A critical review of existing and emerging technologies and systems to optimize solid waste management for feedstocks and energy conversion
Solid waste generation and its accumulation is increasing at an alarming pace due to
population growth and urbanization posing severe risks to health, safety, and natural …
population growth and urbanization posing severe risks to health, safety, and natural …
An extensive review of hyperspectral image classification and prediction: techniques and challenges
Abstract Hyperspectral Image Processing (HSIP) is an essential technique in remote
sensing. Currently, extensive research is carried out in hyperspectral image processing …
sensing. Currently, extensive research is carried out in hyperspectral image processing …
Hyperkan: Kolmogorov-arnold networks make hyperspectral image classificators smarter
V Lobanov, N Firsov, E Myasnikov… - ar** of turbidity in optically shallow waters
using satellite data by detecting then masking bottom-contaminated pixels. The …
using satellite data by detecting then masking bottom-contaminated pixels. The …
Minimum Noise Fraction and Long Short-Term Memory Model for Hyperspectral Imaging
In recent years, deep learning techniques have presented a major role in hyperspectral
image (HSI) classification. Most commonly Convolutional Neural Network (CNN) and Long …
image (HSI) classification. Most commonly Convolutional Neural Network (CNN) and Long …
Beyond Appearances: Material Segmentation with Embedded Spectral Information from RGB-D imagery
In the realm of computer vision material segmentation of natural scenes represents a
challenge driven by the complex and diverse appearances of materials. Traditional …
challenge driven by the complex and diverse appearances of materials. Traditional …
An introductory approach to spectral image analysis using machine learning classifiers
Machine learning approach in the field of spectral image analysis has achieved remarkable
results. Machine learning techniques are the most appealing method for the analysis of …
results. Machine learning techniques are the most appealing method for the analysis of …
[PDF][PDF] Gold Price Prediction using Machine Learning Techniques.
Significantly, gold is among the precious metals that are utilized to finance trading
purchases. In countries like India, China, Indonesia, and many more, gold is considered the …
purchases. In countries like India, China, Indonesia, and many more, gold is considered the …