/SLR-FC

Systematic Literature Review (SLR) using AI involves leveraging artificial intelligence techniques to automate and expedite the process of reviewing and synthesizing large volumes of scholarly literature.

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Unlocking Scholarly Insights: How AI Enhances Literature Reviews

JOIN US on April 22nd for the 2024 Research Colloquium, with the theme 'Unlocking Scholarly Insights: How AI Enhances Literature Reviews.' This event aims to enhance research proposals, foster a culture of innovation, and facilitate skills development among participants. It will feature resource speaker Assoc. Prof. Dr. Mohd Shahizan Othman from Universiti Teknologi Malaysia. Dr. Shahizan, an Associate Professor at Universiti Teknologi Malaysia (UTM), is passionate about education and research. With a focus on information retrieval, data mining, machine learning, and more, he's published numerous highly cited research papers. Dr. Shahizan actively contributes to the open-source community by creating courses and resources like "Research Design and Analysis in Data Science" and "Big Data Management." Renowned as an AI research expert, he conducts lectures at UTM and international universities. This is an excellent opportunity to be part of the future of academic research, so don't miss out!

AI Tools

No. Content File
1. Top Computer Science Literature Databases
2. Prompt: ChatGPT, CoPilot, Gemini
3. Research Gaps
4. Paper Discovery
5. Paper Visualization
6. Chatbot and Assistance
7. Text Summarizers
8. Journal Matching
9. Citation Management

Download

  1. Li, J., Othman, M. S., Chen, H., & Yusuf, L. M. (2024). Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning. Journal of Big Data, 11, Article 36. https://doi.org/10.1186/s40537-024-00892-y
  2. Li, J., Othman, M. S., Chen, H., & Yusuf, L. M. 2024. A critical review of feature selection methods for machine learning in IoT security. International Journal of Communication Networks and Distributed Systems, 30(3), 264-312
  3. Saleh, D. S., & Othman, M. S. (2024). Exploring the challenges of diagnosing thyroid disease with imbalanced data and machine learning: A systematic literature review. Baghdad Science Journal, 21(3), 1119-1136. https://dx.doi.org/10.21123/bsj.2023.8544
  4. Image

Materials

No Lesson Topic
1. Generative AI Generative AI Global Interest Report 2023
2. Installation & Sign in ChatGPT, BingAI, Gemini and AIPRM for ChatGPT
3. Prompts Effective prompts
ChatGPT Expert Prompts
ChatGPT Prompts For Research Papers
ChatGPT Prompts for Academic Writing
215+ ChatGPT Prompts & How to Write your Own
AIPRM Prompt Templates
Chat with Copilot regarding the PDF file
4. Copywriting Role of Copywriting
Case study: ⚽ My Bola
5. Image Creator Bing's Image Creator
Prompt: Malaysian Cultural Artistry
Image Prompt Generator
6. AI Tools AI Tools for Literature Review
Useful AI Tools
AI Tools for Various Tasks
7. AI Show Case Future of Work
Stunning AI shows how it would kill 90%. w Elon Musk
Artificial Intelligence: 60 Minutes
8. AI Apps Roam Around
Sora

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