AIMC Topic: Recycling

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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...
Water Purification Waste Disposal, Fluid Wastewater Recycling Industrial Waste Fuzzy Logic Mustard Plant Biological Oxygen Demand Analysis Models, Theoretical Water Quality
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Classification for plastic bottles recycling based on image recognition.

Waste management (New York, N.Y.) Mar 25, 2019
Recycling of used plastic bottles is an important measure to protect the environment and save energy. Usually, bottles in different colors have different value for recycling. Classification of plastic bottles recycling based on image recognition duri...
Support Vector Machine Color Algorithms Recycling
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Review of water quality criteria for water reuse and risk-based implications for irrigated produce under the FDA Food Safety Modernization Act, produce safety rule.

Environmental research Dec 21, 2018
Questions related to the safety of alternative water sources, such as recycled water or reclaimed water (including grey water, produced water, return flows, and recycled wastewater), for produce production have been largely un-explored at the detail ...
Food Safety Recycling Agricultural Irrigation United States Risk Assessment Lactuca Water Quality Diarrhea Wastewater
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Multilayer Hybrid Deep-Learning Method for Waste Classification and Recycling.

Computational intelligence and neuroscience Nov 1, 2018
This study proposes a multilayer hybrid deep-learning system (MHS) to automatically sort waste disposed of by individuals in the urban public area. This system deploys a high-resolution camera to capture waste image and sensors to detect other useful...
Waste Management Algorithms Waste Products Neural Networks, Computer Recycling Humans Deep Learning
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Selection of recycling centre locations by using the interval type-2 fuzzy sets and two-objective genetic algorithm.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Oct 11, 2018
In the sense of contemporary industrial challenges, it may be said that many issues in the field of recycling may be analysed. In this paper, the model for choosing locations for construction of recycling centres equipped with new technology is propo...
Fuzzy Logic Recycling Serbia Algorithms
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How to improve WEEE management? Novel approach in mobile collection with application of artificial intelligence.

Waste management (New York, N.Y.) Mar 2, 2016
In global demand of improvement of electrical and electronic waste management systems, stakeholders look for effective collection systems that generate minimal costs. In this study we propose a novel model for application in mobile collection schemes...
Models, Theoretical Waste Management Recycling Poland Cities Artificial Intelligence Refuse Disposal Electronic Waste
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Predicting recycling behaviour: Comparison of a linear regression model and a fuzzy logic model.

Waste management (New York, N.Y.) Jan 7, 2016
In this paper we demonstrate that fuzzy logic can provide a better tool for predicting recycling behaviour than the customarily used linear regression. To show this, we take a set of empirical data on recycling behaviour (N=664), which we randomly di...
Linear Models Recycling Fuzzy Logic Humans
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Machine learning-guided rare earth recovery from NdFeB magnet waste: Model development, parameter influence analysis and experimental validation.

Journal of environmental management Jun 1, 2025
The rapid expansion of the electric vehicle industry has resulted in substantial production of NdFeB magnet wastes from discarded electromotors. These magnets, weighing up to 2 kg in each electromotor, contain 25-35 wt% of strategic rare earth elemen...
Magnets Metals, Rare Earth Recycling Machine Learning
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AI's plastic recycling.

Nature biotechnology Jun 1, 2022
Plastics Recycling Artificial Intelligence
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