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Fine particulate matter (PM2.5) measured at a given location is a mix of pollution generated locally and pollution traveling long distances in the atmosphere. Therefore, the identification of spatial scales associated with health effects…

Methodology · Statistics 2016-09-19 Joseph Antonelli , Joel Schwartz , Itai Kloog , Brent Coull

Learning hydrologic models for accurate riverine flood prediction at scale is a challenge of great importance. One of the key difficulties is the need to rely on in-situ river discharge measurements, which can be quite scarce and…

Machine Learning · Computer Science 2019-01-04 Yotam Gigi , Gal Elidan , Avinatan Hassidim , Yossi Matias , Zach Moshe , Sella Nevo , Guy Shalev , Ami Wiesel

This study combines photo metadata and computer vision to quantify where uncollected litter is present. Images from the Trash Annotations in Context (TACO) dataset were used to teach an algorithm to detect 10 categories of garbage. Although…

Computer Vision and Pattern Recognition · Computer Science 2024-09-02 Julian Hernandez , Clark Fitzgerald

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…

Robotics · Computer Science 2024-08-06 Ziddane Isahaku

High-resolution satellite imagery available immediately after disaster events is crucial for response planning as it facilitates broad situational awareness of critical infrastructure status such as building damage, flooding, and…

Computer Vision and Pattern Recognition · Computer Science 2021-11-09 Danil Kuzin , Olga Isupova , Brooke D. Simmons , Steven Reece

Where are the Earth's streams flowing right now? Inland surface waters expand with floods and contract with droughts, so there is no one map of our streams. Current satellite approaches are limited to monthly observations that map only the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-17 Dolores Garcia , Gonzalo Mateo-Garcia , Hannes Bernhardt , Ron Hagensieker , Ignacio G. Lopez Francos , Jonathan Stock , Guy Schumann , Kevin Dobbs , Freddie Kalaitzis

Waste is a wealth in a wrong place. Our research focuses on analyzing possibilities for automatic waste sorting and collecting in such a way that helps it for further recycling process. Various approaches are being practiced managing waste…

Computer Vision and Pattern Recognition · Computer Science 2020-08-17 Dipesh Gyawali , Alok Regmi , Aatish Shakya , Ashish Gautam , Surendra Shrestha

Forests are vital for the wellbeing of our planet. Large and small scale deforestation across the globe is threatening the stability of our climate, forest biodiversity, and therefore the preservation of fragile ecosystems and our natural…

Methodology · Statistics 2022-05-25 Johannes N. Hansen , Edward T. A. Mitchard , Stuart King

The road freight sector is responsible for a large and growing share of greenhouse gas emissions, but reliable data on the amount of freight that is moved on roads in many parts of the world are scarce. Many low- and middle-income countries…

Computers and Society · Computer Science 2019-07-18 Lynn H. Kaack , George H. Chen , M. Granger Morgan

Improper disposal of e-waste poses global environmental and health risks, raising serious concerns. The accurate classification of e-waste images is critical for efficient management and recycling. In this paper, we have presented a…

Computer Vision and Pattern Recognition · Computer Science 2023-11-23 Niful Islam , Md. Mehedi Hasan Jony , Emam Hasan , Sunny Sutradhar , Atikur Rahman , Md. Motaharul Islam

The use of satellite imagery has become increasingly popular for disaster monitoring and response. After a disaster, it is important to prioritize rescue operations, disaster response and coordinate relief efforts. These have to be carried…

Computers and Society · Computer Science 2018-12-19 Jigar Doshi , Saikat Basu , Guan Pang

Floods cause extensive global damage annually, making effective monitoring essential. While satellite observations have proven invaluable for flood detection and tracking, comprehensive global flood datasets spanning extended time periods…

Computer Vision and Pattern Recognition · Computer Science 2025-04-30 Amit Misra , Kevin White , Simone Fobi Nsutezo , William Straka , Juan Lavista

Climate change is leading to an increase in extreme weather events, causing significant environmental damage and loss of life. Early detection of such events is essential for improving disaster response. In this work, we propose…

Computer Vision and Pattern Recognition · Computer Science 2025-06-16 Heng Fang , Hossein Azizpour

The complex marine environment exacerbates the challenges of object detection manifold. Marine trash endangers the aquatic ecosystem, presenting a persistent challenge. Accurate detection of marine deposits is crucial for mitigating this…

Computer Vision and Pattern Recognition · Computer Science 2024-08-05 Muhammad Ali , Salman Khan

Monitoring water contaminants is of paramount importance, ensuring public health and environmental well-being. Turbidity, a key parameter, poses a significant problem, affecting water quality. Its accurate assessment is crucial for…

Computer Vision and Pattern Recognition · Computer Science 2024-01-09 Francesca Razzano , Francesco Mauro , Pietro Di Stasio , Gabriele Meoni , Marco Esposito , Gilda Schirinzi , Silvia Liberata Ullo

In this work we propose and numerically analyze an algorithm for detection of a contaminant source using a dynamic sensor network. The algorithm is motivated using a global probabilistic optimization problem and is based on the analysis of…

Probability · Mathematics 2015-10-21 Sergio A. Almada Monter , Amarjit Budhiraja , Jan Hannig

Automotive radar sensors output a lot of unwanted clutter or ghost detections, whose position and velocity do not correspond to any real object in the sensor's field of view. This poses a substantial challenge for environment perception…

Computer Vision and Pattern Recognition · Computer Science 2021-08-30 Johannes Kopp , Dominik Kellner , Aldi Piroli , Klaus Dietmayer

Surface water dynamics play a critical role in Earth's climate system, influencing ecosystems, agriculture, disaster resilience, and sustainable development. Yet monitoring rivers and surface water at fine spatial and temporal scales…

Segregation of garbage is a primary concern in many nations across the world. Even though we are in the modern era, many people still do not know how to distinguish between organic and recyclable waste. It is because of this that the world…

Computer Vision and Pattern Recognition · Computer Science 2022-02-25 Jash Shah , Sagar Kamat

The ability to navigate, search, and monitor dynamic marine environments such as ports, deltas, tributaries, and rivers presents several challenges to both human operated and autonomously operated surface vehicles. Human data collection and…

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