Network simulation of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

Simulation parameters of SDN network. by Nanavath Kiran Singh Nayak (22184565)

Simulation parameters of DDcGAN. by Nanavath Kiran Singh Nayak (22184565)

Calibration curves for the test set of four models. by Meng Cao (105914)

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ROC curves for the test set of four models. by Meng Cao (105914)

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Performance metrics of the models on the training and test set. by Meng Cao (105914)

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Simulation results. by Zhen Wang (72451)

<i>hi</i>PRS algorithm process flow. by Michela C. Massi (14599915)

Active sonar echo simulation. by Zhen Wang (72451)

BenchmarkDataNLP.jl.zip by Alexander V. Mantzaris (21376517)

SHAP bar plot. by Meng Cao (105914)

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Display of the web prediction interface. by Meng Cao (105914)

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Sample screening flowchart. by Meng Cao (105914)

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Descriptive statistics for variables. by Meng Cao (105914)

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SHAP summary plot. by Meng Cao (105914)

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Research in the Field of Medical Informatics at the ZMI, Dresden, Germany - JOIN US by Markus Wolfien (3203601)

Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. by Ramsés Noguez Imm (6658637)

Reinforcement Learning for Autonomous Process Control in Industry 4.0: Advantages and Challenges by Nuria Nievas (19331156)

“…<p>In recent years, the integration of intelligent industrial process monitoring, quality prediction, and predictive maintenance solutions has garnered significant attention, driven by rapid advancements in digitalization, data analytics, and machine learning. …”

Data_Sheet_1_Model Reduction Captures Stochastic Gamma Oscillations on Low-Dimensional Manifolds.PDF by Yuhang Cai (11280414)

DataSheet1_Optimal capacity configuration of the wind-storage combined frequency regulation system considering secondary frequency drop.docx by Dongdong Li (123985)