Browsing Computer Science by Title

Now showing items 1-20 of 105

  • Adaptive Learning Framework 

    Mubarak, Sani Ibrahim (2016-06-15)
    Many Institutions offer on-line courses to people from all around the world. Learning Management Systems provides a convenient learning environment for on-line courses. Each learner has individual needs and characteristics ...

  • Adaptive Learning Framework 

    Mubarak, Sani, Ibrahim (2016-05-20)
    Many Institutions offer on-line courses to people from all around the world. Learning Management Systems provides a convenient learning environment for on-line courses. Each learner has individual needs and characteristics ...

  • Adaptive Multimedia Learning Framework with Facial Recognition 

    Ismaila, Lukman Enegi (2017-12-09)
    Recent breakthrough in mobile technology, wireless communication and sensing ability of smart devices promote the ease to detect real-world learning status of students as well as the context aware for learning. Targeted ...

  • An adaptive predictive financial fraud detection approach using deep learning methods on a Big Data platform 

    Isa, Ismail Modibbo (2016-05-16)
    Fraud, waste, and abuse in many financial systems are estimated to result in significant losses annually. Predictive analytics offer government and private financial institutions the opportunity to identify, prevent or ...

  • Ai-Enabled Pneumonia Detection System 

    Ogbe, Blessing Okwudo (AUST, 2021-05-10)
    The world is currently facing the global pandemic of the Coronavirus disease (COVID-19) disrupting large part of the world, the number of patients has grown progressively. For dealing with this serious emergency, accurate ...

  • Annotating Web Search Results 

    Manthalu, Sam (2014-12-15)
    With more than millions of pages, the Web has become a greatly enormous information source. This information is in form of documents, images, videos as well as text. With such vast sizes of data, it is a common problem to ...

  • Applying Deep Learning Methods for Short Text Analysis in Disease Control 

    Ezema, Abraham Obinwanne (2017-12-09)
    Developing countries have been plagued by recurrent cases of infectious disease outbreaks;coupled with the limitation of traditional disease control strategies, other approaches have been explored for disease control, with ...

  • Applying Emerging Data Techniques and Advanced Analytics to Combat Cyber Threat 

    Kohol, Valentine Iornav (2017-12-09)
    Cyber threats are currently on the rise, which has caused individuals, industrial control systems (ICSs), critical infrastructures (CIs), and nations to be subjected to attacks with great losses. Among the cyber threats ...

  • Approach to a Simulation Virtual Machine: Object Oriented Implementation of CDEVS and PDEVS 

    Aminu, Musa (2009-12-12)
    In the world today, the size of complex problems and systems has increased, due to the advances in technology and the area of computer design and architecture. Modeling and predicting the behaviour of complex systems ...

  • Automated Code Synthesis for Modeling and Simulation 

    Aliyu, Hamzat Olanrewaju (2011-11-15)
    We present Automated Code Synthesis for Modeling and Simulation, a MDA [1] approach to Modeling and Simulation with DEVS [2] formalism. The DEVS-Driven Modeling Language (DDML) [3] has been defined to ease simulation ...

  • Automatic Detection of Injecton Attack in Http Requests 

    Sodiq, Idowu Ibrahim (2019-06-20)
    Malicious user requests pose a vicious threat to backend devices which execute them; more so, could result in the compromise of other user accounts, exposing them to theft and blackmail. It becomes imperative to sanitize ...


  • Bidirectional Search in a String Using Wavelet Matrix and Burrows Wheeler Transform 

    Bello, Hanatu Bagudu (AUST, 2020-08-02)
    Wavelet tree is a data structure which permits the representation of sequences of symbols over an alphabet of size σ. It recursively partitions a string into two halves until homogeneous data is obtained. An increase in ...

  • Cassava Leaf Disease Classification with Deep Learning 

    Effiong, Blessing Uduakobong (AUST, 2021-08-13)
    Inspired by the current trend in artificial intelligence and neural network research, and with the increase in accuracy of models with deep neural network architecture (DNN), our work is dedicated to developing and training ...

  • Classification of Breast Cancer Using Logistic Regression 

    Ude, Anthony Anene (2019-06-16)
    Breast cancer is a prevalent disease that affects mostly women, an early diagnosis will expedite the treatment of this ailment. In recent times, Machine Learning (ML) techniques have been employed in biomedical and informatics ...

  • 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 ...

  • A Cloud-Based C/C++ Compiler for Smart Devices 

    Egwim, Christian Nnaemeka (2017-11-12)
    The foundation of many of today’s programming languages is the C/C++ language, due to its success and directives that span across several programming paradigms, conceptual models and runtime environments. Smart devices ...

  • A Cloud-Based Java Compiler for Smart Devices 

    Mohammed, Tanko Yahaya (2016-06-15)
    The Java programming language is widely used in industry and business. Therefore, academic institutions worldwide include Java learning as a basic part of their Computer Science and Engineering curricula. At the same time, ...

  • A Cloud-Based Java Compiler for Smart Devices 

    Mohammed, Tanko, Yahaya (2016-06-23)
    The Java programming language is widely used in industry and business. Therefore, academic institutions worldwide include Java learning as a basic part of their Computer Science and Engineering curricula. At the same time, ...

  • Combining Machine Learning Techniques with Statistical Shape Models in Medical Image Segmentation 

    Ebhotemhen, Eustace (2013-05-07)
    In this thesis, we implemented Point Distribution Model and basic Active Shape Model algorithm and contributed this to the AUST Computer Vision and Machine Learning code library. We applied the Active Shape Model to ...