TMCnet

WiMi Lays Out Scalable Quantum Convolutional Neural Network to Enhance Image Classification Accuracy and Efficiency

BEIJING, Sept. 15, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that ...
Scientific Research Publishing

Yu, T.L. (1990) Time-Table Scheduling Using Neural Network Algorithms. 1990 IJCNN International Joint Conference on Neural Networks, San Diego, 17-21 June 1990, 279-284.

ABSTRACT: Manual timetable preparation in colleges and universities is often time-consuming, error-prone, and inefficient, especially with increasing student and course complexity. This paper proposes ...
Carscoops

Tesla Might Be Using Local Streets To Stash Unsold EVs And Residents Are Fed Up

Imagine waking up one morning to find what appear to be unsold overflow vehicles from your local dealership parked all over your street. That’s essentially what some residents in Signal Hill, ...
IEEE

Comparative Analysis of Custom Neural Network Model and VGG-16 for Multi-class Image Classification

Abstract: This study assesses the performance of CustomNet, a lightweight neural network model trained using NumPy and Pandas, compared to the VGG-16 architecture on the datasets of MNIST, Fashion ...
news.ucsb.edu

Energy and memory: A new neural network paradigm

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations — it’s a triumph of your associative memory, in which one piece of information (the first few ...
IEEE

Satellite Image Classification Using Convolutional Neural Networks

Abstract: Image classification is crucial in remote sensing, image analysis, and pattern recognition. Object detection and classification in satellite images are crucial for applications like marine ...
Frontiers

Detection of weeds in vegetables using image classification neural networks and image processing

Weed management presents a major challenge to vegetable growth. Accurate identification of weeds is essential for automated weeding. However, the wide variety of weed types and their complex ...
Scientific Research Publishing

Diabetic Retinopathy Severity Classification Using Data Fusion and Ensemble Transfer Learning ()

Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...