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Information, Volume 15, Issue 5

May 2024 - 48 articles

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Cover Story: The Dynamic Distributed Constraint Optimisation Problem (D-DCOP) framework has enabled the development of proactive decision-making methods for multi-agent systems. Existing approaches, like Proactive Dynamic DCOP algorithms, rely on known environment models. This paper tackles proactive behaviour in D-DCOPs with unknown dynamics, proposing that agents learn autoregressive models from shared temporal experiences to predict future states. The proposed method employs a temporal experience-sharing message-passing algorithm, utilising dynamic agent connections and a distance metric for data collation. Experimental results using the RoboCup Rescue Simulation show that the proposed method achieves better total building damage when combined with decision-switching costs than baseline methods. View this paper

Articles (48)

  • Article
  • Open Access
4 Citations
3,062 Views
16 Pages

Lightweight convolutional neural networks are widely used for face detection due to their ability to learn local representations through spatial induction bias and translational invariance. However, convolutional face detectors have limitations in de...

  • Article
  • Open Access
1,632 Views
18 Pages

NDNOTA: NDN One-Time Authentication

  • Manar Aldaoud,
  • Dawood Al-Abri,
  • Firdous Kausar and
  • Medhat Awadalla

Named Data Networking (NDN) stands out as a prominent architectural framework for the future Internet, aiming to address deficiencies present in IP networks, specifically in the domain of security. Although NDN packets containing requested content ar...

  • Article
  • Open Access
1 Citations
1,629 Views
21 Pages

Technoeconomic Analysis for Deployment of Gait-Oriented Wearable Medical Internet-of-Things Platform in Catalonia

  • Marc Codina,
  • David Castells-Rufas,
  • Maria-Jesus Torrelles and
  • Jordi Carrabina

The Internet of Medical Things (IoMT) extends the concept of eHealth and mHealth for patients with continuous monitoring requirements. This research concentrates on the use of wearable devices based on the use of inertial measurement units (IMUs) tha...

  • Article
  • Open Access
2,404 Views
25 Pages

A measurement performed on a quantum system is an act of gaining information about its state. However, in the foundations of quantum theory, the concept of information is multiply defined, particularly in the area of quantum reconstruction, and its c...

  • Article
  • Open Access
1,707 Views
16 Pages

Telehealth-Based Information Retrieval and Extraction for Analysis of Clinical Characteristics and Symptom Patterns in Mild COVID-19 Patients

  • Edison Jahaj,
  • Parisis Gallos,
  • Melina Tziomaka,
  • Athanasios Kallipolitis,
  • Apostolos Pasias,
  • Christos Panagopoulos,
  • Andreas Menychtas,
  • Ioanna Dimopoulou,
  • Anastasia Kotanidou and
  • Ilias Maglogiannis
  • + 1 author

Clinical characteristics of COVID-19 patients have been mostly described in hospitalised patients, yet most are managed in an outpatient setting. The COVID-19 pandemic transformed healthcare delivery models and accelerated the implementation and adop...

  • Article
  • Open Access
5 Citations
4,017 Views
15 Pages

In recent years, many deep learning-based object detection methods have performed well in various applications, especially in large-scale object detection. However, when detecting small targets, previous object detection algorithms cannot achieve goo...

  • Article
  • Open Access
3 Citations
5,635 Views
28 Pages

Aim: Biofields combine many physiological levels, both spatially and temporally. These biofields reflect naturally resonant forms of synaptic energy reflected in growing and spreading waves of brain activity. This study aims to theoretically understa...

  • Article
  • Open Access
4 Citations
1,921 Views
16 Pages

Optimizing Energy Efficiency in Opportunistic Networks: A Heuristic Approach to Adaptive Cluster-Based Routing Protocol

  • Meisam Sharifi Sani,
  • Saeid Iranmanesh,
  • Hamidreza Salarian,
  • Faisel Tubbal and
  • Raad Raad

Opportunistic Networks (OppNets) are characterized by intermittently connected nodes with fluctuating performance. Their dynamic topology, caused by node movement, activation, and deactivation, often relies on controlled flooding for routing, leading...

  • Article
  • Open Access
3 Citations
1,952 Views
19 Pages

Security and efficiency remain a serious concern for Internet of Things (IoT) environments due to the resource-constrained nature and wireless communication. Traditional schemes are based on the main mathematical operations, including pairing, pairin...

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Information - ISSN 2078-2489Creative Common CC BY license