Two recent surveys explore the application of AI and deep learning in distinct fields. One paper focuses on explainable AI for detecting mental disorders through social media, emphasizing the need for transparency in healthcare AI. Another survey reviews deep learning techniques for crops, fisheries, and livestock, highlighting challenges and future directions like multimodal data integration and edge-device deployment. Additionally, several articles discuss the distinctions between AI, Machine Learning, and Deep Learning, often with practical Python examples, while others highlight AI's role in agriculture and data science education. AI
IMPACT Clarifies distinctions between AI, ML, and DL, and surveys their applications in mental health and agriculture.
RANK_REASON The cluster contains two academic survey papers and several articles discussing the definitions and applications of AI, ML, and DL.
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- Data Science
- Data Visualization
- Machine Learning
- Python
- RStats
- Statistics Globe Hub
- AI
- Agriculture
- arXiv
- Deep Learning
- Explainable AI
- Fisheries
- Livestock
- Mental Disorder Detection
- Social Media
- Towards AI
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