Frontiers Big Data

Keyphrases

Publications

volume 6, 2023

Richa Singh, R. L. Ujjwal
Hybridized bio-inspired intrusion detection system for Internet of Things. Frontiers Big Data 6 (2023)
Torvald F. Ask, Kaur Kullman, Stefan Sütterlin, Benjamin J. Knox, Don Engel, Ricardo G. Lugo
A 3D mixed reality visualization of network topology and activity results in better dyadic cyber team communication and cyber situational awareness. Frontiers Big Data 6 (2023)
Daniele Sartirano, Kyriaki Kalimeri, Ciro Cattuto, Enrique Delamónica, Manuel Garcia-Herranz, Anthony Mockler, Daniela Paolotti, Rossano Schifanella
Strengths and limitations of relative wealth indices derived from big data in Indonesia. Frontiers Big Data 6 (2023)
Nhu-Y Tran, Hieu Trung Huynh, Pham The Bao
A proposed scenario to improve the Ncut algorithm in segmentation. Frontiers Big Data 6 (2023)
Christi J. Guerrini, Mary A. Majumder, Jill O. Robinson, Robert Cook-Deegan, Matthew Blank, Juli Bollinger, Janis Geary, Amanda M. Gutierrez, Maya Shrikant, Amy L. McGuire
Fresh takes on five health data sharing domains: Quality, privacy, equity, incentives, and sustainability. Frontiers Big Data 6 (2023)
Ramin Homayouni, Prashanti Manda, Aik Choon Tan, Zhaohui S. Qin
Editorial: AI and data science in drug development and public health: Highlights from the MCBIOS 2022 conference. Frontiers Big Data 6 (2023)
Ayushi Sharma, Pratham Sharma, Harsh Bamotra, Vibha Gaur
An extended approach to appraise electricity distribution and carbon footprint of bitcoin in a smart city. Frontiers Big Data 6 (2023)
Yu Zhu, Santiago Segarra
Hypergraphs with edge-dependent vertex weights: p-Laplacians and spectral clustering. Frontiers Big Data 6 (2023)
Mohammad MinHazul Haq, Hehuan Ma, Junzhou Huang
NuSegDA: Domain adaptation for nuclei segmentation. Frontiers Big Data 6 (2023)
Stefania Fiandrino, Ciro Cattuto, Daniela Paolotti, Rossano Schifanella
Combining environmental and socioeconomic data to understand determinants of conflicts in Colombia. Frontiers Big Data 6 (2023)
Darren S. J. Ting, Rashmi Deshmukh, Daniel S. W. Ting, Marcus Ang
Big data in corneal diseases and cataract: Current applications and future directions. Frontiers Big Data 6 (2023)
Liang Zheng, Yile Chen, Shan Jiang, Junxin Song, Jianyi Zheng
Predicting the distribution of COVID-19 through CGAN - Taking Macau as an example. Frontiers Big Data 6 (2023)
Kai Fan, Ranil Dhammapala, Kyle Ira Harrington, Brian Lamb, Yunha Lee
Machine learning-based ozone and PM2.5 forecasting: Application to multiple AQS sites in the Pacific Northwest. Frontiers Big Data 6 (2023)

volume 5, 2022