Titlebook: Applied Computing to Support Industry: Innovation and Technology; First International Mohammed I. Khalaf,Dhiya Al-Jumeily,Alexei Lisitsa C

一起

Lung Boundary Detection and Classification in Chest X-Rays Images Based on Neural Networkments, and shape irregularities using segmentation techniques that are used in image processing on chest radiographs. For the CXR image, we extract 18 various features using the gray level co-occurrence matrix (GLCM) which enables the CXR to be classified as normal or abnormal using the probabilisti

Conclave

細(xì)節(jié)

VIKOR Algorithm Based on Cuckoo Search for Multi-document Text Summarizationt Analysis Conference (TAC-2011) for English documents. The performance of the proposed model is evaluated using the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metric. The obtained results support the effectiveness of the proposed model.

Eructation

Mitigate the Reverberant Effects on Speaker Recognition via Multi-training are then investigated to mitigate such detrimental effects. The first uses matched train/test speaker models based on estimated reverberation time (RT) values. The second utilizes two-condition training where clean and reverberant models are used. Lastly, a four-condition training setup is proposed

油膏

傷心

Deep Learning Approach Based Dominant Age Group Based Classification for Social Networket was 20,000 sample sentences. The experiment was tested over the collected sample sentence dataset. The detail analysis has been done with use of punctuation, number of character, topic used in the sentence. The above characteristics are used for the age group classification. This dataset has been

Substance-Abuse

A Novel Detection System for Human Retina Based on Fuzzification Neural Networkn retina is considered the most protect scheme of modern applications. The novelty in this paper is integrated between fuzzy set and deep learning neural networks. Practically, this is first time to integrate between fuzzification model and artificial neural network. The obtained experimental result

GEN

Multi View Face Detection in Cattle Using Infrared Thermographyhis paper is proposing a new method for Multi-view face detection in cattle with accuracy enhancement by using three classifiers and temperature thresholding. Classifiers are established by using Histogram Oriented Gradient (HOG) as features and Support vector machine (SVM) for classification. The r

可互換

昆蟲