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Network in Network (NiN) Explained – Deep Neural Network Tutorial with PyTorch

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
IEEE

Beyond Binary: Improving Signed Message Passing in Graph Neural Networks for Multi-Class Graphs

Abstract: Graph Neural Networks (GNNs) exhibit satisfactory performance on homophilic networks, where most edges connect two nodes with the same label. However, their effectiveness diminishes as the ...
IEEE

A Deep Stochastic Adaptive Fourier Decomposition Network With Back-Propagation for Hyperspectral Image Classification

Abstract: Convolutional neural networks (CNNs) have shown impressive performance in hyperspectral image (HSI) classification. However, these deep learning methods still face two major challenges. One ...
C&EN

Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...
Scientific Research Publishing

Zhang, X., Zhao, J.B. and LeCun, Y. (2015) Character-Level Convolutional Networks for Text Classification.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
Digital Journal

DAYTON T. BROWN, INC. NAMED ENGINEERING AND TESTING LABORATORY OF THE YEAR 2025

Bohemia, N.Y. – Dayton T. Brown, Inc., a leading provider of engineering and testing services, has been honored as the Engineering and Testing Laboratory of the Year 2025, a prestigious recognition ...
Digital Journal

Focus on XRP and ETH: Turn Your Crypto Assets into $5,600 Daily Cash Flow with FindMining Cloud Mining APP

Through an intuitive mobile control panel, users can view mining data, real-time earnings, and account balances with one click. Contracts cover everything from a $15 trial plan to large-scale ...
Phys.org

Researchers develop neural network for large-scale celestial object classification

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...
Frontiers

High-accuracy lung sound classification for healthy versus unhealthy diagnosis using artificial neural network

Introduction: In recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing ...
Frontiers

Automated classification of midpalatal suture maturation using 2D convolutional neural networks on CBCT scans

School of Dentistry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada Introduction: Accurate assessment of midpalatal suture (MPS) maturation is critical in orthodontics, ...