Since the emergence of mobile devices, the architecture of mobile applications have been transformed significantly and its complexity has grown enormously. In such mobile applications, the User Interface (UI) is an ...

In the past decade, the industrial control systems have experienced rapid changes due to the continuous advancements of software technology. The domain of alarm systems is undergoing deep interest in the research community ...

Electroencephalography (EEG) is one of the most clinically and scientifically exploited signals recorded from humans. Hence, its measurement plays a prominent role in brain studies. In particular, the examination of EEG ...

3D Cardiac Magnetic Resonance Imaging (MRI) is widely used for the diagnosis of cardiac diseases such as congenital heart defect, left ventricular hypertrophy and left atrium hypertrophy etc. It is one of the noninvasive ...

This research consist of a generic Stochastic Replenishment Model that will help to manage the inventory stock optimistically to avoid stock out situation. The research also proposes MRP (Material Requirement Planning) ...

Air is an important component of human life, without air life cannot exist. The contaminated air is called pollution of air. Air quality refers to whether the air is bad or good, bad quality air is considered polluted ...

Liver is the largest organ of the human body with more than 500 vital functions. In recent decade number of liver patient has been reported such as cirrhosis, fibrosis, or other liver disorder. There is a need of effective, ...

Understanding of human language text in written form by a computer tool is possible because of Natural language processing (NLP). NLP utilizes the principles of artificial intelligence (AI). The creation of NLP soft wares ...

Urinalysis is a significant technique used for inspecting the urinary system. Urine has numerous chemical materials secreted; these materials can be used to diagnose diseases and conditions such as urinary tract infection, ...

Feature selection is the technique applied in data mining to extract relevant features for better understanding of data. Many researchers have applied feature selection in supervised learning but it becomes a challenging ...