Workflow of algorithm for whole brain flow simulation. حسب Erlend Hodneland (391541)

Local topological scales of hierarchical community organization in structural and functional brain graphs. حسب Arian Ashourvan (6685232)

Multi-scale detection of hierarchical community architecture in structural and functional brain networks حسب Arian Ashourvan (6685232)

"…<div><p>Community detection algorithms have been widely used to study the organization of complex networks like the brain. …"

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

Parameters to configure the multi-staged vascularization using the PDCCO algorithm. حسب Eduardo G. Zilves (22209247)

Data preprocessing flow-chart. حسب Anant Shinde (3954662)

الموضوعات:

BCI architecture. حسب Stefan K. Ehrlich (6475490)

الموضوعات:

Granger-causal information flows during task →happy in session S02 jointly computed for P01, P04, P05 (participants with good modulation performance). حسب Stefan K. Ehrlich (6475490)

الموضوعات:

Flow chart diagram of blind quantum algorithm. حسب Sultan H. Almotiri (14029251)

"…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. …"

Prediction performance of different optimization algorithms. حسب Ali-Kemal Aydin (10968731)

"…<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). …"

Application of the algorithm to unseen data. Presynaptic neurons labelled by rabies viral injection into layer 2/3 primary visual cortex in Penk-Cre mice. حسب Adam L. Tyson (10892822)

الموضوعات:

Comparison of deconvolution and optimization algorithms on a batch of data. حسب Ali-Kemal Aydin (10968731)

"…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). …"

Completion times for different algorithms. حسب Jianbin Zheng (587000)

"…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. …"

The average cumulative reward of algorithms. حسب Jianbin Zheng (587000)

"…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. …"

Machine learning algorithm parameters. حسب Namal Rathnayake (15361124)

"…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). …"

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. حسب Borjan Milinkovic (21349908)

Simulation settings of rMAPPO algorithm. حسب Jianbin Zheng (587000)

"…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. …"

Algorithmic flow of the verifiable delay function. حسب Xinhao Zheng (16637664)

"…<p>Algorithmic flow of the verifiable delay function.</p>…"

Similarity between the allegiance matrices of the multiplex SC-FC graph, the FC graph alone, and the SC graph alone, as a function of the topological scale for the group. حسب Arian Ashourvan (6685232)

Model intrinsic parameter flow. حسب Dawei Wang (471687)

"…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. …"