The Pseudo-Code of the IRBMO Algorithm. حسب Chenyi Zhu (9383370)

"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"

code&data حسب Liyuan Liu (18298084)

"…The study identified outdoor sports facilities in Shanghai using advanced deep-learning techniques on remote sensing data. It then developed a greedy heuristic algorithm based on the Gaussian Two-Step Floating Catchment Area method and Gini coefficient analysis for evaluating and optimizing facility accessibility and fairness. …"

Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. حسب Júlia Bijos (14489543)

"…</p><p dir="ltr"><b>Antibioticos/Carbamazepina</b>: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.…"

Comparison of federated learning algorithms. حسب Duy-Dong Le (22057362)

Data and code resources. حسب Sam Hall-McMaster (10343795)

الموضوعات:

File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. حسب Lulu Pan (8977979)

الموضوعات:

TreeMap 2016 Stand Size Code Algorithm (Image Service) حسب U.S. Forest Service (17476914)

"…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …"

Parameters of ML algorithms. حسب Md. Maeen Molla (20827041)

Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" حسب Yifei Gu (9507104)

"…</p><p dir="ltr">Firstly, a Python package HSC3D, was developed to quantify habitat structural complexity (HSC) at the community level. Built with machine learning algorithms and novel, scale-invariant metrics, this package provides more precise, scale-invariant representations of HSC than traditional approaches, which can be applied to a variety of habitats in different ecosystems. …"

Performance analysis of 500kW solar PV plant based on machine learning algorithms حسب Karthikeyan Balachandran (20410999)

"…Kernel Ridge Regression (KRR) demonstrated superior performance among the algorithms tested, producing results closely aligned with the actual data. …"

Scripts for GC, CRC, and IBD in Python and R حسب Animesh Acharjee (6400427)

الموضوعات:

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks حسب Balázs Mészáros (16890225)

"…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…"

G R code algorithm. حسب R. Sakthivel (2589547)

"…The algorithm was developed and coded in Verilog and simulated using Modelsim. …"

HaPy-Bug - Bug localization learning to rank algorithm results حسب Piotr Przymus (14564009)

Code and data. حسب Shangyang Jin (21772466)

Code used for data analysis in this study. حسب Nourin Sultana (22339463)

الموضوعات:

Maple code for algorithm 3. حسب Peter Thompson (165468)

Figure 2 from DeePathNet: A Transformer-Based Deep Learning Model Integrating Multiomic Data with Cancer Pathways حسب Zhaoxiang Cai (20445441)

Heuristic approaches for configuring network alignment algorithms. حسب Giuseppe Agapito (104634)

الموضوعات:

Screening of palmitoylation genes based on machine learning algorithms. حسب Qijun Wo (12992781)

الموضوعات: