Latest Articles for Data Analysis

Study enhances coffee leaf disease classification using tech advancements and data techniques.

A new approach for detecting anomalies in surveillance videos with clear explanations.

This paper examines how GNNs enhance defenses against cyber attacks throughout their life cycle.

Improvements in energy measurement accuracy for electrons and photons at the ATLAS detector.

This framework helps unpack hidden aspects of large language models for better insight.

Discover how stick fragmentation relates to number distribution patterns.

BOD simplifies data analysis by involving users in ranking important variables.

New tool nipalsMCIA simplifies complex multi-block data analysis for researchers.

MA-VAE enhances detection of anomalies in automotive powertrain data.

DocFinQA improves financial analysis by using long documents for better insights.

This article discusses the similarities between Monte Carlo and Stochastic Gradient Descent algorithms.

Exploring the use of LLMs in predicting health outcomes from wearable data.

Learn how to improve sales through better understanding of consumer behavior.

Connecting diverse health data sources to improve patient care and research methods.

A method for calculating probabilities in systems with uncertain timing of observations.

This article discusses expected Shapley-like scores for evaluating contributions in probabilistic databases.

This study focuses on determining galaxy cluster characteristics using only lensed images.

A novel method improves matching decay products to parent particles in physics.

Examining how prompt templates impact the performance of large language models.

AI techniques are transforming how researchers conduct literature reviews.

Understanding how statistical methods apply to brain activity and learning processes.

Combining data from SDSS and Pan-STARRS enhances measurements of the universe's expansion.

New algorithms enhance clustering by ensuring group separation and minimum sizes.

How Bayesian statistics aids in analyzing experimental data in physics.

A new approach enhances RNN training speed and efficiency without traditional methods.

Understanding disease phases aids in effective public health responses.

Study on recognizing drivers through their unique driving styles using GPS signals.

Research examines how filter systems affect star observations and light interpretations.

Exploring statistical depth methods for fuzzy data and their applications.

A detailed dataset combining Mozart's sonatas with piano performances and expert annotations.

A new method enhances local variable selection for better scientific insights.

A new approach to analyze privacy policies using crowdsourcing and active learning.

A new method improves bug fixes in software using language models.

MatSci ML standardizes datasets for efficient materials modeling using machine learning techniques.

Innovative techniques enhance analysis of stochastic differential equations and their uncertainty.

Introducing a flexible framework for optimizing complex problems without derivative information.

Exploring how noise can drive system transitions through innovative computing methods.

A look into non-measurable and sup-measurable functions and their significance.

A look at design choices in financial research and their impact on findings.

This study focuses on enhancing retrieval-augmented generation methods for Brazilian Portuguese.