Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning by Damir Mulc, Jaksa Vukojevic, Eda Kalafatic, Mario Cifrek, Domagoj Vidovic, Alan Jovic

Subjects: “…depression detection…”
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DepITCM: an audio-visual method for detecting depression by Lishan Zhang, Lishan Zhang, Zhenhua Liu, Yumei Wan, Yunli Fan, Diancai Chen, Qingxiang Wang, Kaihong Zhang, Yunshao Zheng

Subjects: “…depression detection…”
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Multimodal Data Fusion for Depression Detection Approach by Mariia Nykoniuk, Oleh Basystiuk, Nataliya Shakhovska, Nataliia Melnykova

Subjects: “…depression detection…”
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Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques by Waleed Bin Tahir, Shah Khalid, Sulaiman Almutairi, Mohammed Abohashrh, Sufyan Ali Memon, Jawad Khan

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Enhancing Arabic text-to-speech synthesis for emotional expression in visually impaired individuals using the artificial hummingbird and hybrid deep learning model by Mahmoud M. Selim, Mohammed S. Assiri

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