IEEE

TDPDA: A Triple-Classifier-Based Dynamic Selection Progressive Domain Adaptation Method for Hyperspectral Image Classification

Abstract: Cross-scene hyperspectral image classification (HSIC) is limited by domain shift and the paucity of labeled samples. Although dual-classifier domain adaptation methods have achieved good ...
Nature

Fine art image classification and design methods integrating lightweight deep learning

This study proposes an efficient fine art image classification method integrating lightweight deep learning to address the limitations of low efficiency and poor generalization in art image ...
InfoWorld

What you need to know about Java wrapper classes

Have you ever wondered how Java seamlessly combines its primitive data types with object-oriented programming? Enter wrapper classes, an important but often overlooked Java feature. These special ...
Healio

New classification system offers ‘clear method’ for assessing ultra-processed foods

Please provide your email address to receive an email when new articles are posted on . The WISEcode classification system graded ultra-processed foods more evenly vs. the NOVA system. The tool ...
Scientific Research Publishing

Credit Score Classification Using Advanced Machine Learning: A Comprehensive Approach ()

1 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, NY, USA. This paper presents a ...
Forbes

How AI Is Transforming Data Classification

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...
IEEE

Class Imbalance in Network Traffic Classification: An Adaptive Weight Ensemble-of-Ensemble Learning Method

Abstract: Network Traffic Classification (NTC) serves as a crucial element in network management, and the rapid progress in machine learning has inspired the utilization of learning methods to discern ...
Nature

A text classification method by integrating mobile inverted residual bottleneck convolution networks and capsule networks with adaptive feature channels

The rapid development of the Internet has generated a vast amount of textual data, including web pages, news articles, papers, e-books, chat content, emails, and user comments. The challenge of ...
Frontiers

Effective automatic classification methods via deep learning for myopic maculopathy

Pathologic myopia (PM) associated with myopic maculopathy (MM) is a significant cause of visual impairment, especially in East Asia, where its prevalence has surged. Early detection and accurate ...
Oak Ridge National Lab

Multivariate Testing of Sampling Techniques to Address Class Imbalance in Building Use Type Classification...

GeoAI '24: Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery This study addresses the challenges inherent in building use type classification, ...
usace.army.mil

Latest class from unique Army graduate school adds to growing foundation of armaments expertise to address future battlefield challenges

PICATINNY ARSENAL, N.J. – Six new graduates have been added to the growing roster of alumni from a highly specialized and unique U.S. Army graduate school with a mission to ensure that critical ...
Fox News

Harris dodges question on lowering prices by describing 'middle-class' roots: Neighbors 'proud of their lawn'

Vice President Kamala Harris was criticized Friday for a lengthy response about her "middle-class" upbringing that spoke about people's pride in their lawns but did little to address a question about ...