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Most Cited

  • Article
  • Open Access
78 Citations
11,999 Views
26 Pages

A Distinctive Explainable Machine Learning Framework for Detection of Polycystic Ovary Syndrome

  • Varada Vivek Khanna,
  • Krishnaraj Chadaga,
  • Niranajana Sampathila,
  • Srikanth Prabhu,
  • Venkatesh Bhandage and
  • Govardhan K. Hegde

Polycystic Ovary Syndrome (PCOS) is a complex disorder predominantly defined by biochemical hyperandrogenism, oligomenorrhea, anovulation, and in some cases, the presence of ovarian microcysts. This endocrinopathy inhibits ovarian follicle developmen...

  • Article
  • Open Access
52 Citations
16,324 Views
18 Pages

The field of health and medical sciences has witnessed a surge of published research exploring the applications of ChatGPT. However, there remains a dearth of knowledge regarding its specific potential and limitations within the domain of nutrition....

  • Review
  • Open Access
50 Citations
7,562 Views
14 Pages

Bibliometric Trends in Industry 5.0 Research: An Updated Overview

  • Dag Øivind Madsen,
  • Terje Berg and
  • Mario Di Nardo

The emergence of Industry 5.0 took place in the mid-2010s, presenting a novel vision for the future of an industry that places emphasis on human involvement in the production process. Following the outbreak of the COVID-19 pandemic, there has been a...

  • Review
  • Open Access
48 Citations
18,296 Views
30 Pages

This narrative review synthesizes and analyzes empirical studies on the adoption and acceptance of ChatGPT in higher education, addressing the need to understand the key factors influencing its use by students and educators. Anchored in theoretical f...

  • Article
  • Open Access
39 Citations
12,616 Views
24 Pages

29 September 2023

The utilization of data mining techniques for the prompt prediction of academic success has gained significant importance in the current era. There is an increasing interest in utilizing these methodologies to forecast the academic performance of stu...

  • Review
  • Open Access
37 Citations
16,167 Views
20 Pages

Advances and Challenges in IoT-Based Smart Drug Delivery Systems: A Comprehensive Review

  • Amisha S. Raikar,
  • Pramod Kumar,
  • Gokuldas (Vedant) S. Raikar and
  • Sandesh N. Somnache

In the current era of technology, the internet of things (IoT) plays a vital role in smart drug delivery systems. It is an emerging field that offers promising solutions for improving the efficacy, safety, and patient compliance of drug therapies. Io...

  • Review
  • Open Access
37 Citations
16,638 Views
17 Pages

Bioenergy production from waste is one of the emerging and viable routes from renewable resources (in addition to wind and solar energy). Many developing countries can benefit from this as they are trying to solve the large amounts of unattended garb...

  • Article
  • Open Access
34 Citations
10,016 Views
16 Pages

Industrial control systems (ICSs) play a crucial role in managing and monitoring critical processes across various industries, such as manufacturing, energy, and water treatment. The connection of equipment from various manufacturers, complex communi...

  • Article
  • Open Access
33 Citations
3,065 Views
15 Pages

Earthquake Hazard Mitigation for Uncertain Building Systems Based on Adaptive Synergetic Control

  • Ayad Q. Al-Dujaili,
  • Amjad J. Humaidi,
  • Ziyad T. Allawi and
  • Musaab E. Sadiq

This study presents an adaptive control scheme based on synergetic control theory for suppressing the vibration of building structures due to earthquake. The control key for the proposed controller is based on a magneto-rheological (MR) damper, which...

  • Review
  • Open Access
33 Citations
21,749 Views
38 Pages

Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers

  • Nils Hütten,
  • Miguel Alves Gomes,
  • Florian Hölken,
  • Karlo Andricevic,
  • Richard Meyes and
  • Tobias Meisen

Quality assessment in industrial applications is often carried out through visual inspection, usually performed or supported by human domain experts. However, the manual visual inspection of processes and products is error-prone and expensive. It is...

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Appl. Syst. Innov. - ISSN 2571-5577