A STUDY OF COMBINATION OF AUTOENCODERS AND BOOSTED BIG-BANG CRUNCH THEORY ARCHITECTURES FOR LAND-USE CLASSIFICATION USING REMOTELY SENSED IMAGERY

A study of combination of autoencoders and boosted Big-Bang crunch theory architectures for Land-Use classification using remotely sensed imagery

Abstract The research introduced a new method for land-use classification by merging deep convolutional neural networks with a modified variant of a metaheuristic optimization technique.The methodology involved utilizing the VGG-19 model for feature extraction, dimensionality reduction, and a stacked autoencoder optimized with a boosted version of

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Applications of intelligent computing in vehicular networks

Purpose - This paper aims to introduce vehicular network platform, routing and broadcasting methods and vehicular positioning enhancement technology, which are three aspects of the applications of intelligent computing in vehicular networks.From this paper, the role of intelligent algorithm in the field of transportation and the vehicular networks

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Selective Detection of Nitrogen-Containing Compound Gases

N-containing gaseous compounds, such as trimethylamine (TMA), triethylamine (TEA), ammonia (NH3), nitrogen monoxide (NO), and nitrogen dioxide (NO2) exude irritating odors and are harmful to the human respiratory system at high concentrations.In this study, we investigated the sensing responses of five sensor materials—Al-doped ZnO (AZO) nano

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TEOA Promotes Autophagic Cell Death via ROS-Mediated Inhibition of mTOR/p70S6k Signaling Pathway in Pancreatic Cancer Cells

Pancreatic cancer is a common malignant tumor with high mortality, and novel therapeutic options have focused on ameliorating its poor prognosis.TEOA, a traditional Chinese herbal medicine, exhibits anti-inflammatory and anti-cancer activities.Our recent study has shown that TEOA inhibits proliferation and induces DNA damage in diffuse large B-cell

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