Abstract: In the realm of deep learning, the veracity and integrity of the training data are pivotal for constructing reliable and transparent models. This study introduces the concept of Trustworthy ...
Module 5 · Unit 1 — AI in Project Optimisation, Innovation and Ethics Zigurat Institute of Technology — MAICEN 1125 Submitted: 15 March 2026 End-to-end time series analysis of the PJM West hourly ...
We present the first representative international data on firm-level AI use. We survey almost 6000 CFOs, CEOs and executives from stratified firm samples across the US, UK, Germany and Australia. We ...
Abstract: This study examines the impact of preprocessing techniques, including stratification, oversampling (SMOTE), undersampling, and PCA, on neural network performance for early detection of type ...
DynPricing Dataset v1.0.0 is a processed and structured dataset designed for research in Dynamic Pricing using Reinforcement Learning (RL) and Sequential Decision-Making under Economic Uncertainty.
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