In this paper, we propose a deep wavelet neural network (DWNN) model to approximate the natural phenomena that are described by some classical PDEs. Concretely, introduce wavelets architecture obtain fine feature description and extraction. That is, constructs expansion layer based on family of vanishing momentum wavelets. Second, Gaussian error function is considered as activation owing its fa...

The recognition of the Arabic characters is a crucial task in computer vision and Natural Language Processing fields. Some major complications recognizing handwritten texts include distortion pattern variabilities. So, feature extraction process significant NLP models. If features are automatically selected, it might result unavailability adequate data for accurately forecasting character class...

In this paper, an automatic system is presented for word recognition using real Turkish word signals. This paper especially deals with combination of the feature extraction and classification from real Turkish word signals. A Discrete Wavelet Neural Network (DWNN) model is used, which consists of two layers: discrete wavelet layer and multi-layer perceptron. The discrete wavelet layer is used f...

Ubiquitin-like proteins (Ubls) confer diverse functions on their target proteins. The modified proteins are involved in various biological processes, including DNA replication, signal transduction, cell cycle control, embryogenesis, cytoskeletal regulation, metabolism, stress response, homeostasis and mRNA processing. Modifiers such as SUMO, ATG12, ISG15, FAT10, URM1, and UFM have been shown to...

prediction of the waves’ specifications that is one of the key factors effective on transformation ofcoasts, production of renewable energies and design of marine structures, has always been importante.height of the waves is one of the most important and effective parameters of the wave. differentfactors are effective in variation of the waves’ height. in this research, variation in waves heigh...

Prediction of the waves’ specifications that is one of the key factors effective on transformation ofcoasts, production of renewable energies and design of marine structures, has always been importante.Height of the waves is one of the most important and effective parameters of the wave. Differentfactors are effective in variation of the waves’ height. In this research, variation in waves heigh...

Di erences in the size distribution of malignant and benign pulmonary nodules in databases used for training and testing characterization systems have a signi cant impact on the measured performance. The magnitude of this e ect and methods to provide more relevant performance results are explored in this paper. Twoand three-dimensional features, both including and excluding size, and two classi...