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About 10,000 papers for “Supervisor”

Principal Supervisor: Associate Supervisor: Industry Supervisor:

Omer Ahmed Khan, Luis Ferreira, Jonathan Bunker et al. · 2005

Redland Shire Council has recently started the implementation of an Integrated Local Transport Plan (ILTP) that aims to reduce the car dependency by enhancing the usage of alternative modes of transport. A multi mode choice model is required that can forecast the travel behaviour across the Shire in order to achieve the targets set in ILTP. The present study attempts to develop a nested logit model and calibrate it using data obtained from a stated preference (SP) survey to be conducted in the Shire. The model development will consider all the vital attributes of the travelling modes used in the study area including various public transit access modes. It is expected that the outcomes of the research will assist policy makers in the areas of public transport planning and the development of network for public transport access modes including walkways and cycleways.

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Supervisor Co-Supervisor

Log Service, Lásaro Jonas Camargos, Prof Fern et al. · 2008

that except where due acknowledgement has been given, the work pre-sented in this thesis is that of the author alone; the work has not been submitted previously, in whole or in part, to qualify for any other academic award; and the content of the thesis is the result of work which has been carried out since the offi-cial commencement date of the approved research program.

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Co-Supervisor Supervisor

2004

This is to certify that we have read this thesis and that in our opinion it is fully adequate, in scope and quality, as a thesis fort he degree of Master of Science.

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Co-Supervisor Supervisor

Kivanç Ülker, Aee _____________________ · 2005

__________________________ Prof. Dr. Nafiz ALEMDAROĞLU Head of the department This is to certify that we have read this thesis and that in our opinion it is fully adequate in scope and quality, as a thesis for the degree of Master of Science.

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Supervisor Co-supervisor

Linda Osti, Prof Lindsay, Turner Prof et al. · 2015

The completion of this work would not have been possible without the help and support of a number of influential people around me. First and foremost I would like to thank my supervisor Professor Lindsay Turner for his enduring help and constant suggestions through each step of the research. From the initial conceptualisation to the final writing of the thesis, Lindsay has provided me with precious guidance. This guidance has helped me both with the PhD, my academic career and also throughout my life during these years of research work. I will always appreciate the time he dedicated to me for talks and discussions. I will miss those chats which usually started with the PhD and research work and extended into life in general. My gratitude also goes to Wendy, who always welcomed me so warmly into her home. I also would like to thank my co-supervisor Professor Brian King for his useful comments and assistance during the final stages of the PhD. Extra special thanks goes to Ludovico for his continued support. Over the last two and a half years he has stood by my side, encouraging me to have faith in myself and to never give up. He is the person who best showed me that goals – as impossible as they may

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abmarstrand/supervisoR: supervisoR 1.2.0

Adam Marstrand · Zenodo (CERN European Organization for Nuclear Research) · 2026

This release improves visualization, usability, and documentation. Main updates: improved lollipop/pathway glyph visualization added control over lollipop point and line size in plot_subgraph() made significance markers easier to distinguish improved general plotting robustness expanded function documentation to make the package easier to use directly from the help pages extended README and vignette documentation Overall, version 1.2.0 makes supervisoR easier to use, easier to interpret visually, and better documented.

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First supervisor: Co-supervisor:

Ignalina Nuclear, Power Plant, Mohamad Zakaria · 2001

Aspects on its operation, closure and decommissioning in relation to environmental and socio-economic conditions in Lithuania

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Principal Supervisor Co-Supervisor

Masheal Ali Alghamdi, Dr. Abdullah, Albassam Dr et al. · 2008

My first and foremost thanks to Almighty God "Allah " who has given me the strength and wisdom to carry out this work and peace be upon prophet Mohammad. My next thanks to my parents for their brought up and made my way to go for higher studies. Then thanks to my brothers who invited me to their houses for carrying out my master degree. Also to my dear sisters who gave me the support when needed. I would like to express special thanks to my dear husband "Nasser " who continued the way with me with all love, share, and care. I express my thanks and appreciation to my supervisor Prof. Abdullah Albassam and to my co-supervisor Dr. Amanullah Fateh Mulla for his excellent guidance, encouragement and help through out this project. I express my thanks to all the physics department members in KSU especially:

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(primary supervisor) (secondary supervisor)

Stefan Ukena, Prof Dr, Christiane Floyd et al. · 2005

Rüdiger Klein for their advice, time and their support. I would also like to thank Martin Dotter for the time he spent explaining aircrafts and aircraft design to me. Finally, I would like to thank Prof. Dr. Kristel Kumbruck for establishing the contact to the KMOD team which made it possible for me to participate in the project. Table of Contents

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First supervisor: Second supervisor:

Sven Albrecht, Prof Dr, Joachim Hertzberg et al. · 2009

This thesis presents an analysis of the VISUAL MONO-SLAM algorithm used to create sparse consistent 3D maps in real-time from images perceived by a monocular hand-held camera developed by Davison et al. [13,16,20]. To understand the workings of VISUAL MONO-SLAM, foundations concerning camera models and lens distortion are presented and followed by an excursion about visual features and image procession techniques. The concept of the Extended Kalman filter is introduced and it is shown how an Extended Kalman filter can be used to obtain both a 6D pose estimation for the camera and position estimates for feature points in a 3D coordinate frame. An encoding for 3D point estimations using inverse depth is presented, allowing for immediate feature initialization without any prior knowledge about the depth of the feature point. It is shown that this encoding performs well even for features at great depth showing small or no parallax in contrast to conventional XYZ encoding. To save computational load a conversion mechanism from inverse depth encoding to common 3 dimensional XYZ encoding for features showing high parallax is discussed. An implementation using OPENCV and OPENGL is used to evaluate the discussed methods in a simulation, on provided sample image sequences and with a real time camera.

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