Electrical and Computer Engineering Publications

 

Research in Electrical and Computer Engineering Publications falls into eight broad and interlaced areas. These research areas are applied electrostatics and electromagnetics, biomedical systems, computer-assisted medical interventions, communication systems and data networking, microsystems and digital signal processing, power systems engineering, robotics and control and software engineering.

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Submissions from 2021

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A Systematic Review of Convolutional Neural Network-Based Structural Condition Assessment Techniques, Sandeep Sony, Kyle Dunphy, Ayan Sadhu, and Miriam A M Capretz

Submissions from 2020

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A Blockchain Approach to Social Responsibility, Augusto Bedin, Wander Queiroz, Miriam A M Capretz, and London Hydro

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What Malaysian Software Students Think about Testing?, Luiz Fernando Capretz, Shuib Basri, Maythem Adili, and Aamir Amin

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Noisy Importance Sampling Actor-Critic: An Off-Policy Actor-Critic With Experience Replay, Miriam A M Capretz and Norman Tasfi

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Predicting Residential Energy Consumption Using Wavelet Decomposition With Deep Neural Network, Dagimawi Eneyew, Miriam A M Capretz, Girma Bitsuamlak, and London Hydro

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Deep learning for load forecasting with smart meter data: Online Adaptive Recurrent Neural Network, Mohammad Navid Fekri, Harsh Patel, Katarina Grolinger, and Vinay Sharma

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Edge-Cloud Computing for IoT Data Analytics: Embedding Intelligence in the Edge with Deep Learning, Ananda Mohon M. Ghosh and Katarina Grolinger

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Deep neural network for load forecasting centred on architecture evolution, Santiago Gomez-Rosero, Miriam A M Capretz, and London Hydro

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The Unpopularity of the Software Tester Role among Software Practitioners: A Case Study, Yadira Lizama, Daniel Varona, Pradeep Waychal, and Luiz Fernando Capretz

Submissions from 2019

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ML4IoT: A Framework to Orchestrate Machine Learning Workflows on Internet of Things Data, Jose Miguel Alves, Leonardo Honorio, and Miriam A M Capretz

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Comparing the Popularity of Testing Career among Canadian, Chinese, and Indian Students, Luiz Fernando Capretz, Pradeep Waychal, and Jingdong Jia

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Studies on the Software Testing Profession, Luiz Fernando Capretz, Pradeep Waychal, Jingdong Jia, Daniel Varona, and Yadira Tejeda Saldaña

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Generating Energy Data for Machine Learning with Recurrent Generative Adversarial Networks, Mohammad Navid Fekri, Ananda M. Ghosh, and Katarina Grolinger

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Deep Learning: Edge-Cloud Data Analytics for IoT, Katarina Grolinger and Ananda M. Ghosh

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Neural Network Models for Stock Selection Based on Fundamental Analysis, Yuxuan Huang, Luiz Fernando Capretz, and Danny Ho

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Can we rely on smartphone applications?, Sonia Meskini, Ali Bou Nassif, and Luiz Fernando Capretz

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Automatic Recall of Software Lessons Learned for Software Project Managers, Tamer Mohamed Abdellatif Mohamed, Luiz Fernando Capretz, and Danny Ho

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An Empirical Study of User Support Tools in Open Source Software, Arif Raza, Luiz Fernando Capretz, and Shuib Basri

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Design and Job Rotation in Software Engineering: Results from an Industrial Study, Ronnie Santos, Maria Teresa Baldassarre, Fabio Q. B. Silva Dr., Cleyton Magalhaes, Luiz Fernando Capretz, and Jorge Correia-Neto

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Forecasting Building Energy Consumption with Deep Learning: A Sequence to Sequence Approach, Ljubisa Sehovac, Cornelius Nesen, and Katarina Grolinger

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Similarity-Based Chained Transfer Learning for Energy Forecasting with Big Data, Yifang Tian, Ljubisa Sehovac, and Katarina Grolinger

Submissions from 2018

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A Consumer Perspective on Digital Games, Saiqa Alemm, Luiz Fernando Capretz, and Faheem Ahmed

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HPC for Predictive Models in Healthcare, Luiz Fernando Capretz

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A Call to Promote Soft Skills in Software Engineering, Luiz Fernando Capretz and Fahem Ahmed

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Analysing Popularity of Software Testing Careers in Canada, Luiz Fernando Capretz, Pradeep Waychal, and Sachin Pardeshi