Real Time Multipurpose Smart Waste Classification Model for Efficient Recycling in Smart Cities Using Multilayer Convolutional Neural Network and Perceptron

Reutilisation of food wastes for generating fuels and value added products: A global review

(2020) Mehmet Melikoglu   Environmental Technology & Innovation

CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture

(2019) Yang-Yang Zheng et al.   SENSORS

Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM

(2019) Tuong Le et al.   Applied Sciences-Basel

Multilayer Hybrid Deep-Learning Method for Waste Classification and Recycling

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

Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

(2017) Bin Liu et al.   Symmetry-Basel

State of the Evidence: The Connection Between Breast Cancer and the Environment

(2014) Janet Gray et al.   INTERNATIONAL JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HEALTH

Municipal solid waste source-separated collection in China: A comparative analysis

(2011) Jun Tai et al.   WASTE MANAGEMENT

Recycling and recovery routes of plastic solid waste (PSW): A review

(2009) S.M. Al-Salem et al.   WASTE MANAGEMENT