Search alternatives:
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
flow function » from function (Expand Search), low functional (Expand Search), loss function (Expand Search)
both function » body function (Expand Search), growth function (Expand Search), beach function (Expand Search)
algorithm npc » algorithm etc (Expand Search), algorithm pca (Expand Search), algorithm _ (Expand Search)
npc function » spc function (Expand Search), gpcr function (Expand Search), fc function (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
flow function » from function (Expand Search), low functional (Expand Search), loss function (Expand Search)
both function » body function (Expand Search), growth function (Expand Search), beach function (Expand Search)
algorithm npc » algorithm etc (Expand Search), algorithm pca (Expand Search), algorithm _ (Expand Search)
npc function » spc function (Expand Search), gpcr function (Expand Search), fc function (Expand Search)
-
1
Prediction performance of different optimization algorithms.
Published 2021“…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …”
-
2
Flow chart diagram of blind quantum algorithm.
Published 2024“…Our study addresses five major components of the quantum method to overcome these challenges: lattice-based cryptography, fully homomorphic algorithms, quantum key distribution, quantum hash functions, and blind quantum algorithms. …”
-
3
Comparison of deconvolution and optimization algorithms on a batch of data.
Published 2021“…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …”
-
4
Flow chart diagram of quantum hash function.
Published 2024“…Our study addresses five major components of the quantum method to overcome these challenges: lattice-based cryptography, fully homomorphic algorithms, quantum key distribution, quantum hash functions, and blind quantum algorithms. …”
-
5
Completion times for different algorithms.
Published 2025“…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”
-
6
The average cumulative reward of algorithms.
Published 2025“…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”
-
7
Simulation settings of rMAPPO algorithm.
Published 2025“…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”
-
8
Model intrinsic parameter flow.
Published 2025“…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”
-
9
Flow chart of the PSOGSA scenario.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
-
10
Machine learning algorithm parameters.
Published 2023“…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …”
-
11
The flow chart of the proposed PSOGSAHO scenario.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
-
12
-
13
-
14
Algorithmic flow of the verifiable delay function.
Published 2024“…<p>Algorithmic flow of the verifiable delay function.</p>…”
-
15
-
16
-
17
Codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB"
Published 2023“…<p>The JAVA codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" are provided. …”
-
18
-
19
Control flow graph representations for two variants of Flash-X's Spark algorithms
Published 2023“…Spark’s numerical algorithms are represented in orange, which are subgraphs of control flow consisting of multiple nodes, and these subgraphs are reused in both variants. …”
-
20