Optimizer power output response against thirteen non-convex machines. by Ijaz Ahmed (1545961)

Optimizer fitness level response against six non-convex machines. by Ijaz Ahmed (1545961)

Optimizer fitness level response against forty non-convex machines. by Ijaz Ahmed (1545961)

Optimizer fitness level response against thirteen non-convex machines. by Ijaz Ahmed (1545961)

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

Subjects:

Comparative analysis of algorithms. by Xumin Zhao (18261643)

“…Notably, the LIRU algorithm registers a 5% increment in one-hop hit ratio relative to the LFU algorithm, a 66% enhancement over the LRU algorithm, and a 14% elevation in system hit ratio against the LRU algorithm. …”

Similarity between the hierarchical community structure of structural and functional brain graphs. by Arian Ashourvan (6685232)

Predicted power spectral density of fluorescence under the influence of molecular binding kinetics for system with 1 nM and 100 nM of ssDNA against temperature. by Nicholas H. Vitale (20469289)

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

Subjects:

Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

Function testing and iterative variation diagram. by Yun Qi (560401)

Cryptographic hash function. by Evans Osei Kofi (15285194)

Evolution of objective function. by Serdar Ekinci (15927455)

“…Comparative assessments against existing optimization algorithms and recent techniques confirm QWGBO’s superior performance. …”

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

Flowchart of improved FOX optimization algorithm. by Mahmood A. Jumaah (22272371)

“…Additionally, it achieved 880 wins, 228 ties, and 348 losses against 16 optimization algorithms across all involved functions and problems. …”

Observed adjusted Rand index for one-replicate simulations (with AR(1), <i>ρ</i> = 0.5, <i>σ</i>² = 0.1) against the number of clusters <i>K</i> = 3, 6, 9, 12 (on the ho... by Susana Conde (5495675)

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

“…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …”

RMSE results. by YueSheng Jiang (19267984)

“…To overcome these limitations, this paper developed a simple and fast adaptive remote sensing image Spatio-Temporal fusion method based on Fit-FC, called Adapt Lasso-Fit-FC (AL-FF). Firstly, the sparse characteristics of time phase change between images are explored, and a time phase change estimation model based on sparse regression is constructed, which overcomes the fuzzy problem of fusion image caused by the failure of linear regression to capture complex nonlinear time phase transition in the weighted Function method, making the algorithm better at capturing details. …”

Results of the Kherson Area Visual Assessment. by YueSheng Jiang (19267984)

“…To overcome these limitations, this paper developed a simple and fast adaptive remote sensing image Spatio-Temporal fusion method based on Fit-FC, called Adapt Lasso-Fit-FC (AL-FF). Firstly, the sparse characteristics of time phase change between images are explored, and a time phase change estimation model based on sparse regression is constructed, which overcomes the fuzzy problem of fusion image caused by the failure of linear regression to capture complex nonlinear time phase transition in the weighted Function method, making the algorithm better at capturing details. …”