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 …

Treatment of refinery wastewater: Current status and prospects

H Guo, Q Qin, M Hu, JS Chang, DJ Lee - Journal of Environmental …, 2024 - Elsevier
The continuous increase in petroleum refining wastewater production poses a significant
challenge to protecting the water environment. The comprehensive review of petroleum …

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 …

Wastewater treatment with technical intervention inclination towards smart cities

S Pandey, B Twala, R Singh, A Gehlot, A Singh… - Sustainability, 2022 - mdpi.com
At this time, efforts are being made on a worldwide scale to accomplish sustainable
development objectives. It has, thus, now become essential to investigate the part of …

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 …

Photocatalytic degradation of drugs and dyes using a maching learning approach

G Anandhi, M Iyapparaja - RSC advances, 2024 - pubs.rsc.org
The waste management industry uses an increasing number of mathematical prediction
models to accurately forecast the behavior of organic pollutants during catalytic degradation …

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 …

Prediction and modeling of mechanical properties of concrete modified with ceramic waste using artificial neural network and regression model

PR Kshirsagar, K Upreti, VS Kushwah… - Signal, Image and Video …, 2024 - Springer
Over two centuries, concrete has been crucial to building. Thus, eco-friendly concrete is
being developed. Emulating these tangible traits has recently gained popularity. Ceramic …

The state of development of artificial intelligence in polish industry: opinions of employees

G Kądzielawski - International Journal of Contemporary Management, 2022 - sciendo.com
Purpose. The purpose of the article is to show how employees of industrial organizations
perceive the development of artificial intelligence (AI) within them and to gather their …

Blockchain-Orchestrated Intelligent Water Treatment Plant Profiling Framework to Enhance Human Life Expectancy

DS Thakkar, A Thakker, R Gupta, NK Jadav… - IEEE …, 2024 - ieeexplore.ieee.org
Water quality degradation has turned out to be of crucial importance due to various factors
over the past decade. Pollution, climate change, and population growth are the factors that …