In this paper, we resolve the challenging obstacle of detecting pedestrians with the ubiquity
of irregularities in scale, rotation, and the illumination of the natural scene images natively …

Analyzing video content and classification are the major challenges for computer vision
applications. Thus, the proposed research develops a new attention-based deep Q …

Identifying k ey frames is the first and necessary step before solving the variety of other B
haratanatyam problems. The paper aims to partition the momentarily stationary frames (key …

Distance learning through online platforms has recently emerged as a significant addition to
the educational system, providing support and enhancing traditional delivery modes in …

Training and validation sets of labeled data are important components used in supervised
learning to build a classification model. During training, most learning algorithms use all …

Previous research studies in sports content analysis have focused based on the
spatiotemporal instead of a content-based viewpoint. Currently the view for classification of …

In this paper, we address the challenging difficulty of detecting pedestrians with variation in
scale and the illumination of the images. Occurrences of pedestrians with such variations …

Herein, quasi-spherical iron oxide nanoparticles with characteristic catalytic and antioxidant
properties are synthesized using fruit peel extracts as an alternative, effective, affordable …

In content-based video retrieval, the phases of video frame selection and 3-dimensional
feature extraction are especially crucial. These stages should be optimized based on …

Disorders of swallowing often lead to pneumonia when material enters the airways
(aspiration). Flexible Endoscopic Evaluation of Swallowing (FEES) plays a key role in the …