Applied System Innovation MDPI

👉 Welcome to read our paper published "Making Tax Smart: Feasibility of Distributed Ledger Technology for Building Tax Compliance Functionality to Central Bank Digital Currency" by Panos Louvieris, Georgios Ioannou and Gareth White.

🏨 Department of Computer Science, Brunel University of London, UK

💡 The results presented herein confirm that it is feasible to build an MTS capability which is scalable and co-exists with the current payment systems. Smart Money CBDC has the potential to mobilise payments data, transforming the role of money from a blunt instrument to a government policy sensor and actuator without disrupting the existing money system. DLT, smart contracts, and programmable money have a crucial role to play with benefits for government departments, the economy, and society as a whole.

🔗Read more: https://brnw.ch/21x2LYn

👉 Welcome to read our paper published "Investigation of the Features Influencing the Accuracy of Wind Turbine Power Calculation at Short-Term Intervals" by Pavel V. Matrenin, Dmitry A. Harlashkin, Marina V. Mazunina and Alexandra I. Khalyasmaa.

🔗 https://brnw.ch/21x2LYe
🏨 Ural Power Engineering Institute, Russia

💡This study presents an investigation of the features influencing the accuracy of calculations of wind turbine power at short-term intervals.

👉 Welcome to read our paper published "Enhancing Industrial Valve Diagnostics: Comparison of Two Preprocessing Methods on the Performance of a Stiction Detection Method Using an Artificial Neural Network" by Bhagya Rajesh Navada, Vemulapalli Sravani and Santhosh Krishnan Venkata.

🔗 https://brnw.ch/21x2LXC

🏨 Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Inida and Department of Electronics and Communication, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education India

MDPI is proud to announce its participation as a Bronze Sponsor of the Convegno delle Stelline 2026, which will be held from 26-27 May 2026 in Milan, Italy.

Italy's premier conference for the library and information sector, this year's event will include sessions on AI Safeguards and Ethics, Smart Library Innovation and Sustainability, as well as a featured MDPI workshop titled "AI and Integrity in Academic Research – An Editorial Perspective".

Under the theme of “The Intelligent Library: Between People, Content, and Technologies”, the conference will serve as a platform for library and information professionals to discuss the intersection of humanity, technology, and scholarly communication.

Find out more about this event: https://brnw.ch/21x2LWn

For 30 years, MDPI has been at the forefront of open access publishing.

In this conversation, CEO Stefan Tochev reflects on how MDPI has spent the past five years further expanding its global community, strengthening its standards, and pushing open access further than ever before.

Learn more: https://brnw.ch/21x2LRV

We're delighted to share highlights from the April 2026 edition of MDPI Insights: The CEO’s Letter - Stefan Tochev reflects on international expansion, community engagement, conferences, and continued discussions around the future of scholarly publishing.

Key highlights include:

MDPI Opens First US Office (Philadelphia):
A milestone in our global expansion, building on our engagement with the US research community.

Coatings 2026 Conference (Athens, 20–22 April):
140+ participants from 25 countries, focusing on sustainability, innovation, and real-world impact in materials science.

Media Coverage & Partnerships:
Visibility across international platforms, including key agreements with Sikt (Norway) and Jisc (UK), and features in leading industry outlets such as InPublishing.

MDPI Poland 2026 Summit (Krakow, 23 April):
Engaging discussions with editors and researchers on research integrity, AI, and the future of publishing.

MDPI Serbia Salon (Belgrade, 22 April):
Marking 10 years of MDPI in Serbia, with strong support from the local research community and continued growth in collaboration.

Read the full April 2026 CEO Letter here: https://brnw.ch/21x2zFC...

👉 Welcome to read our paper published "Improving Workplace Safety and Health Through a Rapid Ergonomic Risk Assessment Methodology Enhanced by an Artificial Intelligence System" by Adrian Ispășoiu, Ioan Milosan and Camelia Gabort.

💡The proposed RERA ergonomic risk assessment methodology proved to be useful, with a high degree of precision and coverage in many fields of activity, but in particular, it proved to be effective in providing a proper diagnosis of the assessed situation using artificial intelligence, a fact that contributes to easier appropriate identification of measures to improve and remedy ergonomic risks. Read more ⬇️

🔗 https://brnw.ch/21x2cXJ

🏨 Transilvania University of Brasov, Romania

👉 Welcome to read our paper published "Low-Complexity SAOR and Conjugate Gradient Accelerated SAOR Based Signal Detectors for Massive MIMO Systems" by Lunchakorn Wuttisittikulkij et al.

💡In this paper, authors have addressed the computational challenges involved in signal detection for massive MIMO systems. Read more:⬇️

🔗 https://brnw.ch/21x2cTq

🏨 College of Electrical Engineering, Thailand, King Mongkut University of Technology, Thailand, Guandgong University of Petrochemical Technology, China and King Mongkut’s University of Technology North Bangkok, Thailand

👉 Welcome to read our paper published "Deep Learning-Based Flap Detection System Using Thermographic Images in Plastic Surgery" by Răzvan Danciu, Bogdan Andrei Danciu et al.

🏨 “Carol Davila” University of Medicine and Pharmacy, ETH Zürich, “Prof. Dr. Agrippa Ionescu” Emergency Clinical Hospital, Emergency District Hospital, University of Medicine and Pharmacy “Iuliu Hatieganu", Clinical Emergency Hospital of Bucharest

💡Experimental results demonstrate that our model (AER2U-Net) achieves significantly better performance on our unique dataset compared to these existing U-Net variants, showing an accuracy of 0.87. This deep learning-based algorithm offers a non-invasive and precise method to monitor flap vitality and detect postoperative complications early, with further refinement needed to enhance its clinical applicability and effectiveness.

🔗Read more at: https://brnw.ch/21x1O0t

👉 Welcome to read our paper published "Forecasting Electricity Consumption Using Function Fitting Artificial Neural Networks and Regression Methods" by André Gifalli, Haroldo Luiz Moretti do Amaral, Alfredo Bonini Neto, André Nunes de Souza, André von Frühauf Hublard, João Carlos Carneiro and Floriano Torres Neto.

🏨 School of Engineering, São Paulo State University and
School of Sciences and Engineering, São Paulo State University

💡This paper presents prediction tests combining the result obtained from an artificial neural network and regression methods. The artificial neural network used was the Multilayer Perceptron (MLP), and its results were compared with polynomial regression techniques (first, second, and third degree), demonstrating the superiority of the network.

🔗Read more: https://brnw.ch/21x1NZW