A Review of Low-Light Image Enhancement Based on Deep Learning

Xipu, University of Liverpool Joint Publication!"Can't see clearly at night? A systematic review breaks through the low-light ...

In-Depth Analysis: Core Principles and Algorithm Evolution of OCR Technology in Vehicle Document Recognition

Image preprocessing is the first step in OCR technology, aimed at improving image quality to create favorable conditions for subsequent character recognition. Vehicle document images may be affected ...
CBSSports.com

Chiefs vs. Chargers in Brazil NFL props, odds, SportsLine Machine Learning Model AI predictions, picks for SPG

The Kansas City Chiefs and Los Angeles Chargers renew their AFC West rivalry when they meet in the 2025 NFL Sao Paulo Game on Friday. Kickoff at Corinthians Arena is scheduled for 8 p.m. ET. This ...
IEEE

Federated Learning Model Using CBDPL for Medical Image Segmentation

Abstract: Federated learning (FL) allows hospitals and medical centers to train models without sharing patient data. Instead of sending data to a central server, each institution trains the model ...
americanbazaaronline.com

Indian American Penn students use machine learning to track and protect whales

As whales face harm from ship strikes, fishing net entanglements, and redistribution of prey due to changes in ocean temperature, it’s increasingly important to track their locations and populations ...
Nature

Machine-learning model generates images using light

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
Bloomberg L.P.

Apple Explores Using Google Gemini AI to Power Revamped Siri

Apple Inc. is in early discussions about using Google Gemini to power a revamped version of the Siri voice assistant, marking a key potential step toward outsourcing more of its artificial ...
IEEE

Semi-Supervised Medical Hyperspectral Image Segmentation Using Adversarial Consistency Constraint Learning and Cross Indication Network

Abstract: Hyperspectral imaging technology is considered a new paradigm for high-precision pathological image segmentation due to its ability to obtain spatial and spectral information of the detected ...