Browsing by Title
Now showing items 1044-1063 of 24495
-
The application of feature selection to the development of Gaussian process models for percutaneous absorption.
(2010)Objectives: The aim was to employ Gaussian processes to assess mathematically the nature of a skin permeability dataset and to employ these methods, particularly feature selection, to determine the key physicochemical ... -
The application of foam dressings
(2003) -
The application of Gaussian processes in the prediction of percutaneous absorption
(2009-09)Objectives The aim was to assess mathematically the nature of a skin permeability dataset and to determine the utility of Gaussian processes in developing a predictive model for skin permeability, comparing it with existing ... -
Application of Geographic Information Systems to Identify the Oversummering Regions of Blumeria graminis f. sp. tritici in China
(2013-09)Blumeria graminis f. sp. tritici, the pathogen that causes wheat powdery mildew, can oversummer as mycelia or conidia on leaves of volunteer wheat plants in cool mountainous areas in China. In this study, the regions in ... -
Application of global optimisation to particle identification using light scattering
(1998)Numerical methods of solving the inverse light scattering problem for spheres are presented. The methods are based on two stochastic global optimization techniques: Deep's random search and the multilevel single-linkage ... -
Application of Innovative Digital Technologies in Urban Flood Risk Management
(2023-04-28)Climate change can lead to several devastating hazards, including extreme rainfall and alteration of precipitation patterns that both contribute to more urban floods and various repercussions on urban life and infrastructure ... -
Application of Internet of Things in Real-Time Urban Flood Risk Management
(2024-04-19)Today, IoT devices are becoming integral to the real-time management of flooding through the implementation of flood early warning systems [1]. With the assistance of advancements in remote sensing, the expanding band board ... -
Application of Kodokan Classified Judo Techniques in Shiai
(2021-04-23)Judo techniques are classified by the Kodokan into throws, grappling techniques and strikes. For use in randori (free practice) and shiai (matches), 68 nage-waza (throws) and 32 katame-waza (grappling techniques) have been ... -
The application of machine learning to the modelling of percutaneous absorption: An overview and guide
(2015-03-18)Machine learning (ML) methods have been applied to the analysis of a range of biological systems. This paper reviews the application of these methods to the problem domain of skin permeability and addresses critically some ... -
An Application Of Machine Learning With Boruta Feature Selection To Improve NO2 Pollution Prediction
(Obafemi Awolowo University, Ile-Ife, 2021-07-08)Projecting and monitoring NO2 pollutants' concentration is perhaps an efficient and effective technique to lower people's exposure, reducing the negative impact caused by this harmful atmospheric substance. Many studies ... -
Application of Magnetic Field Treatment to Enhance the Durability of Metallic Alloys under Cyclic Loads
(2022-06-23)This research studies the effect of alternating magnetic field treatment on fatigue and wear properties of EN8 steel, 70/30 brass alloy, nickel-aluminium bronze, and aluminium alloy 2014-T6. Cavitation erosion, fatigue and ... -
The application of Monte Carlo methods to the synthesis of spectral line profiles from accretion disc winds
(1995)A Monte Carlo line profile synthesis method is presented which allows the radiative transfer of resonantly scattered lines through a stellar wind to be solved exactly. The resulting code is designed to be used primarily ... -
Application of Multilayer Extreme Learning Machine for Efficient Building Energy Prediction
(2022-12)Building energy efficiency is vital, due to the substantial amount of energy consumed in buildings and the associated adverse effects. A high-accuracy energy prediction model is considered as one of the most effective ways ... -
The application of neural networks to anodic stripping voltammetry to improve trace metal analysis
(University of Hertfordshire, 1995)This thesis describes a novel application of an artificial neural network and links together the two diverse disciplines of electroanalytical chemistry and information sciences. The artificial neural network is used to ... -
Application of neural networks to the inverse light scattering problem for spheres
(1998)A new approach suitable for solving inverse problems in multi-angle light scattering is presented. The method takes advantage of multidimensional function approximation capability of radial basis function (RBF) neural ... -
The Application of non-linear methods to quantify changes to movement dynamics during running: A scoping review
(2023-06-17)The aim of this scoping review was to evaluate research approaches that quantify changes to non-linear movement dynamics during running in response to fatigue, different speeds, and fitness levels. PubMed and Scopus were ... -
The application of psychodynamic ideas to professional dance training
(2001)Concern about the welfare of professional dance students is growing as it becomes clearer that the training is not producing emotionally healthy and mature young people. Psychodynamic ideas and concepts offer a means of ... -
Application of Quality Function Deployment to the Management of Information Physical Security
(2020-12-31)Information physical security (IPS) refers to the prevention from intended attacks against all material devices and to the protection against deliberate attacks by supporting and managing related data/information. Information ...