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2 articles for “SEED-V dataset”

• Published Subscription Review Article 31 Dec 2025

  Emotion Recognition from Electroencephalogram Signal and Eye Movement Based on Deep Learning

  By Rajendra Khanal, Raj Kumar Paneru, Susheel Thapa, Surendra Shrestha

  Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …

  Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article →

• Published Subscription Original Research 3 Jul 2024

  Identification of Papaya Fruit Ripening Process Using AI

  By Jaya M. Pattanshetti, Ms. Nutan N. Patil, Ms. Pallavi S. Khanagonka, Ms. Shivani K. Dharmoji, Ms. Shradha D. Kurangi

  Abstract: Identifying the ripening process of papaya fruit using artificial intelligence involves employing machine learning algorithms to analyze various features such as color changes, texture alterations and chemical compositions. This model is capable of analyzing visual cues to determine the stage of ripeness. The dataset compares images of papaya at various ripening stages, and our AI model demonstrated high accuracy in classifying these stages. Employing machine learning algorithms and image processing …

  Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 23–30 Read article →