2023: International Conference on Artificial Intelligence and its Applications Proceedings

Articles

• Proceedings of International Conference on Artificial Intelligence and its Applications (icARTi 2023)

  Editor

  1-234

  • pdf

• A State of the Art Review on Natural Language Processing applied to the Malagasy Language

  Volatiana Marielle Ratianantitra

  1-5

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• A Framework for Selecting Optimal Network Protocols for IoT Technologies in Image and Vision-based Applications

  Waldon Hendricks, Boniface Kabaso

  6-14

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• Fifth Generation Non-Standalone to Standalone Wireless Architecture Reconstruction Solution and Implementation: South Africa Context

  Ahmed S Omar, Kingsley A Ogudo

  15-20

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• Reflections on Feature Engineering and Design Using Causal Machine Learning (CML) for African Swine Fever (ASF) Diagnosis

  Steven Lububu, Boniface Kabaso

  21-31

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• Optic Disc and Vessel Segmentation in Retinal Images using Correlation Texture

  Olawuyi Olubunmi Fatoki, Pius Adewale Owolawi, Temitope Mapayi

  32-43

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• Supporting Home-Language Education in Africa with Multi-Lingual Mathematics Tutoring using GPT-4

  Laurie Butgereit, Antoinique van Staden

  44-49

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• Identifying Research Topics in Explainable Artificial Intelligence (xAI): the Value Add of Natural Language Processing Techniques

  Judy van Biljon, Etienne van der Poel, Malesela Motlhape, Hulisani Mafune

  50-58

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• Implementing a Machine Learning based Hybrid Model to Counter Attacks in Mobile Edge Computing

  Emmanuel Sibusiso Chaki, Mthulisi Velempini

  59-64

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• Ethical Framework for Multi-Source Big Data Analytics Disease Surveillance in Public Healthcare

  Pelonomi Ramafi, Ignitia Motjolopane, Koga Gorejena

  65-73

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• The Integration of Automated Business Models and the Participants within the Workforce in Implementing Digital Transformation

  Marphil Mokoena, Gugulethu Baduza

  74-79

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• Pattern Matching in Python: Expanding the Horizons of Engineering Applications

  Malusi Sibiya

  80-86

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• Unleash the Power of Deep Neural Networks and Transfer Learning for Enhanced Face Recognition

  Oteko Tresor Lisungu, Kingsley Ogudo

  87-94

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• A Machine Learning Based Framework for Collecting and Using Social Media for Real-time Terrorist Attacks Prediction

  Lossan Bonde, Severin Dembele

  95-100

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• Machine learning as a feedback tool for the gestalt principle of proximity

  Bertram Haskins, Marna Haskins

  101-106

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• An Exploration of Blockchain Protocols for Trusted Vote Aggregation: A Consensus Algorithm Approach

  Patrick Mwansa, Boniface Kabaso

  107-113

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• Capstone Projects and their Transition into the Software Development Industry: A 10 Year Systematic Review of Literature

  Ismael Kato, Darelle Van Greunen

  114-119

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• An Exploration of Flow Control Using Machine Learning and Computational Fluid Dynamics

  Matthew Cornfield, Karen Bradshaw

  120-127

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• Measuring Misinformation Trends on Social Media in South Africa using Machine Learning

  Jabu Mtsweni, Lungisani Ndlovu, Sthembile Mthethwa, Nenekazi Mkuzangwe

  128-133

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• Evaluating Recommendation System Bias on a Public Dataset based on Demographic Information

  Vusumuzi Maphosa, Mfowabo Maphosa

  134-139

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• Abstractive Text Summarisation using Recurrent Neural Networks at the Paragraph Level

  Israel Christian Tchouya’a Ngoko, Boniface Kabaso

  140-145

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• Orchestration Tools For Efficient Deployment of IoT Applications In Fog Computing: A Systematic Review

  Sabelo Justice Mthembu, Ijeoma Noella Ezeji, Matthew Adigun

  146-151

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• Explainable AI modelling of Comorbidity in Pregnant Women and Children with Tropical Febrile Conditions

  Kingsley Attai, Christie Akwaowo, Daniel Asuquo, Nne-eka Esubok, Udeme-Abasi Nelson, Emem Dan, Okure Obot, Constance Amannah, Faith-Michael Uzoka

  152-159

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• Artificial Intelligence: Using BLAST Algorithm for DNA Classification of Thicket Vegetation

  Tapiwa Gundu

  160-164

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• A Convolutional Neural Network Model for Setswana Named Entity Recognition

  Shumile Chabalala, Pius Owolawi, Sunday Ojo

  165-171

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• Smart Water Metering System (SWMS) Adoption: A Systematic Literature Review

  Nwakego Joy Okoli

  172-180

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• Enhancing Grain Moisture Prediction with Artificial Neural Networks and Computational Fluid Dynamic

  Cubaka Birhakahwa Kelvin, Lagouge Tartibu

  181-188

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• Advancing Used Car Price Prediction in South Africa: An Empirical Examination of Machine Learning Techniques

  Zenzele Abel Msiza, Pius Adewale Owolawi

  189-196

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• Exploring Real-Time Sentiment Analysis Prototype for Retail Industry

  William Chong Wo Yuen, Suraj Juddoo

  197-204

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• Exploring Global Gun Violence Prediction through Machine Learning Models

  Mohamed Rasool, Mfowabo Maphosa

  205-211

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• Flight Delay Prediction Using Machine Learning: A Comparative Study of Ensemble Techniques

  Zimele Mtimkulu, Mfowabo Maphosa

  212-218

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• Analysing Health Insurance Customer Dataset to Determine Cross-Selling Potential

  Khulekani Mavundla, Surendra Thakur

  219-226

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• Multi-objective optimization of a solar photovoltaic thermal water collector using Grey Wolf Optimizer

  E Bakaya-Kyahurwa, L K Tartibu

  227-233

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• Deep Learning Approach via Deep Neural Network to Predict the Curve Progression of Adolescent Idiopathic Scoliosis: A Pilot Study

  Seongho Jang, Youngkook Kim, Shi-Uk Lee, Sunghee Lee

  234

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