Emerging technological solutions for the management of paper mill wastewater: treatment, nutrient recovery and fourth industrial revolution (IR 4.0)

R Kumar, A Maurya, A Raj - Journal of Water Process Engineering, 2023 - Elsevier
At present, the increasing consumption of natural sources and rapid urbanization has
exceeded the demand for fresh water which is a matter of serious concern. Paper mill …

Fundamental pillars for industry 4.0 development: implementation framework and challenges in manufacturing environment

M Singh, R Goyat, R Panwar - The TQM Journal, 2023 - emerald.com
Purpose At the present time, Industry 4.0 has proven its effectiveness and significance in
automation and data exchange within industries across different sectors worldwide. In the …

Application of machine learning at wastewater treatment facilities: a review of the science, challenges and barriers by level of implementation

S Imen, HC Croll, NL McLellan, M Bartlett… - Environmental …, 2023 - Taylor & Francis
Wastewater treatment facilities are complex environments with many unit treatment
processes in series, in parallel, and connected by feedback loops. As such, addressing …

Internet of things (IOT) based machine learning techniques for wind energy harvesting

R Kalpana, SV, R Lokanadham… - Electric Power …, 2023 - Taylor & Francis
Abstract The Internet of Things (IoT) is a significant avenue for research in renewable
energy, particularly in enhancing windmill performance, reducing wind energy costs, and …

[PDF][PDF] Оптимізація стоків з використанням нейронної мережі при очищенні промислових стічних вод

МВ Матвійчук - Artificial Intelligence, 2023 - jnas.nbuv.gov.ua
Зростання населення планети призводить до збільшення проблеми доступу до прісної
води. Основні джерела води на Землі–солонувата та морська вода. У зв'язку з водною …

[引用][C] ESG risk management supported by artificial intelligence systems

M Płońska, G Kądzielawski - Zeszyty Naukowe. Organizacja i Zarządzanie …, 2023