Search Results - "Ponniran, Asmarashid Bin"
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Minimum Flying Capacitor for N-Level Capacitor DC/DC Boost Converter
Published in IEEE transactions on industry applications (01-07-2016)“…This paper proposes a multilevel flying capacitor dc/dc boost converter (FCBC) with a small capacitance of the flying capacitor for the reduction of converter…”
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Journal Article -
2
EEG - Based Bipolar Disorder Deduction Using Machine Learning
Published in 2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI) (19-10-2023)“…This thesis provides a thorough investigation into the identification of bipolar disorder through the analysis of EEG signals utilizing various machine…”
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Conference Proceeding -
3
Post-Traumatic Stress Disorder (PTSD) Analysis using Machine Learning Techniques
Published in 2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI) (19-10-2023)“…The presence of Post-Traumatic Stress Disorder (PTSD) is a significant psychiatric condition that can manifest after experiencing a traumatic event. To ensure…”
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Conference Proceeding -
4
Parameters design evaluation in 3-level flying capacitor boost converter
Published in 2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) (01-04-2017)“…Flying capacitor boost converter (FCBC) is one of the possible power converter for high power applications such as solar systems and electric vehicles system…”
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Conference Proceeding -
5
Interleaved high boost ratio Marx topology DC-DC converter
Published in 2015 IEEE 2nd International Future Energy Electronics Conference (IFEEC) (01-11-2015)“…This paper proposes an interleaved high boost ratio three-stage Marx topology DC-DC boost converter (MTBC). In the proposed circuit, the parallel connection is…”
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Conference Proceeding -
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loT/WSN-based Security/privacy Methods for Forest Monitoring
Published in 2024 International Conference on Future Technologies for Smart Society (ICFTSS) (07-08-2024)“…This chapter illustrates a forest monitoring system solution by demonstrating a wireless sensor network solution that is based on the ZigBee communications…”
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Conference Proceeding