Distribution of VVD as suggested by the QuickOpt algorithm. by Kamil Sedláček (13864053)

Subjects:

QRSd with synchronous biventricular pacing and after QuickOpt optimization. by Kamil Sedláček (13864053)

Subjects:

Distribution of relative QRSd prolongation due to QuickOpt optimization. by Kamil Sedláček (13864053)

Subjects:

Homomorphic binary tree. by Jianhua He (341366)

Demographic characteristics of the study population (N = 37). by Kamil Sedláček (13864053)

Subjects:

Correlation between QuickOpt-suggested VVD and QuickOpt-related QRSd prolongation. by Kamil Sedláček (13864053)

Subjects:

Time(ms) and KFLOPs savings of multi-agents tasks. by Hongjie Zhang (136127)

Complex traffic line and track point diagram. by Mingkang Sun (6498791)

Complex traffic line and track point diagram. by Mingkang Sun (6498791)

Dynamic window based median filtering algorithm. by Li Yuan (102305)

“…The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Grouping of complex substances using analytical chemistry data: A framework for quantitative evaluation and visualization by Melis Onel (849188)

“…Here, we propose a framework with unsupervised and supervised analyses to optimally group complex substances based on their analytical features. …”

Base matrix of (648,1296) regular QC-LDPC code with a column and row degree of 3 and 6, respectively. by Hasnain Raza (10492217)

The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

Improved DAE based on LSTM. by Li Yuan (102305)

“…The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Complexity comparison of different models. by Li Yuan (102305)

“…The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Table_1_PHREND®—A Real-World Data-Driven Tool Supporting Clinical Decisions to Optimize Treatment in Relapsing-Remitting Multiple Sclerosis.docx by Stefan Braune (8904494)

Flow of operation of improved KMA. by Li Yuan (102305)

“…The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Autoencoder structure. by Li Yuan (102305)

“…The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

9MM <i>Gallus gallus</i> protein BLAST. by Matthys G. Potgieter (16384775)

“…Here we describe a novel approach, <b>MetaNovo</b>, that combines existing open-source software tools to perform scalable <i>de novo</i> sequence tag matching with a novel algorithm for probabilistic optimization of the entire <b>UniProt</b> knowledgebase to create tailored sequence databases for target-decoy searches directly at the proteome level, enabling metaproteomic analyses without prior expectation of sample composition or metagenomic data generation and compatible with standard downstream analysis pipelines.…”

UniPept pept2lca analysis of MLI samples. by Matthys G. Potgieter (16384775)

“…Here we describe a novel approach, <b>MetaNovo</b>, that combines existing open-source software tools to perform scalable <i>de novo</i> sequence tag matching with a novel algorithm for probabilistic optimization of the entire <b>UniProt</b> knowledgebase to create tailored sequence databases for target-decoy searches directly at the proteome level, enabling metaproteomic analyses without prior expectation of sample composition or metagenomic data generation and compatible with standard downstream analysis pipelines.…”