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Bending-based solution methodology using eigenvalue-eigenvector approach for analysis of foldable reinforced Golf Clubs cylindrical shell
J Huang, Z Pan, S Yang, M Habibi… - Mechanics of Advanced …, 2024 - Taylor & Francis
This paper is organized to present eigenvalue-eigenvector based solution method for elastic
bending analysis of foldable Golf Clubs cylindrical shell reinforced with graphene origami …
bending analysis of foldable Golf Clubs cylindrical shell reinforced with graphene origami …
Thermo-foldable bending analysis of tunable shells using a higher-order modeling
Z **, W Huo, M Habibi, I Albaijan - Mechanics of Advanced …, 2024 - Taylor & Francis
This article investigates effect of a higher order kinematic modeling on the elasto-static
bending results of a shell in double curved form. The graphene origami is introduced in this …
bending results of a shell in double curved form. The graphene origami is introduced in this …
Multi-load effect on the deformation analysis of composite nano reinforced origami sandwich panel
C Yu, P Lin, Z Wu, M Habibi… - Mechanics of Advanced …, 2024 - Taylor & Francis
Graphene origami in a copper matrix is used as a composition of core in a sandwich panel
between two piezoelectric/piezomagnetic layers. More accurate modeling of the composite …
between two piezoelectric/piezomagnetic layers. More accurate modeling of the composite …
[PDF][PDF] A novel human interaction recognition via composite features and Max entropy classifier
S Kamal, A Jalal - Proceedings of the 2024 19th International …, 2024 - researchgate.net
Human Interaction Recognition (HIR) is a topic of extensive research, posing a challenge for
scholars to understand various human interactions and create reliable systems for their …
scholars to understand various human interactions and create reliable systems for their …
[PDF][PDF] Drone-Based Video Surveillance Using YOLOv6 and Neuro-Fuzzy Classifier
Y Abbas, A Jalal - Proceedings of the 2024 19th International …, 2024 - researchgate.net
The rise of computer vision technology has seen development of advanced algorithms that
can accurately detect human activities from RGB videos taken by drone cameras. One major …
can accurately detect human activities from RGB videos taken by drone cameras. One major …
Target detection and classification via EfficientDet and CNN over unmanned aerial vehicles
Introduction Advanced traffic monitoring systems face significant challenges in vehicle
detection and classification. Conventional methods often require substantial computational …
detection and classification. Conventional methods often require substantial computational …
Multimodal Human Action Recognition Framework using an Improved CNNGRU Classifier
M Batool, M Alotaibi, SR Alotaibi, DA AlHammadi… - IEEE …, 2024 - ieeexplore.ieee.org
Activity recognition from multiple sensors is a promising research area with various
applications for remote human activity tracking in surveillance systems. Human activity …
applications for remote human activity tracking in surveillance systems. Human activity …
[PDF][PDF] Wearable sensors-based human locomotion and indoor localization with smartphone
M Rafiq, A Jalal - ICET24, 2024 - researchgate.net
Indoor localization is a hot topic due to the rising demand for location-based services and
smartphone use. Actions in indoor spaces provide valuable information that systems can …
smartphone use. Actions in indoor spaces provide valuable information that systems can …
[PDF][PDF] Holistic scene recognition through U-Net semantic segmentation and CNN
A Naseer, A Jalal - ICET24, 2024 - researchgate.net
The rapid pace at which technology is develo** has resulted in a significant rise in the
intelligence of machines. These days, researchers are dedicated on giving machines human …
intelligence of machines. These days, researchers are dedicated on giving machines human …
[PDF][PDF] An Automated Leave Disease Recognition in Precision Agriculture
A Jalal, S Mumtaz - 2024 - researchgate.net
Maintaining plant health, which has a direct impact on food security and economic stability,
requires early detection of plant diseases. Our method overcomes this difficulty by …
requires early detection of plant diseases. Our method overcomes this difficulty by …