IEEE

Optimized CNN Architecture based on Mutant Particle Swarm Optimization and Opposition Based Learning for Image Classification

Abstract: Recent improvements in Convolution Neural Networks (CNN) have demonstrated extraordinary performance in solving real-world problems. However, the performance of CNN depends purely on its ...
IEEE

Hybrid CNN-LSTM Networks for Enhanced Lung Cancer Detection and Classification from CT Images

Abstract: In this paper, a hybrid deep learning model based on Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks are introduced for the automated detection of lung cancer ...
IEEE

3D CT Liver Images Lesion Extraction and Classification for Using 3D-CNN with GLRLM

Abstract: The imaging technique known as computed tomography (CT) is often considered to be the most reliable way for non-invasive diagnosis. Through the use of three-dimensional (3D) computed ...
IEEE

Adapting a Segmentation Foundation Model for Medical Image Classification

Abstract: Recent advancements in foundation models, such as the Segment Anything Model (SAM), have shown strong performance in various vision tasks, particularly image segmentation, due to their ...
IEEE

CMHLFG: A Cross-layer Multihop Graph Convolution and High-Low-Frequency Graph Attention Fusion Network for Hyperspectral Image Classification

Abstract: Graph convolutional networks (GCNs) have emerged as a prominent research focus for hyperspectral image classification (HSIC). However, existing GCN-based HSIC methods still face the ...
IEEE

Classification of Music Genres based on Machine Learning SVM and CNN

Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...
IEEE

Hyperspectral Image Classification using Few Shot Domain Adaptation and Active Learning

Abstract: Hyperspectral images (HSIs) are pivotal in remote sensing, providing rich spectral and spatial information for applications such as agriculture, environmental monitoring, and mineral ...
New York Post

Florida solves invasive python problem by transforming apex predators into A-list leather goods

The Florida government is ridding the Everglades of invasive pythons by allowing fashion brans to turn them into luxury accessories. Inverse Leathers Shopping will now save the planet. Florida ...
rsbnetwork

CNN slams Trump for donor-funded renovation after cheering larger Obama project

President Trump being the brunt of left media bias is nothing new, but CNN has managed to catch itself in a very public double standard. Breitbart reported on the double standard in reporting from the ...
www.hks.harvard.edu

In a “super-sized” news cycle, what news do you use?

It seemed fitting that two veteran journalists—Nancy Gibbs, the Lombard Director of the Shorenstein Center and the Edward R. Murrow Professor of Practice of Press, Politics and Public Policy, and Dana ...
IEEE

Image Classification using Quantum Convolutional Neural Network (QCNN)

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...