Comparison curve of objective function (J). حسب Wanjun Zhang (496858)

Spatial patterns of the CAPs estimated from both splits are reproducible and strongly correlated with at least one of the basis CAPs. حسب Kangjoo Lee (11648345)

ddPCR mtDNA amplicon concentration as a function of distance. حسب Patrick Kurtz (21772385)

Python code for a rule-based NLP model for mapping circular economy indicators to SDGs حسب Zahir Barahmand (18008947)

"…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…"

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. …"

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms حسب Saadiallakh Normatov (20682324)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms حسب Saadiallakh Normatov (20682324)

Construction of the PRG score index using integrated machine learning algorithms. حسب Xiangxin Wu (22320058)

Flow chart diagram of quantum hash function. 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. …"

Siou loss function calculation diagram. حسب Weiyu Han (3448742)

Supervised Predictive Modeling of High-dimensional Data with Group l0-norm Constrained Neural Networks حسب Zhihuang Yang (22530437)

"…Moreover, two iterative greedy selection algorithms, which iterate between a standard gradient descent step and a hard thresholding step with or without debiasing, are presented to implement the computation. …"

ClaritySpectra: Raman spectra analysis tool حسب Aaron Celestian (9395696)

Trainable parameters for different algorithms. حسب Anwar Hossain Efat (19942283)

Supplementary file 1_Hamiltonian formulations of centroid-based clustering.pdf حسب Myeonghwan Seong (21159605)

"…However, defining similarity is often ambiguous, making it challenging to determine the most appropriate objective function for a given dataset. Traditional clustering methods, such as the k-means algorithm and weighted maximum k-cut, focus on specific objectives—typically relying on average or pairwise characteristics of the data—leading to performance that is highly data-dependent. …"

CEC2022 and CEC2017 benchmark functions. حسب Chengcheng Ding (9013862)

Flowchart of simple ant colony algorithm. حسب Yang Yu (4292)

"…This algorithm provides both a primary routing path and an alternate routing path for service transmission, ensuring the delivery of high-priority services even when both the primary and standby paths are unavailable. …"

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. …"

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

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. حسب Yuanchen Zhao (12905580)

"…The reaction network is assumed to form a linear degradation chain 1 → 2 → ⋯ → <i>N</i> with the end-product concentration (metabolite <i>N</i>, orange) taken as the function of interest (shown with <i>N</i> = 3 as an example). …"

Streamfunction calculated by QA with different with different grid resolutions Streamfunction averaged over 10 runs from QA (shading) and the “true” solution (black contour lines)... حسب Takuro Matsuta (21608505)

الموضوعات: "…currently available algorithms…"