Zobrazeno 1 - 10
of 10 711
pro vyhledávání: '"P Crosby"'
Autor:
Lana, Gabriela Moreira, Meissner, Cornelia, Iyer, Siddhant, Hu, Xin, Jhaveri, Perin, Tibbits, Skylar, Crosby, Alfred J.
Natural systems, such as tendons and spider silk, demonstrate how the combination of strength and stretchability can be effectively achieved by integrating stiff and flexible network structures. Inspired by these systems, we developed a novel, solven
Externí odkaz:
http://arxiv.org/abs/2501.01522
Autor:
Crosby, Ethan, Mateo, Mario, Escala, Ivanna, Jerjen, Helmut, Müller, Oliver, Pawlowski, Marcel S.
We report the spectroscopic analysis of ten satellite galaxy candidates in the sphere of influence of the Sombrero galaxy (M104, NGC4594), based on data obtained with IFUM (Integral Field Units for Magellan). Based on their newly-observed recessional
Externí odkaz:
http://arxiv.org/abs/2412.02060
This paper addresses the challenge of enhancing cybersecurity in Blockchain-based Internet of Things (BIoTs) systems, which are increasingly vulnerable to sophisticated cyberattacks. It introduces an AI-powered system model for the dynamic deployment
Externí odkaz:
http://arxiv.org/abs/2405.12951
This paper presents a framework for securing blockchain-based IoT systems by integrating Physical Unclonable Functions (PUFs) and Zero-Knowledge Proofs (ZKPs) within a Hyperledger Fabric environment. The proposed framework leverages PUFs for unique d
Externí odkaz:
http://arxiv.org/abs/2405.12322
Autor:
Commey, Daniel, Appiah, Benjamin, Frimpong, Bill K., Osei, Isaac, Hammond, Ebenezer N. A., Crosby, Garth V.
Publikováno v:
2023 IEEE 48th Conference on Local Computer Networks (LCN), Daytona Beach, FL, USA, 2023, pp. 1-9
Adversarial Training is a proven defense strategy against adversarial malware. However, generating adversarial malware samples for this type of training presents a challenge because the resulting adversarial malware needs to remain evasive and functi
Externí odkaz:
http://arxiv.org/abs/2405.12266
This study proposes a framework to enhance privacy in Blockchain-based Internet of Things (BIoT) systems used in the healthcare sector. The framework addresses the challenge of leveraging health data for analytics while protecting patient privacy. To
Externí odkaz:
http://arxiv.org/abs/2405.11580
Autor:
Moed, Demi E., Dimitriyev, Michael S., Greenvall, Benjamin R., Grason, Gregory M., Crosby, Alfred J.
Publikováno v:
Soft Matter 2024
Inspired by adhesive bio-filamentous structure, such as bacterial pili, this work details the methods used to fabricate and characterize a surface-anchored array of thin, flexible and shape-responsive mesoscale polymer ribbons with a length-to-thickn
Externí odkaz:
http://arxiv.org/abs/2403.17283
Autor:
Fox, Geoffrey, Thomas, Mary P, Bhatia, Sajal, Brazil, Marisa, Gasparini, Nicole M, Merwade, Venkatesh Mohan, Neeman, Henry J., Carver, Jeff, Casanova, Henri, Chaudhary, Vipin, Colbry, Dirk, Crosby, Lonnie, Dewan, Prasun, Eisma, Jessica, Irfan, Ahmed, Kaehey, Kate, Liu, Qianqian, Ni, Zhen, Prasad, Sushil, Qasem, Apan, Saule, Erik, Sundaravadivel, Prabha, Tomko, Karen
This document describes a two-day meeting held for the Principal Investigators (PIs) of NSF CyberTraining grants. The report covers invited talks, panels, and six breakout sessions. The meeting involved over 80 PIs and NSF program managers (PMs). The
Externí odkaz:
http://arxiv.org/abs/2312.14199
Autor:
Voudouris, Konstantinos, Alhas, Ibrahim, Schellaert, Wout, Mecattaf, Matteo G., Slater, Benjamin, Crosby, Matthew, Holmes, Joel, Burden, John, Chaubey, Niharika, Donnelly, Niall, Patel, Matishalin, Halina, Marta, Hernández-Orallo, José, Cheke, Lucy G.
The Animal-AI Environment is a unique game-based research platform designed to facilitate collaboration between the artificial intelligence and comparative cognition research communities. In this paper, we present the latest version of the Animal-AI
Externí odkaz:
http://arxiv.org/abs/2312.11414
Autor:
Crosby, Ethan, Jerjen, Helmut, Müller, Oliver, Pawlowski, Marcel S., Mateo, Mario, Lelli, Federico
We report the discovery of 40 new satellite dwarf galaxy candidates in the sphere of influence of the Sombrero galaxy (M104) the most luminous galaxy in the Local Volume. Using the Subaru Hyper Suprime-Cam, we surveyed 14.4 square degrees of its surr
Externí odkaz:
http://arxiv.org/abs/2312.03486