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Informatics, Volume 9, Issue 4

December 2022 - 29 articles

Cover Story: Accurately distinguishing malignant tumors from benign ones enables patients to receive lifesaving treatments on time. However, doctors currently do not identify 10% to 30% of breast cancers during regular assessment. We propose an automated method for binary classification of breast cancer tumors as either malignant or benign that utilizes a Bag of Deep Multi-Resolution Convolutional Features (BoDMCF) extracted from histopathological images at four resolutions (40X, 100X, 200X and 400X) by three pre-trained state-of-the-art deep CNN models: ResNet-50, EfficientNetb0, and Inception-v3. The BoDMCF were pooled using global average pooling and classified using the Support Vector Machine (SVM) classifier. The proposed approach outperforms the prior state of the art. View this paper
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Articles (29)

  • Article
  • Open Access
23 Citations
6,605 Views
22 Pages

This paper presents research on the topic of virtual reality (VR) applications. It conducts a quantitative analysis of virtual reality applications available in the international market using the example of a digital platform, which was the Steam pla...

  • Review
  • Open Access
4 Citations
3,759 Views
14 Pages

A Survey on Computer-Aided Intelligent Methods to Identify and Classify Skin Cancer

  • Jacinth Poornima Jeyakumar,
  • Anitha Jude,
  • Asha Gnana Priya and
  • Jude Hemanth

Melanoma is one of the skin cancer types that is more dangerous to human society. It easily spreads to other parts of the human body. An early diagnosis is necessary for a higher survival rate. Computer-aided diagnosis (CAD) is suitable for providing...

  • Article
  • Open Access
26 Citations
13,286 Views
18 Pages

Smartphone Usage before and during COVID-19: A Comparative Study Based on Objective Recording of Usage Data

  • Khansa Chemnad,
  • Sameha Alshakhsi,
  • Mohamed Basel Almourad,
  • Majid Altuwairiqi,
  • Keith Phalp and
  • Raian Ali

Most studies that claimed changes in smartphone usage during COVID-19 were based on self-reported usage data, e.g., that collected through a questionnaire. These studies were also limited to reporting the overall smartphone usage, with no detailed in...

  • Article
  • Open Access
10 Citations
8,178 Views
28 Pages

OA-Pain-Sense: Machine Learning Prediction of Hip and Knee Osteoarthritis Pain from IMU Data

  • Wafaa Salem Almuhammadi,
  • Emmanuel Agu,
  • Jean King and
  • Patricia Franklin

Joint pain is a prominent symptom of Hip and Knee Osteoarthritis (OA), impairing patients’ movements and affecting the joint mechanics of walking. Self-report questionnaires are currently the gold standard for Hip OA and Knee OA pain assessment...

  • Article
  • Open Access
7 Citations
4,295 Views
15 Pages

CerealNet: A Hybrid Deep Learning Architecture for Cereal Crop Mapping Using Sentinel-2 Time-Series

  • Mouad Alami Machichi,
  • Loubna El Mansouri,
  • Yasmina Imani,
  • Omar Bourja,
  • Rachid Hadria,
  • Ouiam Lahlou,
  • Samir Benmansour,
  • Yahya Zennayi and
  • François Bourzeix

Remote sensing-based crop mapping has continued to grow in economic importance over the last two decades. Given the ever-increasing rate of population growth and the implications of multiplying global food production, the necessity for timely, accura...

  • Article
  • Open Access
7 Citations
4,888 Views
22 Pages

A Benefit Dependency Network for Shadow Information Technology Adoption, Based on Practitioners’ Viewpoints

  • Isaias Scalabrin Bianchi,
  • António Vaquina,
  • Ruben Pereira,
  • Rui Dinis Sousa and
  • Guillermo Antonio Dávila

Shadow information technology (SIT) revolves around systems that are hidden but are still managed by the same business entities. It consists of the use of devices, software, systems and applications without the information technology (IT) department&...

  • Article
  • Open Access
6 Citations
5,376 Views
22 Pages

Crypto, non-fungible tokens (NFTs), and the metaverse have taken a massive place in our daily conversations and are highly valued. Moreover, NFTs range from luxury fashion to art, and sound is no exception, although it still needs to be explored. Cou...

  • Article
  • Open Access
9 Citations
4,047 Views
15 Pages

Examining the Factors Influencing E-Tax Declaration Usage among Academics’ Taxpayers in Jordan

  • Hamzah Al-Mawali,
  • Abdul Rahman Al Natour,
  • Hala Zaidan,
  • Farah Shishan and
  • Ghaleb Abu Rumman

Purpose: This research attempts to profoundly understand the factors influencing the usage of e-tax declarations. Design/methodology/approach: In a cross-sectional survey, partial least square-structural equation modeling (PLS-SEM) is used to examine...

  • Article
  • Open Access
12 Citations
4,728 Views
28 Pages

Breast Cancer Tumor Classification Using a Bag of Deep Multi-Resolution Convolutional Features

  • David Clement,
  • Emmanuel Agu,
  • John Obayemi,
  • Steve Adeshina and
  • Wole Soboyejo

Breast cancer accounts for 30% of all female cancers. Accurately distinguishing dangerous malignant tumors from benign harmless ones is key to ensuring patients receive lifesaving treatments on time. However, as doctors currently do not identify 10%...

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Informatics - ISSN 2227-9709