Applications of convolutional neural networks for intelligent waste identification and recycling: A review

TW Wu, H Zhang, W Peng, F Lü, PJ He - Resources, Conservation and …, 2023 - Elsevier
With the implementations of “Zero Waste” and Industry 4.0, the rapidly increasing
applications of artificial intelligence in waste management have generated a large amount of …

[HTML][HTML] Close-range remote sensing-based detection and identification of macroplastics on water assisted by artificial intelligence: a review

N Gnann, B Baschek, TA Ternes - Water Research, 2022 - Elsevier
Detection and identification of macroplastic debris in aquatic environments is crucial to
understand and counter the growing emergence and current developments in distribution …

[HTML][HTML] Waste classification for sustainable development using image recognition with deep learning neural network models

M Malik, S Sharma, M Uddin, CL Chen, CM Wu, P Soni… - Sustainability, 2022 - mdpi.com
The proper handling of waste is one of the biggest challenges of modern society. Municipal
Solid Waste (MSW) requires categorization into a number of types, including bio, plastic …

[HTML][HTML] Detection of river plastic using UAV sensor data and deep learning

N Maharjan, H Miyazaki, BM Pati, MN Dailey… - Remote Sensing, 2022 - mdpi.com
Plastic pollution is a critical global issue. Increases in plastic consumption have triggered
increased production, which in turn has led to increased plastic disposal. In situ observation …

Using artificial intelligence to support marine macrolitter research: a content analysis and an online database

DV Politikos, A Adamopoulou, G Petasis… - Ocean & Coastal …, 2023 - Elsevier
Marine scientists use a variety of collection and monitoring methods to survey macrolitter in
aquatic environments, aiming to assess the level of pollution and design mitigation actions …

[HTML][HTML] The PlastOPol system for marine litter monitoring by citizen scientists

D Wu, J Liu, M Cordova, CC Hellevik, JB Cyvin… - … Modelling & Software, 2023 - Elsevier
Marine plastic pollution has in recent decades become ubiquitous, posing threats to flora,
fauna, and potentially human health. Proper monitoring and registration of litter occurrences …

[HTML][HTML] An experimental study on marine debris location and recognition using object detection

A Sánchez-Ferrer, JJ Valero-Mas, AJ Gallego… - Pattern Recognition …, 2023 - Elsevier
The large amount of debris in our oceans is a global problem that dramatically impacts
marine fauna and flora. While a large number of human-based campaigns have been …

[HTML][HTML] The role of citizen science mobile apps in facilitating a contemporary digital agora

GG Hognogi, M Meltzer, F Alexandrescu… - Humanities and Social …, 2023 - nature.com
The advancements in digital technologies, especially for mobile apps, enabled simplified
data collection methods. Consequently, through Citizen Science, numerous opportunities …

[HTML][HTML] On-Shore Plastic Waste Detection with YOLOv5 and RGB-Near-Infrared Fusion: A State-of-the-Art Solution for Accurate and Efficient Environmental …

O Tamin, EG Moung, JA Dargham, F Yahya… - Big Data and Cognitive …, 2023 - mdpi.com
Plastic waste is a growing environmental concern that poses a significant threat to onshore
ecosystems, human health, and wildlife. The accumulation of plastic waste in oceans has …

Automatic Medical Face Mask Recognition for COVID-19 Mitigation: Utilizing YOLO V5 Object Detection.

C Dewi, HJ Christanto - Revue d'Intelligence Artificielle, 2023 - search.ebscohost.com
The ongoing COVID-19 pandemic has significantly affected global public health,
necessitating protective measures such as wearing face masks to reduce the spread of the …