Understanding the Least Squares Criterion for Accurate Data Fitting

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.
IEEE

Multivariate Segment Expandable Encoder-Decoder Model for Time Series Forecasting

Abstract: Accurate time series forecasting is critical in a variety of fields, including transportation, weather prediction, energy management, infrastructure monitoring, and finance. Forecasting ...
GitHub

D-FINE: Redefine Regression Task of DETRs as Fine‑grained Distribution Refinement

If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...
IEEE

Learning-Based Motion Planning Leveraging Multivariate Deep Evidential Regression

Abstract: Learning-based motion planning methods have shown significant promise in enhancing the efficiency of traditional algorithms. However, they often face performance degradation in novel ...
C&EN

Artificial Neural Network and Non-Linear Regression-Based Optimization of the Degradation of Acid Black 52 Using Atmospheric Plasma Process

Laboratorio de Análisis y Sustentabilidad Ambiental, Escuela de Estudios Superiores de Xalostoc, Universidad Autónoma del Estado de Morelos, Ayala, Morelos 62715, Mexico ...
C&EN

Time-Domain Quantum Cascade Laser-Based Vibrational Circular Dichroism Spectroscopy with Linear Dichroism Monitoring

Beckman Institute for Advanced Science and Technology, University of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States Department of Bioengineering, University of Illinois ...