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Information, Volume 14, Issue 8

August 2023 - 47 articles

Cover Story: Bullying and cyberbullying are intentional, repetitive actions aimed at causing harm, with far-reaching consequences for individuals and society. The BullyBuster project takes a novel approach by combining AI techniques with psychological models to tackle these issues comprehensively. The project enables timely intervention and minimizes harm by automatically identifying harmful content and analyzing linguistic patterns in various data sources, such as photos and videos. This paper presents the culmination of prior research, demonstrating how AI classifiers can significantly enhance cyberbullying detection and prevention. The framework offers a promising solution to the pervasive problem of cyberbullying. View this paper
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Articles (47)

  • Article
  • Open Access
3,080 Views
14 Pages

15 August 2023

We present the InterviewBot, which dynamically integrates conversation history and customized topics into a coherent embedding space to conduct 10 min hybrid-domain (open and closed) conversations with foreign students applying to U.S. colleges to as...

  • Article
  • Open Access
14 Citations
3,047 Views
16 Pages

A Service-Efficient Proxy Mobile IPv6 Extension for IoT Domain

  • Habib Ullah Khan,
  • Anwar Hussain,
  • Shah Nazir,
  • Farhad Ali,
  • Muhammad Zubair Khan and
  • Inam Ullah

14 August 2023

The upcoming generation of communications can provide richer mobility, high data rate, reliable security, better quality of services, and supporting mobility requirements in the Internet of Things (IoT) environment. Integrating modern communication w...

  • Article
  • Open Access
4 Citations
3,050 Views
24 Pages

A Novel Approach of Resource Allocation for Distributed Digital Twin Shop-Floor

  • Haijun Zhang,
  • Qiong Yan,
  • Yan Qin,
  • Shengwei Chen and
  • Guohui Zhang

13 August 2023

Facing global market competition and supply chain risks, many production companies are leaning towards distributed manufacturing because of their ability to utilize a network of manufacturing resources located around the world. Deriving from informat...

  • Article
  • Open Access
6 Citations
2,367 Views
14 Pages

13 August 2023

To improve the randomness of the Chebyshev chaotic sequences by coupling the Logistic map and the Chebyshev map, a new one-dimensional Logistic–Chebyshev chaotic map (LCCM) is first presented in this paper. Several tests, including the bifurcat...

  • Article
  • Open Access
6 Citations
4,501 Views
14 Pages

Assessing the Security and Privacy of Android Official ID Wallet Apps

  • Vasileios Kouliaridis,
  • Georgios Karopoulos and
  • Georgios Kambourakis

13 August 2023

With the increasing use of smartphones for a wide variety of online services, states and countries are issuing official applications to store government-issued documents that can be used for identification (e.g., electronic identity cards), health (e...

  • Article
  • Open Access
2 Citations
2,722 Views
15 Pages

12 August 2023

The problem of orthogonal waveform construction in multiple input/multiple output (MIMO) radar communication integration greatly limits the realization of integration technology. In the unmanned aerial vehicle (UAV) MIMO antenna scenario, an orthogon...

  • Article
  • Open Access
12 Citations
9,594 Views
18 Pages

11 August 2023

The food and beverage (FOODBEV) manufacturing industry is a significant contributor to global economic development, but it is also subject to major global competition. Manufacturing technology evolution is rapid and, with the Fourth Industrial Revolu...

  • Article
  • Open Access
3 Citations
4,349 Views
17 Pages

10 August 2023

Right from the beginning, attendance has played an important role in the education systems, not only in student success but in the overall interest of the matter. Although all schools try to accentuate good attendance, still some schools find it hard...

  • Article
  • Open Access
1 Citations
1,735 Views
13 Pages

Modeling the Biocatalytic Method of Lipid Extraction Using Artificial Neural Networks

  • Anton V. Shafrai,
  • Alexander Yu. Prosekov and
  • Elena A. Vechtomova

9 August 2023

The paper presents the data on lipid fraction extraction from the raw fat of hibernating hunting animals. The processing of valuable raw materials must be maximized. For this purpose, various methods of rendering are used. As a result of temperature...

  • Article
  • Open Access
10 Citations
3,672 Views
27 Pages

EVCA Classifier: A MCMC-Based Classifier for Analyzing High-Dimensional Big Data

  • Eleni Vlachou,
  • Christos Karras,
  • Aristeidis Karras,
  • Dimitrios Tsolis and
  • Spyros Sioutas

9 August 2023

In this work, we introduce an innovative Markov Chain Monte Carlo (MCMC) classifier, a synergistic combination of Bayesian machine learning and Apache Spark, highlighting the novel use of this methodology in the spectrum of big data management and en...

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Information - ISSN 2078-2489