AIMC Topic: Recycling

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Review on the photonic techniques suitable for automatic monitoring of the composition of multi-materials wastes in view of their posterior recycling.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Mar 21, 2021
In the increasingly pressing context of improving recycling, optical technologies present a broad potential to support the adequate sorting of plastics. Nevertheless, the commercially available solutions (for example, employing near-infrared spectros...
Artificial Intelligence Recycling Product Packaging Plastics Polymers
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A robust identification method for nonferrous metal scraps based on deep learning and superpixel optimization.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Jan 26, 2021
End-of-life vehicles (ELVs) provide a particularly potent source of supply for metals. Hence, the recycling and sorting techniques for ferrous and nonferrous metal scraps from ELVs significantly increase metal resource utilization. However, different...
Recycling Metals Neural Networks, Computer Aluminum Deep Learning
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A bibliometric analysis of comparative research on the evolution of international and Chinese green supply chain research hotspots and frontiers.

Environmental science and pollution research international Jan 2, 2021
Green supply chain (GSC), one of the most vital sub-topics of sustainable development, indicates people provoking on the rationality of business practices and resource consumption patterns. Under the background of economy globalization, developing co...
Recycling Bibliometrics Publications Humans Artificial Intelligence China
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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...
Fuzzy Logic Water Quality Waste Disposal, Fluid Models, Theoretical Biological Oxygen Demand Analysis Mustard Plant Industrial Waste Recycling Wastewater Water Purification
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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...
Color Recycling Algorithms Support Vector Machine
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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 United States Risk Assessment Recycling Water Quality Wastewater Lactuca Diarrhea Agricultural Irrigation
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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 Recycling Algorithms Waste Products Deep Learning Humans Neural Networks, Computer
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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...
Recycling Algorithms Fuzzy Logic Serbia
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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...
Electronic Waste Refuse Disposal Recycling Waste Management Artificial Intelligence Cities Poland Models, Theoretical
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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...
Humans Fuzzy Logic Linear Models Recycling
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