Browsing by Title
Now showing items 1596-1615 of 24093
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Automatic first- and second-order adjoints for truncated Newton
(Polskie Towarzystwo Informatyczne, 2007)The analysis and modification of numerical programs in the context of generating and optimizing adjoint code automatically probably ranges among the technically and theoretically most challenging source transformation ... -
Automatic generation of level maps with the do what's possible representation
(IEEE Computer Society, 2019-09-26)Automatic generation of level maps is a popular form of automatic content generation. In this study, a recently developed technique employing the do what's possible representation is used to create open-ended level maps. ... -
Automatic Hessians by reverse accumulation
(1992)Let n be the number of independent variables of a function f, and let W and S respectively be the time and space bounds for the joint evaluation of {f, f} using automatic differentiation with reverse accumulation. In this ... -
Automatic Number Plate Recognition on FPGA
(University of Hertfordshire, 2013-07-03)Intelligent Transportation Systems (ITSs) play an important role in modern traffic management, which can be divided into intelligent infrastructure systems and intelligent vehicle systems. Automatic Number Plate Recognition ... -
Automatic Object Detection and Categorisation in Deep Astronomical Imaging Surveys Using Unsupervised Machine Learning
(2018-09-05)I present an unsupervised machine learning technique that automatically segments and labels galaxies in astronomical imaging surveys using only pixel data. Distinct from previous unsupervised machine learning approaches ... -
Automatic Propagation of Uncertainties
(2006)Motivated by problems in metrology, we consider a numerical evaluation program y = f(x) as a model for a measurement process. We use a probability density function to represent the uncertainties in the inputs x and examine ... -
Automatic segmentation of odor maps in the mouse olfactory bulb using regularized non-negative matrix factorization
(2014-09-01)Segmentation of functional parts in image series of functional activity is a common problem in neuroscience. Here we apply regularized non-negative matrix factorization (rNMF) to extract glomeruli in intrinsic optical ... -
An automatic taxonomy of galaxy morphology using unsupervised machine learning
(2017-09-15)We present an unsupervised machine learning technique that automatically segments and labels galaxies in astronomical imaging surveys using only pixel data. Distinct from previous unsupervised machine learning approaches ... -
Automatic timing model generation by CFG partitioning and model checking
(IEEE COMPUTER SOC, 2005)We present a new measurement-based worst-case execution time (WCET) analysis method. Exhaustive end-to-end measurements are computationally intractable in most cases. Therefore, we propose to measure execution times of ... -
Automatic tuning of high-frequency high-Q multiple loop feedback bandpass filters
(Institute of Electrical and Electronics Engineers (IEEE), 2002)Off-line tuning of leapfrog multiple loop feedback bandpass filters is demonstrated using a modification of Dishal's method. The proposed method is suitable for high frequency, high Q bandpass filters, and has advantages ... -
An automatic-democratic approach to weight setting for the new human development index
(University of Hertfordshire, 2012)Perhaps the most difficult aspect of constructing a multi-dimensional index is that of choosing weights for the components. This problem is often bypassed by adopting the ‘agnostic’ option of equal weights, as in the Human ... -
An automatic-democratic approach to weight setting for the new human development index.
(2013)Perhaps the most difficult aspect of constructing a multi-dimensional index is that of choosing weights for the components. This problem is often bypassed by adopting the ‘agnostic’ option of equal weights, as in the Human ... -
Automation in Strain and Temperature Control on VHCF with na Ultrasonic Testing Facility
(2013-05-22)The necessity of increased safety and reliability in mechanical components or structures became a subject of prime importance over the years. Therefore, to have a proper understanding of the damage and rupture mechanisms ... -
Automotive Forensics - Can You Trust Your Car? (Keynote Talk)
(2021-11-17)The issue We tend to have good memories of our exploits and adventures in our car, as our car became a close companion in our daily life. However, have you thought about what your car knows about you, perhaps even secrets ... -
Automotive Regions: Present and Future, Final Report of the Network
(University of Hertfordshire on behalf of the Network of Automotive Regions, 2007-11)Automotive Regions - Present and Future has been produced to provide an insight into the work carried out by the Network of Automotive Regions, a project part funded by Interreg IIIC European Funding. There are 16 partners ... -
Autonomous and Intrinsically Motivated Robots for Sustained Human-Robot Interaction
(2021-02-04)A challenge in using fully autonomous robots in human-robot interaction (HRI) is to design behavior that is engaging enough to encourage voluntary, long-term interaction, yet robust to the perturbations induced by human ... -
Autonomous Learning of Appropriate Social Distance by a Mobile Robot
(2008-11-04)Abstract This thesis aims to design an appropriate human-following solution for a mobile robot. The research can be characterised as interactive model building for a Human Robot Interaction (HRI) scenario. It studies ... -
An Autonomous Proxemic System for a Mobile Companion Robot
(AISB, 2010-03)This paper presents an Autonomous Proxemic System (APS) for a mobile robot. It detects people in the surroundings and manipulates the robot’s motions to approach them keeping an acceptable proxemic distance. The APS sensing ... -
An Autonomous Proxemic System for a Mobile Companion Robot
(The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB), 2010)This paper presents an Autonomous Proxemic System (APS) for a mobile robot. It detects people in the surroundings and manipulates the robot’s motions to approach them keeping an acceptable proxemic distance. The APS sensing ...