Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach

Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Xehetasun bibliografikoak
Egile Nagusiak:	Esha, Ishraq Ahmed, Rahman, Shahrin, Chowdhury, Sayem Kader, Mim, Jannatul Ferdous
Beste egile batzuk:	Rabiul Alam, Md. Golam
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2023
Gaiak:	Emotion EEG Spectrogram NN XGBoost AI Affective-computing Human computer interaction Emotion recognition
Sarrera elektronikoa:	http://hdl.handle.net/10361/19477

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