Supplementary file 1_Optimising the selection of welfare indicators in farm animals.docx حسب Jon Day (19128586)

"…Optimisation was performed using both a greedy algorithm and an enhanced algorithm incorporating backtracking and branch-and-bound solvers. …"

Supplementary file 4_Optimising the selection of welfare indicators in farm animals.docx حسب Jon Day (19128586)

"…Optimisation was performed using both a greedy algorithm and an enhanced algorithm incorporating backtracking and branch-and-bound solvers. …"

Supplementary file 5_Optimising the selection of welfare indicators in farm animals.docx حسب Jon Day (19128586)

"…Optimisation was performed using both a greedy algorithm and an enhanced algorithm incorporating backtracking and branch-and-bound solvers. …"

Active Control of Laminar and Turbulent Flows Using Adjoint-Based Machine Learning حسب Xuemin Liu (20372739)

"…This dissertation extends and applies an adjoint-based machine learning method, the deep learning PDE augmentation method (DPM), for closed-loop active control on both laminar and turbulent flows. The end-to-end sensitivities for optimization are computed using adjoints of the governing equations without restriction on the terms that may appear in the objective function, which we construct using algorithmic differentiation applied to the flow solver. …"

<b>Assessing human and environmental impacts on forest coverage in historical relic sites using XGBoost</b> حسب Jinlong Chen (20554607)

"…It iteratively adds decision trees to optimize an objective function comprising a loss function for measuring prediction errors and a regularization term to control model complexity. …"

Source_Code_With_Help.rar حسب Zisong Wang (19838553)

"…<p dir="ltr">In the proposed framework, the Elite Preservation Strategy Chimp Optimization Algorithm (EPSCHOA) is embedded for the improving function and hyperparameter tuning of a Long Short-Term Memory (LSTM) model. …"

Conditional probability tensor decompositions for multivariate categorical response regression حسب Aaron J. Molstad (5243561)

"…We demonstrate the encouraging performance of our method through both simulation studies and an application to modeling the functional classes of genes.…"

Spatiotemporal Soil Erosion Dataset for the Yarlung Tsangpo River Basin (1990–2100) حسب peng xin (21382394)

"…Additionally, a Genetic Algorithm (GA) was applied in each iteration to optimize the hyperparameters of the XGBoost model, which is crucial for enhancing both the efficiency and robustness of the model (Zhong and Liu, 2024; Zou et al., 2024). …"

Software: Learning zero-cost portfolio selection with pattern matching حسب Tim Gebbie (8064947)

"…</p><p dir="ltr">Key function is a class: pattern.m (pattern/pattern)</p><p dir="ltr">PATTERN Pattern matching and learning class </p><p dir="ltr">The class implements both online and offline pattern matching and learning over k-tuples for M objects and N features as specified in an MxNxP data matrix X. …"

Variational Estimation for Multidimensional Graded Response Model حسب Qian-Zhen Zheng (22439680)

"…Simulation studies show that our GVEM and IW-GVEM run significantly faster than the MH-RM algorithm and are of competitiveness in both confirmatory and exploratory analysis. …"

Landscape17 حسب Vlad Carare (22092515)

"…This dataset features global potential energy surface representations generated using the energy landscape framework and includes regions crucial for accurately reproducing both thermodynamic and kinetic properties. For each of the selected six molecules (ethanol, malonaldehyde, paracetamol, salicylic acid, azobenzene, and aspirin) we provide all the minima and transition states, along with configurations from the two approximate steepest-descent paths connecting each transition state to the corresponding minima, computed using hybrid-level density functional theory. …"

Sample size determination for multidimensional parameters and the A-optimal subsampling in a big data linear regression model حسب Sheng Zhang (111330)

"…<p>To efficiently approximate the least squares estimator (LSE) in a Big Data linear regression model using a subsampling approach, optimal sampling distributions were derived by minimizing the trace norm of the covariance matrix of a smooth function of the subsampling LSE. An algorithm was developed that significantly reduces the computation time for the subsampling LSE compared to the full-sample LSE. …"

Table 1_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx حسب Francesco Chiani (2661328)

"…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"

Table 2_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx حسب Francesco Chiani (2661328)

"…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"

Table 3_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.xlsx حسب Francesco Chiani (2661328)

"…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"

Table 4_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx حسب Francesco Chiani (2661328)

"…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"

Table 2_In-depth immunochemical characterization of the serum antibody response using a dual-titration microspot assay.xlsx حسب Ágnes Kovács (3252267)

"…Both titration curves were simultaneously fitted using an algorithm based on the generalized logistic function and adapted for analyzing biochemical variables of binding. …"

Data Sheet 2_In-depth immunochemical characterization of the serum antibody response using a dual-titration microspot assay.pdf حسب Ágnes Kovács (3252267)

"…Both titration curves were simultaneously fitted using an algorithm based on the generalized logistic function and adapted for analyzing biochemical variables of binding. …"

Data Sheet 1_In-depth immunochemical characterization of the serum antibody response using a dual-titration microspot assay.pdf حسب Ágnes Kovács (3252267)

"…Both titration curves were simultaneously fitted using an algorithm based on the generalized logistic function and adapted for analyzing biochemical variables of binding. …"

Table 1_In-depth immunochemical characterization of the serum antibody response using a dual-titration microspot assay.xlsx حسب Ágnes Kovács (3252267)

"…Both titration curves were simultaneously fitted using an algorithm based on the generalized logistic function and adapted for analyzing biochemical variables of binding. …"