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Enhanced low-light image fusion through multi-stage processing with Bayesian analysis and quadratic contrast function
Nature
This manuscript introduces an innovative multi-stage image fusion framework that adeptly integrates infrared (IR) and visible (VIS) spectrum images
1 month ago
COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization
Frontiers
In this article, a Bayesian optimized DCNN and explainable AI-based framework is proposed for the classification of COVID-19 from the chest X-ray images.
7 months ago
Bayesian decision based fusion algorithm for remote sensing images
Nature
Remote sensing image fusion is dedicated to obtain a high-resolution multispectral (HRMS) image without spatial or spectral distortion...
3 months ago
Mapping reservoir water quality from Sentinel-2 satellite data based on a new approach of weighted averaging: Application of Bayesian maximum entropy
Nature
In regions like Oman, which are characterized by aridity, enhancing the water quality discharged from reservoirs poses considerable...
2 months ago
Machine Learning and the InnerEye for Cancer Treatment with Dr. Antonio Criminisi
Microsoft
Dr. Criminisi talks about Project InnerEye, an innovative machine learning tool that helps radiologists identify and analyze 3-D images of cancerous tumors.
78 months ago
A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning
Towards Data Science
Humans have an inherent ability to transfer knowledge across tasks. What we acquire as knowledge while learning about one task,...
70 months ago
Sequential Bayesian-optimized graphene synthesis by direct solar-thermal chemical vapor deposition
Nature
We report the synthesis of high-quality single-layer graphene (SLG) and AB-stacked bilayer graphene films in a one-step, short-time process with...
7 months ago
Creating Image Classification Model with Bayesian Perspective
Towards Data Science
With the emergence and advancements of various deep learning frameworks like TensorFlow and PyTorch, solving an image classification task...
45 months ago
Multi-class deep learning architecture for classifying lung diseases from chest X-Ray and CT images
Nature
Medical imaging is considered a suitable alternative testing method for the detection of lung diseases. Many researchers have been working...
10 months ago
Deep robust residual network for super-resolution of 2D fetal brain MRI
Nature
To increase the quality of brain MRI, we study a robust residual-learning SR network (RRLSRN) to generate a sharp HR brain image from an LR input.
32 months ago