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AI-powered literature review tools leverage machine learning to expedite and enhance the scholarly process of identifying, analyzing, and synthesizing relevant research.
AI tools for Literature Review
In the realm of computer science research, AI is reshaping the landscape of literature exploration. The days of laborious manual searches are fading into the past. Instead, AI-powered literature search tools wield sophisticated algorithms to swiftly unearth studies that align with your initial query, ensuring a comprehensive grasp of existing knowledge. This transformative process is further augmented by AI-driven research gap analysis, meticulously scrutinizing current literature to reveal underexplored domains and emerging inquiries within your specific field. The result? A literature review that paints a truly panoramic view of the subject matter.
But AI's impact extends beyond mere information retrieval. It also streamlines the writing journey. Enter AI-powered chatbot assistants, your virtual writing companions. They deftly structure your review and offer constructive feedback on drafts, akin to having a personal writing coach by your side. Moreover, AI-powered text summarization tools distill lengthy essays into succinct summaries, allowing you to extract vital nuggets for your review effortlessly. And when it comes to publishing, AI-powered journal matching tools eliminate guesswork. They analyze your research focus and target audience, recommending suitable academic journals to enhance your chances of successful publication. πβ¨
AI Tools
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- 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
- 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
- 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
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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: β½ 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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