YouTube on MSN

Photoshop tutorial: Photomerge! How to merge multiple photos into a seamless image

Photoshop cc tutorial showing how to merge together multiple source photos into one seamless image using Photomerge. This ...
Veri Apriyatno Drawings on MSN

Stunning glass teapot realism tutorial with transparent shading

Create a realistic stunning glass teapot drawing that looks transparent, glossy, and unbelievably real. Glass is one of the ...
Game Rant on MSN

Divinity: Original Sin 2 - The Hold Interactive Map

Divinity: Original Sin 2 is a game packed with secrets. Tons of items, characters, and quests are locked behind obscure ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
eLife

Pupil dilation offers a time-window on prediction error

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.
IEEE

Classifying Nutritional Deficiencies in Coffee Leaf Using Transfer Learning and Gradient-Weighted Class Activation Mapping (Grad-CAM) Visualization

Abstract: Coffee is a very popular beverage around the world. The production coffee can be affected by nutrition deficiencies and result in massive underproduction. This makes early detection of ...
Frontiers

The alterations in brain network functional gradients and dynamic functional connectivity in Alzheimer’s disease: a resting-state fMRI study

1 Department of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People’s Hospital of Zunyi), Zunyi, China 2 Department of Traditional Chinese Medicine, The Third ...
IEEE

COVID-19 Diagnosis on Chest X-Ray Images using an Xception-based Deep Learning Classifier and Gradient-weighted Class Activation Mapping

Abstract: This paper proposes the development of a deep learning model for diagnosing COVID-19 through the analysis of chest X-ray images. First, data augmentation is implemented to avoid overfitting ...