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Informatics, Volume 9, Issue 4

2022 December - 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
26 Citations
7,311 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
3,994 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
28 Citations
14,538 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
12 Citations
8,770 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
9 Citations
4,693 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
5,437 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
5,731 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
4,486 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
5,035 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%...

  • Article
  • Open Access
2 Citations
3,393 Views
10 Pages

Evaluation of the Efficiency of Regional Airports Using Data Envelopment Analysis

  • Diana María Montoya-Quintero,
  • Olga Lucía Larrea-Serna and
  • Jovani Alberto Jiménez-Builes

Background: Small regional airports provide the necessary assistance to enable mobility in isolated areas where access is critical and costly due to poor road infrastructure and geographic constraints. Colombia’s air transportation industry has...

  • Review
  • Open Access
64 Citations
21,603 Views
29 Pages

Smart City Applications to Promote Citizen Participation in City Management and Governance: A Systematic Review

  • David Bastos,
  • Antonio Fernández-Caballero,
  • António Pereira and
  • Nelson Pacheco Rocha

This systematic review aimed to provide a comprehensive view of (1) the purposes of research studies using smart city infrastructures to promote citizen participation in the cities’ management and governance, (2) the characteristics of the prop...

  • Article
  • Open Access
13 Citations
11,894 Views
30 Pages

Development of a Chatbot for Pregnant Women on a Posyandu Application in Indonesia: From Qualitative Approach to Decision Tree Method

  • Indriana Widya Puspitasari,
  • Fedri Ruluwedrata Rinawan,
  • Wanda Gusdya Purnama,
  • Hadi Susiarno and
  • Ari Indra Susanti

With the widespread application of digital healthcare, mobile health (mHealth) services are also developing in maternal and child health, primarily through community-based services, such as Posyandu in Indonesia. Patients need media for consultation...

  • Article
  • Open Access
1 Citations
2,952 Views
18 Pages

Noise in requirements has been known to be a defect in software requirements specifications (SRS). Detecting defects at an early stage is crucial in the process of software development. Noise can be in the form of irrelevant requirements that are inc...

  • Article
  • Open Access
19 Citations
21,570 Views
16 Pages

Factors Influencing the Use of Digital Marketing by Small and Medium-Sized Enterprises during COVID-19

  • Maria Camila Bermeo-Giraldo,
  • Alejandro Valencia-Arias,
  • Javier D. Ramos de Rosas,
  • Martha Benjumea-Arias and
  • Juan Amilcar Villanueva Calderón

This study aims to identify the factors that influence the use of digital marketing by SMEs in Medellín during COVID-19, proposing five factors that influence the use of these digital tools by 120 SMEs in Medellín, Colombia. The researc...

  • Article
  • Open Access
8 Citations
4,175 Views
17 Pages

Using Random Ordering in User Experience Testing to Predict Final User Satisfaction

  • Kitti Koonsanit,
  • Daiki Hiruma,
  • Vibol Yem and
  • Nobuyuki Nishiuchi

In user experience evaluation (UXE), it is generally accepted that the order in which users perform tasks when using a product is often random rather than fixed. UXE based on these so-called randomly ordered tasks is challenging. Although several art...

  • Article
  • Open Access
5 Citations
3,847 Views
14 Pages

EduTubers’s Pedagogical Best Practices and Their Theoretical Foundation

  • Cynthia Pasquel-López and
  • Gabriel Valerio-Ureña

(1) Background: The COVID-19 pandemic forced educational institutions to radically change their teaching and learning methods. Many institutions found it a challenge when they opted to deliver classes online. Given the success of several EduTubers, t...

  • Article
  • Open Access
9 Citations
4,538 Views
16 Pages

Decision Tree Modeling for Osteoporosis Screening in Postmenopausal Thai Women

  • Bunjira Makond,
  • Pornsarp Pornsawad and
  • Kittisak Thawnashom

Osteoporosis is still a serious public health issue in Thailand, particularly in postmenopausal women; meanwhile, new effective screening tools are required for rapid diagnosis. This study constructs and confirms an osteoporosis screening tool-based...

  • Article
  • Open Access
2 Citations
5,243 Views
15 Pages

Baseball is a sport that involves a large number of statistics, which are often displayed during broadcast events to show the players’ performance levels. With the advent of big data, the amount and types of data used in broadcasts have increas...

  • Article
  • Open Access
44 Citations
10,406 Views
24 Pages

Interacting with a Chatbot-Based Advising System: Understanding the Effect of Chatbot Personality and User Gender on Behavior

  • Mohammad Amin Kuhail,
  • Justin Thomas,
  • Salwa Alramlawi,
  • Syed Jawad Hussain Shah and
  • Erik Thornquist

Chatbots with personality have been shown to affect engagement and user subjective satisfaction. Yet, the design of most chatbots focuses on functionality and accuracy rather than an interpersonal communication style. Existing studies on personality-...

  • Article
  • Open Access
27 Citations
6,332 Views
17 Pages

Machine Learning Applied to Tree Crop Yield Prediction Using Field Data and Satellite Imagery: A Case Study in a Citrus Orchard

  • Abdellatif Moussaid,
  • Sanaa El Fkihi,
  • Yahya Zennayi,
  • Ouiam Lahlou,
  • Ismail Kassou,
  • François Bourzeix,
  • Loubna El Mansouri and
  • Yasmina Imani

The overall goal of this study is to define an intelligent system for predicting citrus fruit yield before the harvest period. This system uses a machine learning algorithm trained on historical field data combined with spectral information extracted...

  • Article
  • Open Access
15 Citations
6,741 Views
13 Pages

Assessing Usability of Smartwatch Digital Health Devices for Home Blood Pressure Monitoring among Glaucoma Patients

  • Sonali B. Bhanvadia,
  • Manreet S. Brar,
  • Arash Delavar,
  • Kiana Tavakoli,
  • Bharanidharan Radha Saseendrakumar,
  • Robert N. Weinreb,
  • Linda M. Zangwill and
  • Sally L. Baxter

Glaucoma is a leading cause of blindness worldwide. Blood pressure (BP) dysregulation is a known risk factor, and home-based BP monitoring is increasingly used, but the usability of digital health devices to measure BP among glaucoma patients is not...

  • Article
  • Open Access
2 Citations
4,179 Views
13 Pages

Meteorological Data Warehousing and Analysis for Supporting Air Navigation

  • Georgia Garani,
  • Dionysios Papadatos,
  • Sotiris Kotsiantis and
  • Vassilios S. Verykios

Data analysis of weather phenomena to either predict or control human imprint on the environment requires the collection of various forms of observational data ranging from historical and longitudinal to forecast. The objective of this research paper...

  • Article
  • Open Access
4 Citations
8,978 Views
12 Pages

With advances in science and technology and changes in industry, research on promising future technologies has emerged as important. Furthermore, with the advent of a ubiquitous and smart environment, governments and enterprises are required to predi...

  • Article
  • Open Access
55 Citations
18,197 Views
18 Pages

Classification of Malaria Using Object Detection Models

  • Padmini Krishnadas,
  • Krishnaraj Chadaga,
  • Niranjana Sampathila,
  • Santhosha Rao,
  • Swathi K. S. and
  • Srikanth Prabhu

Malaria poses a global health problem every day, as it affects millions of lives all over the world. A traditional diagnosis requires the manual inspection of blood smears from the patient under a microscope to check for the malaria parasite. This is...

  • Review
  • Open Access
91 Citations
22,380 Views
32 Pages

Exploring Immersive Learning Experiences: A Survey

  • Mohammad Amin Kuhail,
  • Areej ElSayary,
  • Shahbano Farooq and
  • Ahlam Alghamdi

Immersive technologies have been shown to significantly improve learning as they can simplify and simulate complicated concepts in various fields. However, there is a lack of studies that analyze the recent evidence-based immersive learning experienc...

  • Article
  • Open Access
11 Citations
9,085 Views
16 Pages

Posyandu Application in Indonesia: From Health Informatics Data Quality Bridging Bottom-Up and Top-Down Policy Implementation

  • Afina Faza,
  • Fedri Ruluwedrata Rinawan,
  • Kuswandewi Mutyara,
  • Wanda Gusdya Purnama,
  • Dani Ferdian,
  • Ari Indra Susanti,
  • Didah Didah,
  • Noormarina Indraswari and
  • Siti Nur Fatimah

The community’s mother and child health (MCH) and nutrition problems can be overcome through evidence-based health policy. Posyandu is an implementation of community empowerment in health promotion strategies. The iPosyandu application (app) is...

  • Article
  • Open Access
24 Citations
14,655 Views
22 Pages

A Visual Data Storytelling Framework

  • Yangjinbo Zhang,
  • Mark Reynolds,
  • Artur Lugmayr,
  • Katarina Damjanov and
  • Ghulam Mubashar Hassan

While the consumption of visual information becomes a daily commodity integrated into our lives, data visualisation is dominated by dashboards and charts. The main contribution of this article is an advanced way to visualise data as a data story. We...

  • Article
  • Open Access
5 Citations
5,230 Views
16 Pages

Semantic Annotation of Legal Contracts with ContrattoA

  • Michele Soavi,
  • Nicola Zeni,
  • John Mylopoulos and
  • Luisa Mich

The aim of the research is to semi-automate the process of generating formal specifications from legal contracts in natural language text form. Towards this end, the paper presents a tool, named ContrattoA, that semi-automatically conducts semantic a...

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Informatics - ISSN 2227-9709