Browsing Theses and Dissertations by Title
Now showing items 294-313 of 514
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Ioptimizing Field Performance using Injection Efficiency from Streamline-Based Workflow
(2010-12-12)Waterflooding is one of the most common secondary recovery mechanisms available for improving oil recovery from known accumulations. Due to the limitation of available water for injection, there's a need to optimize the ...
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Isoperimetric Variational Techniques and Applications
(2010-12-05)This project is at the interface between Nonlinear Functional Analysis, Convex Analysis and Di erential Equations. It concerns one of the most powerful methods often used to solve optimization problems with constraints; ...
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Iterative Algorithms and Existence Theorems for Solutions of Nonlinear Equations in Banach Spaces.
(AUST, 2013-11-05)Let E be a q-uniformly smooth real Banach space and D be a nonempty, open and convex subset of E. Assume that T : D → CB(D) is a multi valued continuous (with respect to the Hausdorff metric), bounded and pseudo-contractive ...
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Iterative Algorithms for Single-Valued and Multi-Valued Nonexpansive-Type Mappings in Real Lebesgue Spaces
(2015-07-15)Algorithms for single-valued and multi-valued nonexpansive-type mappings have continued to attract a lot of attentions because of their remarkable utility and wide applicability in modern mathematics and other reasearch ...
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Iterative Algorithms for Split Equality Fixed Point Problems and Some Non-Linear Problems in Banach Spaces With Applications
(AUST, 2019-06-06)Let H1, H2, and H3 be real Hilbert spaces, T and S be non-linear maps defined on H1 and H2, respectively, and with non-empty fixed point sets, F ix(T) and F ix(S), respectively, A and B be linear maps respectively mapping ...
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Iterative Methods for Approximation of fixed Points of Certain Multivalued Mappings in Hadamard Spaces
(AUST, 2019-06-09)Let (X,d) be a Hadamard space and let D be its closed convex nonempty set. We studied countable family of multivalued demicontractive mappings {Ti} from D to C B(D) with constants {ki} ⊂ (0,1) and developed an iterative ...
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Kinetics and Controlled Localized Drug Release From Chitosan-Ascorbic Acid Complex Based Microparticles For Potential Treatment of Triple Negative Breast Cancer
(AUST, 2018-12-10)Triple Negative Breast Cancer (TNBC) is the most predominant form of breast cancer among women of African descent. Breast cancers affects many women globally and the existing treatment methods, such as chemotherapy, have ...
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A Krasnoselskii-Type Algorithm for Approximating Solutions of Variational Inequality Problems and Convex Feasibility Problems
(2017-12-18)A Krasnoselskii-type algorithm for approximating a common element of the set of solutions of a variational inequality problem for a monotone, k-Lipschitz map and solutions of a convex feasibility problem involving a countable ...
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LaSalle Invariance Principle for Ordinary Differential Equations and Applications
(2019-06-23)The most popular method for studying stability of nonlinear systems is introduced by a Russian Mathematician named Alexander Mikhailovich Lyapunov. His work ”The General Problem of Motion Stability ” published in 1892 ...
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Laser Induced Heating of Polymer Nanocomposites for Hyperthermia in the Treatment of Triple Negative Breast Cancer
(AUST, 2022-07-02)The work presents the results of an experimental and computational study of the effects of laser-induced heating provided by magnetite polymer-based nanocomposite structures that are being developed for the localized ...
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Layered Composite thin Films for Cost Effective Transparent Organic Solar Cell Electrodes
(2015-08-20)In this dissertation two main themes are explored. In the first part some phenomenologies of light transport across the ZnO/Al/ZnO (ZAZ) thin film multilayer structures are investigated. The multilayered ZAZ thin film ...
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Learning System and a Comparative Study on Learning Style of Students in Africa(Nigeria) and those in Asia (JAPAN)
(2011-12)In different parts of the world especially African and Asian continents, students attend classes and taught in groups using the same method of teaching applied to all students irrespective of whether or not they have the ...
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A Lightweight Convolutional Neural Network for Breast Cancer Detection Using Knowledge Distillation Techniques
(AUST, 2023-01-15)The second most heterogeneous cancer ever discovered is Breast Cancer (BC). BC is a disease that develops from malignant tumors when the breast cells begin to grow abnormally. Although it grows in the breast, it can spread ...
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A Lightweight Convolutional Neural Network for Breast Cancer Detection Using Knowledge Distillation Techniques
(AUST, 2023-01-23)The second most heterogeneous cancer ever discovered is Breast Cancer (BC). BC is a disease that develops from malignant tumors when the breast cells begin to grow abnor-mally. Although it grows in the breast, it can spread ...
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Limiting Efficiency of Perovskite Solar Cells
(2014-12-15)The power conversion efficiency of perovskite solar cells has risen from as low as 3.8% to as high as 19.3% in just five years with yet a projected value of over 20% in the next few years by experimentalists. Such a ...
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Loss Function in Acturial Science and Estimation
(2019-06-23)The non-life insurance pricing consists of establishing a premium or a tariff paid by the insured to the insurance company in exchange for the risk transfer. A key factor in doing that is properly estimating the distribution ...
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Luation of Recovery Performance of Gas-Condensate Reservoir using Limited Compositional Simulator
(2018-03-23)In the past years, several researches have been done on gas-condensate reservoir recovery performance using fully compositional simulators. Fully compositional simulators are more expensive, time consuming and have complex ...
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Machine Learning Techniques for Malaria Incidence and Tuberculosis Prediction
(AUST, 2021-07-02)This research proposes machine learning techniques to develop models that would facilitate decision-making in health informatics. It focuses on using efficient machine learning techniques to solve the pressing need in the ...
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Machine Learning Text Analyzer – Text Classification using Supervised and Un-Supervised Algorithms
(2019-06-16)Text analysis is a branch of data mining that deals with text documents. This project brings to light the classification of texts into their various categories. The structured and unstructured data seems to on a high rise ...
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Malaria Prediction using Bayesian and other Machine Learning Techniques
(2019-09-12)Main purpose of data mining is to extract valuable information from available data. With the enormous amount of data stored in files, databases, and repositories, in the healthcare sector, it’s increasingly important, if ...