Using Deep Learning to Identify Cyclists' Risk Factors in London | Presentation
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The aim of this project was to use object detection and image segmentation models to extract cyclists’ road risk factors from GSV images of London. This involved compiling road safety indicators and risk factors; analysing a GSV dataset, before using two state-of-the-art tools, YOLOv5 and PSPNet101, to detect objects and segment images, respectively, and further analysing their results; determining the limitations of YOLOv5, PSPNet101 and suggesting ways of making cyclists’ safety assessment more accurate.
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[Master Thesis Extended Abstract]
With the advent of high-throughput sequencing methods, new ways of visualizing and analyzing increasingly amounts of data are needed. Although some software already exist, they do not scale well or require advanced skills to be useful in phylogenetics.
The aim of this thesis was to implement three community finding algorithms – Louvain, Infomap and Layered Label Propagation (LLP); to benchmark them using two synthetic networks – Girvan-Newman (GN) and Lancichinetti-Fortunato-Radicchi (LFR); to test them in real networks, particularly, in one derived from a Staphylococcus aureus MLST dataset; to compare visualization frameworks – Cytoscape.js and D3.js, and, finally, to make it all available online (mscthesis.herokuapp.com).
Louvain, Infomap and LLP were implemented in JavaScript. Unless otherwise stated, next conclusions are valid for GN and LFR. In terms of speed, Louvain outperformed all others. Considering accuracy, in networks with well-defined communities, Louvain was the most accurate. For higher mixing, LLP was the best. Contrarily to weakly mixed, it is advantageous to increase the resolution parameter in highly mixed GN. In LFR, higher resolution decreases the accuracy of detection, independently of the mixing parameter. The increase of the average node degree enhanced partitioning accuracy and suggested detection by chance was minimized. It is computationally more intensive to generate GN with higher mixing or average degree, using the algorithm developed in the thesis or the LFR implementation. In S. aureus network, Louvain was the fastest and the most accurate in detecting the clusters of seven groups of strains directly evolved from the common ancestor.
Community Finding with Applications on Phylogenetic Networks [Presentation]
[Master Thesis Presentation]
With the advent of high-throughput sequencing methods, new ways of visualizing and analyzing increasingly amounts of data are needed. Although some software already exist, they do not scale well or require advanced skills to be useful in phylogenetics.
The aim of this thesis was to implement three community finding algorithms – Louvain, Infomap and Layered Label Propagation (LLP); to benchmark them using two synthetic networks – Girvan-Newman (GN) and Lancichinetti-Fortunato-Radicchi (LFR); to test them in real networks, particularly, in one derived from a Staphylococcus aureus MLST dataset; to compare visualization frameworks – Cytoscape.js and D3.js, and, finally, to make it all available online (mscthesis.herokuapp.com).
Louvain, Infomap and LLP were implemented in JavaScript. Unless otherwise stated, next conclusions are valid for GN and LFR. In terms of speed, Louvain outperformed all others. Considering accuracy, in networks with well-defined communities, Louvain was the most accurate. For higher mixing, LLP was the best. Contrarily to weakly mixed, it is advantageous to increase the resolution parameter in highly mixed GN. In LFR, higher resolution decreases the accuracy of detection, independently of the mixing parameter. The increase of the average node degree enhanced partitioning accuracy and suggested detection by chance was minimized. It is computationally more intensive to generate GN with higher mixing or average degree, using the algorithm developed in the thesis or the LFR implementation. In S. aureus network, Louvain was the fastest and the most accurate in detecting the clusters of seven groups of strains directly evolved from the common ancestor.
Espetros de Absorção Eletrónica de Cianinas
Relatório - Princípios de Química-Física.
Este trabalho laboratorial consiste no estudo dos espetros de absorção eletrónica de duas famílias de cianinas no VIS-UV próximo, mais precisamente as famílias 2Cn e 4Cn, recorrendo-se para tal a um espetrofotómetro de UV-VIS.
IST - 3º Ano - 2º Semestre - Engenharia Biomédica.
Radiation Physics Laboratory – Complementary Exercise Set
Complementary Exercise Set - Radiation Physics.
IST - 4th Year - 1st Semester - Biomedical Engineering.
Espetroscopia γ
2º Relatório - Física da Radiação.
1. Configuração e ajuste de parâmetros; O multicanal; Calibração em energia do sistema;
2. Estudo do espetro das fontes: 137Cs e 60Co;
3. Estudo da atenuação de gamas na matéria
IST - 4º Ano - 1º Semestre - Engenharia Biomédica.
Detetor Geiger-Müller
1º Relatório - Física da Radiação.
1. Estudo da curva de resposta do detetor em função da tensão aplicada e escolha da zona de operação;
2. Estudo da Eficiência do Detetor para as Radiações 훽 e 훾;
3. Estudo da lei de variação da taxa de contagem com a distância do detetor à fonte.
IST - 4º Ano - 1º Semestre - Engenharia Biomédica.
Advising Healthcare Organizations
1st Project - Health Systems.
Day after day, health is becoming an increasingly hot issue in our daily life. Particularly, ageing can be thought as one of the primary causes for such an increasing demand and expense in health services. Therefore, it’s not surprising a larger fraction of the countries’ domestic gross product is being allocated to improve care, provided by health authorities, as well as public services, guaranteeing a pleasurable and safe coexistence among people.
One way of achieving such goals, without excessive expenditure, is using decision support models. In one hand, it’s true that forecasting [Request 3], linear programming [Request 4] or a mere construction of a decision tree [Request 2] entails some costs. But, at the end, countries or health services that better apply these mathematical techniques are achieving better results with the same or lower costs.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
The Role of Internet-of-Things (IoT) in Healthcare
1st Project - Health Systems.
As a result of ageing population, increasing demand and evolving technology on healthcare systems, the progress in the Internet of Things (IoT) has a key role in suppressing all these needs, in particular, redesigning modern health care with promising technological, economic and social prospects. This paper attempts to comprehensively review the current research and development on the impact of IoT in Healthcare. Relying on a comprehensive literature review, this paper analyses the architecture of an IoT-based systems, focusing on the main components and their value to the overall system. In addition, a perspective on electronic health records and on privacy and security issues are overviewed, along with the review of clinical cases of IoT-based systems. Given IoT clear acceptability and affordability among youngers and elders, combined to a broad range of devices and machine learning techniques, it’s expected these devices will facilitate in many ways health providers’ job, as long as other topics like data protection keep side-by-side.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
The Role of Internet-of-Things (IoT) in Healthcare
1st Project - Health Systems.
As a result of ageing population, increasing demand and evolving technology on healthcare systems, the progress in the Internet of Things (IoT) has a key role in suppressing all these needs, in particular, redesigning modern health care with promising technological, economic and social prospects. This paper attempts to comprehensively review the current research and development on the impact of IoT in Healthcare. Relying on a comprehensive literature review, this paper analyses the architecture of an IoT-based systems, focusing on the main components and their value to the overall system. In addition, a perspective on electronic health records and on privacy and security issues are overviewed, along with the review of clinical cases of IoT-based systems. Given IoT clear acceptability and affordability among youngers and elders, combined to a broad range of devices and machine learning techniques, it’s expected these devices will facilitate in many ways health providers’ job, as long as other topics like data protection keep side-by-side.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Extracorporeal Artificial Organs - Kidney & Lungs
Homework X - Biomaterials Science.
An extracorporeal artificial organ is a man-made device that is integrated into a human — interfacing with living tissue — to replace a natural organ, for the purpose of duplicating or augmenting a specific function or a group of related functions so the patient may return to a normal life as soon as possible. The replaced function doesn't necessarily have to be related to life support, but it often is.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Implantable Medical Devices in the Eyes
Homework IX - Biomaterials Science.
Many pathologies arise from deficiencies in diffracting the light due to abnormal morphologies of cornea; lens opacity (due to aging, most of the times) ...
Two practical cases are now studied deeply in a patient and biocompatibility scope.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Foreign - Body Reaction
Homework VIII - Biomaterials Science.
All biomaterials introduced in the human body, inevitably, will generate a biological response. The size, shape, and chemical and physical properties of the biomaterial and the physical dimensions and properties of the prosthesis or device are responsible for variations in the intensity and time duration of the inflammatory and wound healing processes.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Cells’ Mechanotransduction – Molecular Mechanisms
Homework VII - Biomaterials Science
Essentially, all organisms from bacteria to humans are mechanosensitive. Physical forces are known to regulate an enormous amount of processes which play an important role in homeostasis. Thus, the main questions around this topic evolved from its importance to how it is possible to transduce mechanical stimulus into biochemical responses.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Mechanisms in Aqueous Solution for Corrosion of Metal Alloy
Homework VI - Biomaterials Science.
Corrosion is a natural process which can be found, not only in metals, but also in ceramics and polymers (instead of corrosion, it is usually called “degradation”). 2 main concerns around this topic include economic and security issues. In fact, big accidents related to corrosion are present in the world’s history... Some involved crashed bridges and sunk ships. Processes to avoid events like this should be carefully chosen, accordingly to our monetary resources, as well as considering the severity of a hypothetical situation where the material can fail (e.g. - if there are any lives at risk).
IST - 4th Year - 2nd Semester - Biomedical Engineering.
Properties of Biological Materials
Homework V - Biomaterials Science
Cells are the most fundamental structures and functional units in a living body. Depending on their biological characteristics, they can be linked to 5 different kingdoms: Animalia, Plantae, Fungi, Protista and Monera. Eukaryote cells present in the Animalia, Plantae and Fungi are the most complex and the ones that are more often seen grouped in multicellular organisms. Some million years ago, cells started to organize themselves in tissues and later in organs, each one playing a different role in a living system.
IST - 4th Year - 2nd Semester - Biomedical Engineering.
More from Luís Rita (20)
Machine Learning for Building a Food Recommendation System
Machine Learning for Building a Food Recommendation System
Community Finding with Applications on Phylogenetic Networks [Thesis]
Community Finding with Applications on Phylogenetic Networks [Thesis]
Community Finding with Applications on Phylogenetic Networks [Extended Abstract]
Community Finding with Applications on Phylogenetic Networks [Extended Abstract]
Community Finding with Applications on Phylogenetic Networks [Presentation]
Community Finding with Applications on Phylogenetic Networks [Presentation]
Radiation Physics Laboratory – Complementary Exercise Set
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Mechanisms in Aqueous Solution for Corrosion of Metal Alloy
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DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
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Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
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Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Shallowest Oil Discovery of Turkiye.pptx
The Petroleum System of the Çukurova Field - the Shallowest Oil Discovery of Türkiye, Adana
Richard's aventures in two entangled wonderlands
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
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This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
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In this presentation include the prototype drug SAR on thus or with their examples .
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Toxic effects of heavy metals : Lead and Arsenic
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
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Evaporation step counter work. I have done a physical experiment.
(Work in progress.)
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1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
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Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...
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redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
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M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
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As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
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Using Deep Learning to Identify Cyclists' Risk Factors in London | Presentation
- 1. Using Deep Learning to Identify Cyclists’ Risk Factors in London Luís RitaMajid Ezzati Ricky Nathvani
- 2. Introduction Cycling Benefits Road Safety Indicators Risk Factors Imagery Dataset Image SegmentationObject Detection
- 3. Imagery Dataset • Source was Google API and London Datastore • Storage in Imperial RDS • N. Datapoints is 119 681 • N. Images is 478 724 • N. LSOAs is 4 832 • Average of 108 Images/LSOA • Minimum of 4 Images • Maximum of 844 Images Google Street View Methods & Results
- 4. Object Detection YOLOv5 • You Only Look Once (YOLOv5) • Released July 2020 • Weights used were YOLOv5x • Executed with P1000 Nvidia GPU from HPC • Accuracy threshold set 0.5 Methods
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- 8. Object Detection YOLOv5 Combined Safety Metric Bicycle + Person Bus + Car + Truck
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