A DEEP LEARNING-BASED DYNAMIC DEFORMABLE ADAPTIVE FRAMEWORK FOR LOCATING THE ROOT REGION OF THE DYNAMIC FLAMES.

A deep learning-based dynamic deformable adaptive framework for locating the root region of the dynamic flames.

Traditional optical flame detectors (OFDs) in flame detection are susceptible to environmental interference, which will inevitably cause detection errors and miscalculations when confronted with a complex environment.The conventional deep learning-based models can mitigate the Bath Towels interference of complex environments by flame image feature

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COMPUTATIONAL ANALYSIS OF LOAD VENTILATION IN BROILER TRANSPORT

ABSTRACT The characterization of ventilation during the transport of broiler chickens is essential for identifying and characterizing the potential problems of a convective heat flow and its effects on the welfare and the health and production conditions of the chickens.The objective of this study was to evaluate the ventilation patterns in two lay

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Comparative Analysis of Revenue Generation and Management of Hotels in Different Locations in Ilorin, Nigeria

Hoteliers clearly believe that location is important for a hotel, and have market research evidence to support this.However, almost nothing has been done to enable Cameras this issue to be incorporated into revenue generation.There is a gap in the literature relating to analysis from a location-side approach for increase revenue.This study therefor

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