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Computer Vision and Convolutional Neural Network Improves Flame and Smoke Detection

A recent study published in Fire suggests an efficient pre-processing image detection approach for flames and smoke produced during a fire. The color conversion and corner detection approach detect the flame zone. ....

Usman Ahmedjul , Laura Thomson , Usman Ahmed , Research Findings , Convolutional Neural Network , Complex Flame , Convolutional Neural , Current Image Based Fire Detection , Image Pre Processing ,

Denoising Method Improves Remote Monitoring of Water Color

The use of hyperspectral data in remote sensing of water color is crucial. A team of researchers developed a 1-D denoising method for hyperspectral water data based on sparse representation, according to a study recently published in Applied Sciences. ....

Usman Ahmedjul , Laura Thomson , Usman Ahmed , Research Findings , Development Of Sparse , Sparse Representing Denoising , Hyperspectral Data , Water Color Remote Sensing , Image Credit , Accurate Hyperspectral , Deep Learning Algorithms , Sparse Representing Denoising Technique , Water Color Remote , Applied Sciences ,

Deep-Learning to Help Create Greener Commercial Energy Systems

A unique deep learning-based image recognition technique for the extensible implementation of on-demand defrosting control has been presented in a recent study published in the journal Applied Energy. ....

Usman Ahmedjul , Laura Thomson , Usman Ahmed , Leowolfert Shutterstock , Research Findings , Image Credit , Image Recognition Based Defrosting , Deep Learning Based Image Recognition , Periodical Defrosting , Learning Based Imaging Paves Way , Greener Commercial Energy ,

Optical Sorting Could Help Manage Fish Migration

Optical Sorting Could Help Manage Fish Migration
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