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Human-elephant conflict (HEC) is rising across India as habitat loss and expanding human settlements force elephants into closer contact with people. While the ecological drivers of conflict are well-studied, how the news media portrays…

Artificial Intelligence · Computer Science 2026-05-14 Bonala Sai Punith , Salveru Jayati , Garima Shakya , Shubham Kumar Nigam

The rapid global loss of biodiversity, particularly among insects, represents an urgent ecological crisis. Current methods for insect species discovery are manual, slow, and severely constrained by taxonomic expertise, hindering timely…

In this paper we introduce a new framework to detect elephant flows at very high speed rates and under uncertainty. The framework provides exact mathematical formulas to compute the detection likelihood and introduces a new flow…

Networking and Internet Architecture · Computer Science 2018-10-03 Jordi Ros-Giralt , Alan Commike , Sourav Maji , Malathi Veeraraghavan

Bird strikes pose a significant threat to aviation safety, often resulting in loss of life, severe aircraft damage, and substantial financial costs. Existing bird strike prevention strategies primarily rely on avian radar systems that…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Elaheh Sabziyan Varnousfaderani , Syed A. M. Shihab , Jonathan King

The predator/prey (capture) problem is a prototype of many network-related applications. We study the capture process on complex networks by considering multiple predators from multiple sources. In our model, some lions start from multiple…

Physics and Society · Physics 2017-04-05 Rajput Ramiz Sharafat , Jie Li , Cunlai Pu , Rongbin Chen

Experts combating wildlife trafficking manually sift through articles about seizures and arrests, which is time consuming and make identifying trends difficult. We apply natural language processing techniques to automatically extract data…

Information Retrieval · Computer Science 2022-07-19 Devin Coughlin , Maylee Gagnon , Victoria Grasso , Guanyi Mou , Kyumin Lee , Renata Konrad , Patricia Raxter , Meredith Gore

We apply genetic programming techniques to the `shepherding' problem, in which a group of one type of animal (sheep dogs) attempts to control the movements of a second group of animals (sheep) obeying flocking behavior. Our genetic…

Artificial Intelligence · Computer Science 2016-03-22 Joshua Brulé , Kevin Engel , Nick Fung , Isaac Julien

Forest carbon offsets are increasingly popular and can play a significant role in financing climate mitigation, forest conservation, and reforestation. Measuring how much carbon is stored in forests is, however, still largely done via…

Computer Vision and Pattern Recognition · Computer Science 2021-08-20 Gyri Reiersen , David Dao , Björn Lütjens , Konstantin Klemmer , Xiaoxiang Zhu , Ce Zhang

Elasmobranch populations are experiencing significant global declines, and several species are currently classified as threatened. Reliable monitoring and species-level identification are essential to support conservation and spatial…

Population size is a key metric for management and conservation. This is especially true for large carnivore populations for which management decisions are often based on population size estimates. In France, gray wolves (Canis lupus) have…

Populations and Evolution · Quantitative Biology 2026-02-24 Cyril Milleret , Christophe Duchamp , Sarah Bauduin , Cecile Kaerle , Agathe Pirog , Guillaume Queney , Olivier Gimenez

As of 2023, a record 117 million people have been displaced worldwide, more than double the number from a decade ago [22]. Of these, 32 million are refugees under the UNHCR mandate, with 8.7 million residing in refugee camps. A critical…

Computer Vision and Pattern Recognition · Computer Science 2024-12-12 Simone Fobi Nsutezo , Amrita Gupta , Duncan Kebut , Seema Iyer , Luana Marotti , Rahul Dodhia , Juan M. Lavista Ferres , Anthony Ortiz

Cropland maps are essential for remote sensing-based agricultural monitoring, providing timely insights without extensive field surveys. Machine learning enables large-scale mapping but depends on geo-referenced ground-truth data, which is…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 Joaquin Gajardo , Michele Volpi , Daniel Onwude , Thijs Defraeye

Foraging site constancy, or repeated return to the same foraging location, is a foraging strategy used by many species to decrease uncertainty, but it is often unclear exactly how the foraging site is identified. Here we focus on the…

Populations and Evolution · Quantitative Biology 2025-03-27 Sarah A. MacQueen , Clara F. Hardy , W. John Braun , Rebecca C. Tyson

This paper introduces the first dataset of satellite images labeled with forage quality by on-the-ground experts and provides proof of concept for applying computer vision methods to index-based drought insurance. We also present the…

Computer Vision and Pattern Recognition · Computer Science 2020-04-27 Andrew Hobbs , Stacey Svetlichnaya

The preservation of the Amazon Rainforest is one of the global priorities in combating climate change, protecting biodiversity, and safeguarding indigenous cultures. The Satellite-based Monitoring Project of Deforestation in the Brazilian…

Computer Vision and Pattern Recognition · Computer Science 2025-12-10 Christian Massao Konishi , Helio Pedrini

Mobile phone based potable water quality assessment device is developed to analyze and study water pollution level at Indus river. Indus river is habitat of endangered Indus river dolphin and water pollution is one of major causes of…

Computers and Society · Computer Science 2017-12-27 Sanaullah Manzoor , Farhan Ahmad , Suleman Mazhar

Caribou across the Arctic has declined in recent decades, motivating scalable and accurate monitoring approaches to guide evidence-based conservation actions and policy decisions. Manual interpretation from this imagery is labor-intensive…

Computer Vision and Pattern Recognition · Computer Science 2026-04-22 Ghazaleh Serati , Samuel Foucher , Jerome Theau

This study revisits the findings of Carl et al., who evaluated the pre-trained Google Inception-ResNet-v2 model for automated detection of European wild mammal species in camera trap images. To assess the reproducibility and…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Tobias Abraham Haider

Scattered trees outside of dense, closed-canopy forests are very important for carbon sequestration, supporting livelihoods, maintaining ecosystem integrity, and climate change adaptation and mitigation. In contrast to trees inside of…

Computer Vision and Pattern Recognition · Computer Science 2021-02-03 John Brandt , Fred Stolle

Wildlife trafficking remains a critical global issue, significantly impacting biodiversity, ecological stability, and public health. Despite efforts to combat this illicit trade, the rise of e-commerce platforms has made it easier to sell…

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