25 November 2022
Sensors | Top 10 Cited Papers in 2020 in the Section “Intelligent Sensors”
You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader.
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.
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. “Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture”
by Dan Popescu, Florin Stoican, Grigore Stamatescu, Loretta Ichim and Cristian Dragana
Sensors 2020, 20(3), 817; https://doi.org/10.3390/s20030817
Available online: https://www.mdpi.com/1424-8220/20/3/817
2. “Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review”
by Jamil Fayyad, Mohammad A. Jaradat, Dominique Gruyer and Homayoun Najjaran
Sensors 2020, 20(15), 4220; https://doi.org/10.3390/s20154220
Available online: https://www.mdpi.com/1424-8220/20/15/4220
3. “IoT Wearable Sensors and Devices in Elderly Care: A Literature Review”
by Thanos G. Stavropoulos, Asterios Papastergiou, Lampros Mpaltadoros, Spiros Nikolopoulos and Ioannis Kompatsiaris
Sensors 2020, 20(10), 2826; https://doi.org/10.3390/s20102826
Available online: https://www.mdpi.com/1424-8220/20/10/2826
4. “Investigating the Use of Pretrained Convolutional Neural Network on Cross-Subject and Cross-Dataset EEG Emotion Recognition”
by Yucel Cimtay and Erhan Ekmekcioglu
Sensors 2020, 20(7), 2034; https://doi.org/10.3390/s20072034
Available online: https://www.mdpi.com/1424-8220/20/7/2034
5. “LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture”
by Gaia Codeluppi, Antonio Cilfone, Luca Davoli and Gianluigi Ferrari
Sensors 2020, 20(7), 2028; https://doi.org/10.3390/s20072028
Available online: https://www.mdpi.com/1424-8220/20/7/2028
6. “Hand Gesture Recognition Using Compact CNN via Surface Electromyography Signals”
by Lin Chen, Jianting Fu, Yuheng Wu, Haochen Li and Bin Zheng
Sensors 2020, 20(3), 672; https://doi.org/10.3390/s20030672
Available online: https://www.mdpi.com/1424-8220/20/3/672
7. “An Intelligent Non-Invasive Real-Time Human Activity Recognition System for Next-Generation Healthcare”
by William Taylor, Syed Aziz Shah, Kia Dashtipour, Adnan Zahid, Qammer H. Abbasi and Muhammad Ali Imran
Sensors 2020, 20(9), 2653; https://doi.org/10.3390/s20092653
Available online: https://www.mdpi.com/1424-8220/20/9/2653
8. “UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture”
by Vittorio Mazzia, Lorenzo Comba, Aleem Khaliq, Marcello Chiaberge, and Paolo Gay
Sensors 2020, 20(9), 2530; https://doi.org/10.3390/s20092530
Available online: https://www.mdpi.com/1424-8220/20/9/2530
9. “Technologies Trend towards 5G Network for Smart Health-Care Using IoT: A Review”
by Abdul Ahad, Mohammad Tahir, Muhammad Aman Sheikh, Kazi Istiaque Ahmed, Amna Mughees and Abdullah Numani
Sensors 2020, 20(14), 4047; https://doi.org/10.3390/s20144047
Available online: https://www.mdpi.com/1424-8220/20/14/4047
10. “EEG-Based BCI Emotion Recognition: A Survey”
by Edgar P. Torres, Edgar A. Torres, Myriam Hernández-Álvarez and Sang Guun Yoo
Sensors 2020, 20(5), 1271; https://doi.org/10.3390/s20051271
Available online: https://www.mdpi.com/1424-8220/20/18/5083