Browsing by Author "Fernandez, Luis"

Now showing 1 - 3 of 3

Citation Count: 1
Lessons From Intensive Educational Experiences for Ict Students in Multinational Settings
(Univ Osijek, Tech Fac, 2017) Fernandez, Luis; Mısra, Sanjay; Amelio Medina, Jose; Villalba de Benito, Maria Teresa; Misra, Sanjay; Computer Engineering
Real internationalization of education is the current challenge for students, teachers and universities in Europe after assuming the implementation of the EHEA (European Higher Education Area). The Erasmus programme has been playing a key role in exposing stakeholders to European internationalization. Although the large global figures of the programme are frequently analyzed, it is important to study the effects of the participation in exchange programs on students and teachers. Erasmus Intensive programs enable a closer look at the daily experience of students. In this article, we analyse the effects of intensive international programs on participants' perceptions and attitudes referred to international and multicultural working environments. Data for the analysis were collected through several experiences where ICT students were involved in intensive multinational programs. Results from 125 students using pre- and post-experience questionnaires show interesting benefits of participating in intensive experiences before starting longer or more challenging activities: they feel more motivated to be engaged in semester long staying or professional work abroad, less worries about how to work in multicultural settings, increment in self-confidence, etc.
Citation Count: 26
Neural Network and Classification Approach in Identifying Customer Behavior in the Banking Sector: a Case Study of an International Bank
(Wiley, 2015) Ogwueleka, Francisca Nonyelum; Mısra, Sanjay; Misra, Sanjay; Colomo-Palacios, Ricardo; Fernandez, Luis; Computer Engineering
The customer relationship focus for banks is in development of main competencies and strategies of building strong profitable customer relationships through considering and managing the customer impression, influence on the culture of the bank, satisfactory treatment, and assessment of valued relationship building. Artificial neural networks (ANNs) are used after data segmentation and classification, where the designed model register records into two class sets, that is, the training and testing sets. ANN predicts new customer behavior from previously observed customer behavior after executing the process of learning from existing data. This article proposes an ANN model, which is developed using a six-step procedure. The back-propagation algorithm is used to train the ANN by adjusting its weights to minimize the difference between the current ANN output and the desired output. An evaluation process is conducted to determine whether the ANN has learned how to perform. The training process is halted periodically, and its performance is tested until an acceptable result is obtained. The principles underlying detection software are grounded in classical statistical decision theory.
Citation Count: 8
A Simplified Model for Software Inspection
(Wiley, 2014) Misra, Sanjay; Mısra, Sanjay; Fernandez, Luis; Colomo-Palacios, Ricardo; Computer Engineering
Software inspection is considered a cost-effective quality assurance technique in software process improvement. Although inspections detect the majority of defects in the early stages of the development process, this technique is not a common practice in the software industry, especially in small and medium enterprises. In this paper, we propose a model for the inspection process intended to be applicable and acceptable to both small and medium enterprises and large software organisations. The model was implemented in two organisations: one in a medium-scale company and the other one in a department of a big company where its feasibility and benefits were confirmed. A comparison with recent alternative inspection models has also been performed showing the practicality of the proposal and ease of adoption and cost-effectiveness. Copyright (c) 2014 John Wiley & Sons, Ltd.