Latest Articles for Data Analysis

This study presents two algorithms for accurate recovery of source terms in initial value problems.

Improving efficiency in Datalog through semirings and grounding techniques.

The PGIR survey identifies and classifies numerous Long Period Variable Stars using machine learning.

Creating effective visual tools that cater to older adults' needs.

This article discusses a new method for enhancing Extreme Learning Machines in various applications.

Introducing an algorithm for better decision-making with uncertain rewards in complex scenarios.

Study analyzes COVID-19 patients to improve treatment strategies in Lebanon.

How machine learning enhances audit sampling methods in data-rich environments.

New methods improve disease model accuracy for public health decision-making.

This paper examines the impact of location on fairness in AI systems.

Examining how large models efficiently learn from minimal data.

A comprehensive method for selecting effective counterfactuals in machine learning models.

This method helps find hidden patterns in noisy data.

Streamlining the calibration process for more accurate simulations in distributed computing.

A study highlights how photometric data improves stellar temperature and gravity measurements.

A semi-supervised approach improves classification of motor imagery from EEG data.

A study on estimating mining power uncertainties in blockchain systems.

New methods improve state estimation for complex systems under uncertainty.

GROS combines multiple estimators for improved accuracy in data analysis.

Study on using LLMs to track political positions in the EU.

A new method for understanding text structures and relationships.

Researchers use AI models to analyze and interpret blazar emissions across different wavelengths.

This article examines how wave scattering can reveal material properties.

A look into methods for evaluating space collision risks and uncertainties.

The Gene2Phenotype database links genetic variants to diseases, aiding diagnosis and research.

Researchers are turning to Bayesian methods for better data analysis at the LHC.

Examining methods for better signal detection through integer solutions.

New models improve security for IoT devices by addressing data complexity.

This study investigates how LoRA fine-tuning influences token clustering in Transformer models.

A look at how past experiences and brain activity influence behavior.

A comprehensive dataset reveals insights into COVID-19 cases in Taiwan.

Introducing Stance Reasoner to improve stance detection in social media.

A new method enhances vehicle trajectory data accuracy using connected vehicles.

A new algorithm enhances vertex enumeration efficiency and reliability in hyperplane arrangements.

Examining the difficulties and methods to improve observations of the 21cm hydrogen emission.

Introducing a method to enhance significance testing in regression analysis.

BELLA offers fresh insights into solar radio bursts and their impact on space weather.

New model improves accuracy in cloud property retrieval from satellite data.

New method enhances 3D segmentation using inconsistent 2D labels for better reconstruction.

New methods improve understanding of gene interactions and cancer types.