Artificial intelligence methodologies for building evacuation plan modeling
In recent years, the use of artificial intelligence methodologies has demonstrated
effectiveness in improving the safety and efficiency of building evacuations during …
effectiveness in improving the safety and efficiency of building evacuations during …
Context aware crowd tracking and anomaly detection via deep learning and social force model
The world's expanding populace, the variety of human social factors, and the densely
populated environment make humans feel uncertain. Individuals need a safety officer who …
populated environment make humans feel uncertain. Individuals need a safety officer who …
Dynamic hand gesture recognition for smart lifecare routines via K-Ary tree hashing classifier
H Ansar, A Ksibi, A Jalal, M Shorfuzzaman… - Applied Sciences, 2022 - mdpi.com
Featured Application The proposed system is an image processing module that monitors,
tracks, and recognizes hand gestures and has been evaluated over publicly available …
tracks, and recognizes hand gestures and has been evaluated over publicly available …
Human interaction and classification via k-ary tree hashing over body pose attributes using sports data
Human interaction has always been a critical aspect of social communication. Human action
tracking and human behavior recognition are all indicators that assist in investigating human …
tracking and human behavior recognition are all indicators that assist in investigating human …
The spatiotemporal prediction method of urban population density distribution through behaviour environment interaction agent model
J Yang, Y Shi, Y Zheng, Z Zhang - Scientific Reports, 2023 - nature.com
Based on the interrelationship between the built environment and spatial–temporal
distribution of population density, this paper proposes a method to predict the spatial …
distribution of population density, this paper proposes a method to predict the spatial …
Combination of Deep Learning Models for Student's Performance Prediction with a Development of Entropy Weighted Rough Set Feature Mining
S Nayani, SR P - Cybernetics and Systems, 2023 - Taylor & Francis
Nowadays, the prediction of student performance is still complicated to analyze the talent of
individuals and the effort to improve their academic performance. Moreover, the researchers …
individuals and the effort to improve their academic performance. Moreover, the researchers …
An optimized system for human behaviour analysis in E-learning
In several industries, artificial intelligence is becoming more and more popular. Artificial
intelligence is commonly used in the interactions between individuals and objects …
intelligence is commonly used in the interactions between individuals and objects …
Human body 3D reconstruction and gait analysis via features mining framework
Technology increasingly governs the globe, and machines are becoming increasingly
sophisticated. To make living better, scientists are aiming to offer machines having the ability …
sophisticated. To make living better, scientists are aiming to offer machines having the ability …
Pedestrian behavior recognition via a smart graph-based optimization
Innovative technology and improvements in intelligent machinery, transport networks,
emergency mechanisms, and educational facilities define the modern world. It is difficult to …
emergency mechanisms, and educational facilities define the modern world. It is difficult to …
[PDF][PDF] Intelligent Fine-Grained Daily Living Locomotion Prediction Based on Skeleton Modeling and CNN.
Activities of daily living are important for human locomotion prediction. Humans perform
several activities while moving from one place to another. Some of these activities are …
several activities while moving from one place to another. Some of these activities are …