Students' behavior mining in e-learning environment using cognitive processes with information technologies
A Jalal, M Mahmood - Education and Information Technologies, 2019 - Springer
Rapid growth and recent developments in education sector and information technologies
have promoted E-learning and collaborative sessions among the learning communities and …
have promoted E-learning and collaborative sessions among the learning communities and …
WHITE STAG model: Wise human interaction tracking and estimation (WHITE) using spatio-temporal and angular-geometric (STAG) descriptors
To understand human to human dealing accurately, human interaction recognition (HIR)
systems require robust feature extraction and selection methods based on vision sensors. In …
systems require robust feature extraction and selection methods based on vision sensors. In …
Robust spatio-temporal features for human interaction recognition via artificial neural network
M Mahmood, A Jalal, MA Sidduqi - … International Conference on …, 2018 - ieeexplore.ieee.org
Human Interaction Recognition plays a key role in identification of usual and unusual human
behaviors and facilitates public dealings, violence detection, robots perception, and virtual …
behaviors and facilitates public dealings, violence detection, robots perception, and virtual …
Stochastic remote sensing event classification over adaptive posture estimation via multifused data and deep belief network
Advances in video capturing devices enable adaptive posture estimation (APE) and event
classification of multiple human-based videos for smart systems. Accurate event …
classification of multiple human-based videos for smart systems. Accurate event …
A survey on vision based activity recognition, its applications and challenges
Tracking objects is gaining momentum in the field of research due to its widespread
applications. Such systems can be enhanced or made more meaningful by allowing the …
applications. Such systems can be enhanced or made more meaningful by allowing the …
Multiple events detection using context-intelligence features
Event detection systems are mainly used to observe and monitor human behavior via red
green blue (RGB) images and videos. Event detection using RGB images is one of the …
green blue (RGB) images and videos. Event detection using RGB images is one of the …
Semi-supervised feature learning for improving writer identification
Data augmentation is typically used by supervised feature learning approaches for offline
writer identification, but such approaches require a mass of additional training data and …
writer identification, but such approaches require a mass of additional training data and …
DeepLocate: Smartphone based indoor localization with a deep neural network ensemble classifier
I Ashraf, S Hur, S Park, Y Park - Sensors, 2019 - mdpi.com
A quickly growing location-based services area has led to increased demand for indoor
positioning and localization. Undoubtedly, Wi-Fi fingerprint-based localization is one of the …
positioning and localization. Undoubtedly, Wi-Fi fingerprint-based localization is one of the …
A discriminative deep model with feature fusion and temporal attention for human action recognition
Activity recognition which aims to accurately distinguish human actions in complex
environments plays a key role in human-robot/computer interaction. However, long-lasting …
environments plays a key role in human-robot/computer interaction. However, long-lasting …
Parsing geometry using structure-aware shape templates
V Ganapathi-Subramanian, O Diamanti… - … Conference on 3D …, 2018 - ieeexplore.ieee.org
Real-life man-made objects often exhibit strong and easily-identifiable structure, as a direct
result of their design or their intended functionality. Structure typically appears in the form of …
result of their design or their intended functionality. Structure typically appears in the form of …