AIMC Topic: Industrial Waste
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Agro-industrial waste management employing benefits of artificial intelligence.
Environmental science and pollution research international
May 7, 2024
By 2050, the world's population is predicted to reach over 9 billion, which requires 70% increased production in agriculture and food industries to meet demand. This presents a significant challenge for the agri-food sector in all aspects. Agro-indus...
Artificial intelligence-based prediction model for the elemental occurrence form of tailings and mine wastes.
Environmental research
Feb 2, 2024
With the advent of the second industrial revolution, mining and metallurgical processes generate large volumes of tailings and mine wastes (TMW), which worsens global environmental pollution. Studying the occurrence of metal and metalloid elements in...
Deep learning-based models for environmental management: Recognizing construction, renovation, and demolition waste in-the-wild.
Journal of environmental management
Jan 1, 2024
The construction industry generates a substantial volume of solid waste, often destinated for landfills, causing significant environmental pollution. Waste recycling is decisive in managing waste yet challenging due to labor-intensive sorting process...
Investigation of ANN architecture for predicting the compressive strength of concrete containing GGBFS.
PloS one
Dec 3, 2021
An extensive simulation program is used in this study to discover the best ANN model for predicting the compressive strength of concrete containing Ground Granulated Blast Furnace Slag (GGBFS). To accomplish this purpose, an experimental database of ...
Toxicity evaluation and oxidative stress response of fumaronitrile, a persistent organic pollutant (POP) of industrial waste water on tilapia fish (Oreochromis mossambicus).
Environmental research
Sep 8, 2021
The study was designed to determine the impact of acute toxicity of fumaronitrile exposure through tissue damaging, oxidative stress enzymes and histopathological studies in gills, liver and muscle cells of freshwater tilapia fish (Oreochromis mossam...
Alkaline conditions better extract anti-inflammatory polysaccharides from winemaking by-products.
Food research international (Ottawa, Ont.)
Jul 3, 2019
Winemaking generates large amounts of by-products, a well recognized source of phenolic compounds. However, less attention has been paid to the polysaccharide-rich fraction (PRF) and effects of fractionation techniques on its potential bioactivity. T...
Sequential treatment of paper and pulp industrial wastewater: Prediction of water quality parameters by Mamdani Fuzzy Logic model and phytotoxicity assessment.
Chemosphere
Apr 5, 2019
Recycling of industrial wastewater meeting quality standards for agricultural and industrial demands is a viable option. In this study, paper and pulp industrial wastewater were treated with three biological treatments viz. aerobic, anaerobic and seq...
Use of artificial neuronal networks for prediction of the control parameters in the process of anaerobic digestion with thermal pretreatment.
Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering
Apr 19, 2018
This article focuses on the analysis of the behavior patterns of the variables involved in the anaerobic digestion process. The objective is to predict the impact factor and the behavior pattern of the variables, i.e., temperature, pH, volatile solid...
Efficient heavy metal removal from industrial melting effluent using fixed-bed process based on porous hydrogel adsorbents.
Water research
Dec 27, 2017
High adsorption capacity, fast adsorption kinetics, good reusability and low cost are highly demanded for adsorbents used in practical adsorption process. In this study, a porous double network Jute/Polyacrylic acid (Jute/PAA) gel was prepared using ...
Application of fuzzy c-means clustering to PRTR chemicals uncovering their release and toxicity characteristics.
The Science of the total environment
Dec 13, 2017
Increasing manufacture and usage of chemicals have not been matched by the increase in our understanding of their risks. Pollutant release and transfer register (PRTR) is becoming a popular measure for collecting chemical data and enhancing the publi...
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