IEEE

Exploring the State-of-the-Art Algorithms for Brain Tumor Classification Using MRI Data

Abstract: Brain structural magnetic resonance image (MRI) is a very useful way to learn about the structure and function of the brain. For doctors, finding and classifying brain tumor (BT) is a ...
UC San Diego Today

Compressed Data Technique Enables Pangenomics at Scale

Engineers at the University of California have developed a new data structure and compression technique that enables the ...
MIT Technology Review

LLMs contain a LOT of parameters. But what’s a parameter?

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...
IEEE

Spectral Structure-Aware Initialization and Probability-Consistent Self-Training for Cross-Scene Hyperspectral Image Classification

Abstract: Cross-scene classification of hyperspectral images (HSIs) aims to classify target domain (TD) data using only labeled source domain (SD) data and unlabeled TD data during training. However, ...
Scientific Research Publishing

FOCUS-Net: A Hybrid Denoising and Confidence-Weighted Attention Fusion Framework for Robust Alzheimer’s Disease Classification from MRI Data ()

1 Department of Computing and Informatics, University of Nairobi, Nairobi, Kenya. 2 Department of Computer Science, Mountains of the Moon University, Fort Portal, Uganda. Alzheimer’s Disease (AD) is a ...
Architectural Record

Interactive ‘Data Structure’ Anchors the University of Virginia’s School of Data Science

In his 1960 book Theory and Design in the First Machine Age, the critic and historian Reyner Banham presciently noted a growing chasm between technological change and the capacity of designers to ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Carnegie Institution for Science

New Families in our Solar Neighborhood: Applying Gaussian Mixture Models for Objective Classification of Structures in the Milky Way and in Simulations

The standard picture of galaxy formation motivates the decomposition of the Milky Way into 3-4 stellar populations with distinct kinematic and elemental abundance distributions: the thin disk, thick ...
Searchenginejournal.com

How LLMs Interpret Content: How To Structure Information For AI Search

Structure content for AI search so it’s easy for LLMs to cite. Use clarity, formatting, and hierarchy to improve your visibility in AI results. In the SEO world, when we talk about how to structure ...
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 ...
C&EN

OPLS-Based Multiclass Classification and Data-Driven Interclass Relationship Discovery

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Multiclass data sets and large-scale studies are increasingly common in omics sciences ...