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Dick Carrillo Melgarejo

Researcher at Lappeenranta University of Technology

Publications -  22
Citations -  186

Dick Carrillo Melgarejo is an academic researcher from Lappeenranta University of Technology. The author has contributed to research in topics: Computer science & Wireless. The author has an hindex of 4, co-authored 12 publications receiving 34 citations.

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Journal ArticleDOI

Intrusion Detection System Based on Fast Hierarchical Deep Convolutional Neural Network

TL;DR: In this article, a novel intrusion detection system (IDS) based on the Tree-CNN hierarchical algorithm with the Soft-Root-Sign (SRS) activation function is proposed, which reduces the training time of the generated model for detecting DDoS, Infiltration, Brute Force, and Web attacks.
Journal ArticleDOI

Key Advances in Pervasive Edge Computing for Industrial Internet of Things in 5G and Beyond

TL;DR: This article surveys emerging technologies related to pervasive edge computing for industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond communication networks and reinforces the perspective that the PEC paradigm is an extremely suitable and important deployment model for industrial communication networks.
Proceedings ArticleDOI

Reconfigurable Intelligent Surface-Aided Grant-Free Access for Uplink URLLC

TL;DR: An RIS-aided grant-free access scheme combined with advanced receivers is shown to be a well-suited option for uplink URLLC and the gains of this approach in terms of reliability, resource efficiency, and capacity are demonstrated.
Journal ArticleDOI

Neurosciences and Wireless Networks: The Potential of Brain-Type Communications and Their Applications

TL;DR: In this article, the authors present a comprehensive tutorial on a promising research field located at the frontier of two well-established domains, neurosciences and wireless communications, motivated by the ongoing efforts to define the Sixth Generation of Mobile Networks (6G).
Journal ArticleDOI

Intelligent Hello Dissemination Model for FANET Routing Protocols

TL;DR: An intelligent Hello dissemination model, AI-Hello, based on reinforcement learning algorithms, that adapts the hello message interval scheme is proposed to produce a dense reward structure, and facilitating the network learning.