Leveraging neighborhood and path information for influential spreaders recognition in complex networks
The study of influential spreaders has become a growing area of interest within network
sciences due to its critical implications in understanding the robustness and vulnerability of …
sciences due to its critical implications in understanding the robustness and vulnerability of …
Utilizing CPG-3D, graph theory anchored approach to recognize human action recognition
Graph theory originated as a fun way to solve math problems, but it has now evolved into a
significant mathematics subject with several applications in computer vision. The human …
significant mathematics subject with several applications in computer vision. The human …
Employing FGP-3D, a fully gated and anchored methodology, to identify skeleton-based action recognition
Recent years have seen an explosion in interest in and development of action recognition
based on skeletal data. Contemporary methods using fully gated units can successfully …
based on skeletal data. Contemporary methods using fully gated units can successfully …
A dual-stream encoder–decoder network with attention mechanism for saliency detection in video (s)
Abstract Salient Object Detection (SOD) is a crucial task within the domain of digital image
processing which aims to detect objects in images or videos that attract special human …
processing which aims to detect objects in images or videos that attract special human …
Computer vision-based approach for skeleton-based action recognition, SAHC
M Shujah Islam - Signal, Image and Video Processing, 2024 - Springer
Given their small size and low weight, skeleton sequences are a great option for joint-based
action detection. Recent skeleton-based action recognition techniques use feature …
action detection. Recent skeleton-based action recognition techniques use feature …
Identification of influential vertices in complex networks: A hitting time‐based approach
P Kumar, A Singh, AK Sharma - Concurrency and Computation …, 2024 - Wiley Online Library
Unravelling the dynamics of network vertices is pivotal, and traditional centrality measures
have limitations in adapting to structural changes, directed and weighted networks, and …
have limitations in adapting to structural changes, directed and weighted networks, and …
Link prediction grounded upon complex networks based model, based on MJMI-RW
Link prediction is the process of predicting the connection probability between two nodes
based on observable network data, such as network structural topology and node …
based on observable network data, such as network structural topology and node …