OCR Recognition of Invoices: Opening a New Era of Intelligent Finance

OCR technology is a method that converts text in images into machine-readable text. Its core principle involves using optical scanning devices (such as scanners or cameras) to convert textual ...
IEEE

Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays

Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...

Empowering Digital Transformation in Enterprises: The Application of Intelligent Invoice Recognition Technology in Finance, Banking, and Government Sectors

Original invoice images often suffer from issues such as uneven lighting, skewing, creases, and background interference. The system first employs techniques like image filtering, binarization, and ...
Electronic Design

A Neural-Network-Based Approach to Smarter DPD Engines

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
GitHub

Galaxy Redshift Estimation Using Convolutional Neural Networks with MLflow Tracking

Photometric redshift estimation is a critical component in large-scale galaxy surveys, enabling researchers to estimate distances to billions of galaxies without requiring time-intensive spectroscopic ...
Phys.org

DNA-based neural network learns from examples to solve problems

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...
pv magazine International

PV module fault diagnosis uses convolutional neural network

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
IJR

‘Disastrously Bad’: Even CNN’s Former Employees Are Trashing Networks Dismal Ratings

Former CNN staffers Chris Cillizza and Oliver Darcy did not hold back on Tuesday regarding the dismal ratings that the network is currently facing. CNN averaged 498,000 total primetime viewership and ...
Fox News

Former CBS anchor warns Paramount merger marks 'the end' of the network and 'honest' journalism

Former CBS anchor Connie Chung warned on CNN Friday that the recent merger between Paramount Global and Skydance Media could be the "end" of journalism as she once knew it. The FCC announced it ...
Hosted on MSN

What Is A Cnn? Convolutional Neural Networks Made Simple

What is CNN in Deep Learning? In this video, we understand what is CNN in Deep Learning and why do we need it. CNN (or Convolutional Neural Network) is the building block of all Computer Vision ...
CNN

Key senator makes bipartisan plea to Trump to invest in weather and early warning networks

A prominent senator is calling on President Donald Trump to reverse course on his proposal to slash the budget for the National Oceanic and Atmospheric Administration, making a case for America to be ...