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Informatics, Volume 8, Issue 4

2021 December - 26 articles

Cover Story: In humanoid robotics, eyes are commonly made from glass or acrylic, making them appear cold and lifeless. The novel robotic eyes presented in this study are the first to have pupils that respond to both light and emotion using machine learning and an artificial muscle made from graphene. The artificial muscle is coated in a colourised 3D printed gelatine iris to simulate the materiality and appearance of the human eye. The robotic eyes were trained using pupillometry data taken from human test subjects when observing positive and negative video stimulus and high and low light. The results show that the robotic eyes are capable of operating within the natural range of human pupils in response to light and emotion. View this paper.
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Articles (26)

  • Article
  • Open Access
6 Citations
8,188 Views
21 Pages

Useful information can be provided by 2.5D maps that can take advantage of the additional dimension. However, aside from stereoscopic landmarks, optimal methods for presenting other essential information is unclear. Two experiments were conducted to...

  • Concept Paper
  • Open Access
2 Citations
5,359 Views
17 Pages

The evolution of technology in clinical environments increases the level of precision in patient care, as well as optimizes the management of healthcare centers. However, the need to have information systems that are more sophisticated and require in...

(This article belongs to the Section Medical and Clinical Informatics)
  • Article
  • Open Access
3 Citations
3,731 Views
24 Pages

Searching Deterministic Chaotic Properties in System-Wide Vulnerability Datasets

  • Ioannis Tsantilis,
  • Thomas K. Dasaklis,
  • Christos Douligeris and
  • Constantinos Patsakis

Cybersecurity is a never-ending battle against attackers, who try to identify and exploit misconfigurations and software vulnerabilities before being patched. In this ongoing conflict, it is important to analyse the properties of the vulnerability ti...

(This article belongs to the Special Issue Feature Paper in Informatics)
  • Feature Paper
  • Article
  • Open Access
4 Citations
4,759 Views
15 Pages

In this paper, we study the controllability of an Expressive TTS system trained on a dataset for a continuous control. The dataset is the Blizzard 2013 dataset based on audiobooks read by a female speaker containing a great variability in styles and...

(This article belongs to the Section Human-Computer Interaction)
  • Feature Paper
  • Article
  • Open Access
37 Citations
8,837 Views
16 Pages

Fault Detection of Bearing: An Unsupervised Machine Learning Approach Exploiting Feature Extraction and Dimensionality Reduction

  • Lucas Costa Brito,
  • Gian Antonio Susto,
  • Jorge Nei Brito and
  • Marcus Antonio Viana Duarte

The monitoring of rotating machinery is an essential activity for asset management today. Due to the large amount of monitored equipment, analyzing all the collected signals/features becomes an arduous task, leading the specialist to rely often on ge...

(This article belongs to the Special Issue Exclusive Papers Collection of Editorial Board Members and Scholars Invited by Editorial Board Members of Informatics)
  • Article
  • Open Access
73 Citations
31,047 Views
21 Pages

The Effectiveness of Online Platforms after the Pandemic: Will Face-to-Face Classes Affect Students’ Perception of Their Behavioural Intention (BIU) to Use Online Platforms?

  • Rana Saeed Al-Maroof,
  • Noha Alnazzawi,
  • Iman A. Akour,
  • Kevin Ayoubi,
  • Khadija Alhumaid,
  • Nafla Mahdi AlAhbabi,
  • Maryam Alnnaimi,
  • Sarah Thabit,
  • Raghad Alfaisal and
  • Said Salloum
  • + 1 author

The purpose of this study is to investigate students’ intention to continue using online learning platforms during face-to-face traditional classes in a way that is parallel to their usage during online virtual classes (during the pandemic). Th...

(This article belongs to the Special Issue Managing the Consequences of the COVID-19 in the Every-Day Working, Learning, and Interacting Life)
  • Article
  • Open Access
6 Citations
4,598 Views
14 Pages

Metadata Schema for Folktales in the Mekong River Basin

  • Kanyarat Kwiecien,
  • Wirapong Chansanam,
  • Thepchai Supnithi,
  • Jaturong Chitiyaphol and
  • Kulthida Tuamsuk

The aim of this study was to analyze the content, context, and structure of folktales from the Mekong River Basin, and to develop a metadata schema for data description and folktale storage. The research was conducted using the MAAT metadata lifecycl...

(This article belongs to the Section Social Informatics and Digital Humanities)
  • Article
  • Open Access
71 Citations
21,956 Views
22 Pages

Inefficient and ineffective practices in the construction industry have hindered productivity even though it is considered as one of the largest sectors in any county. One best solution to overcome these inherent problems in the construction industry...

(This article belongs to the Special Issue Building Smart Cities and Infrastructures for a Sustainable Future)
  • Article
  • Open Access
42 Citations
24,793 Views
19 Pages

The Role of Social Media in Raising Public Health Awareness during the Pandemic COVID-19: An International Comparative Study

  • Mohammad Yousef Abuhashesh,
  • Hani Al-Dmour,
  • Ra’ed Masa’deh,
  • Amer Salman,
  • Rand Al-Dmour,
  • Monika Boguszewicz-Kreft and
  • Qout Nidal AlAmaireh

The main objective of this research is to investigate the role of social media campaigns (the type of social media platform, type of message, and message source sender) in raising public health awareness and behavioral change during (COVID-19) as a g...

(This article belongs to the Special Issue Managing the Consequences of the COVID-19 in the Every-Day Working, Learning, and Interacting Life)
  • Article
  • Open Access
42 Citations
8,389 Views
12 Pages

Literature Review of Deep Network Compression

  • Ali Alqahtani,
  • Xianghua Xie and
  • Mark W. Jones

Deep networks often possess a vast number of parameters, and their significant redundancy in parameterization has become a widely-recognized property. This presents significant challenges and restricts many deep learning applications, making the focu...

(This article belongs to the Special Issue Feature Paper in Informatics)
  • Article
  • Open Access
382 Citations
26,400 Views
21 Pages

Hyperparameter Tuning for Machine Learning Algorithms Used for Arabic Sentiment Analysis

  • Enas Elgeldawi,
  • Awny Sayed,
  • Ahmed R. Galal and
  • Alaa M. Zaki

Machine learning models are used today to solve problems within a broad span of disciplines. If the proper hyperparameter tuning of a machine learning classifier is performed, significantly higher accuracy can be obtained. In this paper, a comprehens...

(This article belongs to the Section Big Data Mining and Analytics)
  • Article
  • Open Access
1 Citations
5,765 Views
21 Pages

As social media has shifted from traditional to modern technical patterns, organizations have sought to take advantage of the presence of beneficiaries on social networks. They may serve customers, display ads, and respond to queries on social media...

(This article belongs to the Section Big Data Mining and Analytics)
  • Review
  • Open Access
26 Citations
8,086 Views
13 Pages

Literature Review of Machine-Learning Algorithms for Pressure Ulcer Prevention: Challenges and Opportunities

  • Fernando Ribeiro,
  • Filipe Fidalgo,
  • Arlindo Silva,
  • José Metrôlho,
  • Osvaldo Santos and
  • Rogério Dionisio

Pressure ulcers are associated with significant morbidity, resulting in a decreased quality of life for the patient, and contributing to healthcare professional burnout, as well as an increase of health service costs. Their prompt diagnosis and treat...

(This article belongs to the Section Health Informatics)
  • Article
  • Open Access
12 Citations
8,793 Views
24 Pages

This article aims to improve the secondary distribution process in a mass consumer company implementing technologies, such as transport management system (TMS) to achieve the objectives set by the company. A DMAIC based methodology is proposed to def...

(This article belongs to the Section Industry 4.0)
  • Feature Paper
  • Review
  • Open Access
41 Citations
22,349 Views
22 Pages

Information Technology Adoption on Digital Marketing: A Literature Review

  • Fátima Figueiredo,
  • Maria José Angélico Gonçalves and
  • Sandrina Teixeira

Data generation is currently expanding at an astonishing pace, and the function of marketing is becoming increasingly sophisticated and customized. Companies seek to understand their internal corporate environment and externalities and to exponential...

(This article belongs to the Special Issue Big Data Analytics, AI and Machine Learning in Marketing)
  • Article
  • Open Access
33 Citations
10,651 Views
24 Pages

Machine Learning and IoT Applied to Cardiovascular Diseases Identification through Heart Sounds: A Literature Review

  • Ivo Sérgio Guimarães Brites,
  • Lídia Martins da Silva,
  • Jorge Luis Victória Barbosa,
  • Sandro José Rigo,
  • Sérgio Duarte Correia and
  • Valderi Reis Quietinho Leithardt

This article presents a systematic mapping study dedicated to conduct a literature review on machine learning and IoT applied in the identification of diseases through heart sounds. This research was conducted between January 2010 and July 2021, cons...

(This article belongs to the Special Issue Feature Papers: Health Informatics)
  • Article
  • Open Access
13 Citations
9,571 Views
24 Pages

COVID-19 Contact Tracing and Detection-Based on Blockchain Technology

  • Mohamed Torky,
  • Essam Goda,
  • Vaclav Snasel and
  • Aboul Ella Hassanien

The fight against the COVID-19 pandemic still involves many struggles and challenges. The greatest challenge that most governments are currently facing is the lack of a precise, accurate, and automated mechanism for detecting and tracking new COVID-1...

  • Article
  • Open Access
8 Citations
4,850 Views
26 Pages

Today’s computing is based on the classic paradigm proposed by John von Neumann, three-quarters of a century ago. That paradigm, however, was justified for (the timing relations of) vacuum tubes only. The technological development invalidated the cla...

  • Article
  • Open Access
33 Citations
8,925 Views
20 Pages

Computer Vision and Machine Learning for Tuna and Salmon Meat Classification

  • Erika Carlos Medeiros,
  • Leandro Maciel Almeida and
  • José Gilson de Almeida Teixeira Filho

Aquatic products are popular among consumers, and their visual quality used to be detected manually for freshness assessment. This paper presents a solution to inspect tuna and salmon meat from digital images. The solution proposes hardware and a pro...

(This article belongs to the Special Issue Applications of Machine Learning and Deep Learning in Agriculture)
  • Article
  • Open Access
78 Citations
9,950 Views
13 Pages

Arabic Offensive and Hate Speech Detection Using a Cross-Corpora Multi-Task Learning Model

  • Wassen Aldjanabi,
  • Abdelghani Dahou,
  • Mohammed A. A. Al-qaness,
  • Mohamed Abd Elaziz,
  • Ahmed Mohamed Helmi and
  • Robertas Damaševičius

As social media platforms offer a medium for opinion expression, social phenomena such as hatred, offensive language, racism, and all forms of verbal violence have increased spectacularly. These behaviors do not affect specific countries, groups, or...

(This article belongs to the Special Issue Feature Paper in Informatics)
  • Article
  • Open Access
11 Citations
6,499 Views
13 Pages

Identifying Benchmarks for Failure Prediction in Industry 4.0

  • Mouhamadou Saliou Diallo,
  • Sid Ahmed Mokeddem,
  • Agnès Braud,
  • Gabriel Frey and
  • Nicolas Lachiche

Industry 4.0 is characterized by the availability of sensors to operate the so-called intelligent factory. Predictive maintenance, in particular, failure prediction, is an important issue to cut the costs associated with production breaks. We studied...

(This article belongs to the Section Machine Learning)
  • Article
  • Open Access
29 Citations
11,447 Views
19 Pages

This study examines the experience of marketing departments to become fully data-driven decision-making organizations. We evaluate an organic approach of departmental sensemaking and an administered approach by which top management increase the influ...

(This article belongs to the Special Issue Big Data Analytics, AI and Machine Learning in Marketing)
  • Article
  • Open Access
12 Citations
5,066 Views
10 Pages

To avoid problems related to a school bus service such as kidnapping, children being left in a bus for hours leading to fatality, etc., it is important to have a reliable transportation service to ensure students’ safety along journeys. This research...

(This article belongs to the Section Big Data Mining and Analytics)
  • Concept Paper
  • Open Access
23 Citations
5,386 Views
13 Pages

Towards AI-Enabled Multimodal Diagnostics and Management of COVID-19 and Comorbidities in Resource-Limited Settings

  • Olawande Daramola,
  • Peter Nyasulu,
  • Tivani Mashamba-Thompson,
  • Thomas Moser,
  • Sean Broomhead,
  • Ameera Hamid,
  • Jaishree Naidoo,
  • Lindiwe Whati,
  • Maritha J. Kotze and
  • Victor Chukwudi Osamor
  • + 1 author

A conceptual artificial intelligence (AI)-enabled framework is presented in this study involving triangulation of various diagnostic methods for management of coronavirus disease 2019 (COVID-19) and its associated comorbidities in resource-limited se...

(This article belongs to the Section Health Informatics)
  • Article
  • Open Access
4 Citations
10,078 Views
19 Pages

This study employs a novel 3D engineered robotic eye system with dielectric elastomer actuator (DEA) pupils and a 3D sculpted and colourised gelatin iris membrane to replicate the appearance and materiality of the human eye. A camera system for facia...

(This article belongs to the Section Human-Computer Interaction)
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Informatics - ISSN 2227-9709