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Information, Volume 11, Issue 8

August 2020 - 30 articles

Cover Story: Current intermodal freight transport is not as efficient as it could be. Often, an empty container needs to be transported from the empty container depot to the shipper, and, conversely, an empty container needs to be transported from the receiver to the empty container depot. These empty movements decrease the freight carrier’s profit, as well as add negative externalities to the environment. To this end, a binary integer-linear programming model is developed to determine each freight carrier’s optimal schedule while minimizing its operating cost. The model ensures that the cost for each carrier with collaboration is less than or equal to its cost without collaboration. It also ensures that average savings from the collaboration are shared equally among all participating carriers. View this paper
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Articles (30)

  • Article
  • Open Access
16 Citations
6,361 Views
23 Pages

Preventative Nudges: Introducing Risk Cues for Supporting Online Self-Disclosure Decisions

  • Nicolás E. Díaz Ferreyra,
  • Tobias Kroll,
  • Esma Aïmeur,
  • Stefan Stieglitz and
  • Maritta Heisel

18 August 2020

Like in the real world, perceptions of risk can influence the behavior and decisions that people make in online platforms. Users of Social Network Sites (SNSs) like Facebook make continuous decisions about their privacy since these are spaces designe...

  • Article
  • Open Access
3 Citations
5,814 Views
35 Pages

18 August 2020

The use of information age technology favors pervasive communication exchanges and complex phenomenologies, which affect the production of knowledge and the permanent transformation of personalities and contexts, not always with a view to prosocial e...

  • Article
  • Open Access
2 Citations
3,208 Views
10 Pages

17 August 2020

One of the aims of the Secondary Education Certificate (SEC) Physics syllabus is “to provide the basis for further study of the subject”. This research determined the extent to which the syllabus is fulfilling this aim. In this study, sev...

  • Article
  • Open Access
12 Citations
4,107 Views
17 Pages

15 August 2020

In many nations, limited power from providers and an increase in demand for electricity have created new opportunities that can be used by home energy management systems (HEMSs) systems to enforce proper use of energy. This paper presents a virtual i...

  • Article
  • Open Access
35 Citations
17,920 Views
14 Pages

15 August 2020

Technological development at the turn of the 20th and 21st centuries determined the possibilities of communication. Internet access has resulted in the rapid development of social media, bringing together users from around the world. Social media aff...

  • Article
  • Open Access
5 Citations
3,699 Views
11 Pages

12 August 2020

With the rapid development of cloud computing, massive data are transferred to cloud servers for storage and management savings. For privacy concerns, data should be encrypted before being uploaded. In the encrypted-domain (ED), however, many data co...

  • Article
  • Open Access
2 Citations
5,223 Views
13 Pages

Quantitative Cluster Headache Analysis for Neurological Diagnosis Support Using Statistical Classification

  • Mohammed El-Yaagoubi,
  • Inmaculada Mora-Jiménez,
  • Younes Jabrane,
  • Sergio Muñoz-Romero,
  • José Luis Rojo-Álvarez and
  • Juan Antonio Pareja-Grande

10 August 2020

Cluster headache (CH) belongs to the group III of The International Classification of Headaches. It is characterized by attacks of severe pain in the ocular/periocular area accompanied by cranial autonomic signs, including parasympathetic activation...

  • Article
  • Open Access
46 Citations
10,858 Views
12 Pages

Deep Learning for Facial Beauty Prediction

  • Kerang Cao,
  • Kwang-nam Choi,
  • Hoekyung Jung and
  • Lini Duan

10 August 2020

Facial beauty prediction (FBP) is a burgeoning issue for attractiveness evaluation, which aims to make assessment consistent with human opinion. Since FBP is a regression problem, to handle this issue, there are data-driven methods for finding the re...

  • Article
  • Open Access
27 Citations
8,794 Views
14 Pages

8 August 2020

With the rapid increase in the popularity of big data and internet technology, sequential recommendation has become an important method to help people find items they are potentially interested in. Traditional recommendation methods use only recurren...

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Information - ISSN 2078-2489