Results 1 to 10 of about 33,774 (185)
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 +6 more
core +4 more sources
AI Based Waste Classifier With Thermo-Rapid Composting [PDF]
2020 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS), 2020 4 pages, 8 figures ...
Haariharan N C
exaly +3 more sources
Smart waste classification in IoT-enabled smart cities using VGG16 and Cat Swarm Optimized random forest. [PDF]
PLoS ONEEffective waste management is becoming a crucial component of sustainable urban development as smart technologies are used by smart cities more and more. Smart trash categorization systems provided by IoT may greatly enhance garbage sorting and recycling
Akshat Gaurav +6 more
doaj +2 more sources
Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques [PDF]
Scientific ReportsThe expansion of LEAN and small batch manufacturing demands flexible automated workstations capable of switching between sorting various wastes over time.
Arso M. Vukicevic +6 more
doaj +2 more sources
Current Research in BiotechnologyThe production of biopeptides from food waste through microbial fermentation faces challenges arising from the diverse proteolytic abilities of microorganisms and substrate variability, impacting both the quality and yield of generated biopeptides.
Victor Borin Centurion +6 more
doaj +3 more sources
ProWaste for proactive urban waste management using IoT and machine learning [PDF]
Scientific ReportsUrban waste-collection centres (WCCs) routinely overflow because maintenance routes are scheduled reactively rather than on data-driven forecasts. Overspill, odour, and leachate therefore threaten public health and sustainability targets in rapidly ...
Thompson Stephan +5 more
doaj +2 more sources
A Deep Learning Approach to Manage and Reduce Plastic Waste in the Oceans [PDF]
E3S Web of Conferences, 2022 The accumulation of plastic objects in the Earth’s environment will adversely affect wildlife, wildlife habitat, and humans. The huge amount of unrecycled plastic ends up in landfill and thrown into unregulated dump sites.
El zaar Abdellah +5 more
doaj +1 more source
Remote Sensing, 2023 This article presents a method to detect and segment mine waste deposits, specifically waste rock dumps and leaching wasted dumps, in Sentinel-2 satellite imagery using artificial intelligence.
Manuel Silva +3 more
doaj +1 more source
Detection of Waste Plastics in the Environment: Application of Copernicus Earth Observation Data
Remote Sensing, 2022 The detection of waste plastics in the marine and terrestrial environment using satellite Earth Observation data offers the possibility of large-scale mapping and reducing on-the-ground manual investigation.
Samantha Lavender
doaj +1 more source
Distribution of Heterogeneous, Highly Impure Soy Material in a Deep Air Channel
Сельскохозяйственные машины и технологии, 2023 The paper highlights a lack of machines and equipment capable of cleaning highly impure soybean material efficiently and productively. Most of the existing grain cleaning machines are designed for the materials conforming to GOST 17109-88 that specifies ...
M. N. Moskovskiy, S. I. Borzenko
doaj +1 more source