Data science roles in the industry

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...
IEEE

Integrating Multimodal AI Techniques and MRI Preprocessing for Enhanced Diagnosis of Alzheimer’s Disease: Clinical Applications and Research Horizons

Abstract: A progressive neurological disorder, Alzheimer’s disease has a significant social and economic impact and has become more problematic for world health. Early and precise diagnosis is ...
Scientific Research Publishing

Shi, B., & Xiao, M. (2022). Time-Series K-Means in Causal Inference and Mechanism Clustering for Financial Data.

ABSTRACT: Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock prices under the condition that market is efficient. In ...
IEEE

Advanced Preprocessing Techniques for Transaction Data Analysis

Abstract: The analysis of transaction data is often impeded by challenges such as noise, inconsistencies, high dimensionality, and missing values, which obscure valuable insights. Existing ...
Scientific Research Publishing

Razavi, M., Ziyadidegan, S., Jahromi, R., et al. (2023) Machine Learning, Deep Learning and Data Preprocessing Techniques for Detection, Prediction, and Monitoring of Stress ...

ABSTRACT: Mood disorders—particularly bipolar spectrum conditions—pose enduring diagnostic and therapeutic challenges due to their episodic nature, heterogeneous presentations, and reliance on ...
Frontiers

Research on non-destructive detection of chilled meat quality based on hyperspectral technology combined with different data processing methods

This study utilized hyperspectral technology in conjunction with chemometric methods for the non-destructive assessment of chilled meat quality. Average spectra were extracted from regions of interest ...
Frontiers

Optimizing public health management with predictive analytics: leveraging the power of random forest

Community health outcomes significantly impact older populations' wellbeing and quality of life. Traditional analytical methods often struggle to accurately predict health risks at the community level ...