Announcements

1. “Comprehensive Data Augmentation Approach Using WGAN-GP and UMAP for Enhancing Alzheimer’s Disease Diagnosis”
by Emi Yuda, Tomoki Ando, Itaru Kaneko, Yutaka Yoshida and Daisuke Hirahara
Electronics 2024, 13(18), 3671; https://doi.org/10.3390/electronics13183671
Available online: https://www.mdpi.com/2079-9292/13/18/3671

2. “A Novel Wind Power Prediction Model That Considers Multi-Scale Variable Relationships and Temporal Dependencies”
by Zhanyang Xu, Hong Zhao, Chengxi Xu, Hongyan Shi, Jian Xu and Zhe Wang
Electronics 2024, 13(18), 3710; https://doi.org/10.3390/electronics13183710
Available online: https://www.mdpi.com/2079-9292/13/18/3710

3. “Geometry of Textual Data Augmentation: Insights from Large Language Models”
by Sherry J. H. Feng, Edmund M-K. Lai and Weihua Li
Electronics 2024, 13(18), 3781; https://doi.org/10.3390/electronics13183781
Available online: https://www.mdpi.com/2079-9292/13/18/3781

4. “Energy Efficiency Evaluation of Artificial Intelligence Algorithms”
by Kalin Penev, Alexander Gegov, Olufemi Isiaq and Raheleh Jafari
Electronics 2024, 13(19), 3836; https://doi.org/10.3390/electronics13193836
Available online: https://www.mdpi.com/2079-9292/13/19/3836

5. “Natural Language Inference with Transformer Ensembles and Explainability Techniques”
by Isidoros Perikos and Spyro Souli
Electronics 2024, 13(19), 3876; https://doi.org/10.3390/electronics13193876
Available online: https://www.mdpi.com/2079-9292/13/19/3876

6. “Evolving Transparent Credit Risk Models: A Symbolic Regression Approach Using Genetic Programming”
by Dionisios N. Sotiropoulos, Gregory Koronakos and Spyridon V. Solanakis
Electronics 2024, 13(21), 4324; https://doi.org/10.3390/electronics13214324
Available online: https://www.mdpi.com/2079-9292/13/21/4324

7. “Analysis of Molding Defection in IC Packaging and Testing Process”
by Bao Rong Chang, Hsiu-Fen Tsai and Chen-Chia Chen
Electronics 2024, 13(22), 4356; https://doi.org/10.3390/electronics13224356
Available online: https://www.mdpi.com/2079-9292/13/22/4356

8. “Embedding Hierarchical Tree Structure of Concepts in Knowledge Graph Embedding”
by Jibin Yu, Chunhong Zhang, Zheng Hu and Yang Ji
Electronics 2024, 13(22), 4486; https://doi.org/10.3390/electronics13224486
Available online: https://www.mdpi.com/2079-9292/13/22/4486

9. “End-to-End Deployment of Winograd-Based DNNs on Edge GPU”
by Pierpaolo Mori, Mohammad Shanur Rahman, Lukas Frickenstein, Shambhavi Balamuthu Sampath, Moritz Thoma, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele and Claudio Passerone
Electronics 2024, 13(22), 4538; https://doi.org/10.3390/electronics13224538
Available online: https://www.mdpi.com/2079-9292/13/22/4538

10. “ATGT3D: Animatable Texture Generation and Tracking for 3D Avatars”
by Fei Chen and Jaeho Choi
Electronics 2024, 13(22), 4562; https://doi.org/10.3390/electronics13224562
Available online: https://www.mdpi.com/2079-9292/13/22/4562

11. “Design of a Cyber-Physical System-of-Systems Architecture for Elderly Care at Home”
by José Galeas, Alberto Tudela, Óscar Pons, Juan Pedro Bandera and Antonio Bandera
Electronics 2024, 13(23), 4583; https://doi.org/10.3390/electronics13234583
Available online: https://www.mdpi.com/2079-9292/13/23/4583

12. “Adaptive Control of Retrieval-Augmented Generation for Large Language Models Through Reflective Tags”
by Chengyuan Yao and Satoshi Fujita
Electronics 2024, 13(23), 4643; https://doi.org/10.3390/electronics13234643
Available online: https://www.mdpi.com/2079-9292/13/23/4643

13. “Machine-Learning-Based Validation of Microsoft Azure Kinect in Measuring Gait Profiles”
by Claudia Ferraris, Gianluca Amprimo, Serena Cerfoglio, Giulia Masi, Luca Vismara and Veronica Cimolin
Electronics 2024, 13(23), 4739; https://doi.org/10.3390/electronics13234739
Available online: https://www.mdpi.com/2079-9292/13/23/4739

MDPI is excited to collaborate with Toronto Metropolitan University to host an engaging Scientific Publishing Workshop aimed at empowering scholars with the knowledge and tools needed to succeed in academic publishing. This workshop will delve into the key aspects of MDPI’s open access publishing framework, offering an in-depth exploration of journal selection, the editorial workflow, and the essentials of publication ethics. Participants will also gain practical advice on improving their scientific writing and effectively addressing reviewer comments, with guidance from an experienced professional. This session promises to equip attendees with valuable skills to elevate their publishing journey.

Workshop Highlights:

• Learn How to Better Write and Structure a Research Article;
• How to Choose Where to Publish Academic Work;
• How to Respond to Reviewer Comments;
• Reasons for Rejection During Pre-Check;
• How to Navigate Through Ethics and AI Use.

Date: 15 May 2025
Time: 12:00–1:30 p.m.
Venue: Toronto Metropolitan University

Program:

The Academic Publishing Exchange, held last Thursday at the Newcastle Australia Institute of Higher Education, was an intensive, full-day session that brought together 24 attendees, including lecturers, professors, Ph.D. candidates, and master’s students. The event offered a dynamic platform for knowledge sharing and professional growth, with early-career and experienced scholars joining forces to learn about the ins and outs of academic publishing.

The day kicked off with “Reasons for Rejection at Pre-Checks”, presented by Dr. Nicholas Cho, Associate Editor for the International Journal of Molecular Sciences (IJMS, ISSN: 1422-0067). Drawing from real-world experience, Dr. Cho outlined common causes of early manuscript rejection—such as incomplete submissions, formatting issues, ethical concerns, and mismatches between manuscript focus and journal scope. His practical tips gave attendees a clearer understanding of what editors look for in the initial screening process.

Next, Dr. Wei Thye Lee tackled “How to Respond to Peer Reviewers”. The session was split into two parts. In the first, Dr. Lee discussed how to craft respectful and professional responses to reviewer comments, emphasizing clarity and constructive engagement. Using real examples, he provided attendees with a roadmap to turn peer review into an opportunity to strengthen their manuscripts.

The second part, “Skill Lab: Reviewer Says, You Respond”, gave participants a hands-on challenge. Groups were tasked with crafting thoughtful replies to real reviewer comments, applying the principles discussed. This interactive activity sparked lively discussion, collaboration, and a few laughs, making it one of the day’s most engaging moments.

After a well-deserved lunch break, the session resumed with “How to Write and Structure an Academic Paper”. Dr. Lee provided a clear framework for structuring research papers—from the introduction to the conclusion—while emphasizing the importance of writing style, clarity, and coherence. During the Q&A, participants discussed the differences in writing style between social sciences and hard sciences. Social sciences focus on argumentation and analysis, while hard sciences emphasize presenting data and facts directly, offering a fascinating exchange of ideas across disciplines.

In the afternoon, participants enjoyed “Skill Lab: Catchy Yet Clear”, where they transformed dull, uninspiring titles into catchy, attention-grabbing ones. The challenge encouraged creativity and strategic thinking, helping attendees appreciate the critical role a strong title plays in academic publishing.

By the end of the day, participants walked away with practical skills, strategies, and a deeper understanding of academic publishing. The event was filled with insightful discussions, engaging activities, and valuable takeaways, equipping attendees with the knowledge and confidence needed to navigate the world of academic publishing.

We are honored to introduce the award committee for the 2024 Tu Youyou Award, composed of distinguished scientists from around the world whose research covers diverse areas of natural product chemistry, pharmacognosy, and drug discovery. Their broad expertise and pioneering contributions have significantly advanced medicinal and natural products research.

Through their collective insights, rigorous evaluation, the committee has carefully selected this year’s award recipients, recognizing exceptional achievements in the field.

We sincerely thank these distinguished scholars for their efforts and dedication to upholding the standards of the Tu Youyou Award.  Below is the list of committee members. For more information about the Tu Youyou Award, please visit https://tuyouyouprize.org/. 

Chair:

Prof. Dr. A. Douglas Kinghorn Ohio State University, USA

Prof. Dr. A. Douglas Kinghorn is a leading expert in pharmacognosy and natural products research. He is recognized for his key contributions to discovering bioactive compounds from plants, especially in anticancer, cancer chemopreventive, and substances with a sweet taste and taste-modifying agents. His prolific contributions include over 590 peer-reviewed works and book chapters and edited or co-edited 40 scientific volumes.

Prof. Angelo Fontana University of Naples “Federico II”, Italy	Angelo Fontana is a Professor of Organic Chemistry at the University of Naples “Federico II” in Italy and serves as Director of the Institute of Biomolecular Chemistry at the National Research Council (CNR). His research focuses on bioactive small molecules derived from marine eukaryotes, with a particular interest on their pharmaceutical applications in immunology and oncology. He also explores their potential as molecular tools for probing and modulating complex biological systems. Prof. Fontana is a co-founder of BioSEArch SRL and has been recognized with numerous grants and honors, including the Apivita Award from the Phytochemical Society of Europe.
Prof. Binghe Wang Georgia State University, USA	Prof. Binghe Wang’s lab works on drug design, drug delivery, click chemistry, chemical biology, new diagnostics, and gaseous signaling molecules such as carbon monoxide and hydrogen sulfide. His interdisciplinary research supports advances in cancer, infectious diseases, organ protection, inflammation, and other areas.
Dr. Diana Pinto University of Aveiro, Portugal	Dr. Diana Pinto, an Associate Professor at the University of Aveiro, specializes in organic synthesis of bioactive heterocyclic compounds, sustainable catalysis (organo-, heterogeneous, and biocatalysis), and natural product research, including isolation, characterization, and total synthesis.
Prof. Hideaki Kakeya Kyoto University, Japan	Prof. Hideaki Kakeya conducts cutting-edge research in chemical biology, high-throughput screening, and biosynthesis of bioactive natural products for system chemotherapy and other therapeutic applications.
Dr. RuAngelie Edrada-Ebel University of Strathclyde, UK	Prof. RuAngelie Edrada-Ebel heads the Natural Products Metabolomics Group (NPMG), specializing in marine natural products discovery and metabolomics-driven drug development. A recognized expert in bioactive metabolites, she collaborates with industry and academia to address antimicrobial resistance and sustainable bioprospecting. She serves on the Editorial Board of Marine Drugs and holds two patents in the field.
Prof. Thomas Prisinzano University of Kentucky, USA	Prof. Thomas Prisinzano combines medicinal and natural product chemistry to explore neurotransmitter systems and develop treatments for drug abuse and pain. He has received several prestigious awards, including the Innovator Award from the College on Problems of Drug Dependence.
Prof. Wei Li University of Tennessee Health Science Center, USA	A distinguished professor and Director of the Drug Discovery Center, Prof. Wei Li is also the founder of SEAK Therapeutics, and the 2025 Chair-Elect of the Drug Discovery and Development Division of the American Society of Pharmacology and Experimental Therapeutics (ASPET). His work focuses on medicinal chemistry and small molecule drug discovery, with over 200 publications and 15 issued US patents.

We are pleased to announce that the 2024 Tu Youyou Award has been conferred upon Richard DiMarchi and Rolf Müller, in recognition of their significant contributions to natural products chemistry and medicinal chemistry.

Richard DiMarchi Indiana University, USA	Prof. Richard DiMarchi is a Distinguished Professor of Chemistry and Gill Chair in Biomolecular Sciences at Indiana University, USA. He is a member of the National Academy of Medicine and the National Inventors Hall of Fame. Dr. DiMarchi is a former Group Vice President at Eli Lilly and later at Novo Nordisk. He is recognized for his contributions to the discovery and development of rDNA-derived Humulin®, Humalog®, rGlucagon®, and Forteo®. His academic research has broadened the understanding of glucagon and incretin physiology and pioneered the discovery of single-molecule multi-mechanism agonists for the treatment of diabetes and obesity. The central element to success has been the chemical vision and technology to install within single molecules simultaneous agonism at related G-protein coupled receptors, coupled to the counter-intuitive discovery that glucagon and GIP agonism could synergize the therapeutic efficacy of GLP-1. These peptides and their conceptual approach have transformed the management of excessive body weight to a condition comparable to how hypertension, adult-onset diabetes, and excess cholesterol are medicinally managed.
“Professor DiMarchi was recognized by the 2024 Tu Youyou Award Committee members as being an exceptional leader in the medicinal chemistry of peptides and proteins of natural origin, and as a pioneer in the field of chemical biotechnology. His very important discoveries have led to breakthroughs in new drugs related to the therapy of diabetes and obesity. He has been named as an inventor on a very large number of patents, and he has had initially a highly successful scientific and administrative career in industry, which was followed by over two decades in academia as a distinguished professor.” —Prof. Dr. A. Douglas Kinghorn, Chair of the Award Committee
Rolf Müller Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Germany; Helmholtz Centre for Infections Research (HZI), Germany; Saarland University, Germany	Prof. Rolf Müller is the Founding and Managing Director of the Helmholtz Institute for Pharmaceutical Research Saarland (HIPS) and Professor of Pharmaceutical Biotechnology at Saarland University, Germany. Having received his training from the University of Bonn, he held research positions at the University of Washington, USA, and Braunschweig University of Technology, Germany, prior to his appointment as professor to Saarland University. His laboratory has dedicated itself to the exploration of bacterial natural-product biosynthetic pathways for more than 20 years and has extensive experience in working with myxobacteria and other microbial producer strains. Starting from the isolation and characterization of new microorganisms, the scope of work includes microbiology-, biotechnology-, bioinformatics-, and chemistry-based approaches to exploit these isolates as sources of new drugs with a special focus on novel anti-infectives. Müller and his team apply a variety of state-of-the-art analytical methods and biological assays to perform biological and chemical characterizations of the identified compounds. Prof. Müller has received several awards, including the prestigious Gottfried Wilhelm Leibniz Prize, the PHOENIX Pharmacy Research Award, the DECHEMA Prize, and the Inhoffen Medal, as well as being an elected member of acatech, Leopoldina, and the German Academy of Sciences and Literature.
“The 2024 Tu Youyou Award Committee members were highly impressed by the truly outstanding past and ongoing contributions of Professor Müller in both microbial natural products isolation chemistry and in biosynthesis, as well as in the development of lead compounds for their potential in treating human diseases, through his global connections with various major funding agencies. He is also a dedicated teacher who has trained numerous graduate students and postdoctoral fellows, and he has lectured on his research in countries all over the world.” —Prof. Dr. A. Douglas Kinghorn, Chair of the Award Committee

The achievements of Richard DiMarchi and Rolf Müller highlight the transformative impact of natural products chemistry and medicinal chemistry. We congratulate them and invite the global academic community and public to join us in celebrating their significant contributions.

2024 Award Committee
Committee Chair:

• Prof. Dr. A. Douglas Kinghorn, Ohio State University, USA.
  

Committee Members (listed in alphabetical order):

• Prof. Angelo Fontana, University of Naples “Federico II”, Italy;
• Prof. Binghe Wang, Georgia State University, USA;
• Dr. Diana Pinto, University of Aveiro, Portugal;
• Prof. Hideaki Kakeya, Kyoto University, Japan;
• Dr. RuAngelie Edrada-Ebel, University of Strathclyde, UK;
• Prof. Thomas Prisinzano, University of Kentucky, USA
• Prof. Wei Li, University of Tennessee Health Science Center, USA.

About the Tu Youyou Award:
The 2024 Tu Youyou Award includes a total monetary prize of 100,000 Swiss Francs and a medal for each recipient. Established in 2016 to honor the pioneering spirit of Nobel laureate Tu Youyou, the Tu Youyou Award is an international award honoring exceptional scholars dedicated to the fields of natural products chemistry and medicinal chemistry.

For further information about the award and the winners, please visit the Tu Youyou Award website.

We congratulate Dr. Jesús Ruiz-Santaquiteria Alegre for winning the Electronics 2024 Best Ph.D. Thesis Award with his publication, “Improving the Effectiveness of Automatic Threat Recognition Methods in Video Surveillance Systems”.

Name: Dr. Jesús Ruiz-Santaquiteria Alegre
Affiliation: VISILAB-ETSII, University of Castilla-La Mancha, C/ Altagracia, 50, 13071 Ciudad Real, Spain
Research interests: computer vision; deep learning; artificial intelligence

The following is an interview with Dr. Jesús Ruiz-Santaquiteria Alegre:

1. Can you please briefly introduce the scientific research you conducted during your doctoral study?
My doctoral research was focused on the development of deep learning-based methods for threat recognition in video surveillance systems. In particular, I worked on the automatic detection of weapons in video sequences, which is a critical task for ensuring the safety and security of monitored areas. Several architectures and methods were proposed to improve the performance of existing object detection systems, addressing limitations such as undetected weapons or incorrect detections. Additionally, I explored the complementary task of human action recognition in surveillance videos, which is essential for a comprehensive surveillance system.

2. Did you encounter any difficulties in carrying out this research? How did you overcome them?
During my research, I encountered several challenges, including the need for large, annotated datasets for training deep learning models and the complexity of real-time processing in surveillance scenarios. To overcome these challenges, I focused on data augmentation techniques to enhance the diversity of training data and explored lightweight model architectures that could achieve high accuracy while maintaining real-time performance.

3. As an author, what aspects of a journal do you value the most when choosing a journal in which to publish your academic work?
When choosing a journal to publish my academic work in, I value the journal’s reputation, the quality of the peer review process, and the visibility it offers to my research. Additionally, I consider the journal’s focus on my specific field of study and its audience, as well as the speed of publication.

4. Many doctoral students experience pressure to publish papers and worry about delaying graduation. What advice do you have for doctoral students who have not yet graduated?
I understand that many doctoral students feel pressure to publish and worry about graduation timelines. My advice is to focus on the quality of your research rather than the quantity of publications. It's important to take the time to conduct thorough research and produce high-quality work. Additionally, seek guidance from your advisors and peers, and don't hesitate to ask for help when needed.

“IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities”
by Elisha Elikem Kofi Senoo, Lia Anggraini, Jacqueline Asor Kumi, Luna Bunga Karolina, Ebenezer Akansah, Hafeez Ayo Sulyman, Israel Mendonça and Masayoshi Aritsugi
Electronics 2024, 13(10),1894; https://doi.org/10.3390/electronics13101894
Full text available online: https://www.mdpi.com/2079-9292/13/10/1894

“A Systematic Review of Synthetic Data Generation Techniques Using Generative AI”
by Mandeep Goyal and Qusay H. Mahmoud
Electronics 2024, 13(17), 3509; https://doi.org/10.3390/electronics13173509
Full text available online: https://www.mdpi.com/2079-9292/13/17/3509

“The Challenges of Machine Learning: A Critical Review”
by Enrico Barbierato and Alice Gatti
Electronics 2024, 13(2), 416; https://doi.org/10.3390/electronics13020416
Full text available online: https://www.mdpi.com/2079-9292/13/2/416

“Survey on AI Applications for Product Quality Control and Predictive Maintenance in Industry 4.0”
by Tojo Valisoa Andrianandrianina Johanesa, Lucas Equeter and Sidi Ahmed Mahmoudi
Electronics 2024, 13(5), 976; https://doi.org/10.3390/electronics13050976
Full text available online: https://www.mdpi.com/2079-9292/13/5/976

“Cardiac Healthcare Digital Twins Supported by Artificial Intelligence-Based Algorithms and Extended Reality—A Systematic Review”
by Zofia Rudnicka, Klaudia Proniewska, Mark Perkins and Agnieszka Pregowska
Electronics 2024, 13(5), 866; https://doi.org/10.3390/electronics13050866
Full text available online: https://www.mdpi.com/2079-9292/13/5/866

“Insights into Modern Intrusion Detection Strategies for Internet of Things Ecosystems”
by Bassey Isong, Otshepeng Kgote and Adnan Abu-Mahfouz
Electronics 2024, 13(12), 2370; https://doi.org/10.3390/electronics13122370
Full text available online: https://www.mdpi.com/2079-9292/13/12/2370

“Artificial Intelligence-Based Algorithms in Medical Image Scan Segmentation and Intelligent Visual Content Generation—A Concise Overview”
Zofia Rudnicka, Janusz Szczepanski and Agnieszka Pregowska
Electronics 2024, 13(4), 746; https://doi.org/10.3390/electronics13040746
Full text available online: https://www.mdpi.com/2079-9292/13/4/746

“Hierarchical Text Classification and Its Foundations: A Review of Current Research”
by Alessandro Zangari, Matteo Marcuzzo, Matteo Rizzo, Lorenzo Giudice, Andrea Albarelli and Andrea Gasparetto
Electronics 2024, 13(7), 1199; https://doi.org/10.3390/electronics13071199
Full text available online: https://www.mdpi.com/2079-9292/13/7/1199

“Deep Learning Innovations in Video Classification: A Survey on Techniques and Dataset Evaluations”
by Makara Mao, Ahyoung Lee and Min Hong
Electronics 2024, 13(14), 2732; https://doi.org/10.3390/electronics13142732
Full text available online: https://www.mdpi.com/2079-9292/13/14/2732  

“Entering the Next Dimension: A Review of 3D User Interfaces for Virtual Reality”
by Adriel Yeo, Benjamin W. J. Kwok, Angelene Joshna, Kan Chen and Jeannie S. A. Lee
Electronics 2024, 13(3), 600; https://doi.org/10.3390/electronics13030600
Full text available online: https://www.mdpi.com/2079-9292/13/3/600

We wish to congratulate Dr. Jiakang Zheng for winning the Electronics 2024 Best Ph.D. Thesis Award with his publication “Performance Analysis and Optimization Design of Cell-Free Massive MIMO Systems”.

Name: Dr. Jiakang Zheng
Affiliation: School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
Research interests: MIMO systems; performance analysis; optimization design

The following is an interview with Dr. Jiakang Zheng:

1. Could you please briefly introduce the scientific research you conducted during your doctoral studies?
During my doctoral studies, I focused on the performance analysis and optimization of cell-free massive MIMO systems, which break traditional cell boundaries, increase the number of distributed access points, and leverage macro diversity gains to reduce signal interference and improve both edge user performance and overall network throughput. Specifically, I proposed a cell-free massive MIMO network architecture that is suitable for complex environments to provide continuous and uniform coverage. I also designed reliable channel estimation and efficient transceivers to enable ultra-reliable and low-latency transmission, as well as optimizing flexible interference management and intelligent power allocation schemes to support massive connectivity.

2. Did you encounter any difficulties in carrying out this research? How did you overcome them?
Yes, when I first started working on this research, I was not very familiar with the topic, and a lot of the concepts were hard to grasp. To get up to speed, I often asked my supervisor and senior lab mates for help, and I also collaborated with experts in the field. These experiences really helped me build a solid foundation and gradually gain a deeper understanding.

3. As an author, what aspects of a journal do you value most when choosing a journal to publish your academic work?
When choosing a journal, I mainly look for ones that focus on my research area. I usually prefer journals where most of the papers I read and cite are published. That way, I know my work will be seen by researchers who are really interested in the same topics.

4. Many doctoral students experience pressure to publish papers and worry about delaying graduation. What advice do you have for doctoral students who have not yet graduated?
Doing research takes time. It does not happen all at once. I would say just keep going and do not give up, because if you stick with it, you will see results. It is normal to feel stressed sometimes, but talking to the people around you can really help. A lot of the pressure comes from overthinking and trying to figure everything out on your own. Sometimes, taking a break and focusing on something else can spark new ideas.

As all the articles published in Electronics (ISSN: 2079-9292) are open access, you have free and unlimited access to the full text of all articles. We welcome you to read our most downloaded papers in 2024 in the Section “Artificial Intelligence”, which are listed below.

1. “Intelligent Robotics—A Systematic Review of Emerging Technologies and Trends”
by Josip Tomo Licardo, Mihael Domjan and Tihomir Orehovački
Electronics 2024, 13(3), 542; https://doi.org/10.3390/electronics13030542
Available online: https://www.mdpi.com/2079-9292/13/3/542

2. “Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis”
by Constantinos Halkiopoulos and Evgenia Gkintoni
Electronics 2024, 13(18), 3762; https://doi.org/10.3390/electronics13183762
Available online: https://www.mdpi.com/2079-9292/13/18/3762

3. “A Review of Immersive Technologies, Knowledge Representation, and AI for Human-Centered Digital Experiences”
by Nikolaos Partarakis and Xenophon Zabulis
Electronics 2024, 13(2), 269; https://doi.org/10.3390/electronics13020269
Available online: https://www.mdpi.com/2079-9292/13/2/269

4. “A Contemporary Survey on Deepfake Detection: Datasets, Algorithms, and Challenges”
by Liang Yu Gong and Xue Jun Li
Electronics 2024, 13(3), 585; https://doi.org/10.3390/electronics13030585
Available online: https://www.mdpi.com/2079-9292/13/3/585

5. “Web Application for Retrieval-Augmented Generation: Implementation and Testing”
by Irina Radeva, Ivan Popchev, Lyubka Doukovska and Miroslava Dimitrova
Electronics 2024, 13(7), 1361; https://doi.org/10.3390/electronics13071361
Available online: https://www.mdpi.com/2079-9292/13/7/1361

6. “IoT-Based Intrusion Detection System Using New Hybrid Deep Learning Algorithm”
by Sami Yaras and Murat Dener
Electronics 2024, 13(6), 1053; https://doi.org/10.3390/electronics13061053
Available online: https://www.mdpi.com/2079-9292/13/6/1053

7. “Framework for Integrating Generative AI in Developing Competencies for Accounting and Audit Professionals”
by Ionuț-Florin Anica-Popa, Marinela Vrîncianu, Liana-Elena Anica-Popa, Irina-Daniela Cișmașu and Cătălin-Georgel Tudor
Electronics 2024, 13(13), 2621; https://doi.org/10.3390/electronics13132621
Available online: https://www.mdpi.com/2079-9292/13/13/2621

8. “Survey of Deep Learning Accelerators for Edge and Emerging Computing”
by Shahanur Alam, Chris Yakopcic, Qing Wu, Mark Barnell, Simon Khan and Tarek M. Taha
Electronics 2024, 13(15), 2988; https://doi.org/10.3390/electronics13152988
Available online: https://www.mdpi.com/2079-9292/13/15/2988

9. “Multi-Scale Fusion Uncrewed Aerial Vehicle Detection Based on RT-DETR”
by Minling Zhu and En Kong
Electronics 2024, 13(8), 1489; https://doi.org/10.3390/electronics13081489
Available online: https://www.mdpi.com/2079-9292/13/8/1489

10. “Combining Machine Learning and Edge Computing: Opportunities, Challenges, Platforms, Frameworks, and Use Cases”
by Piotr Grzesik and Dariusz Mrozek
Electronics 2024, 13(3), 640; https://doi.org/10.3390/electronics13030640
Available online: https://www.mdpi.com/2079-9292/13/3/640

You are invited to view and submit relevant papers to the journal Electronics.

Electronics Editorial Office