Extensive research has been performed to develop appropriate machine learning techniques for different data mining problems. However, previous work has shown that no learner is generally better than another learner. Comparing machine learning methods depends very much on the characteristics of a particular data set and the requirements of the respective business domain. Direct marketing is an i...

In this paper we present our work on the usage of lexical resources for the Machine Translation English and Malayalam. We describe a comparative performance between different Statistical Machine Translation (SMT) systems on top of phrase based SMT system as baseline. We explore different ways of utilizing lexical resources to improve the quality of English Malayalam statistical machine translat...

Despite extensive theoretical work on process-calculi, virtual machine specifications and implementations of actual computational models are still scarce. This paper presents a virtual machine for a strongly typed, polymorphic, concurrent, object-oriented programming language based on the TyCO process calculus. The system runs byte-code files, assembled from an intermediate assembly language re...

Several papers have recently contained reports on applying machine learning (ML) to the automation of software engineering (SE) tasks, such as project management, modeling and development. However, there appear to be no approaches comparing how software engineers fare against machine-learning algorithms as applied to specific software development tasks. Such a comparison is essential to gain in...

Performance testing is a very important aspect of software development, aiming to ensure that applications meet the desired performance standards under various load conditions. Traditional approaches often face limitations and challenges in accurately identifying bottlenecks. This research investigates idea enhancing by utilizing machine learning techniques order go above these limits. paper gi...

This paper examines the relations between self-reported attachment orientation at work and personality, self-esteem, trait emotional intelligence (aka emotional self-efficacy), and independently assessed career potential and job performance. Self-report data were collected from 211 managers in an international business in the hospitality industry; independent assessments of these managers' job ...

Laboratory activities are very important in engineering education. Performance assessment of students’ laboratory work is time consuming and an ongoing challenge for teachers. Laboratory work performance assessment is traditionally done by the teacher grading students’ written report of the laboratory activity, despite the fact that the report is often 'doctored'. Assessment of laboratory work ...