You are currently viewing a new version of our website. To view the old version click .

Technologies, Volume 11, Issue 5

October 2023 - 38 articles

Cover Story: A new deep neural model called MS-CNN has been developed, and this model has achieved state-of-the-art accuracy (96.05%) in classifying six lung diseases from chest X-ray images. MS-CNN is evaluated on a dataset of 6650 chest X-ray images, outperforms previously reported models and could help in improving early diagnosis and treatment for patients with various lung diseases. The research also showed that MS-CNN can explain its predictions using techniques such as SHAP and Grad-CAM, which could help clinicians in better understanding how the model is making its decisions. The findings of this study suggest that MS-CNN has the potential to revolutionize the diagnosis of lung diseases. The model could be made available to clinicians in the near future, and it could have a significant impact on the lives of patients with lung diseases. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (38)

  • Article
  • Open Access
3,338 Views
30 Pages

With the rapid expansion of the Internet of Things (IoT), the necessity for lightweight communication is also increasing due to the constrained capabilities of IoT devices. This paper presents the design of a novel lightweight protocol called the Enh...

  • Article
  • Open Access
1 Citations
2,170 Views
14 Pages

An environmentally friendly alkaline electrolyte of silicate and borate, which contained the addition of carbohydrates (lactose, starch, and dextrin), was applied to produce micro-arc oxidation (MAO) coatings on AZ31B magnesium alloy surfaces in cons...

  • Concept Paper
  • Open Access
2 Citations
2,428 Views
10 Pages

Heuristic Weight Initialization for Diagnosing Heart Diseases Using Feature Ranking

  • Musulmon Lolaev,
  • Shraddha M. Naik,
  • Anand Paul and
  • Abdellah Chehri

The advent of Artificial Intelligence (AI) has had a broad impact on life to solve various tasks. Building AI models and integrating them with modern technologies is a central challenge for researchers. These technologies include wearables and implan...

  • Article
  • Open Access
7 Citations
4,529 Views
22 Pages

Effect of PLGA Concentration in Electrospinning Solution on Biocompatibility, Morphology and Mechanical Properties of Nonwoven Scaffolds

  • Arsalan D. Badaraev,
  • Tuan-Hoang Tran,
  • Anastasia G. Drozd,
  • Evgenii V. Plotnikov,
  • Gleb E. Dubinenko,
  • Anna I. Kozelskaya,
  • Sven Rutkowski and
  • Sergei I. Tverdokhlebov

In this work, the effects of weight concentration on the properties of poly(lactide-co-glycolide) polymeric scaffolds prepared by electrospinning are investigated, using four different weight concentrations of poly(lactide-co-glycolide) for the elect...

  • Article
  • Open Access
3 Citations
3,308 Views
16 Pages

Nanotechnologies are being increasingly widely used in advanced energy fields. Triboelectric nanogenerators (TENGs) represent a class of new-type flexible energy-harvesting devices with promising application prospects in future human societies. As on...

  • Article
  • Open Access
4 Citations
2,989 Views
13 Pages

The persistent threat posed by infectious pathogens remains a formidable challenge for humanity. Rapidly spreading infectious diseases caused by airborne microorganisms have far-reaching global consequences, imposing substantial costs on society. Whi...

  • Article
  • Open Access
32 Citations
6,170 Views
42 Pages

Multi-Scale CNN: An Explainable AI-Integrated Unique Deep Learning Framework for Lung-Affected Disease Classification

  • Ovi Sarkar,
  • Md. Robiul Islam,
  • Md. Khalid Syfullah,
  • Md. Tohidul Islam,
  • Md. Faysal Ahamed,
  • Mominul Ahsan and
  • Julfikar Haider

Lung-related diseases continue to be a leading cause of global mortality. Timely and precise diagnosis is crucial to save lives, but the availability of testing equipment remains a challenge, often coupled with issues of reliability. Recent research...

  • Article
  • Open Access
4 Citations
3,539 Views
16 Pages

Malware propagation is a growing concern due to its potential impact on the security and integrity of connected devices in Internet of Things (IoT) network environments. This study investigates parameter estimation for Susceptible-Infectious-Recovere...

  • Article
  • Open Access
2 Citations
4,159 Views
15 Pages

The compression of data is fundamental to alleviating the costs of transmitting and storing massive datasets employed in myriad fields of our society. Most compression systems employ an entropy coder in their coding pipeline to remove the redundancy...

  • Article
  • Open Access
13 Citations
3,615 Views
26 Pages

Optimal Integration of Machine Learning for Distinct Classification and Activity State Determination in Multiple Sclerosis and Neuromyelitis Optica

  • Maha Gharaibeh,
  • Wlla Abedalaziz,
  • Noor Aldeen Alawad,
  • Hasan Gharaibeh,
  • Ahmad Nasayreh,
  • Mwaffaq El-Heis,
  • Maryam Altalhi,
  • Agostino Forestiero and
  • Laith Abualigah

The intricate neuroinflammatory diseases multiple sclerosis (MS) and neuromyelitis optica (NMO) often present similar clinical symptoms, creating challenges in their precise detection via magnetic resonance imaging (MRI). This challenge is further co...

of 4

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Technologies - ISSN 2227-7080