A review of deep learning based methods for affect analysis using physiological signals
Emotions are distinct reactions to internal or external events with implications for the
organism. Automatic emotion recognition is a demanding task for pattern recognition and a …
organism. Automatic emotion recognition is a demanding task for pattern recognition and a …
Deep learning in neuroimaging data analysis: applications, challenges, and solutions
LK Avberšek, G Repovš - Frontiers in neuroimaging, 2022 - frontiersin.org
Methods for the analysis of neuroimaging data have advanced significantly since the
beginning of neuroscience as a scientific discipline. Today, sophisticated statistical …
beginning of neuroscience as a scientific discipline. Today, sophisticated statistical …
Optimization of pesticides spray on crops in agriculture using machine learning
Indu, AS Baghel, A Bhardwaj… - Computational …, 2022 - Wiley Online Library
Pesticides are chemicals used to eradicate pests. Not only are they used for plant protection
and livestock in agriculture, but they are also used in public areas to kill mosquitoes …
and livestock in agriculture, but they are also used in public areas to kill mosquitoes …
Is chatgpt a good personality recognizer? a preliminary study
In recent years, personality has been regarded as a valuable personal factor being
incorporated into numerous tasks such as sentiment analysis and product recommendation …
incorporated into numerous tasks such as sentiment analysis and product recommendation …
A DeepLSTM model for personality traits classification using EEG signals
A Deep Long Short-Term Memory (DeepLSTM) Deep Learning model for the classification
of personality traits using Electroencephalogram (EEG) signals is developed in this study …
of personality traits using Electroencephalogram (EEG) signals is developed in this study …
EEG based personality prediction using genetic programming
The reliable correlation between personality and brain signal ensures that inferences from
cognitive processes can be achieved. This research aims primarily to predict one's …
cognitive processes can be achieved. This research aims primarily to predict one's …
Visual affective stimulus database: A validated set of short videos
Two hundred and ninety-nine videos representing four categories (people, animals, objects,
and scenes) were standardized using Adobe Premiere Pro CC 2018, with a unified duration …
and scenes) were standardized using Adobe Premiere Pro CC 2018, with a unified duration …
A machine learning and deep learning approach for recognizing handwritten digits
A Sharma, H Bhardwaj, A Bhardwaj… - Computational …, 2022 - Wiley Online Library
Optical character recognition (OCR) can be a subcategory of graphic design that involves
extracting text from images or scanned documents. We have chosen to make unique …
extracting text from images or scanned documents. We have chosen to make unique …
Classification of Brain Tumor Images Using CNN
M Gupta, SK Sharma… - Computational …, 2023 - Wiley Online Library
A brain tumor is a serious malignant condition caused by unregulated as well as aberrant
cell partitioning. Recent advances in deep learning have aided the healthcare business …
cell partitioning. Recent advances in deep learning have aided the healthcare business …
Personality-Based Emotion Recognition Using EEG Signals with a CNN-LSTM Network
The accurate detection of emotions has significant implications in healthcare, psychology,
and human–computer interaction. Integrating personality information into emotion …
and human–computer interaction. Integrating personality information into emotion …