12 hasil untuk "Tuia, Devis"
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Artikel Jurnal Teks lengkap
Kernel Manifold Alignment for Domain Adaptation
The wealth of sensory data coming from different modalities has opened numerous opportunities for data analysis. The data are of increasing volume, complexity and dimensionality, thus calling for new methodological innovations towards multimodal data processing. However, multimodal architectures…
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Artikel Jurnal Teks lengkap
Large-scale detection of marine debris in coastal areas with Sentinel-2
Detecting and quantifying marine pollution and macroplastics is an increasingly pressing ecological issue that directly impacts ecology and human health. Here, remote sensing can provide reliable estimates of plastic pollution by regularly monitoring and detecting marine debris in coastal areas. In…
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Artikel Jurnal Teks lengkap
Prompt-guided and multimodal landscape scenicness assessments with vision-language models
Recent advances in deep learning and Vision-Language Models (VLM) have enabled efficient transfer to downstream tasks even when limited labelled training data is available, as well as for text to be directly compared to image content. These properties of VLMs enable new opportunities for the…
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Artikel Jurnal Teks lengkap
Migrating in a Warming World: A Deep Learning Approach to Predict Pan‐American Seasonal Shifts in the Monarch Butterfly Niche
Climate change is driving biodiversity loss, disrupting ecosystem functioning, and altering species distributions. Migratory species, whose range varies across seasons depending on specific climatic conditions, are particularly sensitive to environmental changes and serve as indicators of ecosystem…
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Artikel Jurnal Teks lengkap
Social media and deep learning capture the aesthetic quality of the landscape
Peoples’ recreation and well-being are closely related to their aesthetic enjoyment of the landscape. Ecosystem service (ES) assessments record the aesthetic contributions of landscapes to peoples’ well-being in support of sustainable policy goals. However, the survey methods available to measure…
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Artikel Jurnal Teks lengkap
Counting using deep learning regression gives value to ecological surveys
Many ecological studies rely on count data and involve manual counting of objects of interest, which is time-consuming and especially disadvantageous when time in the field or lab is limited. However, an increasing number of works uses digital imagery, which opens opportunities to automatise…
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Preprint Teks lengkap
A Geolocation-Aware Multimodal Approach for Ecological Prediction
While integrating multiple modalities has the potential to improve environmental monitoring, current approaches struggle to combine data sources with heterogeneous formats or contents. A central difficulty arises when combining continuous gridded data (e.g., remote sensing) with sparse and…
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Artikel Jurnal Teks lengkap
Fine-grained population mapping from coarse census counts and open geodata
Fine-grained population maps are needed in several domains, like urban planning, environmental monitoring, public health, and humanitarian operations. Unfortunately, in many countries only aggregate census counts over large spatial units are collected, moreover, these are not always up-to-date. We…
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Artikel Jurnal Teks lengkap
Rapid consistent reef surveys with DeepReefMap
In light of the critical threat to coral reefs worldwide due to human activity, innovative monitoring strategies are needed that are efficient, standardized, scalable, and economical. This paper presents the results of the first large-scale transnational coral reef surveying endeavor in the Red Sea…
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Artikel Jurnal Teks lengkap
Regional uniqueness of tree species composition and response to forest loss and climate change
The conservation and restoration of forest ecosystems require detailed knowledge of the native plant compositions. Here, we map global forest tree composition and assess the impacts of historical forest cover loss and climate change on trees. The global occupancy of 10,590 tree species reveals…
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Artikel Jurnal Teks lengkap
Perspectives in machine learning for wildlife conservation
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology. These technologies hold great potential for large-scale ecological understanding, but are limited by current processing approaches which inefficiently distill data into relevant information. We argue that animal…
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Artikel Jurnal Teks lengkap
WildDrone: autonomous drone technology for monitoring wildlife populations
The rapid loss of biodiversity worldwide is unprecedented, with more species facing extinction now than at any other time in human history. Key factors contributing to this decline include habitat destruction, overexploitation, and climate change. There is an urgent need for innovative and…