Vol 12 Issue 1 January 2024-March 2024

Abstract: Nowadays, there are many new health viruses that continue to exist anywhere that people can be affected. Knowing and familiarizing its symptoms, signs and effect can help elevate the health condition. As games can be a tool to educate the people, the researcher designed the application as 3D Educational Game using Unity, Adobe Photoshop CC, Blender for the 3D models, FL Studio for the in-game sounds, and C# as the programming language. As players progress through the game, there are levels to be unlocked along with health viruses such as: Diarrhea, Dengue, and COVID-19. The project was tested and improved using functionality and the compatibility test cases. Mobile Application Rating Scale (MARS) was adopted to evaluate the system. There are 37 end-users and 10 I.T experts participated in the testing procedure to measure the functionality of the game accordingly with a total average of 3.49 mean and standard deviation of 0.44 interpreted as the game provides enough information on the three health viruses presented in the game. The evaluation results of the applications proves that   application is an effective tool, informative and enjoyable way to spread awareness about health viruses introduced in the game.

Keywords: Game, 3D game, Educational game, Health Viruses.

Title: Virus Evasion: An Android 3D Game about Health Viruses

Author: JOHN CONREY CARL T. ARCILLA, JOHN ROMMEL G. CARIÑO, ORVILLE ALAIN H. CRISTOBAL, ZYRA JOYCE SANCHEZ

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 12, Issue 1, January 2024 - March 2024

Page No: 23-45

Research Publish Journals

Website: www.researchpublish.com

Published Date: 21-March-2024

Abstract: Fake news is a kind of propaganda in which false information is knowingly disseminated via news organizations and/or social media platforms. It is crucial to create methods of spotting false news information since its spread can have detrimental effects, such as influencing elections and widening political rifts. Today, the majority of people choose to obtain news online since it is convenient and affordable, ubiquitous, but this leads to the rapid spread of false information. News disseminated quickly among millions of users in a short amount of time as a result of the rise in the usage of social media platforms like Facebook, Twitter, etc. The effects of spreading false news are often much, from shaping public opinion to influencing election results in favour of particular politicians. With the use of the machine learning concept, this research seeks to perform binary classification of various news items that are available online. Additionally, it attempts to enable users to evaluate if a piece of news is true or false and to confirm the reliability of the website that is disseminating it.

Keywords: fake news, Machine Learning, machine learning, (ML Support Vector Machine (SVM), facebook, twitter.

Title: Machine Learning Approach to Fake News Detection

Author: Abiodun Abdulrazaq Ipaye, Adegbola Taofiq Adeola, Joda Shade Christiana, Abdulwahab Isiaka, Aibinuomo Ifemide, Uchechi Agbakwuru, Oyeneye Olawale

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 12, Issue 1, January 2024 - March 2024

Page No: 16-22

Research Publish Journals

Website: www.researchpublish.com

Published Date: 05-March-2024

Abstract: The study of prediction models, sentiment analysis, and recommendation systems has gained prominence in business and application research. It is essential to streamline the suggestion process based on customer needs as internet reviews of restaurants gain traction. This study analyses the emotional tone of online reviews using sentiment analysis and recommendation systems, and provides restaurants with insightful information about how well their products are received by customers. The key features of the study include deriving the factors that led to the model prediction, sentimental tone analysis using the explainable AI tool LIME, and SHAP. This will provide detailed insight into the key features that define the model and the driving forces behind its output.

Keywords: prediction; sentiment analysis; recommendation; LIME; SHAP.

Title: PREDICTION MODEL, SENTIMENT ANALYSIS AND RECOMMENDATION SYSTEM ON ZOMATO BANGALORE DATASET WITH XAI TOOLS LIME AND SHAP

Author: Mekhala Vinod Purohit, Dr. Shantha Rangaswamy

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 12, Issue 1, January 2024 - March 2024

Page No: 7-15

Research Publish Journals

Website: www.researchpublish.com

Published Date: 29-February-2024

Abstract: With the rapid development of technology, the application of artificial intelligence (AI) and cloud technology in the teaching field is gradually becoming popular. This article aims to explore the impact of AI-based cloud technology on classroom teaching effectiveness, including the opportunities and challenges it brings. Through literature review and empirical research, we found that AI and cloud technology can effectively improve teaching quality, promote personalized learning, and alleviate teachers' burden. However, there are also some challenges, such as data security issues, technical application difficulties, and the impact on traditional teaching models. Therefore, educators should fully recognize and respond to these challenges in order to achieve the best integration of technology and teaching.

Keywords: artificial intelligence（AI）; Cloud technology; Classroom teaching; Teaching effectiveness; Personalized learning.

Title: Exploring the Impact of AI-Based Cloud Technology on Classroom Teaching: Opportunities and Challenges

Author: Jundan Wang

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 12, Issue 1, January 2024 - March 2024

Page No: 1-6

Research Publish Journals

Website: www.researchpublish.com

Published Date: 28-January-2024