Computer Science: Recent submissions
Now showing items 26-30 of 807
-
Application of a neural network model to short-term water demand forecasting
(MDPI, 12 September 2024)Relationships between water demand, pressure, and leakage highlight the need for accurate supply to match demand. This study addresses the challenges of forecasting short-term water demand and was part of the Battle for ... -
Attributing minimum night flow to individual pipes in real-world water distribution networks using machine learning
(MDPI, 10 September 2024)This article introduces an explainable machine learning model for estimating the amount of flow that each pipe in a district metered area (DMA) contributes to the minimum night flow (MNF). This approach is validated using ... -
Evaluating Inductive Reasoning Capabilities of Large Language Models With The One Dimensional Abstract Reasoning Corpus
(International Workshop on HYbrid models for coupling Deductive and inductive ReAsoning (HYDRA), 20 October 2024)We present an initial automated test to evaluate the LLMs’ capacity to perform inductive reasoning tasks. We use the GPT-3.5/4 models to create a system which generates Python code as hypotheses for inductive reasoning ... -
Stakeholders’ insights on artificial intelligence education: Perspectives of teachers, students, and policymakers
(Elsevier, 24 August 2024)The integration of artificial intelligence (AI) as a subject into K-12 education worldwide is still in its early stages and undoubtedly needs further investigation. There is limited effort on understanding policymakers, ... -
An explainable machine learning approach to the prediction of pipe failure using minimum night flow
(IWA Publishing, 13 June 2024)Both minimum night flow (MNF) and pipe failures are common ways of understanding leakage within water distribution networks (WDNs). This article takes a data-driven approach and applies linear models, random forests, and ...