[HTML][HTML] Deep learning for detecting macroplastic litter in water bodies: A review
Plastic pollution in water bodies is an unresolved environmental issue that damages all
aquatic environments, and causes economic and health problems. Accurate detection of …
aquatic environments, and causes economic and health problems. Accurate detection of …
Using artificial intelligence to support marine macrolitter research: a content analysis and an online database
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 …
aquatic environments, aiming to assess the level of pollution and design mitigation actions …
MLDet: Towards efficient and accurate deep learning method for Marine Litter Detection
The relentless growth of plastic manufacturing since the 1980s has resulted in significant
accumulation of litter throughout the ocean. Cleaning up this litter manually poses a major …
accumulation of litter throughout the ocean. Cleaning up this litter manually poses a major …
[HTML][HTML] A systematic review of state-of-the-art technologies for monitoring plastic seafloor litter
Plastic litter has been widely documented in our oceans, leading to growing worldwide
concerns regarding its potential impact on the marine environment. A large proportion of this …
concerns regarding its potential impact on the marine environment. A large proportion of this …
How high-tech solutions support the fight against IUU and ghost fishing: a review of innovative approaches, methods, and trends
Illegal, Unreported, and Unregulated fishing is a major threat to human food supply and
marine ecosystem health. Not only is it a cause of significant economic loss but also its …
marine ecosystem health. Not only is it a cause of significant economic loss but also its …
[HTML][HTML] Monitoring Aquatic Debris in a Water Environment Using a Remotely Operated Vehicle (ROV): A Comparative Study with Implications of Algal Detection in …
J Lawrence, N Castelnuovo, R Bettinetti - Environments, 2024 - mdpi.com
This study investigates underwater debris in a freshwater lake using remotely operated
vehicles (ROVs) during two distinct survey periods: 2019 and 2024. The primary objective …
vehicles (ROVs) during two distinct survey periods: 2019 and 2024. The primary objective …
Deep learning Innovations for Underwater Waste Detection: An In-Depth Analysis
JS Walia, K Mehta, S Harshavardhana… - arxiv preprint arxiv …, 2024 - arxiv.org
Addressing the issue of submerged underwater trash is crucial for safeguarding aquatic
ecosystems and preserving marine life. While identifying debris present on the surface of …
ecosystems and preserving marine life. While identifying debris present on the surface of …
[HTML][HTML] Acoustic Imaging Learning-Based Approaches for Marine Litter Detection and Classification
This paper introduces an advanced acoustic imaging system leveraging multibeam water
column data at various frequencies to detect and classify marine litter. This study …
column data at various frequencies to detect and classify marine litter. This study …
Machine Learning based Object Detection to Protect Marine Ecosystem
VB Prakash, D Shirisha, GS Reddy… - 2023 7th …, 2023 - ieeexplore.ieee.org
The majority of the earth's water bodies are currently contaminated. This occurs primarily as
a result of massive amounts of waste being dumped into it. The majority of the garbage is …
a result of massive amounts of waste being dumped into it. The majority of the garbage is …
Assessment of palladium nanoparticles as chemical modifier for lead determination in leached extracts from petroleum waste by high-resolution continuum source …
Palladium nanoparticles were evaluated as a potential chemical modifier for lead
determination by high-resolution continuum source graphite furnace atomic absorption …
determination by high-resolution continuum source graphite furnace atomic absorption …