• How Machine Learning Can Evaluate the Influence of Socioeconomic and Climatic Factors in Agricultural Yield: A Case of Nigeria 

  Dappa, Tamuno-Opubo Godwin (AUST, 2023-05-10)

  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 ...
  
  
• 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 ...
  
  
• 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 ...
  
  
• 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 ...
  
  
• 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 ...
  
  
• 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 ...
  
  
• 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 ...
  
  
• 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 ...
  
  
• 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 ...
  
  
• 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 ...
  
  
• Design and Implementation of Multimedia Content on Smartphone for Learning Automata Theory 

  Yusuf, Sahabi Ali (AUST, 2013-06-13)

  Alternative methods of learning that will provide an avenue for students to construct knowledge independently has become the yearning of all and sundry. Computers are revolutionizing the educational institutions as well ...
  
  
• Malware Classification into Families Based on File Contents and Characteristics 

  Minjirbir, Jabir Shehu (2017-11-29)

  The use of malicious software (malware) as an instrument for carrying out different criminal activities both organised and non-organised have become the major threat faced by today’s world of connectivity. Frequency and ...
  
  
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  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 ...
  
  
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  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 ...
  
  
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  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 ...
  
  

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