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Technologies, Volume 13, Issue 2

February 2025 - 46 articles

Cover Story: Solar energy offers an alternative for powering electrolysis for green hydrogen production as well as wastewater treatment. High costs and logistical challenges of electrolysis have limited widespread investigation and implementation of electrochemistry in wastewater plants. To overcome these challenges, researchers from the University of Western Ontario have designed and tested a new approach to chemical experiments and wastewater treatment tests, using a portable stand-alone open-source PV-powered station that can be located onsite with unreliable electrical power. Equipped with six wheels, 1.2 kW of solar panels, an energy-monitoring data acquisition system and sensors to enable real-time monitoring of gases, the unique setup demonstrates its potential and adaptability to different applications and scenarios. View this paper
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Articles (46)

  • Article
  • Open Access
3 Citations
4,645 Views
27 Pages

The Role of Artificial Intelligence in Optometric Diagnostics and Research: Deep Learning and Time-Series Forecasting Applications

  • Luis F. F. M. Santos,
  • Miguel Ángel Sánchez-Tena,
  • Cristina Alvarez-Peregrina,
  • José-María Sánchez-González and
  • Clara Martinez-Perez

This study introduces an Artificial Intelligence framework based on the Deep Learning model Bidirectional Encoder Representations from Transformers framework trained on a dataset from 2000–2023. The AI tool categorizes articles into six classes...

  • Review
  • Open Access
5 Citations
5,205 Views
18 Pages

Exploring the Combination of Serious Games, Social Interactions, and Virtual Reality in Adolescents with ASD: A Scoping Review

  • Fabrizio Stasolla,
  • Enza Curcio,
  • Anna Passaro,
  • Mariacarla Di Gioia,
  • Antonio Zullo and
  • Elvira Martini

Autism spectrum disorder (ASD) often presents significant challenges for adolescents in developing social interaction skills. Emerging technologies such as Serious Games (SGs) and Virtual Reality (VR) offer promising solutions by providing immersive,...

  • Feature Paper
  • Article
  • Open Access
3 Citations
3,433 Views
35 Pages

Development of a Self-Updating System for the Prediction of Steel Mechanical Properties in a Steel Company by Machine Learning Procedures

  • Valerio Zippo,
  • Elisa Robotti,
  • Daniele Maestri,
  • Pietro Fossati,
  • David Valenza,
  • Stefano Maggi,
  • Gennaro Papallo,
  • Masho Hilawie Belay,
  • Simone Cerruti and
  • Giorgio Porcu
  • + 1 author

This study is focused on the implementation of statistical learning methods for the prediction of the mechanical properties of steel products from the chemical profile of the raw material and the process parameters. The integration of this model into...

  • Review
  • Open Access
2 Citations
8,472 Views
40 Pages

Solid State Transformers (SSTs) represent an emerging technology that seeks to improve upon traditional Low-Frequency Transformers (LFTs) with Medium-Frequency Transformers (MFTs) of reduced core size while incorporating modular converter structures...

  • Article
  • Open Access
1,311 Views
22 Pages

Effect of Anti-Bending Bars on Vertical Vibrations of Passenger Carriage Body

  • Ioana-Izabela Apostol,
  • Traian Mazilu and
  • Mădălina Dumitriu

High-speed passenger carriages with a long and light carriage body are sensitive to vertical vibration because the bending mode eigenfrequency falls within the most sensible frequency interval for the human being. Anti-bending bars (ABBs) are a passi...

  • Article
  • Open Access
1 Citations
2,435 Views
20 Pages

Dynamic Surgical Prioritization: A Machine Learning and XAI-Based Strategy

  • Fabián Silva-Aravena,
  • Jenny Morales,
  • Manoj Jayabalan,
  • Muhammad Ehsan Rana and
  • Jimmy H. Gutiérrez-Bahamondes

Surgical waiting lists present significant challenges to healthcare systems, particularly in resource-constrained settings where equitable prioritization and efficient resource allocation are critical. We aim to address these issues by developing a n...

  • Article
  • Open Access
6 Citations
3,230 Views
31 Pages

The demand for efficient renewable energy solutions has spurred the development of advanced maximum power point tracking (MPPT) algorithms for photovoltaic (PV) systems, especially under variable atmospheric conditions. This study proposes a dynamic...

  • Article
  • Open Access
10 Citations
4,531 Views
23 Pages

Automatic Robotic Ultrasound for 3D Musculoskeletal Reconstruction: A Comprehensive Framework

  • Dezhi Sun,
  • Alessandro Cappellari,
  • Bangyu Lan,
  • Momen Abayazid,
  • Stefano Stramigioli and
  • Kenan Niu

Musculoskeletal ultrasound (US) imaging faces challenges such as operator experience, limited spatial flexibility, and high personnel costs. This study introduces an Automated Robotic Ultrasound Scanning (ARUS) system that integrates key technologica...

  • Review
  • Open Access
11 Citations
9,330 Views
22 Pages

A Systematic Review of Locomotion Assistance Exoskeletons: Prototype Development and Technical Challenges

  • Weiqi Lin,
  • Hui Dong,
  • Yongzhuo Gao,
  • Wenda Wang,
  • Yi Long,
  • Long He,
  • Xiwang Mao,
  • Dongmei Wu and
  • Wei Dong

Exoskeletons can track the wearer’s movements in real time, thereby enhancing physical performance or restoring mobility for individuals with gait impairments. These wearable assistive devices have demonstrated significant potential in both reh...

  • Article
  • Open Access
2,226 Views
15 Pages

Integrated Dynamic Power Management Strategy with a Field Programmable Gate Array-Based Cryptoprocessor System for Secured Internet-of-Medical Things Networks

  • Javier Vázquez-Castillo,
  • Daniel Visairo,
  • Ramón Atoche-Enseñat,
  • Alejandro Castillo-Atoche,
  • Renán Quijano-Cetina,
  • Carolina Del-Valle-Soto,
  • Jaime Ortegón-Aguilar and
  • Johan J. Estrada-López

Advancements in electronics and sensor technologies are driving the deployment of ubiquitous sensor networks across various applications, including asset monitoring, security, and networking. At the same time, ensuring the integrity and confidentiali...

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Technologies - ISSN 2227-7080