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CompostNet: An Image Classifier for Meal Waste

2019 IEEE Global Humanitarian Technology Conference (GHTC), 2019
Many businesses, cafes, and outdoor spaces provide trash, recycling, and composting bins, requiring consumers to decipher instructional text, icons, or images in order to sort their waste accurately. It can be confusing to know what pieces of waste go in which bin. Moreover, different areas may have different rules for how to separate waste, and people
Rakshit Agrawal, Angus G Forbes
exaly   +2 more sources

Waste Classifier using Naive Bayes Algorithm

2022 10th International Conference on Cyber and IT Service Management (CITSM), 2022
Muhammad Agreindra Helmiawan
exaly   +2 more sources

Waste management system - A wastage classifier using DeepLearning with IoT

2023 International Conference on Computer Communication and Informatics (ICCCI), 2023
R.S. Sathyanarayanan   +2 more
exaly   +2 more sources

CLASSIFYING AND MANAGING OF ASBESTOS CONTAINING WASTE: ITALIAN EXPERIENCE

Proceeding of the World Conference on Waste Management, 2022
: Until the 1990s Italy was the first world producer of asbestos, although in 1992 it became one of the first countries to ban this substance internationally, introducing law 257/1992, which prohibits the extraction and production of asbestos and asbestos containing products.
Paglietti Federica   +4 more
openaire   +2 more sources

ON THE ISSUE OF AMENDING GOVERNMENT DECREE NO. 1069 DATED 19.10.2012 “ON THE CRITERIA FOR CLASSIFYING SOLID, LIQUID AND GASEOUS WASTE AS RADIOACTIVE WASTE, THE CRITERIA FOR CLASSIFYING RADIOACTIVE WASTE AS SPECIAL RADIOACTIVE WASTE AND DISPOSABLE RADIOACTIVE WASTE, AND THE CRITERIA FOR CLASSIFYING DISPOSABLE RADIOACTIVE WASTE”

ЯДЕРНАЯ И РАДИАЦИОННАЯ БЕЗОПАСНОСТЬ, 2023
Постановление Правительства Российской Федерации от 19.10.2012 № 1069 «О критериях отнесения твердых, жидких и газообразных отходов к радиоактивным отходам, критериях отнесения радиоактивных отходов к особым радиоактивным отходам и к удаляемым радиоактивным отходам и критериях классификации удаляемых радиоактивных отходов» (далее – Постановление ...
openaire   +1 more source

Comparing Pulsing Classifiers for Waste‐to‐Energy

Journal of Energy Engineering, 1986
Field experience with air classifiers in waste-to-energy has indicated the need for redesign. Previous work indicates a need to achieve separation based more on density and less on aerodynamic characteristics than is possible with current classifier technology.
Richard Ian Stessel, J. Jeffrey Peirce
openaire   +1 more source

Don’t Waste the Medical Waste: Reducing Improperly Classified Hazardous Waste in a Medical Facility

Journal of Emerging Investigators, 2018
Hospitals in the United States generate over one million tons of waste each year, approximately a quarter of which is classified as hazardous medical waste. There are environmental, infectious, and financial burdens associated with this waste, and those burdens increase significantly when the waste is hazardous.
Danny Hemani   +2 more
openaire   +1 more source

Preliminary study of the pyrolysis of steam classified municipal solid waste

Applied Biochemistry and Biotechnology, 1997
Steam classified municipal solid waste (MSW) has been studied for use as a combustion fuel, feedstock for composting, and cellulytic enzyme hydrolysis. A preliminary study has been conducted using a prototype plasma arc pyrolysis system (in cooperation with Plasma Energy Applied Technology Inc., Huntsville, AL) to convert the steam classified MSW into ...
J M, Sebghati, M H, Eley
openaire   +2 more sources

Optimization of Classified Municipal Waste Collection Based on the Internet of Connected Vehicles

IEEE Transactions on Intelligent Transportation Systems, 2021
The development of 5G technology has brought the information revolution of the Internet of Things (IoT). With the emergence of intelligent products, such as the Internet of connected vehicles (IoCV) and wireless sensor nodes, the classification and disposal of municipal waste is now more intelligent and efficient.
Bin Cao 0005   +4 more
openaire   +1 more source

A Deep Convolutional Neural Network for classifying waste containers as full or not full

2019 IEEE International Smart Cities Conference (ISC2), 2019
There is a common understanding that cleanliness is somehow proportional to the economic development of a country. Thus, in order to become clean, a country needs to have an efficient garbage monitoring system. One important component of such a system is garbage collection time because if we delay emptying the bins, the trash ends up to putting public ...
Bania Julio Fonseca   +2 more
openaire   +1 more source

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