Experimental parameter combinations. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

Experimental results. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

Data sources for figures and tables. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

Fault events. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

Dataset for "Self-Supporting Shell Lattices: Explicit Design Method and Neural Accelerated Evolutionary Optimization" (Virtual and Physical Prototyping) حسب Haoran Hu (22579169)

Accuracy of WTA and generalized WTA in the present/absent task and repetition impact on WTA. حسب Ori Hendler (21262937)

In vitro and in vivo DMS structure probing of ModT isoforms. حسب Tina Lenče (20428084)

A structure determination protocol based on combined analysis of 3D-ED data, powder XRD data, solid-state NMR data and DFT-D calculations reveals the structure of a new polymorph o... حسب Christopher Smalley (19655662)

Role of stimulus parameters. حسب Jiamu Jiang (19959616)

code from Skelly, Graham, et al. "Mapping the genetic landscape establishing a tumor immune microenvironment favorable for anti-PD-1 response in mice and humans." حسب Dan Skelly (1377957)

"…For the MC38 colorectal carcinoma system, we mapped four significant ICI response quantitative trait loci (QTL) that had significant epistatic interactions. Our analytical algorithm uncovered a core network of 48 genes within the four QTLs that were significantly prognostic for overall survival in aPD1 treated human cohorts outperforming other validated immunotherapy biomarkers. …"

4sU-seq Signal at Putative Enhancers in Day 3 and 4 ADE Populations. حسب Jurriaan Jochem Hölzenspies (20642889)

TNP-TMA BC biomarker panels. حسب Robert T. Heussner (21989911)

"…Existing computational methods overlook both cell population heterogeneity across modalities and spatial information, which are critical for effectively completing this task. …"

A protein-protein interaction (PPI) map of the paclitaxel associated DRG proteome. حسب Rania Hanna (18830411)

Executable Power: Syntax as Infrastructure in Predictive Societies حسب Agustin V. Startari (21179732)

Optimization framework. حسب Nisha Ann Viswan (20371285)

"…This cost is used by the algorithm. B: Typical model decomposition into levels. …"

Hippocampal and cortical activity reflect early hyperexcitability in an Alzheimer's mouse model حسب Marina Diachenko (19739092)

"…</p><p dir="ltr">All data are available upon request. The standalone Python implementation of the fE/I algorithm is available under a CC-BY-NC-SA license at <a href="https://github.com/arthur-ervin/crosci" target="_blank">https://github.com/arthur-ervin/crosci</a>. …"

<b>A Black-winged Kite Improved Fuzzy Clustering handling Imbalanced Uncertain Data</b> حسب Hung Tran-Nam (22606433)

Gene co-expression and protein–protein interaction networks of bilaterally shared ISO-ENR DEGs. حسب Azusa Kubota (17304420)

Hardware_code. حسب Mehdi Nadiri Andabili (22097275)

"…The main goal of this field is to explore neural functionality in the brain. The studies of spiking neurons and Spiking Neural Networks (SNNs) are vital to understand how brain-inspired neural system work. …"

Software_code. حسب Mehdi Nadiri Andabili (22097275)

"…The main goal of this field is to explore neural functionality in the brain. The studies of spiking neurons and Spiking Neural Networks (SNNs) are vital to understand how brain-inspired neural system work. …"