Generally, human epidermal growth factor 2 (HER2) breast cancer is more aggressive than other kinds of cancer. Currently, HER2 detected using variety medical test which are most expensive. Therefore, the aim this study was to develop a computational model named convoHER2 for detecting with image data convolution neural network (CNN). Hematoxylin and eosin (H&E) immunohistochemical (IHC) sta...

a new multi-stage fuzzy (msf) controller based on multi-objective harmony search algorithm (mohsa) is proposed in this paper to solve the load frequency control (lfc) problem of power systems in deregulated environment. lfc problem are caused by load perturbations, which continuously disturb the normal operation of power system. the objectives of lfc are to mini small size the transient deviati...

Classifications of several gesture types are very helpful in several applications. This paper tries to address fast classifications of hand gestures using DTW over multi-core simple processors. We presented a methodology to distribute templates over multi-cores and then allow parallel execution of the classification. The results were presented to voting algorithm in which the majority vote was ...

In this study, an early fire detection algorithm has been proposed based on low cost array sensing system, utilising off- the shelf gas sensors, dust particles and ambient sensors such as temperature and humidity sensor. The odour or "smellprint" emanated from various fire sources and building construction materials at early stage are measured. For this purpose, odour profile data from five com...

Multi-label classification has many applications in the text categorization, biology and medical diagnosis, in which multiple class labels can be assigned to each training instance simultaneously. As it is often the case that there are relationships between the labels, extracting the existing relationships between the labels and taking advantage of them during the training or prediction phases ...

  Among various statistical and data mining discriminant analysis proposed so far for group classification, linear programming discriminant analysis has recently attracted the researchers’ interest. This study evaluates multi-group discriminant linear programming (MDLP) for classification problems against well-known methods such as neural networks and support vector machine. MDLP is less compli...

Intrusion detection of IoT-based data is a hot topic and has received lot interests from researchers practitioners since the security IoT networks crucial. Both supervised unsupervised learning methods are used for intrusion networks. This paper proposes an approach three stages considering clustering with reduction stage, oversampling classification by Single Hidden Layer Feed-Forward Neural N...