You are currently viewing a new version of our website. To view the old version click .

Information, Volume 12, Issue 11

November 2021 - 54 articles

Cover Story: Vehicular ad hoc networks (VANETs) are basic support for intelligent transportation systems, enabling communication among multiple road entities and fostering the development of new applications and services aimed at enhancing driving experience and increasing road safety. These are complex networks with highly demanding characteristics that pose great challenges to the implementation of security mechanisms, creating vulnerabilities that are easily exploitable by attackers. In this work, an intelligent hierarchical security framework is proposed. It makes use of machine learning algorithms to enhance attack detection and defines methods for secure communications among entities, ensuring strong authentication, privacy, and anonymity. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (54)

  • Article
  • Open Access
29 Citations
23,648 Views
17 Pages

The Impact of Social Media Activities on Brand Equity

  • Ra’ed Masa’deh,
  • Shafig AL-Haddad,
  • Dana Al Abed,
  • Hadeel Khalil,
  • Lina AlMomani and
  • Taghreed Khirfan

18 November 2021

This study aims to investigate the impact of Social Media Activities on brand equity (brand awareness and brand image). A cross-sectional quantitative study has been conducted using a validated questionnaire distributed to a convenience sample of 362...

  • Article
  • Open Access
56 Citations
8,529 Views
21 Pages

17 November 2021

A significant problem in Massive Open Online Courses (MOOCs) is the high rate of student dropout in these courses. An effective student dropout prediction model of MOOC courses can identify the factors responsible and provide insight on how to initia...

  • Article
  • Open Access
2 Citations
2,641 Views
13 Pages

Revolutions Take Time

  • Peter Wittenburg and
  • George Strawn

16 November 2021

The 2018 paper titled “Common Patterns in Revolutionary Infrastructures and Data” has been cited frequently, since we compared the current discussions about research data management with the developments of large infrastructures in the past believing...

  • Article
  • Open Access
8 Citations
3,922 Views
27 Pages

Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing

  • Patrik Zajec,
  • Jože M. Rožanec,
  • Elena Trajkova,
  • Inna Novalija,
  • Klemen Kenda,
  • Blaž Fortuna and
  • Dunja Mladenić

16 November 2021

This research work describes an architecture for building a system that guides a user from a forecast generated by a machine learning model through a sequence of decision-making steps. The system is demonstrated in a manufacturing demand forecasting...

  • Article
  • Open Access
49 Citations
5,117 Views
19 Pages

16 November 2021

In response to the difficulty of plant leaf disease detection and classification, this study proposes a novel plant leaf disease detection method called deep block attention SSD (DBA_SSD) for disease identification and disease degree classification o...

  • Article
  • Open Access
9 Citations
7,823 Views
15 Pages

16 November 2021

This study aimed to explore communication techniques based on the information and communication technology (ICT) used in the implementation of instructional supervision to determine their effect on the teacher’s learning process and find effective te...

  • Article
  • Open Access
3 Citations
2,517 Views
17 Pages

15 November 2021

The public bicycle system is an important component of “mobility as a service” and has become increasingly popular in recent years. To provide a better understanding of the station activity and driving mechanisms of public bicycle systems, the study...

  • Feature Paper
  • Article
  • Open Access
13 Citations
4,010 Views
14 Pages

Severity Assessment and Progression Prediction of COVID-19 Patients Based on the LesionEncoder Framework and Chest CT

  • You-Zhen Feng,
  • Sidong Liu,
  • Zhong-Yuan Cheng,
  • Juan C. Quiroz,
  • Dana Rezazadegan,
  • Ping-Kang Chen,
  • Qi-Ting Lin,
  • Long Qian,
  • Xiao-Fang Liu and
  • Shlomo Berkovsky
  • + 4 authors

15 November 2021

Automatic severity assessment and progression prediction can facilitate admission, triage, and referral of COVID-19 patients. This study aims to explore the potential use of lung lesion features in the management of COVID-19, based on the assumption...

  • Article
  • Open Access
6 Citations
2,952 Views
19 Pages

12 November 2021

In this study, Call Detail Records (CDRs) covering Budapest for the month of June in 2016 were analyzed. During this observation period, the 2016 UEFA European Football Championship took place, which significantly affected the habit of the residents...

  • Article
  • Open Access
2 Citations
2,653 Views
14 Pages

12 November 2021

Communication over doubly selective channels (both time and frequency selective) suffers from significant intercarrier interference (ICI). This problem is severe in underwater acoustic communications. In this paper, a novel partial fractional (PFrFT)...

of 6

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Information - ISSN 2078-2489