Cognizant (United States)

Control-as-Load Condition v0.2: A State-Dependent Hypothesis on Additional Control Activity and Subsequent Recoverability

This technical note presents Control-as-Load Condition v0.2 as a standalone and empirically testable hypothesis. The central proposal is that the recovery-related effect of additional Control activity varies with within-person state, while task performance is treated as a separat...

Control-as-Load Condition v0.2: A State-Dependent Hypothesis on Additional Control Activity and Subsequent Recoverability

This technical note presents Control-as-Load Condition v0.2 as a standalone and empirically testable hypothesis. The central proposal is that the recovery-related effect of additional Control activity varies with within-person state, while task performance is treated as a separat...

FRAUD-X: An explainable AI-based deep learning model for real-time cloud-driven financial fraud and risk analysis

FRAUD-X is an explainable, a cloud-native explainable deep learning framework designed to improve real-time financial fraud detection while ensuring interpretability and regulatory compliance. The primary objective is to develop a scalable Temporal Convolutional Network (TCN)-bas...