Results 21 to 30 of about 582,117 (303)

A Computer Vision System to Localize and Classify Wastes on the Streets [PDF]

, 2017
Littering quantification is an important step for improving cleanliness of cities. When human interpretation is too cumbersome or in some cases impossible, an objective index of cleanliness could reduce the littering by awareness actions.
Droux, Andre, Ekenel, Hazim Kemal, Ouerhani, Nabil, Rad, Mohammad Saeed, Thiran, Jean-Philippe, Tieche, Francois, von Kaenel, Andreas   +6 more
core   +2 more sources

The concept of waste and waste management [PDF]

, 2016
<p>Several studies and researches have been conducted on the sources and characteristics of wastes as well as the possible adverse effect of inappropriate handling and best international practices.
Amasuomo, Ebikapade, Baird, Jim
core   +1 more source

Solid Waste Management on a Campus in a Developing Country: A Study of the Indian Institute of Technology Roorkee

Recycling, 2019
The rates of waste generation in India have been increasing with increasing population and urbanization. Since higher education campuses are like mini autonomous cities, they can act as a model for solid waste management (SWM) and enhance sustainable ...
Nikhat Parvez, Avlokita Agrawal, Akhilesh Kumar   +2 more
doaj   +1 more source

Waste Detection System Based on Data Augmentation and YOLO_EC

Sensors, 2023
The problem of waste classification has been a major concern for both the government and society, and whether waste can be effectively classified will affect the sustainable development of human society.
Jinhao Fan, Lizhi Cui, Shumin Fei
doaj   +1 more source

Hazardous waste classification

, 2016
In European legislation, waste is classified either as hazardous or non-hazardous. Hazardous waste is a waste that due to its (intrinsic) chemical or other properties poses a risk to the environmen ...
Margareta Wahlstr�m, Jutta Laine-Ylijoki, Ola Wik, Anke Oberender, Ole Hjelmar   +4 more
openaire   +2 more sources

Intellectual property as complex innovation projects component [PDF]

, 1997
The materials presented the possibilities development of intellectual property complex innovation projects modern highly effective science-based problems of improving the use of wastes of different industries on a complex enterprise that can provide all ...
Bethke, S., Geitz, M., Hanke, K., Hüning, M., Ischebeck, R., Menzel, J., TESLA Collaboration, Tonutti, M., von Walter, G.   +8 more
core   +1 more source

Classification of waste materials with a smart garbage system for sustainable development: a novel model

Frontiers in Environmental Science, 2023
In today’s conditions, where the human population is increasing, environmental pollution is also increasing around the world. One of the most important causes of environmental pollution is the waste materials in the garbage.
Volkan Kaya
doaj   +1 more source

Hyperspectral imaging applied to end-of-life (EOL) concrete recycling [PDF]

, 2015
The recovery of materials from DW is an important target of the recycling industry and it is important to know which materials are presents in order to set up efficient sorting and/or quality control actions.
Bonifazi, Giuseppe, Palmieri, Roberta, Serranti, Silvia   +2 more
core   +1 more source

A Feature Selection Based on Improved Artificial Hummingbird Algorithm Using Random Opposition-Based Learning for Solving Waste Classification Problem

Mathematics, 2022
Recycling tasks are the most effective method for reducing waste generation, protecting the environment, and boosting the overall national economy. The productivity and effectiveness of the recycling process are strongly dependent on the cleanliness and ...
Mona A. S. Ali, Fathimathul Rajeena P. P., Diaa Salama Abd Elminaam   +2 more
doaj   +1 more source

Hierarchical Subquery Evaluation for Active Learning on a Graph [PDF]

, 2014
To train good supervised and semi-supervised object classifiers, it is critical that we not waste the time of the human experts who are providing the training labels.
Brostow, Gabriel J., Campbell, Neill D. F., Kautz, Jan, Mac Aodha, Oisin   +3 more
core   +3 more sources