Latest Articles for Data Analysis

Explore how Marketing Mix Models help businesses assess advertising effectiveness.

Discovering new methods for creating 3D shapes from cross-sections.

Research analyzes RR Lyrae stars using Pan-STARRS and K2 data for classifications and periods.

Neural networks enhance solutions for complex partial differential equations.

This article compares discrete and continuous speech representations for effective speech recognition.

A new method enhances classification by adjusting models to evolving data patterns.

A new method enhances fingerprint classification accuracy using fuzzy logic.

A fresh model for anticipating indoor human trajectories using geometric and visual data.

A new method integrates human input to enhance OOD learning for machine learning models.

New methods combine density estimation and deep learning for effective anomaly detection.

New method improves accuracy in remote sensing scene classification using contextual relationships.

This article discusses a new rating system for evaluating language models more fairly.

A look into how we find cause-and-effect relationships in data.

Improving botnet detection methods through machine learning and adversarial defense strategies.

Researchers refine models to predict crime more accurately and aid law enforcement.

Loon Lens aims to automate the Title and Abstract screening process in systematic reviews.

Learn how Gaussian processes address prediction uncertainty in machine learning.

A new approach enhances the merging of satellite images for better analysis.

A new method for accurate predictions in changing physical situations using machine learning.

TRACE analyzes user actions to enhance travel shopping experiences.

A new method enhances the analysis of point distributions in various fields.

This study presents a new method for enhanced fluid flow modeling using machine learning.

This study evaluates how well VLMs can understand visual perspectives.

New dataset ORBITAAL provides a detailed look at Bitcoin transactions from 2009 to 2021.

Study reveals new methods for analyzing running biomechanics and injury prevention.

Examining how controllability and observability in temporal hypergraphs can aid complex systems.

EvoChart aims to improve chart understanding for machine learning models.

New techniques enhance energy measurement in particle physics.

Recent techniques aim to improve energy measurement in particle collisions.

This study improves sign language video translation through innovative methods.

A new benchmark evaluates biases in language models used for medical diagnoses.

A study on reliable optimization algorithms with proven performance metrics.

TE-PWS enables precise evaluation of information flow in complex systems.

This article examines obstacles in thermal infrared observations and their solutions.

CADD helps identify harmful genetic changes across species.

RTUs improve efficiency and adaptability in sequence learning and control tasks.

A new method aims to better separate blended galaxies in LSST images.

Learn how interactivity enhances data analysis through effective visualization techniques.

A method to classify complex time series data using spectral analysis.

A new model explores how network polarization shapes opinions and interactions.