IoT and Blockchain for Smart Water Quality Management in Future Cities: A Hyperledger Fabric Framework for Smart Water Quality Management and Distribution

S Samanta, A Sarkar - 2023 - researchsquare.com
The delivery and management of clean water are crucial for the long-term growth of Smart
Cities. However, controlling water quality and delivery in a smart city is a difficult and time …

Адаптивни модел прогнозе временских серија у паметним инфраструктурним мрежама

Z Janković - 2022 - search.proquest.com
Дисертација се бави креирањем напредног адаптивног модела краткорочне прогнозе
вредности временских серија у паметним инфраструктурним мрежама. Појаве које …

[PDF][PDF] Smart Sprinkler System on Smart Campus

SH Pan, WE Chen, WS Chen, HH Lin… - Sensors and …, 2023 - sensors.myu-group.co.jp
Owing to advancements in control systems and network technologies, traditional campuses
that used to require enormous amounts of labor in management are now transforming to …

Water demand forecasting–machine learning

M Xenochristou - Embracing Analytics in the Drinking Water …, 2022 - iwaponline.com
Machine learning (ML) is a subfield of artificial intelligence (AI), where algorithms are
learning patterns from data, rather than being rigidly programmed (Radakovich et al., 2020) …

A machine learning based assistive tool for finding potability of drinking water: An approach towards “Water for Life”

B Kaur - AIP Conference Proceedings, 2022 - pubs.aip.org
With the increased industrialization and development during the past few years the level of
water pollution is rising day by day posing a serious health issues to human race. As …

[PDF][PDF] Estimation of Potential and Actual Evapotranspiration under Limited Climate Data

A Ayaz - 2022 - web2py.iiit.ac.in
Evapotranspiration (ET) is one of the prominent hydrologic variables affecting water and
energy balances and critical factors for crop water requirements and irrigation scheduling …

[PDF][PDF] Predicting the behaviour of water distribution networks with machine learning models

P Matos, S Matos, A Andrade-Campos - 2021 - core.ac.uk
Water supply systems are indispensable infrastructures in any modern society, considering
that a modern house is expected to have running water all the time. Water supply systems …

[PDF][PDF] Clean Water Demand Estimation and Forecasting in Palopo City South Sulawesi Province, Indonesia

S Sattar - Journal of Geography, Environment and Earth …, 2022 - repository.umi.ac.id
Life is not possible without water, so we need to supply enough water to sustain well in life.
Insufficiency of clean water is a major problem for urban communities today. For this reason …

[PDF][PDF] Pipeline per il Machine Learning: Analisi e orchestrazione di workflow in Demand forecasting & Radiology

M Gabbrielli, DSP Zingaro, DS Giallorenzo, L Genova - amslaurea.unibo.it
Il Machine Learninge un sottoinsieme dell'intelligenza artificiale (AI) che si occupa di creare
sistemi che apprendono o migliorano le performance in base ai dati che utilizzano …

Elaboración de una metodología de trabajo para el tratamiento y la predicción de series temporales de consumo de agua potable

F Morer - 2021 - riunet.upv.es
[ES] El presente trabajo consiste en la elaboración de una metodología para el análisis de
una serie temporal de caudal de agua potable en un sector hidráulico de tipo domiciliario …