Algorithm pseudocode. by Cheng-jie Chen (22272090)

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Filtered Labels after applying the data preparation algorithms. by Tanjim Taharat Aurpa (11250554)

Data Sheet 1_Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model.docx by Pan Zhang (206408)

“…Considering the increased detection range of EDARM and the requirements for computational efficiency, this paper presents a 2.5-dimensional (2.5D) finite element method (FEM). By leveraging the symmetry of simulated signals in the spectral domain, the algorithm reduces computation time by 50%, significantly enhancing computational efficiency while preserving accuracy. …”

A data processing scheme for spatially explicit soil spectral calibration. by José L. Safanelli (20552654)

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

Accuracy verification of big data diagnosis and early warning algorithm. by Hao-yang Li (17815508)

Process based on WOA-LSTM-PID model. by Dayu Zhang (710629)

Flowchart illustrating the study workflow, outlining data collection, filtering, processing, and analysis. by Fang Zhang (197215)

The contrast curve of the algorithm convergence characteristics. by Zhengyu Xu (8550660)

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Particle swarm optimization algorithm flowchart. by Zhengyu Xu (8550660)

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DataSheet1_Applying neural network algorithms to ascertain reported experiences of violence in routine mental healthcare records and distributions of reports by diagnosis.pdf by Ava J. C. Mason (19571008)

Image processing steps applied in our research. by Md Junayed Hossain (22615268)

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Classical Predictive Coding for motion processing. by Elnaz Nemati (21402730)

GenSearch algorithm. by Tarun Khajuria (12117309)

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Single Batch Processing Machine Scheduling with Release Dates and Time Windows for Autoclave Molding by Anonymous authors (for blind review purpose) (11882042)

S1 File - Enhanced audience sentiment analysis in IoT-integrated metaverse media communication by Hongtao Wang (570131)

Influence of hyperparameters on experimental results in IST algorithm. by Ke Zhang (115386)

Hyperparameter and model configurations. by Hongtao Wang (570131)

“…The five interconnected modules constituting the architecture include (i) multi-source data collection using RESTful APIs; (ii) weighted preprocessing pipelines using tokenization, lemmatization, and normalization; (iii) Adam algorithm-optimized model training and cross-entropy loss minimization-based training; (iv) adaptive real-time processing using dynamic window segmentation; and (v) an ongoing refinement loop using continuous user inputs, triggered by a feedback mechanism. …”

Performance in best and worst case scenarios. by Hongtao Wang (570131)

“…The five interconnected modules constituting the architecture include (i) multi-source data collection using RESTful APIs; (ii) weighted preprocessing pipelines using tokenization, lemmatization, and normalization; (iii) Adam algorithm-optimized model training and cross-entropy loss minimization-based training; (iv) adaptive real-time processing using dynamic window segmentation; and (v) an ongoing refinement loop using continuous user inputs, triggered by a feedback mechanism. …”

Datasets and experimental settings. by Hongtao Wang (570131)

“…The five interconnected modules constituting the architecture include (i) multi-source data collection using RESTful APIs; (ii) weighted preprocessing pipelines using tokenization, lemmatization, and normalization; (iii) Adam algorithm-optimized model training and cross-entropy loss minimization-based training; (iv) adaptive real-time processing using dynamic window segmentation; and (v) an ongoing refinement loop using continuous user inputs, triggered by a feedback mechanism. …”