Scientific Research Publishing

Kumar, P., Singh, R. and Das, M. (2022) Energy-Efficient Sensor Networks for IoT-Based Livestock Monitoring: A Power Optimization Approach. Internet of Things in Agriculture, 9 ...

ABSTRACT: The rising global demand for livestock products requires innovative, data-driven approaches to enhance animal welfare and operational efficiency. Conventional livestock monitoring techniques ...
CoinTelegraph

Waterfall Network: Exploring a new path to blockchain scalability through a DAG-based architecture

Can a blockchain scale without breaking the promise of decentralization? Waterfall Network argues yes by leaving the linear blockchain model behind. In July 2024, Waterfall Network launched its ...
IEEE

Capturing Global Structural Features and Global Temporal Dependencies in Dynamic Social Networks Using Graph Convolutional Networks for Enhanced Analysis

Abstract: Modeling and analysis of complex social networks is an important topic in social computing. Graph convolutional networks (GCNs) are widely used for learning social network embeddings and ...
Forbes

Security Graphs Explained: An Innovative Approach To Network Security

Imagine standing atop a mountain, gazing at the vast landscape below, trying to make sense of the world around you. For centuries, explorers relied on such vantage points to map their surroundings.
EurekAlert!

Real-time, large-scale graph neural network inference through BingoCGN

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
IEEE

Medical Graph Diffusion: Hybrid Graph Diffusion with Heterogeneous Graph Convolutional Networks for Medical Text Classification

Abstract: Text classification is a critical task for understanding the knowledge behind text, especially in medical text. In this paper, we propose a medical graph diffusion model, named the MGD model ...