IEEE

CSPPNet: A Convolution and State-Space-Based Photovoltaic Panel Extraction Network Using Gaofen-2 High-Resolution Imagery

Abstract: With the rapid development of photovoltaic (PV) industry, it is crucial to accurately identify PV panels using remote sensing data. However, the existing methods still face problems, such as ...

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...
SciELO

Smart IoT sensors revolutionize water quality: predicting algae growth with advanced neural networks for making concrete

Green algae production is crucial in aqua-agriculture due to its roles in wastewater treatment, CO2 absorption, and oxygen release, along with its potential for valuable product synthesis. Monitoring ...
C&EN

TorchANI 2.0: An Extensible, High-Performance Library for the Design, Training, and Use of NN-IPs

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01853. Ground state atomic energies used in the library for ...
GitHub

Pull requests: RupeshBash/PR16_Train_VS_Test_Comparision_Using_NN

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.
IEEE

Analysis of Ring Oscillator Characteristics Induced by Line Edge Roughness Using Convolution Neural Network

Abstract: The gate-all-around field-effect transistors (GAAFETs) are highly susceptible to performance variations caused by process-induced random variation. Line ...