Results 181 to 190 of about 12,693 (219)

Efficient and Accurate Spatio‐Temporal Population Monitoring of Mobile Animals Using Drones and Computer Vision

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Drones and computer vision offer an efficient way to estimate animal populations over localized areas, but surveys often require stitching many overlapping images together. If animals move during the survey, traditional orthomosaic‐based counting methods become unreliable, with some animals appearing in multiple locations while others appear not at all,
Benjamin Koger   +5 more
wiley   +1 more source

A Tracking‐By‐Detection Framework to Automatically Count Rare and Elusive Megafauna in Aerial Video Surveys

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Monitoring programs of vulnerable megafauna increasingly rely on aerial surveys from drones or planes fitted with cameras. However, automated methods are still lacking to accurately count individuals across entire surveys. Here, we leverage a tracking‐by‐detection framework to not only detect individuals but also link the resulting detections across ...
Laura Mannocci   +6 more
wiley   +1 more source

Artificial Intelligence for Blue Transformation: A Review of Predictive Modeling and Decision Support Systems in Sustainable Aquaculture

open access: yesSustainable Development, EarlyView.
ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
wiley   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

open access: yesStrategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

open access: yesSmall, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong   +9 more
wiley   +1 more source

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