Latest Articles for Data Analysis

A new method enhances hyperspectral image labeling for better food quality assessment.

A method to maximize profits while considering price and advertising costs across markets.

A method combining Koopman operator and kernel approaches for improved nonlinear system control.

Research reveals significant flare activity in compact stars like white dwarfs and hot subdwarfs.

A new method to enhance trajectory prediction across varying observation lengths.

This article discusses how data-driven methods improve control systems through simplified models.

Strategies for improving variational autoencoders in handling incomplete datasets.

A compact time-series feature set enhances brain activity analysis across species.

New approaches enhance analysis of 3D medical images using language models.

Addressing template translation issues to enhance cultural representation.

A new method improves outlier detection and estimation in multi-dimensional datasets.

Exploring how IRL enhances network performance through expert behavior learning.

MR.RGM aids researchers in examining interactions between genetics and health outcomes.

Examining how distance correlation measures variable dependence and its response to outliers.

Research reveals elemental abundances in solar analogs, impacting our understanding of stars and planets.

Automated systems streamline data collection from scientific literature in chemistry.

This study examines how large language models mimic human biases.

This review outlines a framework for AIOps in incident management.

Assessing machine learning models for reliable event forecasting.

A new method reduces complexity in hierarchical categorical data for improved predictions.

IsoBench evaluates how models handle text and images to identify strengths.

A new method streamlines document reviews using Chao's Population Size Estimator.

This article presents a simpler method for mediation analysis in social research.

CompareM2 streamlines genomic analysis for researchers, making it simpler and faster.

Research using ATLAS detector aims to find new high-mass particles beyond the Standard Model.

TEAR efficiently aligns large 3D point sets, overcoming outliers and memory issues.

Exploring role assignments in graphs and their applications in various fields.

Exploring how human movement affects the spread of COVID-19 using mobile data.

Learn how data and design improve energy efficiency in maritime transport.

A new dataset focuses on causal reasoning using 'Tom and Jerry' animations.

Introducing a framework for more accurate query performance assessment in information retrieval.

Quantum sampling offers fresh methods for tackling difficult challenges in various fields.

This article discusses using classification for value functions in deep reinforcement learning.

New optical model potential enhances proton-nucleus interaction studies.

This study assesses the performance of LLMs with the Persian language.

Exploring how the brain's resting state impacts task-related activity.

Exploring the impact of public data on differential privacy in machine learning.

bioIB simplifies single-cell RNA sequencing data while retaining key biological insights.

Utilizing machine learning to address data imbalance in climate models for gravity wave predictions.

This article explores how DESI tackles redshift errors in quasar measurements.