Results 31 to 40 of about 36,642 (249)

Quantifying Marine Macro Litter Abundance on a Sandy Beach Using Unmanned Aerial Systems and Object-Oriented Machine Learning Methods

Remote Sensing, 2020
Unmanned aerial systems (UASs) have recently been proven to be valuable remote sensing tools for detecting marine macro litter (MML), with the potential of supporting pollution monitoring programs on coasts.
Gil Gonçalves, Umberto Andriolo, Luísa Gonçalves, Paula Sobral, Filipa Bessa   +4 more
doaj   +1 more source

Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q)

Environmental Research Letters, 2020
Large quantities of mismanaged plastic waste are polluting and threatening the health of the blue planet. As such, vast amounts of this plastic waste found in the oceans originates from land.
Mattis Wolf, Katelijn van den Berg, Shungudzemwoyo P Garaba, Nina Gnann, Klaus Sattler, Frederic Stahl, Oliver Zielinski   +6 more
doaj   +1 more source

Beached and Floating Litter Surveys by Unmanned Aerial Vehicles: Operational Analogies and Differences

Remote Sensing, 2022
The abundance of litter pollution in the marine environment has been increasing globally. Remote sensing techniques are valuable tools to advance knowledge on litter abundance, distribution and dynamics. Images collected by Unmanned Aerial Vehicles (UAV,
Umberto Andriolo, Odei Garcia-Garin, Morgana Vighi, Asunción Borrell, Gil Gonçalves   +4 more
doaj   +1 more source

Deep learning for detecting macroplastic litter in water bodies: A review

Water Research, 2023
Plastic pollution in water bodies is an unresolved environmental issue that damages all aquatic environments, and causes economic and health problems. Accurate detection of macroplastic litter (plastic items >5 mm) in water is essential to estimate the quantities, compositions and sources, identify emerging trends, and design preventive measures or ...
Tianlong Jia, Zoran Kapelan, Rinze de Vries, Paul Vriend, Eric Copius Peereboom, Imke Okkerman, Riccardo Taormina   +6 more
openaire   +2 more sources

Detecting floating litter in freshwater bodies with adaptive feature fusion

Hydrology Research
As a key technology in water environmental management, the performance of the floating litter detection algorithm directly determines the pollution-monitoring effect.
Weichuan Ni, Bensheng Yang, Shitong Ye
doaj   +1 more source

A Generative Approach Towards Improved Robotic Detection of Marine Litter [PDF]

2020 IEEE International Conference on Robotics and Automation (ICRA), 2020
This paper presents an approach to address data scarcity problems in underwater image datasets for visual detection of marine debris. The proposed approach relies on a two-stage variational autoencoder (VAE) and a binary classifier to evaluate the generated imagery for quality and realism.
Jungseok Hong, Michael Fulton, Junaed Sattar   +2 more
openaire   +2 more sources

Optimizing Litter Detection in Images: An Integration of Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs)

IEEE Access
Robust litter detection from photographs is important in realizing cleaner landscapes and efficient waste disposal. Current approaches typically cannot spot small or partly occluded trash in dense backgrounds such as cities and jungles.
Dhananjay Kumar, P. William, Shashikant Raghunathrao Deshmukh, A. Sharmila, Keshav Kaushik, J. Shreyas   +5 more
doaj   +1 more source

Assessing the role of habitat and species interactions in the population decline and detection bias of Neotropical leaf litter frogs in and around La Selva Biological Station, Costa Rica [PDF]

Neotropical Biology and Conservation, 2019
Worldwide, amphibian populations have been declining rapidly. This decline can be attributed to many factors including climate change, pesticide exposure, and emerging infectious diseases, among other important factors, but few studies have examined the ...
Maria D. Vera Alvarez, Christopher Fernandez, Michael V. Cove   +2 more
doaj   +3 more sources

Impact of short-term storage on the quantity of extended-spectrum beta-lactamase–producing Escherichia coli in broiler litter under practical conditions

Poultry Science, 2020
Applying broiler litter containing extended-spectrum beta-lactamase (ESBL)–producing Escherichia coli (E. coli) to arable land poses a potential risk for humans to get colonized by contact with contaminated soil or vegetables.
Paul Siller, Katrin Daehre, Nadine Thiel, Ulrich Nübel, Uwe Roesler   +4 more
doaj   +1 more source

The C‐terminal region of KIF26B is indispensable for nephron progenitor condensation and kidney formation in mice

FEBS Open Bio, EarlyView.
KIF26B plays an important role in kidney development. We engineered mice lacking the C‐terminal region of KIF26B and found severe kidney defects, including bilateral renal agenesis, similar to full Kif26b knockout mice. The mutation disrupted nephron progenitor condensation and reduced Gdnf‐Wnt11 signaling, showing that the KIF26B C‐terminal region is ...
Yuta Yamamura, Kengo Furuichi, Hiromitsu Akamatsu, Naoki Yamamoto, Sako Keisuke, Akihiko Koshino, Taichiro Minami, Megumi Oshima, Akinori Hara, Norihiko Sakai, Miho Shimizu, Kenta Takahashi, Minako Yamamura, Shin‐ichi Horike, Takiko Daikoku, Kenichi Harada, Yohei Shinmyo, Hiroshi Kawasaki, Takashi Wada, Yasunori Iwata   +19 more
wiley   +1 more source