Diagram of the proposed solution algorithm. حسب Vytautas Abromavičius (22008573)

<b>Algorithm Pseudocode</b> حسب Yibin Zhao (22425801)

Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. حسب Gabriel Matías Lorenz (21094672)

EITO_<i>P</i> with a variable trip time. حسب Yunhu Huang (21402795)

"…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …"

Functions in nhppp. حسب Thomas A. Trikalinos (5785877)

"…We developed it to facilitate the sampling of event times in discrete event and statistical simulations. 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. …"

The profile log-likelihood of data simulated from four distinct MA(1) models, demonstrating a few examples of multimodal likelihood surfaces. حسب Jesse Wheeler (18462457)

Elementary effects (EE) results for chorionic vessel generation employing the input parameter ranges from Table 1. حسب Diana C. de Oliveira (9220729)

Machine learning analysis of 10 hub genes related to SCI was performed using eight algorithms applied to the dataset. حسب Tianbao Feng (21722233)

Metapopulation model notation. حسب Jeffrey Keithley (14626551)

"…We provide a theoretical explanation for this effectiveness by showing that the approximation factor (a measure of how well the algorithmic output for a problem instance compares to its theoretical optimum) of these algorithms depends on the <i>submodularity ratio</i> of the objective function <i>g</i>. …"

Estimates of for each problem instance. حسب Jeffrey Keithley (14626551)

"…We provide a theoretical explanation for this effectiveness by showing that the approximation factor (a measure of how well the algorithmic output for a problem instance compares to its theoretical optimum) of these algorithms depends on the <i>submodularity ratio</i> of the objective function <i>g</i>. …"

Approximation factors for each problem instance. حسب Jeffrey Keithley (14626551)

"…We provide a theoretical explanation for this effectiveness by showing that the approximation factor (a measure of how well the algorithmic output for a problem instance compares to its theoretical optimum) of these algorithms depends on the <i>submodularity ratio</i> of the objective function <i>g</i>. …"

MODeM 2023 TC NC-A حسب Anonymized (8222226)

Attack and defense behaviors with the sensory–motor algorithm between multiple predators and prey. حسب Hiroyuki Ichijo (13891153)

Elementary effects (EE) results for the generation of villous vessels within a placentone employing the input parameter ranges from Table 1. حسب Diana C. de Oliveira (9220729)

The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

"…<div><p>In this paper, we study a class of non-parametric regression models for predicting graph signals as a function of explanatory variables . Recently, Kernel Graph Regression (KGR) and Gaussian Processes over Graph (GPoG) have emerged as promising techniques for this task. …"

Effectiveness of RWOA and other SOTA algorithms. حسب Junhao Wei (6816803)

"…<div><p>Whale Optimization Algorithm (WOA) is a biologically inspired metaheuristic algorithm with a simple structure and ease of implementation. …"

Visual comparison of the resulting tractograms. From top to bottom line: iFOD2, PTT, iFOD2 with prior, PTT with prior, iFOD2 with BST priors and PTT with BST priors. حسب Thomas Durantel (20933812)

Greedy Man Optimization Algorithm (GMOA) حسب Hamed Nozari (20601020)

"…By balancing exploration and exploitation dynamically, GMOA effectively navigates complex, multimodal search spaces, making it highly robust against local optima. This algorithm has been successfully applied to various benchmark functions and can handle constrained and unconstrained optimization problems. …"

Pathway activity and single-cell level functional states of CEDGs in cancer. حسب Yuxi Gu (11386081)

Observed adjusted Rand index x100 between the methods for the partitions found setting <i>K</i> = 10 clusters in the data set with mean gene expressions spread in one day. حسب Susana Conde (5495675)

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