This research presents a way of feature selection problem for classification sentiments that use ensemble-based classifier. includes hybrid approach minimum redundancy and maximum relevance (mRMR) technique Forest Optimization Algorithm (FOA) (i.e. mRMR-FOA) based selection. Before applying the FOA on sentiment analysis, it has been used as applied 10 different datasets publically available UCI...

Abstract Efficient word representation techniques (word embeddings) with modern machine learning models have shown reasonable improvement on automatic text classification tasks. However, the effectiveness of such has not been evaluated yet in terms insufficient vector for training. Convolutional Neural Network achieved significant results pattern recognition, image analysis, and classification....

conclusions bovine rotavirus presents 6% of calf diarrhea in pakistani cattle and buffalo samples. the vp4 and vp6 genes show closed relationships with bovine rotavirus reported from indian isolates. background group a bovine rotaviruses (brv) are one of the main factors of neonatal calf diarrhea and mortality around the world. the current study was carried out to assess the genetics of brv cir...

the occupy wall street movement has presented a series of challenges to local law enforcement agencies. in response, many of them have relied on a variety of aggressive tactics, which in some cases have shocked public opinion, putting the issue of protest policing on the national agenda. three main narratives have emerged to explain these tactics: 1) there has been a broad “militarization” of t...

Comparative genetic maps are used in examination of genome organization, detection of conserved gene order, and exploration of marker order variations. YouGenMap is an open-source web tool that offers dynamic comparative mapping capability of users' own genetic mapping between 2 or more map sets. Users' genetic map data and optional gene annotations are uploaded, either publically or privately,...

Feature selection is the process of identifying most relevant features from given data having a large feature space. Microarray datasets are comprised high-quality and very few samples data. performed on such to identify optimal subset. The major goal improve accuracy by minimal For this purpose, proposed research focused analyzing effective algorithms. A novel framework which utilizes differen...

Humans can perform an enormous number of actions like running, walking, pushing, and punching, them in multiple ways. Hence recognizing a human action from video is challenging task. In supervised learning environment, are first represented using robust features then classifier trained for classification. The selection does affect the performance recognition. This work focuses on comparison two...

Salmonella enterica serovars is a leading cause of human gastroenteritis, and the incidence of salmonellosis constantly increasing, causing millions infections and many deaths annually. The detection pathogen in optimal terms an essential factor for reducing impact on body. In this work, SYBR Green I-based qPCR method quantification was developed validated. For subsp. enterica, two pairs pr...