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Editorial

Special Issue: Feature Papers in Eng 2024

by
Antonio Gil Bravo
INAMAT^2, Science Department, Public University of Navarra, Building Los Acebos, Campus of Arrosadia, E-31006 Pamplona, Spain
Submission received: 10 April 2025 / Accepted: 12 April 2025 / Published: 15 April 2025
(This article belongs to the Special Issue Feature Papers in Eng 2024)

1. Introduction

Similarly to previous Special Issues of this series, the aim of this fourth edition of “Feature Papers in Eng” is to collect experimental and theoretical works related to engineering science and technology. The general topics published in Eng include electrical, electronic, and information engineering; chemical and materials engineering; energy engineering; mechanical and automotive engineering; industrial and manufacturing engineering; civil and structural engineering; aerospace engineering; biomedical engineering; geotechnical engineering and engineering geology; and ocean and environmental engineering. Many of these topics are included as they contribute to the circular economy and sustainable development. These aspects are addressed from various points of view and are supported by the fascinating field of engineering and its applications. The following selection of representative works of these topics were published in our journal in 2024–early 2025.
The intersection of Industry 4.0 and the circular economy, considered in a manuscript in this Special Issue [1], offers numerous opportunities for businesses to create more sustainable, efficient, and resilient operations. Some examples include digital product passports, which involve using digital technologies to track product lifecycles, thus enabling more efficient recycling and reuse; predictive maintenance, which involves using Internet of Things (IoT) sensors and machine learning to predict maintenance needs, thus reducing waste and improving resource utilization; and product as a service, which involves offering products as services, encouraging sharing and collaboration, and reducing waste.
In a similar vein, sustainable charging stations, alongside electric vehicles (EVs) as key components of a low-carbon transportation system [2], can be designed to minimize environmental impacts while supporting the growth of EVs. Key features include charging stations powered by solar, wind, or other renewable energy sources; battery storage systems to reduce peak demand and stabilize the grid; and fast-charging technologies that minimize energy losses and reduce charging times. The benefits reported for sustainable charging stations also include reduced greenhouse gas emissions due to the use of renewable energy sources; improved air quality by promoting the adoption of EVs; and enhanced energy security by diversifying energy sources and reducing dependence on fossil fuels [3].
Synthetic nitrogen fertilizers are a widely used agricultural tool that has both benefits and drawbacks for sustainable development [4]. Its cited benefits include significant increases in crop yields, helping to meet global food demands; improvements in food security, particularly in regions with limited agricultural resources; and economic benefits for farmers, due to increases in yield and income. However, some of the drawbacks of synthetic nitrogen fertilizers include the significant environmental impacts of its production and use, including water pollution, soil degradation, and greenhouse gas emissions; the significant amounts of energy required, which is often generated from fossil fuels; and the negative health impacts, particularly for farmers and rural communities, due to exposure to toxic chemicals.
Finally, some sustainable alternatives to the use of synthetic nitrogen fertilizers and their development opportunities include organic fertilizers, such as compost and manure, which can provide a more sustainable alternative to synthetic nitrogen fertilizers; crop rotation and intercropping, which can help improve soil fertility and reduce the need for synthetic nitrogen fertilizers; promoting sustainable agriculture practices, such as organic farming and agroecology, which can help reduce the environmental impacts of synthetic nitrogen fertilizers; implementing circular economy approaches, such as recycling and reusing nutrients, which can help reduce waste and minimize environmental impacts; and developing policies and regulatory frameworks that support sustainable agriculture practices and reduce the use of synthetic nitrogen fertilizer, which can help promote sustainable development.
Some of these aspects have been addressed in this Special Issue, allowing for greater discussion among potential readers. For more information, please see the List of Contributions.

2. Overview of the Published Articles

This Special Issue contains 42 papers, including 6 Reviews and 1 Perspective, published by several authors interested in new cutting-edge developments in the field of engineering. The submitted papers are from authors from 33 countries, including Australia, Bosnia and Herzegovina, Brazil, Brunei, Canada, China, Croatia, the Czech Republic, Estonia, Finland, France, Germany, Greece, Hungary, India, Iran, Italy, Japan, Malaysia, Mexico, Poland, Portugal, the Republic of Korea, Romania, Serbia, Slovakia, Slovenia, Spain, Taiwan, Turkey, Ukraine, the United Kingdom, and the USA.

3. Conclusions

The articles published in this Special Issue present important advancements in engineering. I express my sincere gratitude to all the authors, who have professionally and enthusiastically contributed to this Special Issue, and I thank the managing editors and reviewers who helped to improve the papers and made important contributions to this Special Issue. I hope that the articles showcased in this Special Issue are interesting and inspiring to its readers, especially young scholars who are eager to learn about recent advances in the field and to contribute future research.

Acknowledgments

The author is grateful for the financial support from the Spanish Ministry of Science and Innovation (MCIU/AEI/10.13039/501100011033/FEDER, EU) through project PID2023-146935OB-C21.

Conflicts of Interest

The author declares no conflicts of interest.

List of Contributions

  • Ferreira, V.B.; de Aquino Gomes, R.; Domingos, J.L.; da Fonseca, R.C.B.; Mendes, T.A.; Bouloukakis, G.; da Costa, B.B.F.; Haddad, A.N. Planning Energy-Efficient Smart Industrial Spaces for Industry 4.0. Eng 2025, 6, 53. https://doi.org/10.3390/eng6030053.
  • Tomanik, E.; Christinelli, W.; Garcia, P.S.; Rajala, S.; Crepaldi, J.; Franzosi, D.; Souza, R.M.; Rovai, F.F. Effect of Graphene Nanoplatelets as Lubricant Additive on Fuel Consumption During Vehicle Emission Tests. Eng 2025, 6, 18. https://doi.org/10.3390/eng6010018.
  • Lui, M.H.; Liu, H.; Tang, Z.; Yuan, H.; Williams, D.; Lee, D.; Wong, K.C.; Wang, Z. An Adaptive YOLO11 Framework for the Localisation, Tracking, and Imaging of Small Aerial Targets Using a Pan–Tilt–Zoom Camera Network. Eng 2024, 5, 3488–3516. https://doi.org/10.3390/eng5040182.
  • Rátkai, M.; Géczi, G.; Székely, L. Investigation of the Hottel–Whillier–Bliss Model Applied for an Evacuated Tube Solar Collector. Eng 2024, 5, 3427–3438. https://doi.org/10.3390/eng5040178.
  • Kobelev, V. On the Game-Based Approach to Optimal Design. Eng 2024, 5, 3212–3238. https://doi.org/10.3390/eng5040169.
  • Vieira, A.F.C.; Filho, M.R.T.; Eguea, J.P.; Ribeiro, M.L. Optimization of Structures and Composite Materials: A Brief Review. Eng 2024, 5, 3192–3211. https://doi.org/10.3390/eng5040168.
  • Puška, A.; Nedeljković, M.; Štilić, A.; Božanić, D. Evaluation of Affordable Agricultural Drones for Small and Medium Farms. Eng 2024, 5, 3161–3173. https://doi.org/10.3390/eng5040166.
  • Armenta-Déu, C.; Sancho, L. Sustainable Charging Stations for Electric Vehicles. Eng 2024, 5, 3115–3136. https://doi.org/10.3390/eng5040163.
  • Netto, K.; Francis-Pester, G.; Benazic, P.; Edwards, P. Understanding the Musculoskeletal Demand of Ride-On Mowing Using Wearable Technology. Eng 2024, 5, 3108–3114. https://doi.org/10.3390/eng5040162.
  • Harkonen, J.; Rodriguez, J.M.G.; Mustonen, E. The Role of Productization in End-To-End Traceability. Eng 2024, 5, 2943–2965. https://doi.org/10.3390/eng5040153.
  • Thakkar, G.; Preradović, N.M.; Tadić, M. Examining Sentiment Analysis for Low-Resource Languages with Data Augmentation Techniques. Eng 2024, 5, 2920–2942. https://doi.org/10.3390/eng5040152.
  • Thwin, S.M.; Park, H.-S. Enhanced Skin Lesion Segmentation and Classification Through Ensemble Models. Eng 2024, 5, 2805–2820. https://doi.org/10.3390/eng5040146.
  • Udhwani, L.; Soni, A.; Cuce, E.; Kumarasamy, S. Optical Fiber Technology for Efficient Daylighting and Thermal Control: A Sustainable Approach for Buildings. Eng 2024, 5, 2680–2694. https://doi.org/10.3390/eng5040140.
  • Sokolov, O.; Iakovets, A.; Andrusyshyn, V.; Trojanowska, J. Development of a Smart Material Resource Planning System in the Context of Warehouse 4.0. Eng 2024, 5, 2588–2609. https://doi.org/10.3390/eng5040136.
  • Garousi, M.H.; Karimi, M.; Casoli, P.; Rundo, M.; Fallahzadeh, R. Vibration Analysis of a Centrifugal Pump with Healthy and Defective Impellers and Fault Detection Using Multi-Layer Perceptron. Eng 2024, 5, 2511–2530. https://doi.org/10.3390/eng5040131.
  • Shahriar, A.; Majlesi, A.; Montoya, A. A Computationally Time-Efficient Method for Implementing Pressure Load to FE Models with Lagrangian Elements. Eng 2024, 5, 2379–2394. https://doi.org/10.3390/eng5030124.
  • Pucci, M.; Zanforlin, S. Improved Lift for Thick Flatback Airfoils in the Inboard Blades of Large Wind Turbines. Eng 2024, 5, 2345–2361. https://doi.org/10.3390/eng5030122.
  • Paulino, D.; Netto, A.T.; Brito, W.A.T.; Paredes, H. WebTraceSense—A Framework for the Visualization of User Log Interactions. Eng 2024, 5, 2206–2222. https://doi.org/10.3390/eng5030115.
  • Medvedieva, K.; Tosi, T.; Barbierato, E.; Gatti, A. Balancing the Scale: Data Augmentation Techniques for Improved Supervised Learning in Cyberattack Detection. Eng 2024, 5, 2170–2205. https://doi.org/10.3390/eng5030114.
  • Suzuki, Y.; Yue, B. Grading Evaluation of Marbling in Wagyu Beef Using Fractal Analysis. Eng 2024, 5, 2157–2169. https://doi.org/10.3390/eng5030113.
  • Schroeder, B.; Free, M.; Sarswat, P.; Sadler, E.; Burke, J.; Evans, Z. Evaluating Field-Effect Separation on Rare Earth and Critical Metals. Eng 2024, 5, 2016–2032. https://doi.org/10.3390/eng5030107.
  • Rosset, J.; Olaniyanu, E.; Stein, K.; Almeida, N.D.; França, R. Exploring the Frontier of 3D Bioprinting for Tendon Regeneration: A Review. Eng 2024, 5, 1838–1849. https://doi.org/10.3390/eng5030098.
  • Ye, X.P. Decarbonizing Nitrogen Fertilizer for Agriculture with Nonthermal Plasma Technology. Eng 2024, 5, 1823–1837. https://doi.org/10.3390/eng5030097.
  • Panaite, F.A.; Leba, M.; Ionica, A.C. Assessing CNN Architectures for Estimating Correct Posture in Cruise Machinists. Eng 2024, 5, 1785–1803. https://doi.org/10.3390/eng5030094.
  • Zani, N.; Solazzi, L. Analysis and Prediction of Spring-Back in Cylindrical Helical Springs Using Analytical and Numerical Models. Eng 2024, 5, 1696–1707. https://doi.org/10.3390/eng5030089.
  • Cascino, A.; Amedei, A.; Meli, E.; Rindi, A. Development, Designing and Testing of a New Test Rig for Studying Innovative Polycrystalline Diamond Bearings. Eng 2024, 5, 1615–1640. https://doi.org/10.3390/eng5030085.
  • Laganà, F.; Prattico, D.; De Carlo, D.; Oliva, G.; Pullano, S.A.; Calcagno, S. Engineering Biomedical Problems to Detect Carcinomas: A Tomographic Impedance Approach. Eng 2024, 5, 1594–1614. https://doi.org/10.3390/eng5030084.
  • Caesarendra, W. Bone Drilling: Review with Lab Case Study of Bone Layer Classification Using Vibration Signal and Deep Learning Methods. Eng 2024, 5, 1566–1593. https://doi.org/10.3390/eng5030083.
  • Kakinuma, T.; Fukuura, Y. Control of Floating Body Waves Due to an Airplane Takeoff from a Very Large Floating Airport. Eng 2024, 5, 1513–1533. https://doi.org/10.3390/eng5030081.
  • Cascino, A.; Meli, E.; Rindi, A. Development of a Methodology for Railway Bolster Beam Design Enhancement Using Topological Optimization and Manufacturing Constraints. Eng 2024, 5, 1485–1498. https://doi.org/10.3390/eng5030079.
  • Aviles, M.; Sánchez-Reyes, L.M.; Álvarez-Alvarado, J.M.; Rodríguez-Reséndiz, J. Machine and Deep Learning Trends in EEG-Based Detection and Diagnosis of Alzheimer’s Disease: A Systematic Review. Eng 2024, 5, 1464–1484. https://doi.org/10.3390/eng5030078.
  • Wang, Z.; Qi, X.; Wang, C.; Easa, S.M.; Chen, F.; Cheng, J. Correlation Analysis between Young Driver Characteristics and Visual/Physiological Attributes at Expressway Exit Ramp. Eng 2024, 5, 1435–1450. https://doi.org/10.3390/eng5030076.
  • Paplomatas, P.; Rigas, D.; Sergounioti, A.; Vrahatis, A. Enhancing Metabolic Syndrome Detection through Blood Tests Using Advanced Machine Learning. Eng 2024, 5, 1422–1434. https://doi.org/10.3390/eng5030075.
  • Theodorakopoulos, L.; Theodoropoulou, A.; Stamatiou, Y. A State-of-the-Art Review in Big Data Management Engineering: Real-Life Case Studies, Challenges, and Future Research Directions. Eng 2024, 5, 1266–1297; https://doi.org/10.3390/eng5030068.
  • Falter, J.; Herburger, D.; Binz, H.; Kreimeyer, M. An Investigation of Increased Power Transmission Capabilities of Elastic–Plastic-Designed Press–Fit Connections Using a Detachable Joining Device. Eng 2024, 5, 1155–1172. https://doi.org/10.3390/eng5030063.
  • Jakschik, M.; Endemann, F.; Adler, P.; Lamers, L.; Kuhlenkötter, B. Assessing the Suitability of Automation Using the Methods–Time–Measurement Basic System. Eng 2024, 5, 967–982. https://doi.org/10.3390/eng5020053.
  • Chaudhuri, R.A.; Kim, D. Effects of Initial Small-Scale Material Nonlinearity on the Pre-Yield and Pre-Buckling Response of an Externally Pressurized Ring. Eng 2024, 5, 733–749. https://doi.org/10.3390/eng5020040.
  • Bade, S.O.; Meenakshisundaram, A.; Tomomewo, O.S. Current Status, Sizing Methodologies, Optimization Techniques, and Energy Management and Control Strategies for Co-Located Utility-Scale Wind–Solar-Based Hybrid Power Plants: A Review. Eng 2024, 5, 677–719. https://doi.org/10.3390/eng5020038.
  • Taghavi, S.A.; Jalali, F.M.; Moezzi, R.; Khaksar, R.Y.; Wacławek, S.; Gheibi, M.; Annuk, A. Numerical Analysis of Bearing Capacity in Deep Excavation Support Structures: A Comparative Study of Nailing Systems and Helical Anchors. Eng 2024, 5, 657–676. https://doi.org/10.3390/eng5020037.
  • Bajrami, A.; Costa, D.; Palpacelli, M.C.; Emiliani, F. Investigating Collaborative Robotic Assembly: A Case Study of the FANUC CRX-10 iA/L in Industrial Automation at i-Labs. Eng 2024, 5, 532–543. https://doi.org/10.3390/eng5020029.
  • Rosa, A.; Massaro, A. Process Mining Organization (PMO) Based on Machine Learning Decision Making for Prevention of Chronic Diseases. Eng 2024, 5, 282–300. https://doi.org/10.3390/eng5010015.
  • Patel, B.; Dubey, V.; Barde, S.; Sharma, N. Optimum Path Planning Using Dragonfly-Fuzzy Hybrid Controller for Autonomous Vehicle. Eng 2024, 5, 246–265; https://doi.org/10.3390/eng5010013.

References

  1. Ferreira, V.B.; de Aquino Gomes, R.; Domingos, J.L.; da Fonseca, R.C.B.; Mendes, T.A.; Bouloukakis, G.; da Costa, B.B.F.; Haddad, A.N. Planning Energy-Efficient Smart Industrial Spaces for Industry 4.0. Eng 2025, 6, 53. [Google Scholar] [CrossRef]
  2. Armenta-Déu, C.; Sancho, L. Sustainable Charging Stations for Electric Vehicles. Eng 2024, 5, 3115–3136. [Google Scholar] [CrossRef]
  3. Gil, A. Challenges on Waste-to-Energy for the Valorization of Industrial Wastes: Electricity, Heat and Cold, Bioliquids and Biofuels. Environ. Nanotechnol. Monit. Manag. 2022, 17, 100615. [Google Scholar] [CrossRef]
  4. Ye, X.P. Decarbonizing Nitrogen Fertilizer for Agriculture with Nonthermal Plasma Technology. Eng 2024, 5, 1823–1837. [Google Scholar] [CrossRef]
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