AN EFFECTIVE STACKED AUTOENCODER BASED DEPTH SEPARABLE CONVOLUTIONAL NEURAL NETWORK MODEL FOR FACE MASK DETECTION

An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection

The COVID-19 pandemic has been infecting the entire world over the past years.To prevent the spread of COVID-19, people have acclimatised to the new normal, which includes working from home, communicating online, and maintaining personal cleanliness.There are numerous savingszoo.com tools required to prepare to compact transmissions in the future.O

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Electrohydroimpulse method of extracting bone grease

The extraction of fat is the most important stage of the technological process of production of animal fats.The task of the study is to ensure the extraction of fat from fat cells of adipose tissue.Therefore, there are various technological methods that allow to influence the adipose tissue in such a way as to separate the fat contained in them fro

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Implementation of and Experimentation with Ground-Penetrating Radar for Real-Time Automatic Detection of Buried Improvised Explosive Devices

This paper proposes the implementation of and experimentation with GPR for real-time automatic detection of buried IEDs.GPR, consisting of hardware and software, was implemented.A UWB antenna was designed and implemented, particularly for the operation of the GPR.The experiments were conducted in order to demonstrate the real-time automatic detecti

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Land Application of Biosolids in the USA: A Review

Land application of biosolids has proven a cost-effective method of waste disposal by beneficially recycling organic matter and nutrients and improving soil quality; however, it may also pose potential threat to the environment sunflower horse halter and human health.The purpose of this paper is to provide information on recent research progresses

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