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Microplastics (MPs) are ubiquitous pollutants with demonstrated potential to impact ecosystems and human health. Their microscopic size complicates detection, classification, and removal, especially in biological and environmental samples.…

计算机视觉与模式识别 · 计算机科学 2025-10-22 Paul-Tiberiu Miclea , Martin Sboron , Hardik Vaghasiya , Hoang Thinh Nguyen , Meet Gadara , Thomas Schmid

Microplastics, defined as plastic particles smaller than 5 millimeters, have become a pervasive environmental contaminant that accumulates on beaches due to wind patterns and tidal forcing. Detecting microplastics and mapping their…

机器人学 · 计算机科学 2025-08-06 Hassan Iqbal , Kobiny Rex , Joseph Shirley , Carlos Baiz , Christian Claudel

Accurately measuring the size, morphology, and structure of nanoparticles is very important, because they are strongly dependent on their properties for many applications. In this paper, we present a deep-learning based method for…

The detection and classification of microplastics in water remain a significant challenge due to their diverse properties and the limitations of traditional optical methods. Standard spectroscopic techniques often suffer from the strong…

计算机视觉与模式识别 · 计算机科学 2026-03-25 Leonard Saur , Marc von Pawlowski , Ulrich Gengenbach , Ingo Sieber , Hossein Shirali , Lorenz Wührl , Xiangyu Weng , Rainer Kiko , Christian Pylatiuk

Marine plastic pollution is an emerging environmental problem since it pollutes the ocean, air and food whilst endangering the ocean wildlife via the ingestion and entanglements. During the last decade, an enormous effort has been spent on…

图像与视频处理 · 电气工程与系统科学 2023-11-15 Oktay Karakuş

Microplastics are increasingly recognized as a global environmental health threat, yet their detection and characterization remain constrained by the cost, form factor, and throughput of existing analytical tools. Portable…

Plastic waste entering the riverine harms local ecosystems leading to negative ecological and economic impacts. Large parcels of plastic waste are transported from inland to oceans leading to a global scale problem of floating debris…

计算机视觉与模式识别 · 计算机科学 2023-07-25 Nathaniel Hanson , Ahmet Demirkaya , Deniz Erdoğmuş , Aron Stubbins , Taşkın Padır , Tales Imbiriba

Combining multi-spectral satellite data and machine learning has been suggested as a method for monitoring plastic pollutants in the ocean environment. Recent studies have made theoretical progress regarding the identification of marine…

图像与视频处理 · 电气工程与系统科学 2023-05-03 Henry Booth , Wanli Ma , Oktay Karakus

With the prevalence of plastics exceeding 368 million tons yearly, microplastic pollution has grown to an extent where air, water, soil, and living organisms have all tested positive for microplastic presence. These particles, which are…

计算机视觉与模式识别 · 计算机科学 2025-08-27 Riju Marwah , Riya Arora , Navneet Yadav , Himank Arora

Since their invention, plastics have become ubiquitous in modern societies all around the world, and their impact on the environment has, in recent years, become nearly as well-known. Plastics produced by humans have reached nearly every…

机器人学 · 计算机科学 2024-08-06 Ziddane Isahaku

Plastic has imbibed itself as an indispensable part of our day to day activities, becoming a source of problems due to its non-biodegradable nature and cheaper production prices. With these problems, comes the challenge of mitigating and…

计算机视觉与模式识别 · 计算机科学 2024-09-01 Amardeep Singh , Charles Jia , Donald Kirk

Nanoparticles occur in various environments as a consequence of man-made processes, which raises concerns about their impact on the environment and human health. To allow for proper risk assessment, a precise and statistically relevant…

Accurately quantifying and removing submerged underwater waste plays a crucial role in safeguarding marine life and preserving the environment. While detecting floating and surface debris is relatively straightforward, quantifying submerged…

计算机视觉与模式识别 · 计算机科学 2023-09-28 Jaskaran Singh Walia , Karthik Seemakurthy

Detecting and quantifying marine pollution and macro-plastics is an increasingly pressing ecological issue that directly impacts ecology and human health. Efforts to quantify marine pollution are often conducted with sparse and expensive…

计算机视觉与模式识别 · 计算机科学 2023-07-06 Marc Rußwurm , Sushen Jilla Venkatesa , Devis Tuia

Micro- and nanoplastics pose a growing threat to marine organisms, such as reef-building corals. Yet, our understanding of microplastic uptake, interaction with coral tissue, and incorporation into coral skeletons remains limited, mainly…

生物物理 · 物理学 2025-11-04 Vera M. Titze , Jessica Reichert , Marcel Schubert , Malte C. Gather

Plastic pollution is a critical environmental issue, and detecting and monitoring plastic litter is crucial to mitigate its impact. This paper presents the methodology of mapping street-level litter, focusing primarily on plastic waste and…

计算机视觉与模式识别 · 计算机科学 2024-01-29 Sriram Reddy Mandhati , N. Lakmal Deshapriya , Chatura Lavanga Mendis , Kavinda Gunasekara , Frank Yrle , Angsana Chaksan , Sujit Sanjeev

The size- and fluorescence-based sorting of micro- and nano-scale particles suspended in fluid presents a significant and important challenge for both sample analysis and for manufacturing of nanoparticle-based products. Here we demonstrate…

软凝聚态物质 · 物理学 2015-02-16 Sukumar Rajauria , Christopher Axline , Claudia Gottstein , Andrew N. Cleland

Currently the extent of nanoplastic in the environment can only be estimated by extrapolation from the plastic waste that can be detected. To be able to quantify the whole extent of the problem, detection methods have to be developed that…

光学 · 物理学 2025-11-12 Ambika Shorny , Fritz Steiner , Helmut Hörner , Sarah M. Skoff

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 water bodies is straightforward, assessing the underwater…

计算机视觉与模式识别 · 计算机科学 2024-11-22 Jaskaran Singh Walia , Pavithra L K

The deep learning revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. These new methods provide analysis of data from sensors, cameras,…

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