Results 41 to 50 of about 36,642 (249)

Emerging Technologies for Remote Sensing of Floating and Submerged Plastic Litter

open access: yesRemote Sensing
Most advances in the remote sensing of floating marine plastic litter have been made using passive remote-sensing techniques in the visible (VIS) to short-wave-infrared (SWIR) parts of the electromagnetic spectrum based on the spectral absorption ...
Lonneke Goddijn-Murphy   +6 more
doaj   +1 more source

Litter Detection using SSD Mobilenet V2

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: It is a frequent sight to see people throwing banana peels, tin cans, plastic covers and bottles. Many people while using roads spit there and throw wrappers and other wastes on the roadsides. It is disappointing to see the laziness and indifference of people ruining our environment.
openaire   +1 more source

Mineral Deposition From Liquid Precursors Triggered by Complementary Polyelectrolytes

open access: yesAdvanced Functional Materials, EarlyView.
Polyelectrolyte additives can delay or prevent crystal nucleation in supersaturated solutions of insoluble mineral salts such as calcium carbonate. This work reports that adding a second, oppositely‐charged polyelectrolyte leads to immediate mineral crystallization from such metastable solutions.
Mohammed Kayes Patoary   +6 more
wiley   +1 more source

Comparative Review of Remote Sensing Methods for Ocean Plastic Litter Detection

open access: yesIEEE Access
Marine ecosystems are significantly threatened by plastic litter, hence, effective detection and monitoring techniques are necessary. The identification and classification of ocean plastic litter is made possible by the development of remote sensing (RS)
Tamuka N. Samuriwo   +4 more
doaj   +1 more source

Learning Using Privileged Information for Litter Detection

open access: yes2025 13th European Workshop on Visual Information Processing (EUVIP)
This paper was accepted at the 13th European Workshop on Visual Information Processing (EUVIP 2025)
Matthias Bartolo   +2 more
openaire   +2 more sources

Detection of plastic litter using an ARIS sonar [PDF]

open access: yes, 2021
Contains fulltext : 234916.pdf (Publisher’s version ) (Open Access)
Flores, N.Y., Collas, F.P.L.
openaire  

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

open access: yesAdvanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair   +3 more
wiley   +1 more source

Nanoporous Silica Embedded in Nanoporous Platinum: A Versatile Composite Coating for Implant‐Associated Drug Delivery From Neuronal Electrodes

open access: yesAdvanced Materials Technologies, EarlyView.
Nanoporous silica nanoparticles incorporated in nanoporous platinum offer the possibility for implant‐associated drug delivery from neuronal electrodes. ABSTRACT Sensorineural hearing loss, resulting from damage to the hair cells of the inner ear, profoundly impairs quality of life.
Mosaieb Habib   +10 more
wiley   +1 more source

The BeachLitter dataset for image segmentation of beach litter

open access: yesData in Brief, 2022
This dataset consists of 3500 images of beach litter and 3500 corresponding pixel-wise labelled images. Although performing such pixel-by-pixel semantic masking is expensive, it allows us to build machine-learning models that can perform more ...
Daisuke Sugiyama   +4 more
doaj   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

open access: yesAdvanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder   +3 more
wiley   +1 more source

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