Research papers
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Diet Librarian
Apr 20, 2026, 10:31:05 AMApr 20
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Dear Professionals,
If possible, kindly send the following research papers:
DOI: 10.1201/9781003773962-57
DOI: 10.1201/9781003773962-56
DOI: 10.1201/9781003773962-53
DOI: 10.1201/9781003773962-66
https://www.routledge.com/Advanced-Pathways-in-Electrical-Communication-and-Automation-Reconfigurable-Systems-Smart-Energy-and-AI-for-Industry-50/Punitha-Syedakbar-Jeyasudha/p/book/9781041302971
Thanking you.
Dr. Alka V. Gohel
Chief Librarian
Darshan University
Darshan University
Rajkot-363650
Gujarat
Diet Librarian
Apr 22, 2026, 12:24:53 PMApr 22
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Dear Professionals,
If possible, kindly share the following
1. A hybrid deep learning framework for multilingual depression detection and symptom classification from social media text (10.1007/s41870-025-03055-1)
2. A Context-Aware Framework for Depression Detection in Multilingual Social Media Content (10.1109/QPAIN66474.2025.11172053)
3. The Unspoken Words: Leveraging Transformer-based Approaches for Detecting Depression from Social Media (10.1109/ECCE64574.2025.11013276)
4. Depression Detection in Hindi-English Code-Mixed Language Using Machine Learning (10.1007/978-981-96-8043-6_6)
5. AI Techniques for Detecting Depression in Social Media: A Deep Learning and Transformer Approach (10.1007/978-3-032-05855-3_33)
6. Deep Learning NLP Technique for Automated Depression Identification from Social Media Text (10.1109/ICICAT68430.2025.11414747)
7. Deep linguistic analysis for depression in social media using RoBERTa and CNN (10.1007/s10772-025-10218-9)
8. Multilingual Depression Detection in Online Social Media Across Eight Indian Languages (10.1109/INOCON60754.2024.10511869)
9. Detecting Signs of Depression from Social Media Texts using Generalized Autoregressive Pretraining Transformer Model (10.1109/ICCIT60459.2023.10441486)
10. DEPTWEET: A typology for social media texts to detect depression severities (10.1016/j.chb.2022.107503)
11. Computational Psychiatry: Leveraging Deep Learning for Depression Detection in Social Media Text Analysis (10.1109/ICCCNT61001.2024.10725639)
2. A Context-Aware Framework for Depression Detection in Multilingual Social Media Content (10.1109/QPAIN66474.2025.11172053)
3. The Unspoken Words: Leveraging Transformer-based Approaches for Detecting Depression from Social Media (10.1109/ECCE64574.2025.11013276)
4. Depression Detection in Hindi-English Code-Mixed Language Using Machine Learning (10.1007/978-981-96-8043-6_6)
5. AI Techniques for Detecting Depression in Social Media: A Deep Learning and Transformer Approach (10.1007/978-3-032-05855-3_33)
6. Deep Learning NLP Technique for Automated Depression Identification from Social Media Text (10.1109/ICICAT68430.2025.11414747)
7. Deep linguistic analysis for depression in social media using RoBERTa and CNN (10.1007/s10772-025-10218-9)
8. Multilingual Depression Detection in Online Social Media Across Eight Indian Languages (10.1109/INOCON60754.2024.10511869)
9. Detecting Signs of Depression from Social Media Texts using Generalized Autoregressive Pretraining Transformer Model (10.1109/ICCIT60459.2023.10441486)
10. DEPTWEET: A typology for social media texts to detect depression severities (10.1016/j.chb.2022.107503)
11. Computational Psychiatry: Leveraging Deep Learning for Depression Detection in Social Media Text Analysis (10.1109/ICCCNT61001.2024.10725639)
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