This paper discusses the implications of using genetically modified crops to biomanufacture pharmaceuticals and industrial compounds from the perspective of their co-existence with conventional agriculture. Such plant-made pharmaceuticals and plantmade industrial products rely on exciting scientific and technological breakthroughs and promise new opportunities for the agricultural sector, but t...

This thesis explores derived parameter optimization technique to optimize the performance of forecasting models. This study presents artificial neural network (ANN) based computational approach for predicting the stock market trend of companies from five different sectors such as:IT Sector (Infosys), Banking Sector (SBI), Consumer Goods Sector (Tata Motors), Industrial Goods Sector (BHEL) and B...

As employers increasingly view disability as a form of diversity that can enrich the workplace and improve performance, company in industrial sector Midwest created an innovative initiative for employing individual with autism spectrum disorder (ASD). A case study methodology was utilized to gain better understanding effective employer practices hiring integrating employees ASD. The framed by Y...

This work presents an expert system prototype that integrates concepts from Design Methodology, Artificial Intelligence, Object-Oriented Modeling and Hydraulic System Design, developed as a research project using CLIPS, the project had intensive validation by industrial and academic experts. The development applied INTERNET technologies for knowledge harvesting and user interface. The paper dis...