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  • Article
  • Open Access

End-Users’ Perspectives on Implementation Outcomes of Digital Voice Assistants Delivering a Home-Based Lifestyle Intervention in Older Obese Adults with Type 2 Diabetes Mellitus: A Qualitative Analysis

  • Costas Glavas,
  • Jiani Ma,
  • Surbhi Sood,
  • Elena S. George,
  • Robin M. Daly,
  • Eugene Gvozdenko,
  • Barbora de Courten,
  • David Scott and
  • Paul Jansons
Technologies2025, 13(11), 511;https://doi.org/10.3390/technologies13110511 
(registering DOI)

9 November 2025

Managing blood glucose levels and adhering to exercise is challenging for older adults with obesity and type 2 diabetes mellitus (T2DM). Digital voice assistants (DVAs) utilising conversation-based interactions and natural language may overcome barri...

  • Review
  • Open Access
Technologies2025, 13(11), 509;https://doi.org/10.3390/technologies13110509 
(registering DOI)

8 November 2025

Carbon dioxide (CO2), the primary anthropogenic greenhouse gas, drives significant and potentially irreversible impacts on ecosystems, biodiversity, and human health. Achieving the Paris Agreement target of limiting global warming to well below 2 &de...

  • Article
  • Open Access
Technologies2025, 13(11), 510;https://doi.org/10.3390/technologies13110510 
(registering DOI)

8 November 2025

With a large number of traditional thermal power units being replaced by inverter-based resources, the system inertia and regulation capability have significantly decreased in certain countries, exposing a critical gap in traditional generation-side-...

  • Article
  • Open Access

Detection and Classification of Kidney Disease from CT Images: An Automated Deep Learning Approach

  • Md Nazir Hossain,
  • Emu Bhuiyan,
  • Mohammad Badrul Alam Miah,
  • Tanvir Ahmmed Sifat,
  • Zia Muhammad and
  • Md Fuyad Al Masud
Technologies2025, 13(11), 508;https://doi.org/10.3390/technologies13110508 
(registering DOI)

8 November 2025

Kidney disease is a social and global health concern where early detection is crucial to reducing mortality and improving treatment outcomes. Traditional diagnostic methods are time-consuming and prone to human error. To address the issue, this study...

  • Review
  • Open Access

Eyes of the Future: Decoding the World Through Machine Vision

  • Svetlana N. Khonina,
  • Nikolay L. Kazanskiy,
  • Ivan V. Oseledets,
  • Roman M. Khabibullin and
  • Artem V. Nikonorov

Machine vision (MV) is reshaping numerous industries by giving machines the ability to understand what they “see” and respond without human intervention. This review brings together the latest developments in deep learning (DL), image pro...

  • Systematic Review
  • Open Access

A Network-Based Quantitative Analysis of the Societal Impacts of Assistive Technology

  • Paulo Alexandre Correia de Jesus,
  • Jordam Wilson Lourenço,
  • Osiris Canciglieri Junior,
  • Ismael Cristofer Baierle and
  • Jones Luís Schaefer

It is estimated that around 1.3 billion people, roughly 16% of the global population, live with some form of disability, which can be physical, auditory, visual, intellectual, or psychosocial (mental). To help this group overcome daily functional lim...

  • Article
  • Open Access
70 Views
21 Pages

Spectral Ripples in Normal and Electric Hearing Models

  • Savine S. M. Martens,
  • Jeroen J. Briaire and
  • Johan H. M. Frijns

Devising a psychophysical test to assess spectral resolution has not been easy. Two tests that have been used previously are the spectral ripple test and the spectral-temporally modulated ripple test (SMRT). Over time, questions have been raised abou...

  • Article
  • Open Access
453 Views
36 Pages

The growing need for sustainable energy practices necessitates technology-driven interventions that can effectively bridge the disparity between consumer intentions and actual behavior. This paper formulates and empirically substantiates an IoT-enabl...

  • Article
  • Open Access
612 Views
19 Pages

By increasing the number of vehicles, an intelligent parking system can help drivers in finding parking slots by providing real-time information. To address this issue, this study developed an Arduino-based automated parking system integrating sensor...

  • Article
  • Open Access
211 Views
21 Pages

Enhancing Migraine Classification Through Machine Learning: A Comparative Study of Ensemble Methods

  • Raniya R. Sarra,
  • Ayad E. Korial,
  • Ivan Isho Gorial and
  • Amjad J. Humaidi

A migraine is a common and complex neurological disorder affecting more than 90% of people globally. Traditional migraine diagnostic and classification methods are time-intensive and prone to error. In today’s world, where health and technology...

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Technologies - ISSN 2227-7080