Search alternatives:
algorithm python » algorithms within (Expand Search), algorithm both (Expand Search)
within function » fibrin function (Expand Search), protein function (Expand Search), catenin function (Expand Search)
python function » protein function (Expand Search)
algorithm etc » algorithm _ (Expand Search), algorithm b (Expand Search), algorithm a (Expand Search)
etc function » spc function (Expand Search), fc function (Expand Search), npc function (Expand Search)
algorithm python » algorithms within (Expand Search), algorithm both (Expand Search)
within function » fibrin function (Expand Search), protein function (Expand Search), catenin function (Expand Search)
python function » protein function (Expand Search)
algorithm etc » algorithm _ (Expand Search), algorithm b (Expand Search), algorithm a (Expand Search)
etc function » spc function (Expand Search), fc function (Expand Search), npc function (Expand Search)
-
261
-
262
Random clustering rates and sensitivity of clustering strategies using the CDR length criterion.
Published 2025Subjects: -
263
-
264
-
265
-
266
Functional Projection <i>K</i>-means
Published 2025“…<p>A new technique for simultaneous clustering and dimensionality reduction of functional data is proposed. The observations are projected into a low-dimensional subspace and clustered by means of a functional <i>K</i>-means. …”
-
267
-
268
Enhanced USV path planning through integrated Bi-RRT and DWA algorithms considering environmental factors
Published 2024“…Furthermore, the evaluation function of the DWA algorithm undergoes enhancements, incorporating elements from heuristic functions within the A* algorithm and radar-based assessment of search range. …”
-
269
-
270
The GA iteration result.
Published 2025“…This study proposes a hybrid model—Genetic Algorithm-optimized Fuzzy Neural Network (GA-FNN)—to enhance bank risk identification within this context. …”
-
271
GA crossover and mutation process.
Published 2025“…This study proposes a hybrid model—Genetic Algorithm-optimized Fuzzy Neural Network (GA-FNN)—to enhance bank risk identification within this context. …”
-
272
The framework for the proposed model and GA-FNN.
Published 2025“…This study proposes a hybrid model—Genetic Algorithm-optimized Fuzzy Neural Network (GA-FNN)—to enhance bank risk identification within this context. …”
-
273
The structure for the FNN.
Published 2025“…This study proposes a hybrid model—Genetic Algorithm-optimized Fuzzy Neural Network (GA-FNN)—to enhance bank risk identification within this context. …”
-
274
-
275
-
276
-
277
-
278
-
279
-
280
VEP annotation of the aSNPs listed in S1 Table.
Published 2025“…<div><p>G-quadruplexes (G4s) are nucleic acid secondary structures with important regulatory functions. Single-nucleotide variants (SNVs), one of the most common forms of genetic variation, can potentially impact the formation of G4 structures if they occur within G4 regions. …”