Paper Collection—Award Winning Papers in Engineering
We are pleased to announce that 59 papers in the field of Engineering have been selected as the 2025 Best Paper Award winners.
Actuators:
Flow Control around NACA0015 Airfoil Using a Dielectric Barrier Discharge Plasma Actuator over a Wide Range of the Reynolds Number
Sekimoto, S.; Fujii, K.; Anyoji, M.; Miyakawa, Y.; Ito, S.; Shimomura, S.; Nishida, H.; Nonomura, T.; Matsuno, T.
Actuators 2023, 12, 43. https://doi.org/10.3390/act12010043
A Review of Cooperative Actuator and Sensor Systems Based on Dielectric Elastomer Transducers
Rizzello, G.
Actuators 2023, 12, 46. https://doi.org/10.3390/act12020046
Effect of the Magnetorheological Damper Dynamic Behaviour on the Rail Vehicle Comfort: Hardware-in-the-Loop Simulation
Jeniš, F.; Kubík, M.; Michálek, T.; Strecker, Z.; Žáček, J.; Mazůrek, I.
Actuators 2023, 12, 47. https://doi.org/10.3390/act12020047
Aerospace:
Design Exploration for Sustainable Regional Hybrid-Electric Aircraft: A Study Based on Technology Forecasts
Marciello, V.; Di Stasio, M.; Ruocco, M.; Trifari, V.; Nicolosi, F.; Meindl, M.; Lemoine, B.; Caliandro, P.
Aerospace 2023, 10, 165. https://doi.org/10.3390/aerospace10020165
A Review of Working Fluids and Flow State Effects on Thermal Performance of Micro-Channel Oscillating Heat Pipe for Aerospace Heat Dissipation
Zhao, X.; Su, L.; Jiang, J.; Deng, W.; Zhao, D.
Aerospace 2023, 10, 179. https://doi.org/10.3390/aerospace10020179
Applied Sciences:
VulEye: A Novel Graph Neural Network Vulnerability Detection Approach for PHP Application
Lin, C.; Xu, Y.; Fang, Y.; Liu, Z.
Appl. Sci. 2023, 13, 825. https://doi.org/10.3390/app13020825
Large-Scale Experimental Static Testing on 50-Year-Old Prestressed Concrete Bridge Girders
Savino, P.; Tondolo, F.; Sabia, D.; Quattrone, A.; Biondini, F.; Rosati, G.; Anghileri, M.; Chiaia, B.
Appl. Sci. 2023, 13, 834. https://doi.org/10.3390/app13020834
A Framework for Attribute-Based Access Control in Processing Big Data with Multiple Sensitivities
Tall, A.M.; Zou, C.C.
Appl. Sci. 2023, 13, 1183. https://doi.org/10.3390/app13021183
Scour Detection with Monitoring Methods and Machine Learning Algorithms—A Critical Review
Tola, S.; Tinoco, J.; Matos, J.C.; Obrien, E.
Appl. Sci. 2023, 13, 1661. https://doi.org/10.3390/app13031661
Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring
Brusa, E.; Cibrario, L.; Delprete, C.; Di Maggio, L.G.
Appl. Sci. 2023, 13, 2038. https://doi.org/10.3390/app13042038
Ceramic Matrix Composites for Aero Engine Applications—A Review
Karadimas, G.; Salonitis, K.
Appl. Sci. 2023, 13, 3017. https://doi.org/10.3390/app13053017
Digital Twins: The New Frontier for Personalized Medicine?
Cellina, M.; Cè, M.; Alì, M.; Irmici, G.; Ibba, S.; Caloro, E.; Fazzini, D.; Oliva, G.; Papa, S.
Appl. Sci. 2023, 13, 7940. https://doi.org/10.3390/app13137940
Production of Biogas and Biomethane as Renewable Energy Sources: A Review
Mignogna, D.; Ceci, P.; Cafaro, C.; Corazzi, G.; Avino, P.
Appl. Sci. 2023, 13, 10219. https://doi.org/10.3390/app131810219
Mineral Characterization Using Scanning Electron Microscopy (SEM): A Review of the Fundamentals, Advancements, and Research Directions
Ali, A.; Zhang, N.; Santos, R.M.
Appl. Sci. 2023, 13, 12600. https://doi.org/10.3390/app132312600
YOLO-SE: Improved YOLOv8 for Remote Sensing Object Detection and Recognition
Wu, T.; Dong, Y.
Appl. Sci. 2023, 13, 12977. https://doi.org/10.3390/app132412977
Applied System Innovation:
Bibliometric Trends in Industry 5.0 Research: An Updated Overview
Madsen, D.Ø.; Berg, T.; Di Nardo, M.
Appl. Syst. Innov. 2023, 6, 63. https://doi.org/10.3390/asi6040063
Modular Open-Core System for Collection and Near Real-Time Processing of High-Resolution Data from Wearable Sensors
Temple, D.S.; Hegarty-Craver, M.; Gaur, P.; Boyce, M.D.; Holt, J.R.; Preble, E.A.; Eckhoff, R.P.; Davis-Wilson, H.; Walls, H.J.; Dausch, D.E.; et al.
Appl. Syst. Innov. 2023, 6, 79. https://doi.org/10.3390/asi6050079
Bioengineering:
Anomaly Detection for Sensor Signals Utilizing Deep Learning Autoencoder-Based Neural Networks
Esmaeili, F.; Cassie, E.; Nguyen, H.P.T.; Plank, N.O.V.; Unsworth, C.P.; Wang, A.
Bioengineering 2023, 10, 405. https://doi.org/10.3390/bioengineering10040405
Integrated Manufacturing of Suspended and Aligned Nanofibrous Scaffold for Structural Maturation and Synchronous Contraction of HiPSC-Derived Cardiomyocytes
Liu, L.; Xu, F.; Jin, H.; Qiu, B.; Yang, J.; Zhang, W.; Gao, Q.; Lin, B.; Chen, S.; Sun, D.
Bioengineering 2023, 10, 702. https://doi.org/10.3390/bioengineering10060702
Biomimetics:
Development of a Lizard-Inspired Robot for Mars Surface Exploration
Chen, G.; Qiao, L.; Zhou, Z.; Richter, L.; Ji, A.
Biomimetics 2023, 8, 44. https://doi.org/10.3390/biomimetics8010044
The Plant Leaf: A Biomimetic Resource for Multifunctional and Economic Design
Roth-Nebelsick, A.; Krause, M.
Biomimetics 2023, 8, 145. https://doi.org/10.3390/biomimetics8020145
Buildings:
Bending Properties and Vibration Characteristics of Dowel-Laminated Timber Panels Made with Short Salvaged Timber Elements
Giordano, L.; Derikvand, M.; Fink, G.
Buildings 2023, 13, 199. https://doi.org/10.3390/buildings13010199
Experimental Study on Inner Interface Mechanical Properties of the ESDCM Pile with Steel Core
Bao, H.; Peng, J.; Cheng, Z.; Hong, J.; Gao, Y.
Buildings 2023, 13, 486. https://doi.org/10.3390/buildings13020486
Comparative Analysis of ANN and LSTM Prediction Accuracy and Cooling Energy Savings through AHU-DAT Control in an Office Building
Seo, B.; Yoon, Y.; Lee, K.H.; Cho, S.
Buildings 2023, 13, 1434. https://doi.org/10.3390/buildings13061434
Robot-Enabled Construction Assembly with Automated Sequence Planning Based on ChatGPT: RoboGPT
You, H.; Ye, Y.; Zhou, T.; Zhu, Q.; Du, J.
Buildings 2023, 13, 1772. https://doi.org/10.3390/buildings13071772
Perception of Color in Architecture and Urban Space
Jaglarz, A.
Buildings 2023, 13, 2000. https://doi.org/10.3390/buildings13082000
ChemEngineering:
Agricultural Biomass Waste to Biochar: A Review on Biochar Applications Using Machine Learning Approach and Circular Economy
Rex, P.; Mohammed Ismail, K.R.; Meenakshisundaram, N.; Barmavatu, P.; Sai Bharadwaj, A.V.S.L.
ChemEngineering 2023, 7, 50. https://doi.org/10.3390/chemengineering7030050
Process Optimization of Biodiesel from Used Cooking Oil in a Microwave Reactor: A Case of Machine Learning and Box–Behnken Design
Buasri, A.; Sirikoom, P.; Pattane, S.; Buachum, O.; Loryuenyong, V.
ChemEngineering 2023, 7, 65. https://doi.org/10.3390/chemengineering7040065
Designs:
The Status of On-Board Hydrogen Storage in Fuel Cell Electric Vehicles
Gómez, J.A.; Santos, D.M.F.
Designs 2023, 7, 97. https://doi.org/10.3390/designs7040097
Drones:
Vision-Based Navigation Techniques for Unmanned Aerial Vehicles: Review and Challenges
Arafat, M.Y.; Alam, M.M.; Moh, S.
Drones 2023, 7, 89. https://doi.org/10.3390/drones7020089
FANET Routing Protocol Analysis for Multi-UAV-Based Reconnaissance Mobility Models
Kim, T.; Lee, S.; Kim, K.H.; Jo, Y.-I.
Drones 2023, 7, 161. https://doi.org/10.3390/drones7030161
Electronics:
Distributed Deep Neural-Network-Based Middleware for Cyber-Attacks Detection in Smart IoT Ecosystem: A Novel Framework and Performance Evaluation Approach
Bhandari, G.; Lyth, A.; Shalaginov, A.; Grønli, T.-M.
Electronics 2023, 12, 298. https://doi.org/10.3390/electronics12020298
Solid State Transformers: A Critical Review of Projects with Relevant Prototypes and Demonstrators
Cervero, D.; Fotopoulou, M.; Muñoz-Cruzado, J.; Rakopoulos, D.; Stergiopoulos, F.; Nikolopoulos, N.; Voutetakis, S.; Sanz, J.F.
Electronics 2023, 12, 931. https://doi.org/10.3390/electronics12040931
Predictive Maintenance for Distribution System Operators in Increasing Transformers’ Reliability
Vita, V.; Fotis, G.; Chobanov, V.; Pavlatos, C.; Mladenov, V.
Electronics 2023, 12, 1356. https://doi.org/10.3390/electronics12061356
Journal of Imaging:
GANs for Medical Image Synthesis: An Empirical Study
Skandarani, Y.; Jodoin, P.-M.; Lalande, A.
J. Imaging 2023, 9, 69. https://doi.org/10.3390/jimaging9030069
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
Kebaili, A.; Lapuyade-Lahorgue, J.; Ruan, S.
J. Imaging 2023, 9, 81. https://doi.org/10.3390/jimaging9040081
Journal of Manufacturing and Materials Processing:
Influence of Novel Beam Shapes on Laser-Based Processing of High-Strength Aluminium Alloys on the Basis of EN AW-5083 Single Weld Tracks
Nahr, F.; Bartels, D.; Rothfelder, R.; Schmidt, M.
J. Manuf. Mater. Process. 2023, 7, 93. https://doi.org/10.3390/jmmp7030093
A Review of the Recent Developments and Challenges in Wire Arc Additive Manufacturing (WAAM) Process
Shah, A.; Aliyev, R.; Zeidler, H.; Krinke, S.
J. Manuf. Mater. Process. 2023, 7, 97. https://doi.org/10.3390/jmmp7030097
Lubricants:
Investigation of Microflow Effects in Textures on Hydrodynamic Performance of Journal Bearings Using CFD Simulations
Wang, Y.; Jacobs, G.; König, F.; Zhang, S.; von Goeldel, S.
Lubricants 2023, 11, 20. https://doi.org/10.3390/lubricants11010020
Physics-Informed Machine Learning—An Emerging Trend in Tribology
Marian, M.; Tremmel, S.
Lubricants 2023, 11, 463. https://doi.org/10.3390/lubricants11110463
Machines:
A Deep-Learning-Based Approach for Aircraft Engine Defect Detection
Upadhyay, A.; Li, J.; King, S.; Addepalli, S.
Machines 2023, 11, 192. https://doi.org/10.3390/machines11020192
Bearing Current and Shaft Voltage in Electrical Machines: A Comprehensive Research Review
Tawfiq, K.B.; Güleç, M.; Sergeant, P.
Machines 2023, 11, 550. https://doi.org/10.3390/machines11050550
Micromachines:
Fabrication of Multi-Material Pneumatic Actuators and Microactuators Using Stereolithography
Song, Q.; Chen, Y.; Hou, P.; Zhu, P.; Helmer, D.; Kotz-Helmer, F.; Rapp, B.E.
Micromachines 2023, 14, 244. https://doi.org/10.3390/mi14020244
Tree-Based Machine Learning Models with Optuna in Predicting Impedance Values for Circuit Analysis
Lai, J.-P.; Lin, Y.-L.; Lin, H.-C.; Shih, C.-Y.; Wang, Y.-P.; Pai, P.-F.
Micromachines 2023, 14, 265. https://doi.org/10.3390/mi14020265
Biomechanical Assessment of Red Blood Cells in Pulsatile Blood Flows
Kang, Y.J.
Micromachines 2023, 14, 317. https://doi.org/10.3390/mi14020317
Microfluidic Coupling of Step Emulsification and Deterministic Lateral Displacement for Producing Satellite-Free Droplets and Particles
Ji, G.; Kanno, Y.; Nisisako, T.
Micromachines 2023, 14, 622. https://doi.org/10.3390/mi14030622
Hyperelastic Modeling and Validation of Hybrid-Actuated Soft Robot with Pressure-Stiffening
Roshanfar, M.; Taki, S.; Sayadi, A.; Cecere, R.; Dargahi, J.; Hooshiar, A.
Micromachines 2023, 14, 900. https://doi.org/10.3390/mi14050900
Processes:
Exploring Different Designs in Thieno[3,4-b]pyrazine-Based Dyes to Enhance Divergent Optical Properties in Dye-Sensitized Solar Cells
Franchi, D.; Bartolini, M.; D’Amico, F.; Calamante, M.; Zani, L.; Reginato, G.; Mordini, A.; Dessì, A.
Processes 2023, 11, 1542. https://doi.org/10.3390/pr11051542
Chemical Looping Strategy in Various Types of Carbon Capture Technologies
Narindri Rara Winayu, B.; Tseng, T.-K.; Chu, H.
Processes 2023, 11, 3164. https://doi.org/10.3390/pr11113164
Sensors:
Fight Fire with Fire: Detecting Forest Fires with Embedded Machine Learning Models Dealing with Audio and Images on Low Power IoT Devices
Peruzzi, G.; Pozzebon, A.; Van Der Meer, M.
Sensors 2023, 23, 783. https://doi.org/10.3390/s23020783
Dual-YOLO Architecture from Infrared and Visible Images for Object Detection
Bao, C.; Cao, J.; Hao, Q.; Cheng, Y.; Ning, Y.; Zhao, T.
Sensors 2023, 23, 2934. https://doi.org/10.3390/s23062934
Biocompatible and Long-Term Monitoring Strategies of Wearable, Ingestible and Implantable Biosensors: Reform the Next Generation Healthcare
Lu, T.; Ji, S.; Jin, W.; Yang, Q.; Luo, Q.; Ren, T.-L.
Sensors 2023, 23, 2991. https://doi.org/10.3390/s23062991
The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review
Shajari, S.; Kuruvinashetti, K.; Komeili, A.; Sundararaj, U.
Sensors 2023, 23, 9498. https://doi.org/10.3390/s23239498
Smart Cities:
Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities
Papastefanopoulos, V.; Linardatos, P.; Panagiotakopoulos, T.; Kotsiantis, S.
Smart Cities 2023, 6, 2519-2552. https://doi.org/10.3390/smartcities6050114
A Comparative Analysis of Multi-Label Deep Learning Classifiers for Real-Time Vehicle Detection to Support Intelligent Transportation Systems
Shokri, D.; Larouche, C.; Homayouni, S.
Smart Cities 2023, 6, 2982-3004. https://doi.org/10.3390/smartcities6050134
Technologies:
How to Bell the Cat? A Theoretical Review of Generative Artificial Intelligence towards Digital Disruption in All Walks of Life
Mondal, S.; Das, S.; Vrana, V.G.
Technologies 2023, 11, 44. https://doi.org/10.3390/technologies11020044
Utilization of Artificial Neural Networks for Precise Electrical Load Prediction
Pavlatos, C.; Makris, E.; Fotis, G.; Vita, V.; Mladenov, V.
Technologies 2023, 11, 70. https://doi.org/10.3390/technologies11030070
World Electric Vehicle Journal:
Identification of Challenges for Second-Life Battery Systems—A Literature Review
Kampker, A.; Heimes, H.H.; Offermanns, C.; Vienenkötter, J.; Frank, M.; Holz, D.
World Electr. Veh. J. 2023, 14, 80. https://doi.org/10.3390/wevj14040080
Long-Distance Electric Truck Traffic: Analysis, Modeling and Designing a Demand-Oriented Charging Network for Germany
Menter, J.; Fay, T.-A.; Grahle, A.; Göhlich, D.
World Electr. Veh. J. 2023, 14, 205. https://doi.org/10.3390/wevj14080205