaic

Natural Language Processing Workload Optimization Using Container Based Deployment,context to pre-train deep bi-directional representations from the unlabeled text. This allows us for a broad perspective of NLP works to be finetuned by the use of just one marginal output layer. The GLUE Benchmark is a set of resources which is used to train, assess and analyze the natural language

赤字

小母馬

,Prediction of Anemia Using Na?ve-Bayes Classification Algorithm in Machine Learning, classifications or predictions. Consider anemia prediction in the medical machine learning domain, which is the most common hematological disease. When there aren‘t enough good red blood cells in the body, oxygen can‘t go where it needs to go. This paper aims to use a machine learning algorithm to

Alienated

A Methodology for the Energy Aware Clustering and Aggregate Node Rotation with Sink Relocation in Mcritical components of the MANET. There are many nodes available between the path and destination as the data are transferred from the source to the destination nodes. Energy can be used by the intermediate nodes during data transfer, and some energy is lost during travel to the destination. The EAC

Graves’-disease

Differential Evolution Algorithm-Based Optimization of Networked Microgrids,G means linking the number of individual MGs via a typical common physical bus. In this architecture, each MG will transfer electric power with each other. This NMG contains a double layered cyber communication network. The two layers are a lower and upper layer. In the lower layer, each MG operatio

準(zhǔn)則

eardrum

A Novel Approach Towards Automated Disease Predictor System Using Machine Learning Algorithms,he user’s symptoms input. The model makes a prediction about whether a disease might exist based on the symptoms entered. The illness prediction method employs a variety of classifiers. These classifiers estimate how likely the illness is to occur. As big data is used more and more in the biomedical

Charade

Measure to Improve the Prediction Accuracy of a Convolutional Neural Network Model for Brain Tumor Resonance Imaging (MRI) technique is an efficient technique among various tumor diagnosing techniques. MRI images are used to classify whether a tumor is benign or malignant. Lives of millions of people can be saved if brain tumors are detected accurately as well as in the early stage. Thus, a high

Dysarthria

Improve Short-Term Stock Price Forecasts Through Deep Learning Algorithms,n, the examination of monetary information for stock cost anticipating has altogether sped up. RNN algorithms like LSTM (Long Short-Term Memory) and GRU (Gated Recurrent Unit) provide precise projections on stock market time series data. These calculations, then again, face bottleneck issues because

calamity