[HTML][HTML] A systematic review of state-of-the-art technologies for monitoring plastic seafloor litter

M Sandra, LI Devriese, AM Booth, B De Witte… - Journal of Ocean …, 2023 - Elsevier
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 …

Detection of Underwater Marine Plastic Debris Using an Augmented Low Sample Size Dataset for Machine Vision System: A Deep Transfer Learning Approach

JC Hipolito, AS Alon, RV Amorado… - 2021 IEEE 19th …, 2021 - ieeexplore.ieee.org
Waste in aquatic environments devastates aquatic habitats and offers a tall environmental
and economical risk. Machine Vision might play a role in resolving this issue by detecting …

Deep Learning Innovations for Underwater Waste Detection: An In-Depth Analysis

JS Walia - arXiv preprint arXiv:2405.18299, 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 …

CNN Comparative Study for Apple Quality Classification

MS Ibrahim, SA Hamid, Z Muhammad… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
A reliable and efficient automated fruit grading process is needed to meet the market's
increased demand for good quality fruits. Automated systems based on image processing …

[PDF][PDF] Monitoring climate change effects on coral reefs using edge-based image segmentation

EA Awalludin, WNJHW Yussof, Z Bachok… - International Journal of …, 2024 - academia.edu
Coral reefs are valuable ecosystems that face vulnerability to climate change impacts.
Underwater images often encounter noise from various factors, such as water turbidity …

MEMS camera image processing for oil contamination detection

P Kulkarni, S Powar, N Satpute, S Jabade… - AIP Conference …, 2023 - pubs.aip.org
This study presents a novel technique using image processing for which detection and
measurement of oil contamination in water. The approach is to capture the water surface …

Image processing-based method for measurement of oil contamination in water

S Powar, P Kulkarni, N Satpute, S Jabade… - AIP Conference …, 2023 - pubs.aip.org
In the presented work an innovative method of measurement of oil contamination in water
based on image processing is discussed. The proposed approach of oil contamination …

Utilizing Image Recognition to Identify Water Quality in Polluted River Environments

Z Mansor, SMM Maharum, SBNA Ghani… - 2023 IEEE 9th …, 2023 - ieeexplore.ieee.org
As years goes by, river pollution cases are not a strange issue to be heard. Due to that case,
a project of image detection is being developed to contribute to finding the causes of river …

Service-Aware Q-Learning-Based Routing Protocol in the Underwater Acoustic Sensor Network

S ZHANG, H Chen, L Xie - Available at SSRN 4678942 - papers.ssrn.com
Due to the high bit error ratio, long propagation delay, low transmission bandwidth and
limited energy of sensor nodes, designing an appropriate routing protocol is an important …

[PDF][PDF] DeepSea Cluster: Detection and Classification of Anthropogenic Ocean Noise Using Satellite Images Jahir Uddina*, Mehedi Hassanb, Md. Mahbub Ul Haquec …

J Uddina - 2023 - researchgate.net
Anthropogenic ocean noise resulting from human activities can harm marine life and
ecosystems. However, traditional methods of measuring ocean noise are limited in spatial …