9 October 2024
Electronics | Highly Cited Papers in 2023 in the Section “Electronic Multimedia”
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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: .
The Section “Electronic Multimedia” of Electronics (ISSN: 2079-9292) reports on electronic multimedia technology, tools, and applications of electronic multimedia, including but not limited to circuits, networking, signal processing, systems, software, and systems integration.
As they are published in the open access format, you have free and unlimited access to all of the articles published in our journal. We invite you to read our most highly cited papers published in 2023 below:
“BiomacVR: A Virtual Reality-Based System for Precise Human Posture and Motion Analysis in Rehabilitation Exercises Using Depth Sensors”
by Rytis Maskeliūnas, Robertas Damaševičius, Tomas Blažauskas, Cenker Canbulut, Aušra Adomavičienė and Julius Griškevičius
Electronics 2023, 12(2), 339; https://doi.org/10.3390/electronics12020339
Full text available online: https://www.mdpi.com/2079-9292/12/2/339
“The Breaking News Effect and Its Impact on the Credibility and Trust in Information Posted on Social Media”
by Corina Pelau, Mihai-Ionut Pop, Mihaela Stanescu and Grigorie Sanda
Electronics 2023, 12(2), 423; https://doi.org/10.3390/electronics12020423
Full text available online: https://www.mdpi.com/2079-9292/12/2/423
“Students’ Perception of Metaverses for Online Learning in Higher Education: Hype or Hope?”
by Elisa Rojas, Xenia Hülsmann, Rosa Estriegana, Frank Rückert and Soraya Garcia-Esteban
Electronics 2023, 12(8), 1867; https://doi.org/10.3390/electronics12081867
Full text available online: https://www.mdpi.com/2079-9292/12/8/1867
“A Review and Comparative Study of Explainable Deep Learning Models Applied on Action Recognition in Real Time”
by Sidi Ahmed Mahmoudi, Otmane Amel, Sédrick Stassin, Margot Liagre, Mohamed Benkedadra and Matei Mancas
Electronics 2023, 12(9), 2027; https://doi.org/10.3390/electronics12092027
Full text available online: https://www.mdpi.com/2079-9292/12/9/2027
“Summarization of Videos with the Signature Transform”
by J. de Curtò, I. de Zarzà, Gemma Roig and Carlos T. Calafate
Electronics 2023, 12(7), 1735; https://doi.org/10.3390/electronics12071735
Full text available online: https://www.mdpi.com/2079-9292/12/7/1735
“Managing Digital Transformation: A Case Study in a Higher Education Institution”
by Vicente Díaz-Garcia, Antonio Montero-Navarro, José-Luis Rodríguez-Sánchez and Rocío Gallego-Losada
Electronics 2023, 12(11), 2522; https://doi.org/10.3390/electronics12112522
Full text available online: https://www.mdpi.com/2079-9292/12/11/2522
“An Efficient Approach to Face Emotion Recognition with Convolutional Neural Networks”
by Christian Białek, Andrzej Matiolański and Michał Grega
Electronics 2023, 12(12), 2707; https://doi.org/10.3390/electronics12122707
Full text available online: https://www.mdpi.com/2079-9292/12/12/2707
“Online Education Management: A Multivariate Analysis of Students’ Perspectives and Challenges during Online Classes”
by Silvia Puiu, Samuel O. Idowu, Georgeta-Madalina Meghisan-Toma, Roxana Maria Bădîrcea, Nicoleta Mihaela Doran and Alina Georgiana Manta
Electronics 2023, 12(2), 454; https://doi.org/10.3390/electronics12020454
Full text available online: https://www.mdpi.com/2079-9292/12/2/454