Soft Computing, Artificial Intelligence and Applications

DESIGN OF DUAL AXIS SOLAR TRACKER SYSTEM BASED ON FUZZY INFERENCE SYSTEMS Hamzah Hijawi and Labib Arafeh Arab American University, Jenin, Palestine ABSTRACT Electric power is a basic need in today’s life. Due to the extensive usage of power, there is a need to look for an alternate clean energy source. Recently many researchers have focused on the solar energy as a reliable alternative power source. Photovoltaic panels are used to collect sun radiation and convert it into electrical energy. Most of the photovoltaic panels are deployed in a fixed position, they are inefficient as they are fixed only at a specific angle. The efficiency of photovoltaic systems can be considerably increased with an ability to change the panels angel according to the sun position. The main goal of such systems is to make the sun radiation perpendicular to the photovoltaic panels as much as possible all the day times. This paper presents a dual axis design for a fuzzy inference approach-based solar track...

<span style="color:#0000ff;"><strong>A BINARY BAT INSPIRED ALGORITHM FOR THE CLASSIFICATION OF BREAST CANCER DATA </strong></span> <p style="text-align:center;"><span style="color:#ff0000;"><strong>Doreswamy and Umme Salma M</strong></span> <span style="color:#ff0000;"><strong>Mangalore University, Mangalagangothri, Mangalore,India, </strong></span></p> <p style="text-align:justify;"><span style="color:#800000;"><strong>ABSTRACT</strong></span></p> <p style="text-align:justify;">Advancement in information and technology has made a major impact on medical science where the researchers come up with new ideas for improving the classification rate of various diseases. Breast cancer is one such disease killing large number of people around the world. Diagnosing the disease at its earliest instance ...

4 th International Conference on Artificial Intelligence and Soft Computing (AIS 2018) http://csit2018.org/Ais/index.html Submission Deadline  :  March 25, 2018

International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) ISSN : 2319 - 1015 [Online]; 2319 - 4081 [Print]. http://airccse.org/journal/ijscai/index.html Call for papers International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing. The Journal looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that...