Results 101 to 110 of about 13,604 (287)
Bloom Filters for Filesystem Forensics
, 2006 Digital forensics investigations become more time consuming as the amount of data to be investigated grows. Secular growth trends between hard drive and memory capacity just exacerbate the problem.
Bourg, Rachel
core +1 more source
Flow Fair Sampling Based on Multistage Bloom Filters
, 2016 Network traffic distribution is heavy-tailed. Most of network flows are short and carry very few packets, and the number of large flows is small. Traditional random sampling tends to sample more large flows than short ones.
Yuanzhen, Liu; Yancheng Institute of Technology +2 more
core +2 more sources
kmtricks: efficient and flexible construction of Bloom filters for large sequencing data collections. [PDF]
Bioinform Adv, 2022 Lemane T +3 more
europepmc +1 more source
Advanced Science, EarlyView.We report photostable, photoluminescent deep eutectic solvents (DESs) powered by in situ‐formed zero‐dimensional (0D) halometallates. Stabilized by microenvironment‐controlling hydrogen bond acceptor (HBA) and donor (HBD) networks, these DESs exhibit vibrant, metal ion‐tunable emission (PLQY = 60.2%).
Jeesu Moon +4 more
wiley +1 more source
A Cache Architecture for Counting Bloom Filters: Theory and Application
Journal of Electrical and Computer Engineering, 2011 Within packet processing systems, lengthy memory accesses greatly reduce performance. To overcome this limitation, network processors utilize many different techniques, for example, utilizing multilevel memory hierarchies, special hardware architectures,
Mahmood Ahmadi, Stephan Wong
doaj +1 more source
Advanced Science, EarlyView.Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
On the falsepositive rate of Bloom filters
, 2008 . Bloom filters are a randomized data structure for membership queries dating back to 1970. Bloom filters sometimes give erroneous answers to queries, called false positives.
Michiel Smid +7 more
core
Comparing Set Reconciliation Methods Based on Bloom Filters and Their Variants
Tsinghua Science and Technology, 2016 Set reconciliation between two nodes is widely used in network applications. The basic idea is that each member of a node pair has an object set and seeks to deliver its unique objects to the other member. The Standard Bloom Filter (SBF) and its variants,
Zhiyao Hu +5 more
doaj +1 more source
A Conserved DT2‐bZIP66‐NF‐YC4 Regulatory Module Confers Drought Tolerance in Rice and Arabidopsis
Advanced Science, EarlyView.This study identifies a conserved tripartiteDT2–bZIP66–NF‐YC4 transcriptional module that enhances rice drought tolerance by activating stress‐responsive genes. This regulatory complex is functionally conserved across cereals and Arabidopsis, providing promising targets for engineering drought‐resilient crops. ABSTRACT Drought stress severely restricts
Jun Shen +18 more
wiley +1 more source
An optimization problem related to Bloom filters with bit patterns
, 2017 Bloom filters are hash-based data structures for membership queries without false negatives widely used across many application domains.They also have become a central data structure in bioinformatics.
Schliep, Alexander +5 more
core +1 more source