• Neural Collaborative Filtering and Autoencoder Enabled Deep Learning Models for Recommender Systems 

  Arnold, Kwofie (AUST, 2022-11-15)

  Finding important and useful information is getting harder as much more information is available online. The challenge for content producers is to deliver the appropriate content to the appropriate consumers while making ...
  
  
• A Lightweight Convolutional Neural Network for Breast Cancer Detection Using Knowledge Distillation Techniques 

  Modu, Falmata (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 ...
  
  
• Algorithms For Approximation of J-Fixed Points of Nonexpansive - Type Maps, Zeros of Monotone Maps, Solutions of Feasibility and Variational Inequality Problems 

  Nnakwe, Monday Ogudu (AUST, 2019-07-05)

  It is well known that many physically significant problems in different areas of research can be transformed at equilibrium state into an inclusion problem of the form 0 ∈ Au, where A is either a multi-valued accretive map ...
  
  
• A Performant Predict Analytics Approach to Recommender Systems Using Deep Learning Methods 

  Obaje, Williams Usman (AUST, 2022-09-05)

  Recently, Massive amounts of data have been generated as a result of the frequency at which the amount of information available digitally is advancing. To enable users to effectively utilise the huge amount of information, ...
  
  
• Cloud Computing Adoption in Nigeria Universities: A Conceptualized Model Based on Stakeholder Perceptions 

  Umar Ibrahim, Hajara (AUST, 2022-12-09)

  Cloud computing is a technology that represents a shift from traditional ownership of infrastructure and other resources to a more scalable pattern in which computing resources are leased online to businesses on a pay-as-you-go ...
  
  
• How Machine Learning Can Evaluate The Influence Of Socio-Economic and Climatic Factors in Agricultural Yield: A Case Of Nigeria 

  Dappa Tamuno-Opubo, Godwin (AUST, 2023-05-13)

  The major international agencies in charge of nutrition are becoming increasingly concerned about global agricultural production in particular. Food insecurity has emerged in some populated areas, including Africa, as a ...
  
  
• Impact of Cyber -Security on Financial Fraud in Commercial Banks in Nigeria: A Case Study of Zenith Banks in Abuja 

  Ekong Eyo, Unwana (AUST, 2023-05-22)

  The study examined the impact of cyber-security of financial fraud in commercial banks in Nigeria: a case study of Zenith banks in Abuja. The study on the following objectives; the type of electronic frauds perpetrated in ...
  
  
• Optimization of Infill Wells in Heterogenous Reservoirs Using a Genetic Algorithm 

  Olayiwola, Teslim Olakunle (AUST, 2018-02-02)

  Optimal positioning of wells has always been the priority of most reservoir engineers in the face of the dwindling global price of crude oil. As it is always the objective to maximize recoverable reserves over the years, ...
  
  
• Approximation of Zeros of M-Accretive Operators; Solutions to Variational Inequality and Generalized Split Feasibility Problems 

  Nnyaba, Ukamaka (AUST, 2019-06-06)

  In this thesis, the problem of solving the equation of the form Au = 0, (0.0.1) where A is a nonlinear map (either mapping a Banach space, E to itself or mapping E to its dual, E ∗ ), is considered. This problem is desirable ...
  
  
• Biomass Valorization: Assessment and Characterization of Biomass Waste for Valuable Products. 

  Ezealigo, Uchechukwu (AUST and PAMI, 2022-04-15)

  Research in the use of biomass residues has a huge interest as their potentials span a wide range of applications. Processed residues are useful as green energy such as biofuel (pellets and briquettes), animal feed, ...
  
  
• A Lightweight Convolutional Neural Network for Breast Cancer Detection Using Knowledge Distillation Techniques 

  Modu, Falmata (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 ...
  
  
• Neural Collaborative Filtering and Autoencoder Enabled Deep Learning Models for Recommender Systems 

  Arnold, Kwofie (AUST, 2022-11-05)

  Finding important and useful information is getting harder as much more information is available online. The challenge for content producers is to deliver the appropriate content to the appropriate consumers while making ...
  
  
• Algorithms for approximation of J-Fixed Points of Nonexpensive-Type Maps, Zeros of Monotone Maps, Solutions of Feasibility and Variational Inequality Problems. 

  Nnakwe, Monday (AUST, 2019-07-05)

  It is well known that many physically significant problems in different areas of research can be transformed at an equilibrium state into an inclusion problem of the form 0 ∈ Au, where A is either a multi-valued accretive ...
  
  
• Effects of Pressure, Bending and Annealing Temperature on the Mechanical and Optoelectronic Properties of Perovskite Solar Cells 

  Oyelade, Omolara Victoria (AUST, 2022-01-05)

  The increasing needs for clean and sustainable energy stimulate the growing interest in photovoltaic (PV) technology using organic-inorganic hybrid perovskite materials. However, perovskite solar cells (PSCs) are faced ...
  
  
• New Frontiers for Solar Cells and Light Emitting Devices 

  Asare, Joseph (AUST, 2017-02-05)

  Solar energy, with its abundance and availability, would ultimately replace dwindling fossil fuel reserves in this new era of cleaner and more efficient energy as the world surges on to new technologies and horizons. This ...
  
  
• Optimization of Battery Management System for Nano Satellite 

  Edet, David Kokoette (2021-09-12)

  A Battery Management system (BMS) is tasked to provide optimum and efficient control over the battery in any satellite EPS. Along with Efficiency, these systems also require intelligent safety measures to avoid catastrophic ...
  
  
• Iterative Algorithms for Split Equality Fixed Point Problems and Some Non-Linear Problems in Banach Spaces With Applications 

  Romanus, Ogonnaya Michael (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 ...
  
  
• Iterative Algorithms and Existence Theorems for Solutions of Nonlinear Equations in Banach Spaces. 

  Minijibir, Maruf (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 ...
  
  
• Valorization of Agro-Waste for Mechanical Properties’ Improvement of Lateritic Soil for Sustainable Construction 

  Obianyo, Ifeyinwa Ijeoma (AUST, 2020-09-06)

  This study presents the results of a combined theoretical, experimental and statistical study of the mechanical performance of stabilized lateritic soil for sustainable construction applications. The lateritic soil was ...
  
  
• Structure and Properties of Organic and Inorganic Composites Materials: From Organic Photovoltaic Cells to Aerospace Materials 

  Agyei-Tuffor, Benjamin (AUST, 2017-11-15)

  Pressure and contacts in materials and systems play crucial roles in their performance and also their eventual failures. Pressure application closes voids, bridges gaps and improves transport across interfaces. In thin ...
  
  

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