Results 241 to 250 of about 2,234,842 (311)
Accumulation of recalcitrant dissolved organic carbon during cyanobacterial blooms in Meiliang Bay, Lake Taihu: insights into the microbial carbon pump. [PDF]
Front MicrobiolWu X, Chen X, Wu D, Zhang F, Du J.
europepmc +1 more source
Phytoplankton phenology through gene expression during the North Atlantic spring bloom decline. [PDF]
ISME CommunMeyer MG +6 more
europepmc +1 more source
Bacterial and microeukaryotic assemblage transitions during a harmful algal bloom in the Nakdong River. [PDF]
FEMS Microbiol EcolKang D, Kim MJ, Lee S.
europepmc +1 more source
On the analysis of Bloom filters
Information Processing Letters, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fabio Grandi
exaly +6 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
IEEE Transactions on Knowledge and Data Engineering, 2010
A Bloom filter is an effective, space-efficient data structure for concisely representing a set, and supporting approximate membership queries. Traditionally, the Bloom filter and its variants just focus on how to represent a static set and decrease the false positive probability to a sufficiently low level.
Ye Yuan, Jie Wu, Deke Guo
exaly +2 more sources
A Bloom filter is an effective, space-efficient data structure for concisely representing a set, and supporting approximate membership queries. Traditionally, the Bloom filter and its variants just focus on how to represent a static set and decrease the false positive probability to a sufficiently low level.
Ye Yuan, Jie Wu, Deke Guo
exaly +2 more sources
Cuckoo Filters and Bloom Filters: Comparison and Application to Packet Classification
IEEE Transactions on Network and Service Management, 2020 Bloom filters are used to perform approximate membership checking in a wide range of applications in both computing and networking, but the recently introduced cuckoo filter is also gaining popularity. Therefore, it is of interest to compare both filters
Jorge Martinez +2 more
exaly +2 more sources
New Wine in an Old Bottle: Data-aware Hash Functions for Bloom Filters
Proceedings of the VLDB Endowment, 2022In many applications of Bloom filters, it is possible to exploit the patterns present in the inserted and non-inserted keys to achieve more compression than the standard Bloom filter.
Arindam Bhattacharya +3 more
semanticscholar +1 more source
Journal of systems architecture, 2021
In this article, we propose an efficient Bloom filter and fuzzy extractor based user authentication technique, which is significant for an Internet of Things (IoT)-enabled multi-hop Wireless Sensor Networks (IoT-WSNs).
Anup Kumar Maurya +3 more
semanticscholar +1 more source
In this article, we propose an efficient Bloom filter and fuzzy extractor based user authentication technique, which is significant for an Internet of Things (IoT)-enabled multi-hop Wireless Sensor Networks (IoT-WSNs).
Anup Kumar Maurya +3 more
semanticscholar +1 more source
Learned Bloom Filters in Adversarial Environments: A Malicious URL Detection Use-Case
International Conference on High Performance Switching and Routing, 2021Learned Bloom Filters (LBFs) have been recently proposed as an alternative to traditional Bloom filters that can reduce the amount of memory needed to achieve a target false positive probability when representing a given set of elements.
P. Reviriego +3 more
semanticscholar +1 more source