Zobrazeno 1 - 10
of 771
pro vyhledávání: '"Multi-Layer Perceptron (MLP)"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract Mango, often regarded as the “king of fruits,” holds a significant position in Bangladesh’s agricultural landscape due to its popularity among the general population. However, identifying different types of mangoes, especially from man
Externí odkaz:
https://doaj.org/article/7fa6cdc42bf740068ddc43ee3b822de3
Autor:
Murat Eray KORKMAZ
Publikováno v:
Revista Română de Informatică și Automatică, Vol 34, Iss 2, Pp 65-74 (2024)
Artificial neural networks represent highly advanced and adaptable tools for addressing challenges, attributed to their capacity for learning through examples and forming generalisations. The present investigation involved the development of an Artif
Externí odkaz:
https://doaj.org/article/8bbc0cf57be04757b437e7a6e5ac0159
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 6, Pp 2198-2218 (2024)
One objective of developing machine learning (ML)-based material models is to integrate them with well-established numerical methods to solve boundary value problems (BVPs). In the family of ML models, recurrent neural networks (RNNs) have been exten
Externí odkaz:
https://doaj.org/article/c47c9870b2dd479d901dd64a356790d9
Autor:
Gabriel Avelino Sampedro, Stephen Ojo, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Vincent Karovic
Publikováno v:
IEEE Access, Vol 12, Pp 157408-157417 (2024)
Adversarial attacks involve manipulating data to trick Artificial Intelligence (AI) models, making false predictions or classifications or even disrupting the normal functions of the smart grid. This can be done by providing the wrong information to
Externí odkaz:
https://doaj.org/article/7a417f0d76be46be80cdb3fc37c16503
Publikováno v:
IEEE Access, Vol 12, Pp 137618-137633 (2024)
Intrusion detection systems (IDS) stand as formidable guardians in network security, playing a pivotal role in identifying and mitigating potential threats. As our digital landscape evolves, the imperative for robust intrusion detection mechanisms gr
Externí odkaz:
https://doaj.org/article/5d18f669bb394a61990b72dc233c6eb3
Autor:
Danyal Khan, Abdullah Alshahrani, Abrar Almjally, Naif Al Mudawi, Asaad Algarni, Khaled Alnowaiser, Ahmad Jalal
Publikováno v:
IEEE Access, Vol 12, Pp 94337-94353 (2024)
Advancements in smartphone sensor technologies have significantly enriched the field of human activity recognition, facilitating a wide array of applications from health monitoring to personal navigation. This study utilized such advancements to expl
Externí odkaz:
https://doaj.org/article/a4201196a0584d509d8b9aaf3e11d4cb
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103754- (2024)
Deep learning has made significant progress in hyperspectral image (HSI) classification, and its powerful ability to automatically learn abstract features is well recognized. Recently, the simple architecture of multi-layer perceptron (MLP) has been
Externí odkaz:
https://doaj.org/article/0f69179a007f4d6d8f3b191ac5f8699a
Autor:
Moutaz Alazab, Ruba Abu Khurma, Pedro A. Castillo, Bilal Abu-Salih, Alejandro Martín, David Camacho
Publikováno v:
Egyptian Informatics Journal, Vol 25, Iss , Pp 100423- (2024)
This paper proposes an Intrusion Detection System (IDS) employing the Harris Hawks Optimization algorithm (HHO) to optimize Multilayer Perceptron learning by optimizing bias and weight parameters. HHO-MLP aims to select optimal parameters in its lear
Externí odkaz:
https://doaj.org/article/a21ebb608d054d81b312bca3dee30f8a
Autor:
Omar I. Sheet, Laheeb M. Ibrahim
Publikováno v:
مجلة التربية والعلم, Vol 32, Iss 2, Pp 51-64 (2023)
Cyber-attacks have increased in number and severity, which has negatively affected businesses and their services. As such, cyber security is no longer considered merely a technological problem, but must also be considered as critical to the economy a
Externí odkaz:
https://doaj.org/article/c8d8ae72fbb04f3897a3de9bab599578
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 15, Iss 4, Pp 1038-1051 (2023)
Predicting the constitutive response of granular soils is a fundamental goal in geomechanics. This paper presents a machine learning (ML) framework for the prediction of the stress-strain behaviour and shear-induced contact fabric evolution of an ide
Externí odkaz:
https://doaj.org/article/392939732c614f9c9e9810a58c230533