Residual Squeeze VGG16

The Compressed Model of Residual CNDS

Convolutional neural networks have achieved a great success in the recent years. Although, the way to maximize the performance of the convolutional neural networks still in the beginning. Furthermore, the optimization of the size and the time that need to train the convolutional neural networks is very far away from reaching the researcher's ambition. In this paper, we proposed a new convolutio...

Application of the German Traffic Sign Recognition Benchmark on the VGG16 network using transfer learning and bottleneck features in Keras

Hemoptysis provoked by voluntary diaphragmatic contractions in breath-hold divers.

Pulmonary barotrauma of descent (lung squeeze) has been described in breath-hold divers when the lung volume becomes smaller than the residual volume (RV), with the effect of increased ambient pressure. However, the ratio between the total lung capacity and the RV is not the only factor that plays a role in the lung squeeze. Blood shift into the thorax is another important factor. We report thr...

An Automatic Diagnosis Method of Facial Acne Vulgaris Based on Convolutional Neural Network

In this paper, we present a new automatic diagnosis method of facial acne vulgaris based on convolutional neural network. This method is proposed to overcome the shortcoming of classification types in previous methods. The core of our method is to extract features of images based on convolutional neural network and achieve classification by classifier. We design a binary classifier of skin-and-...

Magnetic fluid lubrication of porous pivoted slider bearing with slip and squeeze velocity

In this paper the problem on “Magnetic fluid lubrication of porous-pivoted slider bearing with slip velocity by N Ahmad et.al.[7]” has been recapitulated using Jenkin’s model [4] with the additional effect of squeeze velocity of the above plate. It is found that while discussing the above problem, [7] has stated but ignored the term , where +, in their study (Refer equation(2.2)). This paper re...