Acácio Manuel Raposo Amaral Editor at IgMin Research
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Biography
Acácio M. R. Amaral received the E. E. diploma, the M. S. degree and the Ph. D degree from Coimbra’s University, Portugal in 1998, 2005 and 2010, respectively.
Since 1998 has been with Coimbra’s Polytechnic, where is currently an Associate Professor in the Department of Informatics and Systems.
He is the author of five books entitled Circuit and Electronic Devices Analysis (Porto, Portugal, Publindustria, 2013 - in Portuguese), Digital Systems (Lisboa, Portugal, Edições Sílabo, 2014 - in Portuguese), Analog Electronics (Lisboa, Portugal, Edições Sílabo, 2017 - in Portuguese), Digital Electronics (Lisboa, Portugal, Edições Sílabo, 2019 - in Portuguese) and Applied Electronics (Lisboa, Portugal, Edições Sílabo, 2021 - in Portuguese).
He is the author of more than 50 papers published in technical journals and conference proceedings and co-author of a book entitled Diagnosis and Fault Tolerance of Electrical Machines, Power Electronics and Drives, (Stevenage, United Kingdom, Institution of Engineering and Technology, 2018 - in English).
His research activities include fault diagnosis, design and simulation of Power Converters, with emphasis on the consequences of aging of storage devices such as capacitors, super capacitors and batteries, as well as, the development of solutions to this problem.
Research Interest
Fault diagnosis, DC-DC Converters, Capacitors, Super capacitors, Batteries, Circuit Simulation and Machine Learning
Editor
Work Details
Professor
Polytechnic Institute of Coimbra
Department of Informatics and Systems
Portugal
Contribution by Topic Area
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Research Articles
- Screening for Sexually Transmitted Infections in Adolescents with Genitourinary Complaints: Is There a Still Role for Endocervical Gram Stains?
- Assessing Bee (Hymenoptera, Apoidea, Anthophila) Diversity and Floral Preference in Two Habitats in the Iberian Peninsula
- EB Naevi-like Lesion in Infant Bullous Pemphigoid
- Technical & Economic Feasibility Study of Proposed Pump Storage Power Plants at Kuda Oya, Mul Oya, Gurugal Oya, and Dambagasthalawa
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
- Analytical Expressions of the Markov Chain of K-Ras4B Protein within the Catalytic Environment and a New Markov-State Model
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