Fuel Costs Are Pushing Logistics Beyond Routing To Orchestration—Here's How AI Can Help

AI is shifting logistics from reactive route optimization to intelligent delivery orchestration. Here's what leaders need to ...
Investopedia

Nonlinear vs. Linear Regression: Differences and Applications

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Investopedia

Random Variables: Concepts, Types, and Its Applications in Probability

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
IEEE

Explicit Quantum Circuit for Simulating the Advection–Diffusion–Reaction Dynamics

Abstract: We assess the convergence of the Carleman linearization of advection–diffusion–reaction (ADR) equations with a logistic nonlinearity. It is shown that five Carleman iterates provide a ...
PNAS

Cross-chiral exponential amplification of an RNA enzyme

A special form of autocatalysis, rarely seen outside of biology, involves self-replication with exponential growth. Biology relies on building blocks of the same chiral handedness, including nucleic ...
IEEE

Augmented Affine Projection Algorithm Based on Error Nonlinearity and Its Simplified Version

Abstract: The augmented affine projection algorithm (AAPA) has a faster convergence rate than the augmented complex-valued LMS (ACLMS) algorithm for correlated inputs. However, they are both not ...
Frontiers

A framework for identification and classification of liver diseases based on machine learning algorithms

Hepatocellular carcinoma (HCC) is one of the most commonly seen liver disease. Most of HCC patients are diagnosed as Hepatitis B related cirrhosis simultaneously, especially in Asian countries. HCC is ...
BMJ

Bias by censoring for competing events in survival analysis

In survival analysis, competing events preclude the occurrence of the event of interest. The censoring of competing events is common in medical studies but leads to biased cumulative incidence ...
Frontiers

Interaction Analysis Based on Shapley Values and Extreme Gradient Boosting: A Realistic Simulation and Application to a Large Epidemiological Prospective Study

SHapley Additive exPlanations (SHAP) based on tree-based machine learning methods have been proposed to interpret interactions between exposures in observational studies, but their performance in ...