Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...

February 13, 2026. This webinar describes how Deep Learning methods can be used for object detection and segmentation in high resolution drone imagery using ArcGIS Pro.

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

CNN host Abby Phillip said during an interview on "The View" on Wednesday that Rep. Marjorie Taylor Greene, R-Ga., was learning that loyalty was a "one-way street" with President Donald Trump. "I ...

In marine engineering, polymer layers are anti-seepage barrier materials. The mechanical interaction between marine sand and polymer layer significantly affects overall structural stability. In this ...

Abstract: To categorize remote sensing images from a dataset with ten classes-'harbor', 'chaparral', 'tennis_court', 'industrial_area', 'parking_lot', 'forest', 'beach', 'overpass', 'airplane', and ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Abstract: This paper proposes the multirate finite impulse-response (FIR) Convolutional Neural Networks (mCNN) algorithms for an efficient implementation of the 2-Dimensional (2-D) CNN circuits ...

1 Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA. 2 Department of Mathematics and Computer Science, Islamic Azad University, Science and Research Branch, Tehran, ...

The rapid advancement of Artificial Intelligence (AI) and the integration of digital technologies present transformative opportunities to improve productivity, safety, and efficiency in construction ...