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17 results

Optimisation of passive acoustic bird surveys: a global assessment of BirdNET settings

Preprint / Working Paper
Pérez-Granados, C., Funosas, D., Morant, J., Marín, O. H., Mendoza, I., Mohedano-Muñoz, M. A., Santamaría, E., Bastianelli, G., Márquez-Rodríguez, A., Budka, M., Bota, G., Peña-Rubio, J. M. D. L., Morena, E. G. D. L., Snata-Cruz, M., Nava, P. D. L., Fernández-Tizón, M., Sánchez.Mateos, H., Barrero, A., Traba, J., Osiejuk, T. S., …Sebsatián-González, E. Optimisation of passive acoustic bird surveys: a global assessment of BirdNET settings

)
Pérez-Granados, C., Funosas, D., Morant, J., Marín, O. H., Mendoza, I., Mohedano-Muñoz, M. A., Santamaría, E., Bastianelli, G., Márquez-Rodríguez, A., Budka, M., Bota, G., Peña-Rubio, J. M. D. L., Morena, E. G. D. L., Snata-Cruz, M., Nava, P. D. L., Fernández-Tizón, M., Sánchez.Mateos, H., Barrero, A., Traba, J., Osiejuk, T. S., …Sebsatián-González, E. Optimisation of passive acoustic bird surveys: a global assessment of BirdNET settings
BirdNET is a popular machine learning tool for automated recognition of bird sounds. Here we evaluate how BirdNET settings affect the model performance both at vocalization an...

The Freshwater Sounds Archive

Preprint / Working Paper
Greenhalgh, J. A., Akmentins, M., Boullhesen, M., Brejao, G. L., Bowman, J. C., Briers, R. A., Campbell, K., Clark, A., Coen, M., Desjonqueres, C., Gaston, S., Gottesman, B. L., Jones, I. T., Lahoz-Monfort, J. J., Lindsay, E., Rodriguez, F. M., Navarrete-Mier, F., Norton, M., Las Casas e Novaes, M. C., Okazaki, S., …Looby, A. (2025)
The Freshwater Sounds Archive
Freshwater ecosystems are full of underwater sounds produced by amphibians, aquatic arthropods, reptiles, plants, fishes, and methane bubbles escaping from the sediment. Altho...

Process Evaluation in Critical Care Trials: A Qualitative Evidence Synthesis Protocol

Preprint / Working Paper
Wojcik, G., Emerson, L., Blackwood, B., Aitken, L., & Smith, D. (online)
Process Evaluation in Critical Care Trials: A Qualitative Evidence Synthesis Protocol

Particle algorithms for animal movement modelling in autonomous receiver networks

Preprint / Working Paper
Lavender, E., Scheidegger, A., Albert, C., Biber, S., Illian, J., Thorburn, J., Smout, S., & Moor, H. Particle algorithms for animal movement modelling in autonomous receiver networks

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Lavender, E., Scheidegger, A., Albert, C., Biber, S., Illian, J., Thorburn, J., Smout, S., & Moor, H. Particle algorithms for animal movement modelling in autonomous receiver networks
1. Particle filters and smoothers are powerful sequential Monte Carlo algorithms used to fit non-linear, non-Gaussian state-space models. These algorithms are well placed to f...

An Interpretative Phenomenological Analysis exploring domestic abuse and football support: The role of supporter mood, sense of self, and family life

Preprint / Working Paper
Sime, P. J., & Murray, J. An Interpretative Phenomenological Analysis exploring domestic abuse and football support: The role of supporter mood, sense of self, and family life

)
Sime, P. J., & Murray, J. An Interpretative Phenomenological Analysis exploring domestic abuse and football support: The role of supporter mood, sense of self, and family life
The study aimed to investigate Scottish football (soccer) fans’ experiences of domestic abuse in relation to key matches. Key football matches, particularly ‘Old Firm’ matches...

Patter: particle algorithms for animal tracking in R and Julia

Preprint / Working Paper
Lavender, E., Scheidegger, A., Albert, C., Biber, S. W., Illian, J., Thorburn, J., Smout, S., & Moor, H. Patter: particle algorithms for animal tracking in R and Julia

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Lavender, E., Scheidegger, A., Albert, C., Biber, S. W., Illian, J., Thorburn, J., Smout, S., & Moor, H. Patter: particle algorithms for animal tracking in R and Julia
In the field of movement ecology, state-space models have emerged as a powerful modelling framework that represents individual movements and the processes that connect movemen...

The Basel Problem Revisited: Unveiling a Novel Computational Methodology in Infinite Series Analysis

Preprint / Working Paper
Fascia, M. The Basel Problem Revisited: Unveiling a Novel Computational Methodology in Infinite Series Analysis

)
Fascia, M. The Basel Problem Revisited: Unveiling a Novel Computational Methodology in Infinite Series Analysis
This paper reexamines the Basel problem, an inquiry into the sum of the infinite series of squared reciprocals, famously resolved by Leonhard Euler. Euler's resolution has lef...

Human versus machine vision based ergonomic risk assessment of patient handling in health care professionals

Preprint / Working Paper
Breen, C., Valentin, S., & Ryan, C. Human versus machine vision based ergonomic risk assessment of patient handling in health care professionals

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Breen, C., Valentin, S., & Ryan, C. Human versus machine vision based ergonomic risk assessment of patient handling in health care professionals

Assessing the Impact of COVID-19 on Edinburgh's Business Community

Preprint / Working Paper
Fascia, M. (2024)
Assessing the Impact of COVID-19 on Edinburgh's Business Community
This study explores the multifaceted impacts of the COVID-19 pandemic on the business community in Edinburgh, highlighting how different sectors have responded to unprecedente...

A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection

Preprint / Working Paper
Lazzarini, R., Tianfield, H., & Charissis, V. A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection

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Lazzarini, R., Tianfield, H., & Charissis, V. A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection
The number of Internet of Things (IoT) devices has increased considerably inthe past few years, which resulted in an exponential growth of cyber attackson IoT infrastructure. ...
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