Vol. 49 No. 1 (2023)

Articles

• Influence of Internet Usage on Academic Performance of College of Education Students: Rhetoric or Reality?

  Benjamin Baiden, Albert Ato-Jackson

  1-15

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• Delineating International Cooperation in the Fight against Cybercrime in Cameroon

  Kwei Haliday Nyingchia, Clinton Atabongakeng Fobellah, Elvin Fuwain Ndiwum

  30-45

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• Natural Language Processing for Cyberbullying Detection

  Jerry He, Lisa Chalaguine

  84-97

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• Comparative Analysis of Skin Cancer Image with Classification and Clustering Algorithms

  Muhammed Kara, Yüksel Terzi, Mehmet Ali Cengiz

  229-244

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• Student Attrition Prediction Using Machine Learning Techniques

  Doris Chinedu Asogwa, Emmanuel Chibuogu Asogwa, Emmanuel Chinedu Mbonu , Joshua Makuochukwu Nwankpa , Tochukwu Sunday Belonwu

  16-29

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• A Validity of in-Vehicle Networks Using CAN-FD

  Sukhyun Seo

  64-73

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• Smart Drone with Renewable Smart System

  Mays A. Al-bahrany, Ahmad T. AbdulSadda

  180-191

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• An Evaluation of Project Managers' Readiness for the Fourth Industrial Revolution in Tanzania

  Edephonce Ngemera Nfuka

  262-281

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• Oral Reading Fluency Can Be Estimated Across Languages with Text-To-Speech Software

  Alberto Luis Fernández, Gabriel Enrique Jáuregui

  98-106

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• Enhanced Covid-19 Contact-Tracing System

  Gabriel Ihuoma Lilian, Barifaa Naakorobee

  138-151

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• Next Generation AI-Based Firewalls: a Comparative Study

  Sina Ahmadi

  245-262

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• Examining the Advantages of Artificial Intelligence Alongside Its Potential Risks on Human Wellbeing, Data Privacy, and National Security

  Olushola Agbaje

  107-137

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• Implementation of Artificial Intelligence in Traffic Management in the United States

  Olushola Adegoke

  192-228

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• A Systematic Review of NOMA Variants for 5G and Beyond

  Duaa Saleem Hassan, Ahmed G. Wadday

  152-179

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• Assessing Machine Learning's Accuracy in Stock Price Prediction

  Aryan Bhatta, Pranshu Poudyal, Drishant Kumar Maharjan, Aryaa Thapa

  46-63

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• A Lightweight Way to Secure Automotive Networks Using CAN/CAN-FD

  Sukhyun Seo

  74-83

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• Formulation of a Computational Model for Predicting Drug Reactions Using Machine Learning

  Christopher Agbonkhese, Hettie Abimbola Soriyan, Kolawole Mosa

  152-161

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