Výsledky vyhledávání - "Multilayer Perception"

Akademický článek

Rapid Weakening Tropical Cyclone Intensity Estimation Based on Deep Learning Using Infrared Satellite Images and Reanalysis Data

Autor: Chang-Jiang Zhang, Yu Wang, Xiao-Qin Lu, Feng-Yuan Sun

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17598-17611 (2024)

Tropical cyclones (TC) are major devastating natural disasters that lead to property destruction worth billions of dollars and threaten millions of lives. However, rapid changes in TC are the main source of the current TC forecast error. This study p

Externí odkaz: https://doaj.org/article/ddf1ddb33e594872a19faf2f360aec3e

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Akademický článek

Multilayer Perception-Based Hybrid Spectral Band Selection Algorithm for Aflatoxin B1 Detection Using Hyperspectral Imaging

Autor: Md. Ahasan Kabir, Ivan Lee, Chandra B. Singh, Gayatri Mishra, Brajesh Kumar Panda, Sang-Heon Lee

Publikováno v: Applied Sciences, Vol 14, Iss 20, p 9313 (2024)

Aflatoxin B1 is a toxic substance in almonds, other nuts, and grains that poses potential serious health risks to humans and animals, particularly in warm, humid climates. Therefore, it is necessary to remove aflatoxin B1 before almonds enter the sup

Externí odkaz: https://doaj.org/article/e65f12954a464f699e0d2ba884fab5b5

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Akademický článek

Carbon Emission Forecast Based on Multilayer Perceptron Network and STIRPAT Model

Autor: Ning Zhao, Chengyu Li

Publikováno v: EAI Endorsed Transactions on Energy Web, Vol 11 (2024)

INTRODUCTION: It is of great research significance to explore whether China can achieve the "two-carbon target" on time. The MLP model combines nonlinear modeling principles with other techniques, possessing powerful adaptive learning capabilities, a

Externí odkaz: https://doaj.org/article/c01a5cbc883c4828b174c7ffefa4854a

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Akademický článek

Determination of future land use changes using remote sensing imagery and artificial neural network algorithm: A case study of Davao City, Philippines

Autor: Cristina E. Dumdumaya, Jonathan Salar Cabrera

Publikováno v: Artificial Intelligence in Geosciences, Vol 4, Iss , Pp 111-118 (2023)

Land use and land cover (LULC) changes refer to alterations in land use or physical characteristics. These changes can be caused by human activities, such as urbanization, agriculture, and resource extraction, as well as natural phenomena, for exampl

Externí odkaz: https://doaj.org/article/820f288161b44b5abbac19e175560536

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Akademický článek

Effective evaluation of HGcnMLP method for markerless 3D pose estimation of musculoskeletal diseases patients based on smartphone monocular video

Autor: Rui Hu, Yanan Diao, Yingchi Wang, Gaoqiang Li, Rong He, Yunkun Ning, Nan Lou, Guanglin Li, Guoru Zhao

Publikováno v: Frontiers in Bioengineering and Biotechnology, Vol 11 (2024)

Markerless pose estimation based on computer vision provides a simpler and cheaper alternative to human motion capture, with great potential for clinical diagnosis and remote rehabilitation assessment. Currently, the markerless 3D pose estimation is

Externí odkaz: https://doaj.org/article/6675930869894dcc92fba5527c28ff6b

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Akademický článek

Integrating the artificial intelligence and hybrid machine learning algorithms for improving the accuracy of spatial prediction of landslide hazards in Kurseong Himalayan Region

Autor: Anik Saha, Sunil Saha

Publikováno v: Artificial Intelligence in Geosciences, Vol 3, Iss , Pp 14-27 (2022)

The aim of the current work is to compare susceptibility maps of landslides produced using machine learning techniques i.e. multilayer perception neural nets (MLP), kernel logistic regression (KLR), random forest (RF), and multivariate adaptive regre

Externí odkaz: https://doaj.org/article/cff6bfb2006949fdb494d7a02ea44777

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Akademický článek

Renewable power source energy consumption by hybrid machine learning model

Autor: Rasha M. Abd El-Aziz

Publikováno v: Alexandria Engineering Journal, Vol 61, Iss 12, Pp 9447-9455 (2022)

Today, electricity is in high demand in a variety of places, including hospitals, industry, households, transportation, and communication, among others. Renewable energy is a revolutionary type of energy that is increasingly being used to replace ele

Externí odkaz: https://doaj.org/article/92ae6dd93b8d4ce09f9b37780b0f15e4

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