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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
5 Citations
6,890 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
4,252 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...

  • Article
  • Open Access
2 Citations
3,375 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...

  • Feature Paper
  • Article
  • Open Access
3 Citations
4,338 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...

  • Feature Paper
  • Article
  • Open Access
27 Citations
7,376 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...

  • Article
  • Open Access
71 Citations
29,551 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...

  • Article
  • Open Access
4 Citations
4,101 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...

  • Article
  • Open Access
56 Citations
18,600 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...

  • Article
  • Open Access
38 Citations
23,226 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...

  • Article
  • Open Access
38 Citations
7,770 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...

  • Article
  • Open Access
326 Citations
24,403 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...

  • Article
  • Open Access
1 Citations
5,427 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...

  • Review
  • Open Access
24 Citations
7,100 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...

  • Article
  • Open Access
10 Citations
7,707 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...

  • Feature Paper
  • Review
  • Open Access
36 Citations
20,392 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...

  • Article
  • Open Access
31 Citations
9,374 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...

  • Article
  • Open Access
13 Citations
9,030 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
6 Citations
4,051 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
24 Citations
7,571 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...

  • Article
  • Open Access
71 Citations
8,685 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...

  • Article
  • Open Access
10 Citations
5,868 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...

  • Article
  • Open Access
23 Citations
9,922 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...

  • Article
  • Open Access
10 Citations
4,502 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...

  • Concept Paper
  • Open Access
22 Citations
4,973 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...

  • Article
  • Open Access
2 Citations
8,067 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...

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Informatics - ISSN 2227-9709