The unique ability of shape memory alloy or smart alloy to memorize its previous form has
drawn notable attention recently in a wide range of commercial applications. In efforts to …

The current investigation aims at highlighting the application potential of a smart
approximation tool, which is general regression neural network (GRNN) during machining of …

With the development of the electric market, electric load forecasting has been increasingly
pursued by many scholars. Because the electric load is affected by many factors, it is …

With development of science and technology in this digital era, the digital imaging is
increasing expeditiously in every field. This digital image processing converts the image into …

Two-wheeled wheelchairs have been used as alternatives for the elderly and disabled
people to perform physical activities due to their restriction of movement. Significant …

Breast cancer is the most common cancer among women and a major cause of death
globally. A high percentage of the cancer death can be reduced if it is detected earlier …

This article deals with the application of reliability analysis for determining the safety of
simply supported beam under the uniformly distributed load. The uncertainties of the existing …

Angiogenesis is known as the key factor in vascular tumor growth. In addition to furnishing
the tumor with fresh nutrients to survive and spread to the other tissues, tumor-induced …

Neural Networks are one of the widely used Soft Computing Techniques. Neural Networks
are adaptive and learn from past examples. Neural Networks are used successfully in …

The objective of this thesis is to describe the design of a complex adaptive system that can
extract information from an electrochemical sensor for accurate detection of multiple species …