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Cassava Leaf Disease Classification with Deep Learning
(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 ...
Text Retrieval Using Wavelet Tree
(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 ...
Maleria Prevention Using Social Media and Text Mining
(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 ...
Integrated Information System for a Food Processing Industry: Case Study of Cashew Nuts Processing
(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 ...
Ai-Enabled Pneumonia Detection System
(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
(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
(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 ...
Ensemble Learning for Url Phishing Detection
(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 ...
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 ...
Neural Collaborative Filtering and Autoencoder Enabled Deep Learning Models for Recommender Systems
(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 ...