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Akademický článek

Using Triple Modular Redundancy for Threshold Determination in DDOS Intrusion Detection Systems

Autor: Aleksa N. Maksimovic, Vojkan R. Nikolic, Dejan V. Vidojevic, Milan D. Randjelovic, Slavisa M. Djukanovic, Dragan M. Randjelovic

Publikováno v: IEEE Access, Vol 12, Pp 53785-53804 (2024)

This paper describes an Intrusion Detection System (IDS) which uses several existing known IDS algorithms and Triple Modular Redundancy (TMR) algorithm to make decision about eventual existing attack by majority voting in one constructed ensemble mod

Externí odkaz: https://doaj.org/article/6238927fd4a74b6c9407009be456727e

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Akademický článek

Localization and grading of NPDR lesions using ResNet-18-YOLOv8 model and informative features selection for DR classification based on transfer learning

Autor: Javaria Amin, Irum Shazadi, Muhammad Sharif, Mussarat Yasmin, Nouf Abdullah Almujally, Yunyoung Nam

Publikováno v: Heliyon, Vol 10, Iss 10, Pp e30954- (2024)

Complications in diabetes lead to diabetic retinopathy (DR) hence affecting the vision. Computerized methods performed a significant role in DR detection at the initial phase to cure vision loss. Therefore, a method is proposed in this study that con

Externí odkaz: https://doaj.org/article/2becce5d6ff74db48a17f34cf2b3c0b5

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Akademický článek

The openOCHEM consensus model is the best-performing open-source predictive model in the First EUOS/SLAS joint compound solubility challenge

Autor: Andrea Hunklinger, Peter Hartog, Martin Šícho, Guillaume Godin, Igor V. Tetko

Publikováno v: SLAS Discovery, Vol 29, Iss 2, Pp 100144- (2024)

The EUOS/SLAS challenge aimed to facilitate the development of reliable algorithms to predict the aqueous solubility of small molecules using experimental data from 100 K compounds. In total, hundred teams took part in the challenge to predict low, m

Externí odkaz: https://doaj.org/article/ce577aae0e0c444e8a2ca4d019dd520f

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Akademický článek

How Can Scientific Crowdsourcing Realize Value Co-Creation? A Knowledge Flow-Based Perspective

Autor: Ran Qiu, Guohao Wang, Liying Yu, Yuanzhi Xing, Hui Yang

Publikováno v: Systems, Vol 12, Iss 8, p 295 (2024)

Presently, the practice of scientific crowdsourcing still suffers from user loss, platform operational inefficiency, and many other dilemmas, mainly because the process mechanism of realizing value co-creation through interaction between users and pl

Externí odkaz: https://doaj.org/article/73a046586092403abe3306671b55a78a

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Akademický článek

Dependable intrusion detection system using deep convolutional neural network: A Novel framework and performance evaluation approach

Autor: Vanlalruata Hnamte, Jamal Hussain

Publikováno v: Telematics and Informatics Reports, Vol 11, Iss , Pp 100077- (2023)

Intrusion detection systems (IDS) play a critical role in safeguarding computer networks against unauthorized access and malicious activities. However, traditional IDS approaches face challenges in accurately detecting complex and evolving cyber thre

Externí odkaz: https://doaj.org/article/86e10eb136a749649cef7120248688b7

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