[PDF][PDF] SUPPORTING THE INVENTORY MANAGEMENT IN THE MANUFACTURING COMPANY BY CHATGPT.

D Skórnóg, M Kmiecik - LogForum, 2023 - logforum.net
Background: The decision-making process in the operational context of enterprises is an
integral aspect of how they function, and in this area, precise demand forecasting plays a …

Federated Learning for Air Quality Index Prediction: An Overview

DD Le, AK Tran, MS Dao… - … on Knowledge and …, 2022 - ieeexplore.ieee.org
The air quality index forecast in big cities is an exciting study area in smart cities and
healthcare on the Internet of Things. In recent years, a large number of empirical, academic …

Применение технологий искусственного интеллекта в научно-технологическом прогнозировании

СС Голубев, АЛ Афанасьев, АВ Курицын - Прикладная информатика, 2022 - elibrary.ru
В настоящее время искусственный интеллект широко применяется при формировании
прогнозов. Вместе с тем вопрос его применения в научно-технологическом …

Data mining from process monitoring of typical polluting enterprise

W Zhao, P Zhang, D Chen, H Wang, B Gu… - Environmental Monitoring …, 2023 - Springer
With the increasing volume of environmental monitoring data, extracting valuable insights
from multivariate time series sensor data can facilitate comprehensive information utilization …

Sustainable Application of Artificial Intelligence in Biomonitoring for Environmental Sustainability: Challenges and Prospects

M Hait, P Sahu, S Biswas, SC Izah - … of Pollutants in the Global South, 2024 - Springer
The present status of artificial intelligence (AI) and the Internet of Things (IoT) research is
primarily concerned with the ways in which these technologies may contribute to sustainable …

Prediction of air quality pollutants using artificial intelligence techniques: A review

SS Subbiah, SK Paramasivan - AIP Conference Proceedings, 2024 - pubs.aip.org
Now a days, air pollution is a critical environmental issue in developing countries due to
urbanization and industrialization. The pollution in air causes severe health issues for …

An Evaluation of the Influence of Meteorological Factors and a Pollutant Emission Inventory on PM2.5 Prediction in the Beijing–Tianjin–Hebei Region Based on a …

X Shi, B Li, X Gao, SD Yabo, K Wang, H Qi, J Ding… - Environments, 2024 - mdpi.com
In this study, a Long Short-Term Memory (LSTM) network approach is employed to evaluate
the prediction performance of PM2. 5 in the Beijing–Tianjin–Hebei region (BTH). The …

A Novel Approach to Reduce Air Pollution Through Machine Learning Based PM2. 5 Prediction

TM Monsaif, OF Alif, SD Amarth… - 2022 4th International …, 2022 - ieeexplore.ieee.org
The industrial revolution is advancing development and also side by side creating an
environmental crisis for us and the next generation. AI (Artificial Intelligence) is one of the …

Deep learning technologies for the assessment of air pollution level systems in smart cities

SS Priscila, A Jayanthiladevi - International Journal of …, 2023 - inderscienceonline.com
In order to prevent pollution and make sure that air pollution control systems are working as
intended, forecasting can provide reliable data on pollution prediction. When analysing the …

[PDF][PDF] Interpretable Machine Learning Approaches for Forecasting and Predicting Air Pollution: A Systematic Review

A Houdou, I El Badisy, K Khomsi, S Andrade - Machine Learning, 2022 - aaqr.org
Query/download date or version of the database Database query/download date or version
of the database must be reported. Or the final dataset (that is, after editing and quality …