MAPR of GPT compared with optimal algorithm. حسب Ali Abir Shuvro (21982871)

"…<div><p>Large language models have revolutionized the field of natural language processing and are now becoming a one-stop solution to various tasks. …"

Errors from the LLM and simulated algorithms. حسب Ali Abir Shuvro (21982871)

"…<div><p>Large language models have revolutionized the field of natural language processing and are now becoming a one-stop solution to various tasks. …"

<b>Correction of the Code, Data and Figure files for Figure 3 of "Quantum-enhanced simulated annealing using Rydberg atoms"</b> حسب Seokho Jeong (20596511)

Comparison of training results before and after improvement of LSTM-AE algorithm. حسب Hao Cao (2248066)

الموضوعات:

Comparison of test errors before and after improvement of LSTM-AE algorithm. حسب Hao Cao (2248066)

الموضوعات:

Feature Importance Analysis of the Algorithms expressed by SHAP indices. حسب M. A. Habib (16839161)

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Statistical analysis of the prediction results from the ML algorithms. حسب M. A. Habib (16839161)

الموضوعات:

Benchmark data and code for evaluating and enhancing spatial cognition abilities of large language models (LLMs) حسب Yang (16534473)

Data processing for multi-sensor synchronization. حسب Kathylee Pinnock Branford (18291038)

"…</b> All processed sensor data for the day is combined into a single dataset, <b>viii.…"

Evaluating and mapping spatial drought in northeast Thailand: utilizing analytic hierarchy process and random forest algorithms حسب Zahid Naeem Qaisrani (21567311)

"…The AHP model achieved an overall accuracy (OA) of 85.19%, aligning closely with the RF model, which had an OA of 88.89%. The RF algorithm effectively mapped spatial drought events with high accuracy, as confirmed by comparisons with rainfall data. …"

Temperature sensor 2 sample data and data curve after noise reduction. حسب Tang Ruipeng (20141334)

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Temperature sensor 1 sample data and data curve after noise reduction. حسب Tang Ruipeng (20141334)

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Temperature sensor 3 sample data and data curve after noise reduction. حسب Tang Ruipeng (20141334)

الموضوعات:

Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. حسب Abeer Aljohani (18497914)

الموضوعات:

Accuracy of the Random forest algorithm for different values of test samples and different choice window indexes. حسب Abeer Aljohani (18497914)

الموضوعات:

Comparison between pyAKI’s generated labels and the labels generated by the MIMIC-code implementation of the KDIGO criteria. حسب Christian Porschen (12967868)

Details of multiple GWO algorithm variants. حسب Genliang Li (5816264)

الموضوعات:

Performance of different machine learning algorithms. حسب Apichat Suratanee (634281)

Proposed hybrid GA- ML algorithms. حسب Ankur Kumar (1357440)

الموضوعات:

Proposed GA-ML algorithms pseudocode. حسب Ankur Kumar (1357440)

الموضوعات: