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Informatics, Volume 8, Issue 1

2021 March - 20 articles

Cover Story: This paper introduces the imperative role that the concept of augmented/intelligent Enterprise Systems plays in safeguarding organizations from the quoted problems. The topic is set to establish the foundational arguments on the imperative need of transforming the Enterprise Systems architecture status quo through intelligent augmentation using Deep Learning (namely, Siamese-LSTM in this example); Shed light on the importance of machine learning and what we call Deep Learning Representational Frameworks (DL-ReFrams); Present research directions that discuss sociotechnical research frontiers that need to be addressed by both academics and practitioners. View this paper.
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Articles (20)

  • Article
  • Open Access
2 Citations
3,731 Views
13 Pages

The Rare Word Issue in Natural Language Generation: A Character-Based Solution

  • Giovanni Bonetta,
  • Marco Roberti,
  • Rossella Cancelliere and
  • Patrick Gallinari

In this paper, we analyze the problem of generating fluent English utterances from tabular data, focusing on the development of a sequence-to-sequence neural model which shows two major features: the ability to read and generate character-wise, and t...

  • Article
  • Open Access
55 Citations
8,449 Views
15 Pages

Opinion mining techniques, investigating if text is expressing a positive or negative opinion, continuously gain in popularity, attracting the attention of many scientists from different disciplines. Specific use cases, however, where the expressed o...

  • Review
  • Open Access
52 Citations
17,853 Views
13 Pages

Measuring Digital Citizenship: A Comparative Analysis

  • Juan Sebastián Fernández-Prados,
  • Antonia Lozano-Díaz and
  • Alexandra Ainz-Galende

This paper aims at showing a state of the art about digital citizenship from the methodological point of view when it comes to measuring this construct. The review of the scientific literature offers at least ten definitions and nine different scales...

  • Feature Paper
  • Article
  • Open Access
16 Citations
5,820 Views
18 Pages

Estimating Freeway Level-of-Service Using Crowdsourced Data

  • Nima Hoseinzadeh,
  • Yangsong Gu,
  • Lee D. Han,
  • Candace Brakewood and
  • Phillip B. Freeze

In traffic operations, the aim of transportation agencies and researchers is typically to reduce congestion and improve safety. To attain these goals, agencies need continuous and accurate information about the traffic situation. Level-of-Service (LO...

  • Review
  • Open Access
60 Citations
12,213 Views
12 Pages

Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review

  • Mahanazuddin Syed,
  • Shorabuddin Syed,
  • Kevin Sexton,
  • Hafsa Bareen Syeda,
  • Maryam Garza,
  • Meredith Zozus,
  • Farhanuddin Syed,
  • Salma Begum,
  • Abdullah Usama Syed and
  • Fred Prior
  • + 1 author

Modern Intensive Care Units (ICUs) provide continuous monitoring of critically ill patients susceptible to many complications affecting morbidity and mortality. ICU settings require a high staff-to-patient ratio and generates a sheer volume of data....

  • Review
  • Open Access
4 Citations
4,484 Views
23 Pages

Organizational Strategies for End-User Development—A Systematic Literature Mapping

  • Augusto S. C. Modesto,
  • Rejane M. da C. Figueiredo,
  • Cristiane S. Ramos,
  • Letícia de S. Santos,
  • Elaine Venson and
  • Glauco V. Pedrosa

In the last few years, several organizations have been looking for strategies to meet the needs of users of Information Technology (IT). The decentralization of IT and the empowerment of nonprofessional users have been a viable option among these str...

  • Feature Paper
  • Article
  • Open Access
15 Citations
4,211 Views
15 Pages

On Blockchain-Based Cross-Service Communication and Resource Orchestration on Edge Clouds

  • Konstantinos Papadakis-Vlachopapadopoulos,
  • Ioannis Dimolitsas,
  • Dimitrios Dechouniotis,
  • Eirini Eleni Tsiropoulou,
  • Ioanna Roussaki and
  • Symeon Papavassiliou

With the advent of 5G verticals and the Internet of Things paradigm, Edge Computing has emerged as the most dominant service delivery architecture, placing augmented computing resources in the proximity of end users. The resource orchestration of edg...

  • Article
  • Open Access
3 Citations
4,564 Views
14 Pages

Rational models of human behavior aim to predict, possibly control, humans. There are two primary models, the cognitive model that treats behavior as implicit, and the behavioral model that treats beliefs as implicit. The cognitive model reigned supr...

  • Review
  • Open Access
20 Citations
11,957 Views
31 Pages

Visual Analytics for Electronic Health Records: A Review

  • Neda Rostamzadeh,
  • Sheikh S. Abdullah and
  • Kamran Sedig

The increasing use of electronic health record (EHR)-based systems has led to the generation of clinical data at an unprecedented rate, which produces an untapped resource for healthcare experts to improve the quality of care. Despite the growing dem...

  • Feature Paper
  • Article
  • Open Access
3 Citations
6,045 Views
29 Pages

Transforming the state-of-the-art definition and anatomy of enterprise systems (ESs) seems to some academics and practitioners as an unavoidable destiny. Value depletion lead by early retirement and/or replacement of ESs solutions has been a constant...

  • Article
  • Open Access
14 Citations
8,152 Views
16 Pages

Cochrane produces independent research to improve healthcare decisions. It translates its research summaries into different languages to enable wider access, relying largely on volunteers. Machine translation (MT) could facilitate efficiency in Cochr...

  • Article
  • Open Access
105 Citations
11,218 Views
22 Pages

Windows PE Malware Detection Using Ensemble Learning

  • Nureni Ayofe Azeez,
  • Oluwanifise Ebunoluwa Odufuwa,
  • Sanjay Misra,
  • Jonathan Oluranti and
  • Robertas Damaševičius

In this Internet age, there are increasingly many threats to the security and safety of users daily. One of such threats is malicious software otherwise known as malware (ransomware, Trojans, viruses, etc.). The effect of this threat can lead to loss...

  • Article
  • Open Access
7 Citations
4,728 Views
14 Pages

Factors Driving Users’ Engagement in Patient Social Network Systems

  • Ira Puspitasari,
  • Shukor Sanim Mohd Fauzi and
  • Cheng-Yuan Ho

Participatory medicine and e-health help to promote health literacy among non-medical professionals. Users of e-health systems actively participate in a patient social network system (PSNS) to share health information and experiences with other users...

  • Article
  • Open Access
42 Citations
10,630 Views
17 Pages

Social Media Adoption by Health Professionals: A TAM-Based Study

  • Md Irfanuzzaman Khan,
  • M Abu Saleh and
  • Ali Quazi

This research identifies the underlying drivers impacting on healthcare professionals’ social media usage behaviours using the technology acceptance model (TAM) as the theoretical lens. A self-administered survey questionnaire was developed and admin...

  • Article
  • Open Access
15 Citations
5,674 Views
27 Pages

We identify a number of aspects that can boost the performance of Neural Fuzzy Repair (NFR), an easy-to-implement method to integrate translation memory matches and neural machine translation (NMT). We explore various ways of maximising the added val...

  • Feature Paper
  • Article
  • Open Access
9 Citations
4,950 Views
14 Pages

The evolution of digital advertising, which is aimed at a mass audience, to programmatic advertising, which is aimed at individual users depending on their profile, has raised concerns about the use of personal data and invasion of user privacy on th...

  • Article
  • Open Access
3 Citations
4,269 Views
13 Pages

Thai Tattoo Wisdom’s Representation of Knowledge by Ontology

  • Wirapong Chansanam,
  • Kulthida Tuamsuk,
  • Kanyarat Kwiecien,
  • Kittiya Sutthiprapa and
  • Thepchai Supnithi

Sak Yan Ontology (SYO) models knowledge derived from Thai tattoos in the design of cultural heritage preservation planning. Ontology Development 101 is a technique of ontology model creation. The aims of this study are to share the performance of ont...

  • Article
  • Open Access
10 Citations
5,275 Views
16 Pages

Deep Full-Body HPE for Activity Recognition from RGB Frames Only

  • Sameh Neili Boualia and
  • Najoua Essoukri Ben Amara

Human Pose Estimation (HPE) is defined as the problem of human joints’ localization (also known as keypoints: elbows, wrists, etc.) in images or videos. It is also defined as the search for a specific pose in space of all articulated joints. HP...

  • Article
  • Open Access
1 Citations
4,402 Views
31 Pages

In geography, the concept of “rhizome” provides a theoretical tool to conceive the way people move in space in terms of “mobility networks”: the space lived by people is delimited and characterized on the basis of both the pla...

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Informatics - ISSN 2227-9709