Results 181 to 190 of about 175,583 (233)

A comparison of graph neural networks for malware classification

Journal of Computer Virology and Hacking Techniques, 2023
Managing the threat posed by malware requires accurate detection and classification techniques. Traditional detection strategies, such as signature scanning, rely on manual analysis of malware to extract relevant features, which is labor intensive and ...
Vrinda Malhotra, Katerina Potika, M. Stamp   +2 more
semanticscholar   +1 more source

Distributed Sensor Selection for Speech Enhancement With Acoustic Sensor Networks

IEEE/ACM Transactions on Audio Speech and Language Processing, 2023
In distributed acoustic sensor networks, only a few nodes make a significant contribution to speech enhancement tasks. Using these most informative nodes instead of the entire network not only avoids unnecessary energy consumption but also prolongs the ...
De Hu, Qintuya Si, R. Liu, F. Bao
semanticscholar   +1 more source

Molecular Geometry Generation Processes Through Hybrid Quantum-Classical Generative Adversarial Networks and Python-Based Self-Consistent Field Molecular Calculations

International Conference on Quantum Computing and Engineering, 2023
Current compound synthesis and reaction pathway determination are implemented with computational chemistry methods, but methodological improvements are needed to increase precision, accuracy, and efficiency.
Max Cui, Adelina Chau, Michelle Pan, Vaibhav Vaiyakarnam, Larry McMahan   +4 more
semanticscholar   +1 more source

Graph-Based Time Expansion Routing Scheme for UAV-Assisted Emergency Networks

Global Communications Conference, 2023
An effective communication is crucial yet challenging due to the damage sustained by ground communication infrastructure. A promising solution for enhancing emergency communication involves leveraging long-endurance fixed-wing UAVs to act as ...
Linrun Jiang, Li Wang, Lianming Xu, Yuming Zhang, Aiguo Fei   +4 more
semanticscholar   +1 more source

Consensus of Positive Networked Systems on Directed Graphs

IEEE Transactions on Neural Networks and Learning Systems, 2021
This article addresses the distributed consensus problem for identical continuous-time positive linear systems with state-feedback control. Existing works of such a problem mainly focus on the case where the networked communication topologies are of ...
Jason J. R. Liu, K. Kwok, Yukang Cui, Jun Shen, J. Lam   +4 more
semanticscholar   +1 more source

Integrating Large Language Model and Logic Programming for Tracing Renewable Energy Use Across Supply Chain Networks

Applied System Innovation
Global warming is a critical issue today, largely due to the widespread use of fossil fuels in everyday life. One promising solution to reduce reliance on conventional energy sources is to promote the use of renewable power.
Peng Su, Rui Xu, Wenbin Wu, Dejiu Chen
semanticscholar   +1 more source

Connectivity Maintenance in Uncertain Networks under Adversarial Attack

IEEE Conference on Computer Communications, 2022
This paper studies the problem of connectivity maintenance in adversarial uncertain networks, where a defender prevents the largest connected component from being decomposed by an attacker.
Jianzhi Tang, Luoyi Fu, Jiaxin Ding, Xinbing Wang, Guihai Chen   +4 more
semanticscholar   +1 more source

No-code approach to building semantic networks by means of prompt engineering

Collection Information technology and security
The article proposes a no-code approach to building semantic networks by means of prompt engineering using large language models (LLMs). A framework is developed in which the basic primitives – condition, loop, and function – are combined into ...
D. Lande, Oleksandr Rybak
semanticscholar   +1 more source

FormulaOne: Measuring the Depth of Algorithmic Reasoning Beyond Competitive Programming

arXiv.org
Frontier AI models demonstrate formidable breadth of knowledge. But how close are they to true human -- or superhuman -- expertise? Genuine experts can tackle the hardest problems and push the boundaries of scientific understanding.
Gal Beniamini, Y. Dor, Alon Vinnikov, Shir Peled, Or Weinstein, Or Sharir, Noam Wies, Tomer Nussbaum, Ido Ben Shaul, Tomer Zekharya, Yoav Levine, Shai Shalev-Shwartz, A. Shashua   +12 more
semanticscholar   +1 more source

Finding conserved low‐diameter subgraphs in social and biological networks

Networks
The analysis of social and biological networks often involves modeling clusters of interest as cliques or their graph‐theoretic generalizations. The k$$ k $$ ‐club model, which relaxes the requirement of pairwise adjacency in a clique to length‐bounded ...
Hao Pan, Yajun Lu, Balabhaskar Balasundaram, Juan S. Borrero   +3 more
semanticscholar   +1 more source