A Comparative Study of Deep Learning Models for Human Activity Recognition
Abstract Human Activity Recognition (HAR) is essential for real-time surveillance and
security systems, enabling the detection and classification of human actions. This study …
security systems, enabling the detection and classification of human actions. This study …
RWHO: A hybrid of CNN architecture and optimization algorithm to predict basal cell carcinoma skin cancer in dermoscopic images
Basal cell carcinoma (BCC) is a type of skin cancer that initiates from the epithelial cells of
our skin. Compared to other forms of cancer, BCC infrequently spreads to other parts of the …
our skin. Compared to other forms of cancer, BCC infrequently spreads to other parts of the …
[PDF][PDF] MULTI-VIEWS HUMAN DETECTION AND ACTIVITY RECOGNITION USING 3D SKELETON MODEL
S Win, TLL Thein - ijcse.com
Skeleton-based human detection and activity recognition are greatly affected by computer
vision and are available in real-world applications such as security, the physical condition of …
vision and are available in real-world applications such as security, the physical condition of …
[PDF][PDF] Laporan Penelitian RedMeat
A Khoerul - repo.stimata.ac.id
Komputer memiliki keterbatasan dalam hal identifikasi dan mengenali objek, hingga saat ini,
tingkat ketepatan dalam mengklasifikasikan objek dalam gambar bahkan tidak mendekati …
tingkat ketepatan dalam mengklasifikasikan objek dalam gambar bahkan tidak mendekati …