Machine Learning: Data Extraction Technique Using Naïve Bayes Algorithm

ABSTRACT: Due to the complexity of data in computational processes, interpretation of pattern or extraction of information becomes difficult. Therefore, machine learning (ML) becomes useful in teaching machines how to handle data more efficiently. The learning algorithm provides predictive solution to environmental challenges. Descriptive methodology is introduced using a programmatic approach for ML illustrations. Naïve

An Improved Deoxyribo Nucleic Acid (DNA) Cryptographic Modeling Technique Based on Residue Number System

ABSTRACT: Security is imperative to maintain the confidentiality of the information. Secured information is the information that should not be known to the third party. This information is often transmitted using a public network. If the information is not secured beforehand, would be easily intercepted and the contents of the information will be known by

An End-User Programming Approach for Creating Virtual Innovation Labs

ABSTRACT: Virtual worlds implemented as online multi-user environments possess great potential in connecting teams collaborating on tasks such as brainstorming and idea generation. Brainstorming and idea generation for teams usually occur in innovation Labs, which is a physical purpose-built facility to support such sessions. Virtual online innovation labs provide more benefits such as connecting team

Enhanced Approach to Microprocessor Education

ABSTRACT: Owing to the need to continually provide Electrical Electronics (EE) and Computer Science (CS) students with practical, cognitive and transferable skills required in the industries, this work was done to  enhance the existing course content of Microprocessor   Application   course   (EEE438).  The adopted course enhancement process which covered the 2015 to 2018 academic sessions of