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Applied System Innovation, Volume 4, Issue 1

March 2021 - 23 articles

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Articles (23)

  • Feature Paper
  • Article
  • Open Access
1 Citations
3,918 Views
13 Pages

In this study, the required capabilities and key element technologies of smart underground ammunition storage were analyzed using the Delphi technique. Twenty-four external experts on industry 4.0 smart technology were selected. A total of 18 require...

  • Feature Paper
  • Article
  • Open Access
56 Citations
7,337 Views
20 Pages

A Comparative Analysis of Active Learning for Biomedical Text Mining

  • Usman Naseem,
  • Matloob Khushi,
  • Shah Khalid Khan,
  • Kamran Shaukat and
  • Mohammad Ali Moni

An enormous amount of clinical free-text information, such as pathology reports, progress reports, clinical notes and discharge summaries have been collected at hospitals and medical care clinics. These data provide an opportunity of developing many...

  • Article
  • Open Access
6 Citations
4,833 Views
23 Pages

Recent studies on chronic obstructive pulmonary disease (COPD) patients in the context of the coronavirus 19 (COVID-19) pandemic have reported two important problems, i.e., high mortality and vulnerability among COPD patients vs. non-COPD patients. T...

  • Article
  • Open Access
9 Citations
4,613 Views
35 Pages

Quality Properties of Execution Tracing, an Empirical Study

  • Tamas Galli,
  • Francisco Chiclana and
  • Francois Siewe

The quality of execution tracing impacts the time to a great extent to locate errors in software components; moreover, execution tracing is the most suitable tool, in the majority of the cases, for doing postmortem analysis of failures in the field....

  • Feature Paper
  • Article
  • Open Access
33 Citations
4,439 Views
12 Pages

Hydrothermal Carbonization of Lemon Peel Waste: Preliminary Results on the Effects of Temperature during Process Water Recirculation

  • Antonio Picone,
  • Maurizio Volpe,
  • Maria Gabriella Giustra,
  • Gaetano Di Bella and
  • Antonio Messineo

Hydrothermal carbonization (HTC) is a promising thermochemical pre-treatment to convert waste biomass into solid biofuels. However, the process yields large amounts of organic process water (PW), which must be properly disposed of or reused. In this...

  • Feature Paper
  • Article
  • Open Access
110 Citations
12,379 Views
12 Pages

Real-world datasets are heavily skewed where some classes are significantly outnumbered by the other classes. In these situations, machine learning algorithms fail to achieve substantial efficacy while predicting these underrepresented instances. To...

  • Article
  • Open Access
31 Citations
8,461 Views
17 Pages

Efficient Market Hypothesis states that stock prices are a reflection of all the information present in the world and generating excess returns is not possible by merely analysing trade data which is already available to all public. Yet to further th...

  • Article
  • Open Access
11 Citations
9,350 Views
10 Pages

Treatment and Effective Utilization of Greywater: A Preliminary Case Study

  • Sneha Gautam,
  • Lakshmi M. Makhitha,
  • Anirudh Gupta,
  • J. Brema,
  • E. J. James and
  • Gajendran Chellaiah

Greywater has been identified as a valuable alternative water source over recent years. Few practices (i.e., recycling and reuse) of greywater have attracted global attention in meeting the future water demand. However, essential parameters should be...

  • Article
  • Open Access
42 Citations
10,603 Views
20 Pages

Health Information Systems (HIS) are becoming crucial for health providers, not only for keeping Electronic Health Records (EHR) but also because of the features they provide that can be lifesaving, thanks to the advances in Information Technology (I...

  • Feature Paper
  • Article
  • Open Access
42 Citations
15,214 Views
22 Pages

Text Mining of Stocktwits Data for Predicting Stock Prices

  • Mukul Jaggi,
  • Priyanka Mandal,
  • Shreya Narang,
  • Usman Naseem and
  • Matloob Khushi

Stock price prediction can be made more efficient by considering the price fluctuations and understanding people’s sentiments. A limited number of models understand financial jargon or have labelled datasets concerning stock price change. To overcome...

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Appl. Syst. Innov. - ISSN 2571-5577