7 November 2022
Journal of Low Power Electronics and Applications | Top 10 Cited Articles in 2021
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Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
1. “A 0.3 V Rail-to-Rail Ultra-Low-Power OTA with Improved Bandwidth and Slew Rate”
by Francesco Centurelli, Riccardo Della Sala, Pietro Monsurrò, Giuseppe Scotti and Alessandro Trifiletti
J. Low Power Electron. Appl. 2021, 11(2), 19; https://doi.org/10.3390/jlpea11020019
Available online: https://www.mdpi.com/2079-9268/11/2/19
2. “Reliability-Aware Resource Management in Multi-/Many-Core Systems: A Perspective Paper”
by Siva Satyendra Sahoo, Behnaz Ranjbar and Akash Kumar
J. Low Power Electron. Appl. 2021, 11(1), 7; https://doi.org/10.3390/jlpea11010007
Available online: https://www.mdpi.com/2079-9268/11/1/7
3. “Low-Power Audio Keyword Spotting Using Tsetlin Machines”
by Jie Lei, Tousif Rahman, Rishad Shafik, Adrian Wheeldon, Alex Yakovlev, Ole-Christoffer Granmo, Fahim Kawsar and Akhil Mathur
J. Low Power Electron. Appl. 2021, 11(2), 18; https://doi.org/10.3390/jlpea11020018
Available online: https://www.mdpi.com/2079-9268/11/2/18
4. “A Review of Algorithms and Hardware Implementations for Spiking Neural Networks”
by Duy-Anh Nguyen, Xuan-Tu Tran and Francesca Iacopi
J. Low Power Electron. Appl. 2021, 11(2), 23; https://doi.org/10.3390/jlpea11020023
Available online: https://www.mdpi.com/2079-9268/11/2/23
5. “Accelerating Population Count with a Hardware Co-Processor for MicroBlaze”
by Iouliia Skliarova
J. Low Power Electron. Appl. 2021, 11(2), 20; https://doi.org/10.3390/jlpea11020020
Available online: https://www.mdpi.com/2079-9268/11/2/20
6. “A gm/ID-Based Design Strategy for IoT and Ultra-Low-Power OTAs with Fast-Settling and Large Capacitive Loads”
by Gianluca Giustolisi and Gaetano Palumbo
J. Low Power Electron. Appl. 2021, 11(2), 21; https://doi.org/10.3390/jlpea11020021
Available online: https://www.mdpi.com/2079-9268/11/2/21
7. “A Dynamic Reconfigurable Architecture for Hybrid Spiking and Convolutional FPGA-Based Neural Network Designs”
by Hasan Irmak, Federico Corradi, Paul Detterer, Nikolaos Alachiotis and Daniel Ziener
J. Low Power Electron. Appl. 2021, 11(3), 32; https://doi.org/10.3390/jlpea11030032
Available online: https://www.mdpi.com/2079-9268/11/3/32
8. “A Novel Standard-Cell-Based Implementation of the Digital OTA Suitable for Automatic Place and Route”
by Gaetano Palumbo and Giuseppe Scotti
J. Low Power Electron. Appl. 2021, 11(4), 42; https://doi.org/10.3390/jlpea11040042
Available online: https://www.mdpi.com/2079-9268/11/4/42
9. “Minimization of the Line Resistance Impact on Memdiode-Based Simulations of Multilayer Perceptron Arrays Applied to Pattern Recognition”
by Fernando Leonel Aguirre, Nicolás M. Gomez, Sebastián Matías Pazos, Félix Palumbo, Jordi Suñé and Enrique Miranda
J. Low Power Electron. Appl. 2021, 11(1), 9; https://doi.org/10.3390/jlpea11010009
Available online: https://www.mdpi.com/2079-9268/11/1/9
10. “Analog Filters Design for Improving Precision in Proton Sound Detectors”
by Elia Arturo Vallicelli and Marcello De Matteis
J. Low Power Electron. Appl. 2021, 11(1), 12; https://doi.org/10.3390/jlpea11010012
Available online: https://www.mdpi.com/2079-9268/11/1/12