Humans’ fundamental need is interaction with each other such as using conversation or speech. Therefore, it crucial to analyze speech computer technology determine emotions. The emotion recognition (SER) method detects emotions in by examining various aspects. SER a supervised decide the class This research proposed multimodal model one of deep learning based enhancement techniques, which atten...

Abstract. Can we improve machine-learning (ML) emulators with synthetic data? If data are scarce or expensive to source and a physical model is available, statistically generated may be useful for augmenting training sets cheaply. Here explore the use of copula-based models generating synthetically augmented datasets in weather climate by testing method on toy downwelling longwave radiation cor...

Abstract Image data-augmentation algorithms effectively trump the problem of insufficient training samples for deep learning in some application fields, and it is typically scholars to choose them various computer vision tasks. But as develop rapidly, early proposed classification that are sorted into classical ways generating methods no more suitable, because such misses other meaningful strat...

introduction in spite of multiple applications of bioactive glasses, these materials have not been evaluated yet for ridge augmentation. due to the large number of patients who need ridge augmentation and the benefits of nova bone, in comparison with other alloplasts, this study was fulfilled for evaluation of nova bone ability in ridge augmentation. methods the samples of this experimental stu...

Assume that the function fX : R → [0,∞) is a probability density function (pdf). Suppose that g : R → R is a function of interest and that we want to know the value of EfXg = ∫ Rp g(x)fX(x) dx, but this integral cannot be computed analytically. There are many ways of approximating such intractable integrals and these include numerical integration, analytical approximations and Monte Carlo metho...

Convolutional neural network (CNN) architectures utilize downsampling layers, which restrict the subsequent layers to learn spatially invariant features while reducing computational costs. However, such a downsampling operation makes it impossible to use the full spectrum of input features. Motivated by this observation, we propose a novel layer called parallel grid pooling (PGP) which is appli...

Sentiment analysis refers to the process of automatically identifying emotions expressed by people. Its accuracy is highly dependent on amount training data. However, it takes time and cost for humans collect a large number Many research works used generative models generate data based small sentiment analysis. long texts inaccurate information that might be generated are two severe challenges....