Browsing Computer Science by Issue Date

Now showing items 81-100 of 105

  • Text Mining of Twitter Data: Topic Modelling 

    Njoku, Uchechukwu Fortune (2019-06-16)
    Access to the Internet is becoming more affordable especially in Africa and with this the number of active social media users is also on the rise. Twitter is a social media platform on which users post and interact with ...

  • 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 ...

  • Prediction of Heart Disease using Bayesian Network Model 

    Muibideen, Mistura Adebimpe (2019-06-16)
    The Heart Disease according to the survey is the leading cause of death all over the world. The health sector has a lot of data, but unfortunately, these data are not well utilized. This is as a result of lack of effective ...

  • Comparative Study of Annotation Tools and Techniques 

    Musabeyezu, Fortunee (2019-06-16)
    A huge amount of data is generated on daily basis. The generated data can be both structured and unstructured data. The sources from which most of the unstructured data are found are the dailies, social networks (posts ...

  • Study of Scalable Deep Neural Network for Wildlife Animal Recognition and Identification 

    Yohanna, Yerima Williams (2019-06-16)
    Recently, deep learning techniques have been used significantly for large scale image classification targeting wildlife prediction. This research adopted a deep convolutional neural network (CNN) and proposed a deep scalable ...

  • Observatory System for Monitoring Hepatitis C Development in Nigeria 

    Idakwo, Patricia Ojonoka (2019-06-16)
    Hepatitis C development is a public health concern globally; hence eliminating it has become a major public health goal by various countries. In Nigeria, monitoring Hepatitis C development with the view to eliminate it has ...

  • 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 ...

  • Employing Probabilistic Matching Algorithms for Identity Management in the Telecommunication Industry 

    Odedina, Omolade Temitope (2019-06-23)
    The telecommunication industry has a lot of data related to households, individuals and devices. Advertisers pay a premium to ensure they advertise to their target audience. To ensure that content is personalized, it is ...

  • Semantic Sentiment Analysis Based on Probabilistic Graphical Models and Recurrent Neural Networks 

    Osisiogu, Ukachi Oluwaseun (2019-07-23)
    Sentiment Analysis is the task of classifying documents based on the sentiments expressed in textual form, this can be achieved by using lexical and semantic methods. The purpose of this study is to investigate the use of ...

  • Malaria Prediction using Bayesian and other Machine Learning Techniques 

    Hamisu, Ismail Ahmad (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 ...

  • Ensemble Learning for URL Phishing Detection 

    Igwilo, Chiamaka Mary (AUST, 2020-07-13)
    Phishing is a social engineering attack that has been perpetuated for long and is still a prominent attack with an attending high number of victims. The adverse effect of this allows phishers easy access to sensitive ...

  • 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 ...

  • 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 ...

  • Ensemble Learning for Url Phishing Detection 

    Igwilo, Chiamaka Mary (2021-07)
    Phishing is a social engineering attack that has been perpetuated for long and is still a prominent attack with an attending high number of victims. The adverse effect of this allows phishers easy access to sensitive ...

  • Integrated Information System for a Food Processing Industry: Case Study of Cashew Nuts Processing 

    Udoh, Margaret Ekanem (AUST, 2021-07-09)
    Information System (IS) is an integrated set of components for collecting, storing, and processing data and for providing information and knowledge. IS is commonly used by organizations, business firms, institutions to ...

  • Maleria Prevention Using Social Media and Text Mining 

    Umar, Ibrahim (AUST, 2021-07-18)
    The battle with malaria especially in the African continent still exists and has been taking the lives of many in the area, so there is a need to keep fighting the battle, monitor progress and challenges. One way is the ...

  • Text Retrieval Using Wavelet Tree 

    Isah, Hauwa Yakubu (AUST, 2021-07-20)
    The wavelet tree is a flexible data structure that permits representing sequences S[1; n] of symbols over an alphabet of size (n), within compressed space and supporting a wide range of operations on S. It has been used ...

  • 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 ...

  • 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, ...

  • 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 ...