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Effective monitoring of whale populations is critical for conservation, but traditional survey methods are expensive and difficult to scale. While prior work has shown that whales can be identified in very high-resolution (VHR) satellite…

Computer Vision and Pattern Recognition · Computer Science 2025-10-17 Caleb Robinson , Kimberly T. Goetz , Christin B. Khan , Meredith Sackett , Kathleen Leonard , Rahul Dodhia , Juan M. Lavista Ferres

With a number of marine populations in rapid decline, collecting and analyzing data about marine populations has become increasingly important to develop effective conservation policies for a wide range of marine animals, including whales.…

Computer Vision and Pattern Recognition · Computer Science 2024-10-02 Akshaj Gaur , Cheng Liu , Xiaomin Lin , Nare Karapetyan , Yiannis Aloimonos

Marine mammals are increasingly vulnerable to human disturbance and climate change. Their diving behavior leads to limited visual access during data collection, making studying the abundance and distribution of marine mammals challenging.…

Understanding and predicting interactions between predators and prey and their environment are fundamental for understanding food web structure, dynamics, and ecosystem function in both terrestrial and marine ecosystems.Thus, estimating the…

Methodology · Statistics 2023-08-29 H. Solvang , S. Imori , M. Biuw , U. Lindstrøm , T. Haug

Visual analysis of complex fish habitats is an important step towards sustainable fisheries for human consumption and environmental protection. Deep Learning methods have shown great promise for scene analysis when trained on large-scale…

Computer Vision and Pattern Recognition · Computer Science 2020-08-31 Alzayat Saleh , Issam H. Laradji , Dmitry A. Konovalov , Michael Bradley , David Vazquez , Marcus Sheaves

This paper proposes a web-based visual graph analytics platform for interactive graph mining, visualization, and real-time exploration of networks. GraphVis is fast, intuitive, and flexible, combining interactive visualizations with…

Social and Information Networks · Computer Science 2015-02-03 Nesreen K. Ahmed , Ryan A. Rossi

Oceanographers rely on visual analysis to interpret model simulations, identify events and phenomena, and track dynamic ocean processes. The ever increasing resolution and complexity of ocean data due to its dynamic nature and multivariate…

Information and understanding of fishing activities at sea are fundamental components of marine knowledge and maritime situational awareness. Such information is important to fisheries science, public authorities and policy makers. In this…

Other Computer Science · Computer Science 2016-06-07 Michele Vespe , Maurizio Gibin , Alfredo Alessandrini , Fabrizio Natale , Fabio Mazzarella , Giacomo C. Osio

Illegal fishing is prevalent throughout the world and heavily impacts the health of our oceans, the sustainability and profitability of fisheries, and even acts to destabilize geopolitical relations. To achieve the United Nations'…

Multiagent Systems · Computer Science 2019-10-15 James R. Watson , A. John Woodill

Agents of any metaheuristic algorithms are moving in two modes, namely exploration and exploitation. Obtaining robust results in any algorithm is strongly dependent on how to balance between these two modes. Whale optimization algorithm as…

AIS data from ships is excellent for analyzing single-ship movements and monitoring all ships within a specific area. However, the AIS data needs to be cleaned, processed, and stored before being usable. This paper presents a system…

Databases · Computer Science 2026-01-21 Alex S. Klitgaard , Lau E. Josefsen , Mikael V. Mikkelsen , Kristian Torp

Photographs, taken by field scientists, tourists, automated cameras, and incidental photographers, are the most abundant source of data on wildlife today. Wildbook is an autonomous computational system that starts from massive collections…

Critically endangered species in Canadian North Atlantic waters are systematically surveyed to estimate species populations which influence governing policies. Due to its impact on policy, population accuracy is important. This paper lays…

Computer Vision and Pattern Recognition · Computer Science 2023-03-23 Joshua Power , Derek Jacoby , Marc-Antoine Drouin , Guillaume Durand , Yvonne Coady , Julian Meng

Illegal wildlife poaching is driving the loss of biodiversity. To combat poaching, rangers patrol expansive protected areas for illegal poaching activity. However, rangers often cannot comprehensively search such large parks. Thus, the…

Machine Learning · Computer Science 2020-11-24 Rachel Guo , Lily Xu , Drew Cronin , Francis Okeke , Andrew Plumptre , Milind Tambe

Poaching continues to be a significant threat to the conservation of wildlife and the associated ecosystem. Estimating and predicting where the poachers have committed or would commit crimes is essential to more effective allocation of…

Computers and Society · Computer Science 2018-05-16 Swaminathan Gurumurthy , Lantao Yu , Chenyan Zhang , Yongchao Jin , Weiping Li , Haidong Zhang , Fei Fang

Visual analysis is well adopted within the field of oceanography for the analysis of model simulations, detection of different phenomena and events, and tracking of dynamic processes. With increasing data sizes and the availability of…

Data discovery from data lakes is an essential application in modern data science. While many previous studies focused on improving the efficiency and effectiveness of data discovery, little attention has been paid to the usability of such…

Databases · Computer Science 2025-04-04 Yihao Hu , Jin Wang , Sajjadur Rahman

Many of the world's most important fisheries are experiencing increases in illegal fishing, undermining efforts to sustainably conserve and manage fish stocks. A major challenge to ending illegal, unreported, and unregulated (IUU) fishing…

Machine Learning · Computer Science 2020-07-13 A. John Woodill , Maria Kavanaugh , Michael Harte , James R. Watson

Cultural Ecosystem Services (CES) assessment at large scales is crucial in marine ecosystems as they reflect key physical and cognitive interactions between humans and nature. The analysis of social media data with graph theory is a…

Social and Information Networks · Computer Science 2021-04-28 Silvia de Juan , Andres Ospina-Alvarez , Sebastián Villasante , Ana Ruiz-Frau

Dynamic graph visualization attracts researchers' concentration as it represents time-varying relationships between entities in multiple domains (e.g., social media analysis, academic cooperation analysis, team sports analysis). Integrating…

Human-Computer Interaction · Computer Science 2022-06-13 Baofeng Chang , Sujia Zhu , Qi Jiang , Wang Xia , Jingwei Tang , Lvhan Pan , Ronghua Liang , Guodao Sun
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