David Moffat
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View article: A Sentinel-3 foundation model for ocean colour
A Sentinel-3 foundation model for ocean colour Open
Artificial Intelligence (AI) Foundation models (FMs), pre-trained on massive unlabelled datasets, have the potential to drastically change AI applications in ocean science, where labelled data are often sparse and expensive to collect. In …
View article: ForestScan: a unique multiscale dataset of tropical forest structure across 3 continents including terrestrial, UAV and airborne LiDAR and in-situ forest census data
ForestScan: a unique multiscale dataset of tropical forest structure across 3 continents including terrestrial, UAV and airborne LiDAR and in-situ forest census data Open
The ForestScan project was conceived to evaluate new technologies for characterising forest structure and biomass at Forest Biomass Reference Measurement Sites (FBRMS). It is closely aligned with other international initiatives, particular…
View article: Sensing human health from Space: An assessment of applications and big data platforms
Sensing human health from Space: An assessment of applications and big data platforms Open
The integration of Earth Observation (EO) into human health research has expanded significantly, particularly since 2009, highlighting its potential for disease modelling, environmental exposure assessment, and public health decision-makin…
View article: Automatic Mapping and Characterising Of Ripple Patterns on Sand Dunes using U-Net and 2D Semi-Variogram.
Automatic Mapping and Characterising Of Ripple Patterns on Sand Dunes using U-Net and 2D Semi-Variogram. Open
The shape, orientation, and spacing of sand ripples provide insights into local sand transport conditions. Consequently, mapping ripple patterns can enhance our understanding of wind regimes on Mars and Earth, especially in areas lacking l…
View article: Deciphering the variability in air-sea gas transfer due to sea state and wind history
Deciphering the variability in air-sea gas transfer due to sea state and wind history Open
Understanding processes driving air-sea gas transfer and being able to model both its mean and variability are critical for studies of climate and carbon cycle. The air-sea gas transfer velocity (K660) is almost universally parameterized a…
View article: Ripple patterns on Martian barchan dunes in the north: indicators of the flow regime.
Ripple patterns on Martian barchan dunes in the north: indicators of the flow regime. Open
Aeolian sand transport occurs across the surface of Mars with the north polar region being one of its most active regions, however our understanding of sand transport conditions on the red planet is limited. Sand ripples reflect local flow…
View article: Changes in audiovestibular handicap following treatment of vestibular schwannomas
Changes in audiovestibular handicap following treatment of vestibular schwannomas Open
Objective This study aimed to assess degree of audiovestibular handicap in patients with vestibular schwannoma. Methods Audiovestibular handicap was assessed using the Hearing Handicap Inventory, Tinnitus Handicap Inventory and Dizziness H…
View article: <i>TLS2trees</i> : A scalable tree segmentation pipeline for <scp>TLS</scp> data
<i>TLS2trees</i> : A scalable tree segmentation pipeline for <span>TLS</span> data Open
Above‐ground biomass (AGB) is an important metric used to quantify the mass of carbon stored in terrestrial ecosystems. For forests, this is routinely estimated at the plot scale (typically 1 ha) using inventory measurements and allometry.…
View article: Determining drivers of phytoplankton carbon to chlorophyll ratio at Atlantic Basin scale
Determining drivers of phytoplankton carbon to chlorophyll ratio at Atlantic Basin scale Open
We demonstrate the ability of flow cytometry to determine species specific cellular carbon and chlorophyll content in vivo by using laboratory cultures of phytoplankton encompassing a wide range of cell sizes. When applied to the large Atl…
View article: Analysis of Dune Ripple Patterns on the Surface of Earth and Mars to determine Local Sand Transport Conditions: A Machine Learning application.
Analysis of Dune Ripple Patterns on the Surface of Earth and Mars to determine Local Sand Transport Conditions: A Machine Learning application. Open
The contemporary surface of Mars is shaped by wind driven sand transport, yet our knowledge of these processes is limited. Sand ripples are small bedform features commonly found superimposing dunes on the surface of Earth and Mars, perpend…
View article: <i>TLS2trees</i>: a scalable tree segmentation pipeline for TLS data
<i>TLS2trees</i>: a scalable tree segmentation pipeline for TLS data Open
Above Ground Biomass (AGB) is an important metric used to quantify the mass of carbon stored in terrestrial ecosystems. For forests, this is routinely estimated at the plot scale (typically ≥1 ha) using inventory measurements and allometry…
View article: Word Embeddings for Automatic Equalization in Audio Mixing
Word Embeddings for Automatic Equalization in Audio Mixing Open
In recent years, machine learning has been widely adopted to automate the audio mixing process. Automatic mixing systems have been applied to var- ious audio effects such as gain-adjustment, stereo panning, equalization, and reverberation.…
View article: Semantic Music Production: A Meta-Study
Semantic Music Production: A Meta-Study Open
This paper presents a systematic review of semantic music production, including a meta-analysis of three studies into how individuals use words to describe audio effects within music production. Each study followed different methodologies …
View article: You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection
You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection Open
Audio segmentation and sound event detection are crucial topics in machine listening that aim to detect acoustic classes and their respective boundaries. It is useful for audio-content analysis, speech recognition, audio-indexing, and musi…
View article: Word Embeddings for Automatic Equalization in Audio Mixing
Word Embeddings for Automatic Equalization in Audio Mixing Open
In recent years, machine learning has been widely adopted to automate the audio mixing process. Automatic mixing systems have been applied to various audio effects such as gain-adjustment, equalization, and reverberation. These systems can…
View article: You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection
You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection Open
Audio segmentation and sound event detection are crucial topics in machine listening that aim to detect acoustic classes and their respective boundaries. It is useful for audio-content analysis, speech recognition, audio-indexing, and musi…
View article: Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast
Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast Open
Segmenting audio into homogeneous sections such as music and speech helps us understand the content of audio. It is useful as a pre-processing step to index, store, and modify audio recordings, radio broadcasts and TV programmes. Deep lear…
View article: Investigating the Effects of Training Set Synthesis for Audio Segmentation of Radio Broadcast
Investigating the Effects of Training Set Synthesis for Audio Segmentation of Radio Broadcast Open
Music and speech detection provides us valuable information regarding the nature of content in broadcast audio. It helps detect acoustic regions that contain speech, voice over music, only music, or silence. In recent years, there have bee…
View article: Context-Aware Intelligent Mixing Systems
Context-Aware Intelligent Mixing Systems Open
Intelligent Mixing Systems (IMS) are rapidly becoming integrated into music mixing and production workflows. The intelligences of a human mixer and IMS can be distinguished by their abilities to comprehend, assess, and appreciate context. …
View article: A Deep Learning Approach to Intelligent Drum Mixing With the Wave-U-Net
A Deep Learning Approach to Intelligent Drum Mixing With the Wave-U-Net Open
The development of intelligent music production tools has been of growing interest in recent years. Deep learning approaches have been shown as being a highly effective method for approximating individual audio effects. In this work, we pr…
View article: Facial Nerve Function Outcome and Risk Factors in Resection of Large Cystic Vestibular Schwannomas
Facial Nerve Function Outcome and Risk Factors in Resection of Large Cystic Vestibular Schwannomas Open
Objective Cystic vestibular schwannomas (VS) in contrast to solid VS tend to have accelerated growth, larger volume, rapid/atypical presentation, lobulated/adherent surface, and unpredictable course of the cranial nerves. Cystic VS are sur…
View article: Mixing with Intelligent Mixing Systems: Evolving Practices and Lessons from Computer Assisted Design
Mixing with Intelligent Mixing Systems: Evolving Practices and Lessons from Computer Assisted Design Open
Intelligent Mixing Systems (IMS) are being integrated into mixing workflows, however, there is little discussion around how these technologies are impacting mixing practices. This study explores the possibilities and pitfalls of IMS, by co…
View article: A History of Audio Effects
A History of Audio Effects Open
Audio effects are an essential tool that the field of music production relies upon. The ability to intentionally manipulate and modify a piece of sound has opened up considerable opportunities for music making. The evolution of technology …
View article: Approaches in Intelligent Music Production
Approaches in Intelligent Music Production Open
Music production technology has made few advancements over the past few decades. State-of-the-art approaches are based on traditional studio paradigms with new developments primarily focusing on digital modelling of analog equipment. Intel…
View article: Headache, Cerebrospinal Fluid Leaks, and Pseudomeningoceles after Resection of Vestibular Schwannomas: Efficacy of Venous Sinus Stenting Suggests Cranial Venous Outflow Compromise as a Unifying Pathophysiological Mechanism
Headache, Cerebrospinal Fluid Leaks, and Pseudomeningoceles after Resection of Vestibular Schwannomas: Efficacy of Venous Sinus Stenting Suggests Cranial Venous Outflow Compromise as a Unifying Pathophysiological Mechanism Open
Background Regardless of the operative approach, headache, cerebrospinal fluid (CSF) leaks, and pseudomeningoceles remain disproportionately common problems after surgery for vestibular schwannomas and have a significant negative impact on…
View article: Creating Real-Time Aeroacoustic Sound Effects Using Physically Informed Models
Creating Real-Time Aeroacoustic Sound Effects Using Physically Informed Models Open
date-added: 2017-07-04 11:12:05 +0000\ndate-modified: 2018-08-23 12:24:57 +0100\nread: 1\nbdsk-url-1: https://doi.org/10.17743/jaes.2018.0033