Driver behavior modeling toward autonomous vehicles: Comprehensive review
Driver behavior models have been used as input to self-coaching, accident prevention
studies, and developing driver-assisting systems. In recent years, driver behavior …
studies, and developing driver-assisting systems. In recent years, driver behavior …
A review of AI cloud and edge sensors, methods, and applications for the recognition of emotional, affective and physiological states
Affective, emotional, and physiological states (AFFECT) detection and recognition by
capturing human signals is a fast-growing area, which has been applied across numerous …
capturing human signals is a fast-growing area, which has been applied across numerous …
Challenges and opportunities of text-based emotion detection: A survey
A Al Maruf, F Khanam, MM Haque, ZM Jiyad… - IEEE …, 2024 - ieeexplore.ieee.org
Emotion detection has become an intriguing issue for researchers owing to its
psychological, social, and commercial significance. People express their feelings directly or …
psychological, social, and commercial significance. People express their feelings directly or …
EEG-based emotion recognition using MobileNet Recurrent Neural Network with time-frequency features
Despite the developments in deep learning, extracting different features from brain signals
remains a crucial challenge in EEG-based emotion recognition. This study introduces a …
remains a crucial challenge in EEG-based emotion recognition. This study introduces a …
[PDF][PDF] Fish Freshness Identification Using Machine Learning: Performance Comparison of k-NN and Naïve Bayes Classifier.
Fish is one of the food sources that should be examined for freshness before being
consumed. The consumption of rotten fish can cause various diseases. The rotten fish have …
consumed. The consumption of rotten fish can cause various diseases. The rotten fish have …
[HTML][HTML] Performance analysis for classification of malnourished toddlers using k-nearest neighbor
Purpose: Malnutrition in toddlers is a nutritional issue that Indonesia is still dealing with.
Toddlers can suffer from decreasing cognitive and physical abilities, as well as being …
Toddlers can suffer from decreasing cognitive and physical abilities, as well as being …
[HTML][HTML] Multi sensor application-based for measuring the quality of human urine on first-void urine
A Yudhana, S Mukhopadhyay, ODA Prima… - Sensing and Bio …, 2021 - Elsevier
Urine can be used to diagnose diabetes in a non-invasively manner. Examination of blood
sugar levels as an indicator of diabetics is currently carried out using invasive methods …
sugar levels as an indicator of diabetics is currently carried out using invasive methods …
[HTML][HTML] Enhanced cross-dataset electroencephalogram-based emotion recognition using unsupervised domain adaptation
Emotion recognition holds great promise in healthcare and in the development of affect-
sensitive systems such as brain–computer interfaces (BCIs). However, the high cost of …
sensitive systems such as brain–computer interfaces (BCIs). However, the high cost of …
Determining eligible villages for mobile services using k-NN algorithm
To maximize and get population document services closer to the community, the Disdukcapil
district of Alor provides mobile services by visiting people in remote villages which difficult-to …
district of Alor provides mobile services by visiting people in remote villages which difficult-to …
An epilepsy detection method based on multi-dimensional feature extraction and dual-branch hypergraph convolutional network
J Liu, Y Yang, F Li, J Luo - Frontiers in Physiology, 2024 - frontiersin.org
Epilepsy is a disease caused by abnormal neural discharge, which severely harms the
health of patients. Its pathogenesis is complex and variable with various forms of seizures …
health of patients. Its pathogenesis is complex and variable with various forms of seizures …