Schematic diagram of LSTM. حسب Nan Xu (107466)

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Schematic diagram of GRU model structure. حسب Nan Xu (107466)

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Schematic diagram of overall framework of HCRNN model. حسب Nan Xu (107466)

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Features selection using the Boruta algorithm. حسب Nishat Tasnim Thity (21755858)

"…The ML framework for multi-class classification study can reveal significant risk factors and predict this behavioral addiction more precisely. …"

The experimental results of all the involved algorithms on the bacteria datasets 1. حسب Jia Liu (41593)

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The experimental results of all the involved algorithms on the bacteria datasets 2. حسب Jia Liu (41593)

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pdig.0000602.t003 - Machine learning approaches in non-contact autofluorescence spectrum classification حسب Ashutosh P. Raman (19825936)

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Symptom classification by fuzzy membership ranges (poor, average, and good). حسب Sulav Baral (22477755)

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Final pneumonia severity classification based on rule-based scoring. حسب Sulav Baral (22477755)

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Comparative overview of all DL and ML algorithms parameters in used in this study. حسب Khandaker Mohammad Mohi Uddin (13124356)

Classification of Mainstream Methods. حسب Ye Tian (220278)

Classification performances of Ensemble, SVM, and kNN algorithms. For each performance metric, the mean value across all runs and standard deviation of the mean value is reported i... حسب Ayşenur Eser (21713911)

The experimental results (Mean) of all the involved algorithms on six public datasets. حسب Jia Liu (41593)

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The experimental results (Max) of all the involved algorithms on six public datasets. حسب Jia Liu (41593)

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Fuzzy logic-based pneumonia severity classification using membership contribution. حسب Sulav Baral (22477755)

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Raw data classification data table (in cm). حسب Jihong Sun (344786)

Dataset Link - An efficient cyber-attack detection and classification in IoT networks with high-dimensional feature set using Levenberg-Marquardt optimized feedforward neural netwo... حسب Quxi Kuang (22493270)

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

"…To address this, the research integrates a modified A* pathfinding algorithm with a U-Net convolutional neural network, a custom statistical binary classification method, and a personalized Min-Max connectivity threshold to automate the detection of astrocyte connectivity.…"

The optimized workflow of the proposed SwinFishNet methodology for high-precision FSC across diverse image datasets: حسب Ebru Ergün (21395498)

Custom UNET and UNET-GRU performance metrics for burnt area classification using Bandipur PlanetScope data. حسب Sai Balakavi (21728626)

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