Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches

Generative Adversarial Networks (GANs)

(2021) Divya Saxena et al.   ACM COMPUTING SURVEYS

Evaluation of Deep Learning-Based Segmentation Methods for Industrial Burner Flames

(2021) Julius Großkopf et al.   Energies

A review about pretreatment of lignocellulosic biomass in anaerobic digestion: Achievement and challenge in Germany and China

(2021) Yafan Cai et al.   JOURNAL OF CLEANER PRODUCTION

Applying artificial neural networks (ANNs) to solve solid waste-related issues: A critical review

(2021) Ankun Xu et al.   WASTE MANAGEMENT

Recycled Clothing Classification System Using Intelligent IoT and Deep Learning with AlexNet

(2021) Sun-Kuk Noh   Computational Intelligence and Neuroscience

An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions

(2021) Zaher Mundher Yaseen   CHEMOSPHERE

Environmental survival of SARS-CoV-2 – A solid waste perspective

(2021) Mahalaxmi Iyer et al.   ENVIRONMENTAL RESEARCH

A review on the attention mechanism of deep learning

(2021) Zhaoyang Niu et al.   NEUROCOMPUTING

Food and agro-product quality evaluation based on spectroscopy and deep learning: A review

(2021) Xiaolei Zhang et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

Estimation of municipal solid waste amount based on one-dimension convolutional neural network and long short-term memory with attention mechanism model: A case study of Shanghai

(2021) Kunsen Lin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Municipal Solid Waste Forecasting in China Based on Machine Learning Models

(2021) Liping Yang et al.   Frontiers in Energy Research

Prediction of liquid ammonia yield using a novel deep learning‐based heterogeneous pruning ensemble model

(2020) Min Dai et al.   Asia-Pacific Journal of Chemical Engineering

Prediction of biogas production rate from anaerobic hybrid reactor by artificial neural network and nonlinear regressions models

(2020) Fatih Tufaner et al.   Clean Technologies and Environmental Policy

Using convolutional neural networks to classify the maturity of compost based on sewage sludge and rapeseed straw

(2020) Sebastian Kujawa et al.   JOURNAL OF CLEANER PRODUCTION

Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models

(2020) Mesut Toğaçar et al.   MEASUREMENT

3D Topography Measurement and Completion Method of Blast Furnace Burden Surface Using High-Temperature Industrial Endoscope

(2020) Jiancai Huang et al.   IEEE SENSORS JOURNAL

Landfill area estimation based on solid waste collection prediction using ANN model and final waste disposal options

(2020) Md. Maruful Hoque et al.   JOURNAL OF CLEANER PRODUCTION

Application of deep learning object classifier to improve e-waste collection planning

(2020) Piotr Nowakowski et al.   WASTE MANAGEMENT

Waste generation and management status in the fast-expanding Indian cities: A review

(2020) Abhishek Dutta et al.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION

Monitoring inland water quality using remote sensing: potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing

(2020) Vasit Sagan et al.   EARTH-SCIENCE REVIEWS

Estimating Physical Composition of Municipal Solid Waste in China by Applying Artificial Neural Network Method

(2020) Shijun Ma et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Deep Convolutional Neural Networks Object Detector for Real-Time Waste Identification

(2020) Daniel Octavian Melinte et al.   Applied Sciences-Basel

GRU-Auto-Encoder neural network based methods for diagnosing abnormal operating conditions of steam drums in coal gasification plants

(2020) Yan Ma et al.   COMPUTERS & CHEMICAL ENGINEERING

An Energy Saving Road Sweeper Using Deep Vision for Garbage Detection

(2020) Luca Donati et al.   Applied Sciences-Basel

Generalized models to predict the lower heating value (LHV) of municipal solid waste (MSW)

(2020) Dan Wang et al.   ENERGY

Detection of long-term effect in forecasting municipal solid waste using a long short-term memory neural network

(2020) Dongjie Niu et al.   JOURNAL OF CLEANER PRODUCTION

The generalization error of graph convolutional networks may enlarge with more layers

(2020) Xianchen Zhou et al.   NEUROCOMPUTING

A State-of-the-Art Survey on Deep Learning Theory and Architectures

(2019) Md Zahangir Alom et al.   Electronics

Assessment of waste characteristics and their impact on GIS vehicle collection route optimization using ANN waste forecasts

(2019) Hoang Lan Vu et al.   WASTE MANAGEMENT

Assessing and predicting landfill surface temperature using remote sensing and an artificial neural network

(2019) Hani Abu Qdais et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A fast and easy method for predicting agricultural waste compost maturity by image-based deep learning

(2019) Wei Xue et al.   BIORESOURCE TECHNOLOGY

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

(2019) Ramprasaath R. Selvaraju et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

A weighted auto regressive LSTM based approach for chemical processes modeling

(2019) Xu Zhang et al.   NEUROCOMPUTING

Artificial Intelligence in Steam Cracking Modeling: A Deep Learning Algorithm for Detailed Effluent Prediction

(2019) Pieter P. Plehiers et al.   Engineering

Machine vision for natural gas methane emissions detection using an infrared camera

(2019) Jingfan Wang et al.   APPLIED ENERGY

Linguistic generalization and compositionality in modern artificial neural networks

(2019) Marco Baroni   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Municipal solid waste generation in China: influencing factor analysis and multi-model forecasting

(2018) Leaksmy Chhay et al.   Journal of Material Cycles and Waste Management

Modeling and optimization of photocatalytic treatment of landfill leachate using tungsten-doped TiO 2 nano-photocatalysts: Application of artificial neural network and genetic algorithm

(2018) Sama Azadi et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Application of convolutional neural networks to large-scale naphtha pyrolysis kinetic modeling

(2018) Feng HUA et al.   CHINESE JOURNAL OF CHEMICAL ENGINEERING

Artificial neural network based modelling approach for strength prediction of concrete incorporating agricultural and construction wastes

(2018) Mulusew Aderaw Getahun et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting kinetic triplets using a 1d convolutional neural network

(2018) Dongyang Kuang et al.   THERMOCHIMICA ACTA

Deep learning for pyrolysis reactor monitoring: From thermal imaging toward smart monitoring system

(2018) W. Zhu et al.   AICHE JOURNAL

Multilayer Hybrid Deep-Learning Method for Waste Classification and Recycling

(2018) Yinghao Chu et al.   Computational Intelligence and Neuroscience

Artificial neural network modelling of the amount of separately-collected household packaging waste

(2018) Verónica Oliveira et al.   JOURNAL OF CLEANER PRODUCTION

TL-GDBN: Growing Deep Belief Network With Transfer Learning

(2018) GongMing Wang et al.   IEEE Transactions on Automation Science and Engineering

Optimization of lipase production from organic solid waste by anaerobic digestion and its application in biodiesel production

(2017) P. Selvakumar et al.   FUEL PROCESSING TECHNOLOGY

Online Performance Monitoring and Modeling Paradigm Based on Just-in-Time Learning and Extreme Learning Machine for a Non-Gaussian Chemical Process

(2017) Xin Peng et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Application of artificial intelligence for the management of landfill leachate penetration into groundwater, and assessment of its environmental impacts

(2017) Majid Bagheri et al.   JOURNAL OF CLEANER PRODUCTION

Comparison of ANN (MLP), ANFIS, SVM, and RF models for the online classification of heating value of burning municipal solid waste in circulating fluidized bed incinerators

(2017) Haihui You et al.   WASTE MANAGEMENT

Modelling of lead removal from battery industrial wastewater treatment sludge leachate on cement kiln dust by using Elman's RNN

(2017) Semra Çoruh et al.   International Journal of Global Warming

Prediction of biochar yield from cattle manure pyrolysis via least squares support vector machine intelligent approach

(2016) Hongliang Cao et al.   BIORESOURCE TECHNOLOGY

Artificial neural network based modeling to evaluate methane yield from biogas in a laboratory-scale anaerobic bioreactor

(2016) Vijay V. Nair et al.   BIORESOURCE TECHNOLOGY

Modeling the change in particle size distribution in a gas-solid fluidized bed due to particle attrition using a hybrid artificial neural network-genetic algorithm approach

(2016) Amir Abbas Kazemzadeh Farizhandi et al.   CHEMICAL ENGINEERING SCIENCE

Improving management of windrow composting systems by modeling runoff water quality dynamics using recurrent neural network

(2016) Natalia V. Bhattacharjee et al.   ECOLOGICAL MODELLING

Prediction of Influential Operational Compost Parameters for Monitoring Composting Process

(2016) Chitsan Lin et al.   ENVIRONMENTAL ENGINEERING SCIENCE

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

(2016) Ross Girshick et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Transfer learning for short-term wind speed prediction with deep neural networks

(2016) Qinghua Hu et al.   RENEWABLE ENERGY

Evaluating the ability of artificial neural network and PCA-M5P models in predicting leachate COD load in landfills

(2016) Sama Azadi et al.   WASTE MANAGEMENT

Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor

(2016) Daya Shankar Pandey et al.   WASTE MANAGEMENT

Verifying the performance of artificial neural network and multiple linear regression in predicting the mean seasonal municipal solid waste generation rate: A case study of Fars province, Iran

(2016) Sama Azadi et al.   WASTE MANAGEMENT

Forecasting municipal solid waste generation using artificial intelligence modelling approaches

(2016) Maryam Abbasi et al.   WASTE MANAGEMENT

Compression ratio of municipal solid waste simulation using artificial neural network and adaptive neurofuzzy system

(2015) Maryam Mokhtari et al.   Earth Sciences Research Journal

Deep learning

(2015) Yann LeCun et al.   NATURE

Regularization-based statistical batch process modeling for final product quality prediction

(2014) Zhengbing Yan et al.   AICHE JOURNAL

Artificial neural network model for predicting methane percentage in biogas recovered from a landfill upon injection of liquid organic waste

(2014) Shishir Kumar Behera et al.   Clean Technologies and Environmental Policy

Rapid estimation of compost enzymatic activity by spectral analysis method combined with machine learning

(2014) Somsubhra Chakraborty et al.   WASTE MANAGEMENT

Modeling the dioxin emission of a municipal solid waste incinerator using neural networks

(2013) Sond Bunsan et al.   CHEMOSPHERE

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Artificial neural network (ANN) approach for modeling of Cr(VI) adsorption from aqueous solution by zeolite prepared from raw fly ash (ZFA)

(2012) SeyedMostafa Hosseini Asl et al.   JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY

Computer simulation of gas generation and transport in landfills. V: Use of artificial neural network and the genetic algorithm for short- and long-term forecasting and planning

(2011) Hu Li et al.   CHEMICAL ENGINEERING SCIENCE

Anaerobic digestion in global bio-energy production: Potential and research challenges

(2011) Lise Appels et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Assessing amendment properties of digestate by studying the organic matter composition and the degree of biological stability during the anaerobic digestion of the organic fraction of MSW

(2009) Fulvia Tambone et al.   BIORESOURCE TECHNOLOGY

Computationally efficient seismic fragility analysis of geostructures

(2009) Nikos D. Lagaros et al.   COMPUTERS & STRUCTURES

Life Cycle Assessment of Biochar Systems: Estimating the Energetic, Economic, and Climate Change Potential

(2009) Kelli G. Roberts et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Catechol determination in compost bioremediation using a laccase sensor and artificial neural networks

(2008) Lin Tang et al.   ANALYTICAL AND BIOANALYTICAL CHEMISTRY

Optimisation of the anaerobic digestion of agricultural resources

(2008) Alastair J. Ward et al.   BIORESOURCE TECHNOLOGY

Advanced control systems engineering for energy and comfort management in a building environment—A review

(2008) A.I. Dounis et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Gasification characteristics of MSW and an ANN prediction model

(2008) Gang Xiao et al.   WASTE MANAGEMENT