The Business Times

Teachers, AI roles among Singapore’s fastest-growing jobs in 2026: LinkedIn

Technical and strategic roles alongside those requiring human judgement and connection are on the rise Read more at The ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
IEEE

AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction

Abstract: Air pollution is a vital environmental and public health issue responsible for millions of early deaths worldwide every year. Predicting air quality and associated health impacts is crucial ...
Beebom

What is CNN in Deep Learning? The AI Behind Computer Vision

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 ...
Scientific Research Publishing

Han, Y., Kim, J., & Lee, K. (2017). Deep Convolutional Neural Networks for Predominant Instrument Recognition in Polyphonic Music. IEEE/ACM Transactions on Audio, Speech, and ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...
Scientific Research Publishing

Chen, R., Akbar, G., & Ajit, N. (2024). Musical Instrument Recognition in Poly-Phonic Audio Through Convolutional Neural Networks and Spectrograms. DigitalNZ.

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...
IEEE

Machine Learning-Enhanced Model-Based Optical Proximity Correction Framework With Convolutional Neural Network-Based Variable Threshold Method Near the Diffraction Limit

Abstract: As semiconductor manufacturing approaches the diffraction limit of lithography, traditional model-based optical proximity correction (MBOPC) techniques face accuracy bottlenecks due to ...
Frontiers

Assessment of embryotoxic effects of quinoline yellow using attention-based convolutional neural network and machine learning in zebrafish model

1 Department of Toxicology and Food Science, Faculty of Pharmacy, Medical University of Warsaw, Warsaw, Poland 2 Warsaw University of Technology, Faculty of Electronics and Information Technology, ...