Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm fc » algorithm etc (Expand Search), algorithm pca (Expand Search), algorithms mc (Expand Search)
fc function » spc function (Expand Search), _ function (Expand Search), i function (Expand Search)
algorithm a » algorithms a (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
a function » _ function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm fc » algorithm etc (Expand Search), algorithm pca (Expand Search), algorithms mc (Expand Search)
fc function » spc function (Expand Search), _ function (Expand Search), i function (Expand Search)
algorithm a » algorithms a (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
a function » _ function (Expand Search)
-
1381
A Solvent Selection Framework for Porous Organic Polymers
Published 2025“…In this work, we present a solvent selection toolkit for functional porous organic polymers. …”
-
1382
Data analyzed for the article of <b>Evaluating photoplethysmography-based pulsewave parameters and composite scores for assessment of cardiac function: A comparison with echocardio...
Published 2025“…PPG parameters were calculated by averaging measurements from each heartbeat during continuous recordings over a two-minute period. Concurrently, echocardiographic parameters were derived by averaging the data from 1-3 heartbeats, allowing for a direct comparison of cardiac function assessments between the two techniques, by the following. …”
-
1383
IEEE Big Data 2024 Presentation: Norma: A Framework for Finding Threshold Associations Between Continuous Variables Using Point-wise Function
Published 2025“…Norma associates point-wise functions with each variable-e.g., a function that returns poverty rates for each location in New Mexico. …”
-
1384
Data Sheet 1_Establishment of reliable identification algorithms for acute heart failure or acute exacerbation of chronic heart failure using clinical data from a medical informati...
Published 2025“…The highest sensitivity at 89.53% was observed for Algorithm 9. This algorithm was constructed using a combination of disease codes entered in electronic medical records, DPC, or health insurance claims data, abnormal BNP values in the moderate or high range (≥100 pg/mL), and medications for acute heart failure. …”
-
1385
<b>Fig. 3 | Performance analysis of microrobot navigation in various environments using reinforcement learning algorithms.</b>
Published 2025“…</b> Impact of different reward functions on the rate of target achievement. <b>f.</b> Effects of frame skipping on performance, presented in a logarithmic plot. …”
-
1386
Data Sheet 1_Advances in HD-EMG interfaces and spatial algorithms for upper limb prosthetic control.pdf
Published 2025“…<p>Upper limb amputation significantly affects daily functioning and quality of life. Although myoelectric prostheses offer a promising avenue for restoring motor capabilities, high rates of device abandonment underscore challenges in control performance and user integration. …”
-
1387
-
1388
NHPPP generation in R packages.
Published 2024“…The package’s functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function; the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme. …”
-
1389
Simulation metrics for the number of counts.
Published 2024“…The package’s functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function; the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme. …”
-
1390
Image1_Revisiting Southern Gallo-Romance from a complexity theory standpoint: Occitan.pdf
Published 2024“…<p>In this paper, the inner structure of the Occitan dialect network is revisited in the light of a range of cumulative (Ward’s method) vs. reductive (Complete linkage, Groupe Average, Weighted Average) hierarchical algorithms provided by Gabmap, an Online dialectometric application for calculating distance/similarities by edit distance (Levenshtein algorithm). …”
-
1391
Sponge construct of SKINNY-Hash.
Published 2024“…IoT devices are secured by cryptographic algorithms, but their dependability is a major concern. …”
-
1392
Hybrid redundancy for SKINNY block cipher.
Published 2024“…IoT devices are secured by cryptographic algorithms, but their dependability is a major concern. …”
-
1393
Tweakey updating schedule.
Published 2024“…IoT devices are secured by cryptographic algorithms, but their dependability is a major concern. …”
-
1394
Hybrid redundancy.
Published 2024“…IoT devices are secured by cryptographic algorithms, but their dependability is a major concern. …”
-
1395
Fault detection capability of RECO and DMRC.
Published 2024“…IoT devices are secured by cryptographic algorithms, but their dependability is a major concern. …”
-
1396
One SKINNY encryption round.
Published 2024“…IoT devices are secured by cryptographic algorithms, but their dependability is a major concern. …”
-
1397
G4SNVHunter workflow for identifying variants that affect G4 formation.
Published 2025“…Subsequently, the impact of the variants on the formation potential of the identified G4s will be assessed based on the G4Hunter algorithm (Middle panel). Finally, candidate variants can be filtered and visualized using functions provided by G4SNVHunter to screen out those that can potentially disrupt the formation of G4 structures (Right panel). …”
-
1398
-
1399
AE positioning projection.
Published 2025“…The K-SVD algorithm functions as an adaptive filter, learning from AE signals in various damage states to remove background noise and retain critical structural characteristics. …”
-
1400
K-SVD dictionary learning process.
Published 2025“…The K-SVD algorithm functions as an adaptive filter, learning from AE signals in various damage states to remove background noise and retain critical structural characteristics. …”