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Computers, Volume 11, Issue 9

2022 September - 16 articles

Cover Story: We present how artificial intelligence (AI)-based technologies create new opportunities to capture and assess sensory marketing elements. Based on the Online Sensory Marketing Index (OSMI), a sensory assessment framework designed to evaluate e-commerce websites manually, the goal is to offer an alternative procedure to assess sensory elements such as text and images automatically. This approach aims to provide marketing managers with valuable insights and potential for sensory marketing improvements. View this paper
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Articles (16)

  • Article
  • Open Access
5 Citations
5,709 Views
13 Pages

Measuring Impact of Dependency Injection on Software Maintainability

  • Peter Sun,
  • Dae-Kyoo Kim,
  • Hua Ming and
  • Lunjin Lu

18 September 2022

Dependency injection (DI) is generally known to improve maintainability by keeping application classes separate from the library. Particularly within the Java environment, there are many applications using the principles of DI with the aim to improve...

(This article belongs to the Special Issue Feature Paper in Computers)
  • Article
  • Open Access
18 Citations
4,470 Views
16 Pages

16 September 2022

Iris recognition as a biometric identification method is one of the most reliable biometric human identification methods. It exploits the distinctive pattern of the iris area. Typically, several steps are performed for iris recognition, namely, pre-p...

(This article belongs to the Special Issue Artificial Intelligence Models, Tools and Applications with A Social and Semantic Impact)
  • Article
  • Open Access
12 Citations
4,834 Views
32 Pages

Drone Deployment Algorithms for Effective Communication Establishment in Disaster Affected Areas

  • Bivin Varkey Varghese,
  • Paravurumbel Sreedharan Kannan,
  • Ravilal Soni Jayanth,
  • Johns Thomas and
  • Kavum Muriyil Balachandran Shibu Kumar

15 September 2022

Communication establishment is crucial for rescue operations in disaster affected areas. A standard tool for communication is the use of cell phones. However, they can be useless in situations where the cellular network’s base stations are dama...

  • Article
  • Open Access
1 Citations
1,829 Views
18 Pages

15 September 2022

The paper presents the results of an experimental investigation and statistical analysis of the data streams generated by popular Internet services. It is found that every investigated Internet service generates data streams of a specific type, posse...

  • Article
  • Open Access
3 Citations
3,861 Views
18 Pages

14 September 2022

Vulnerability lifecycles and the vulnerability markets are related in a manner that can lead to serious security and economic risks, especially regarding black markets. In the current era, this is a relationship that requires careful scrutiny from so...

  • Article
  • Open Access
153 Citations
11,287 Views
14 Pages

Predicting Breast Cancer from Risk Factors Using SVM and Extra-Trees-Based Feature Selection Method

  • Ganjar Alfian,
  • Muhammad Syafrudin,
  • Imam Fahrurrozi,
  • Norma Latif Fitriyani,
  • Fransiskus Tatas Dwi Atmaji,
  • Tri Widodo,
  • Nurul Bahiyah,
  • Filip Benes and
  • Jongtae Rhee

12 September 2022

Developing a prediction model from risk factors can provide an efficient method to recognize breast cancer. Machine learning (ML) algorithms have been applied to increase the efficiency of diagnosis at the early stage. This paper studies a support ve...

(This article belongs to the Special Issue Human Understandable Artificial Intelligence)
  • Review
  • Open Access
99 Citations
21,670 Views
19 Pages

Vertical Farming Perspectives in Support of Precision Agriculture Using Artificial Intelligence: A Review

  • Riki Ruli A. Siregar,
  • Kudang Boro Seminar,
  • Sri Wahjuni and
  • Edi Santosa

8 September 2022

Vertical farming is a new agricultural system which aims to utilize the limited access to land, especially in big cities. Vertical agriculture is the answer to meet the challenges posed by land and water shortages, including urban agriculture with li...

(This article belongs to the Special Issue Survey in Deep Learning for IoT Applications)
  • Article
  • Open Access
3,612 Views
10 Pages

8 September 2022

Face swapping technology is approaching maturity, and it is difficult to distinguish between real images and fake images. In order to prevent malicious face swapping and ensure the privacy and security of personal photos, we propose a new way to disa...

(This article belongs to the Special Issue Multimodal Pattern Recognition of Social Signals in HCI)
  • Article
  • Open Access
20 Citations
10,458 Views
23 Pages

On Predicting Soccer Outcomes in the Greek League Using Machine Learning

  • Marios-Christos Malamatinos,
  • Eleni Vrochidou and
  • George A. Papakostas

31 August 2022

The global expansion of the sports betting industry has brought the prediction of outcomes of sport events into the foreground of scientific research. In this work, soccer outcome prediction methods are evaluated, focusing on the Greek Super League....

(This article belongs to the Special Issue Human Understandable Artificial Intelligence)
  • Review
  • Open Access
4 Citations
4,898 Views
19 Pages

Traditional vs. Modern Data Paths: A Comprehensive Survey

  • Ahmad Barghash,
  • Lina Hammad and
  • Ammar Gharaibeh

31 August 2022

Recently, many new network paths have been introduced while old paths are still in use. The trade-offs remain vague and should be further addressed. Since last decade, the Internet is playing a major role in people’s lives, and the demand on th...

(This article belongs to the Section Cloud Continuum and Enabled Applications)
  • Project Report
  • Open Access
3 Citations
4,098 Views
29 Pages

Development of a Self-diagnostic System Integrated into a Cyber-Physical System

  • Domingos F. Oliveira,
  • João P. Gomes,
  • Ricardo B. Pereira,
  • Miguel A. Brito and
  • Ricardo J. Machado

29 August 2022

CONTROLAR provides Bosch with an intelligent functional testing machine used to test the correct functioning of the car radios produced. During this process, the radios are submitted to several tests, raising the problem of how the machine detects er...

(This article belongs to the Special Issue Computational Science and Its Applications 2022)
  • Article
  • Open Access
7 Citations
5,930 Views
16 Pages

29 August 2022

The aim of the research work is to investigate the operability of the entire 23 pulmonary function parameters, which are stipulated by the American Thoracic Society (ATS) and the European Respiratory Society (ERS), to design a medical decision suppor...

(This article belongs to the Special Issue Advances of Machine and Deep Learning in the Health Domain)
  • Article
  • Open Access
3 Citations
5,799 Views
17 Pages

26 August 2022

We present how artificial intelligence (AI)-based technologies create new opportunities to capture and assess sensory marketing elements. Based on the Online Sensory Marketing Index (OSMI), a sensory assessment framework designed to evaluate e-commer...

(This article belongs to the Special Issue Artificial Intelligence Models, Tools and Applications with A Social and Semantic Impact)
  • Article
  • Open Access
12 Citations
9,016 Views
23 Pages

A Framework for Knowledge Management System Adoption in Small and Medium Enterprises

  • Werner Richardt van Zyl,
  • Sanchen Henning and
  • John Andrew van der Poll

25 August 2022

Knowledge is a key competitive advantage for small and medium enterprises (SMEs) as a way of competing with other organisations. There is a need to investigate SME adoption of knowledge management systems (KMSs). Knowledge management systems can only...

(This article belongs to the Special Issue Computing, Electrical and Industrial Systems 2022)
  • Article
  • Open Access
71 Citations
10,093 Views
15 Pages

Factors Affecting Response Rates of the Web Survey with Teachers

  • Konstantinos Lavidas,
  • Antonia Petropoulou,
  • Stamatios Papadakis,
  • Zoi Apostolou,
  • Vassilis Komis,
  • Athanassios Jimoyiannis and
  • Vasilis Gialamas

24 August 2022

Although web survey has been a popular method of data collection in the academic community, it presents meagre response rates, which primarily affect the validity of the results as well as the reliability of the outcomes. Surveys worldwide that study...

(This article belongs to the Special Issue Interactive Technology and Smart Education)
  • Article
  • Open Access
38 Citations
6,521 Views
18 Pages

Deep Learning Ensemble Model for the Prediction of Traffic Accidents Using Social Media Data

  • Camilo Gutierrez-Osorio,
  • Fabio A. González and
  • Cesar Augusto Pedraza

23 August 2022

Traffic accidents are a major concern worldwide, since they have a significant impact on people’s safety, health, and well-being, and thus, they constitute an important field of research on the use of state-of-the-art techniques and algorithms...

(This article belongs to the Special Issue Machine Learning for Traffic Modeling and Prediction)
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Computers - ISSN 2073-431X