Subset lattice for BNs with four nodes . حسب Nand Sharma (21519845)

الموضوعات:

Subset lattices with parent set constraints and best sinks identified by CausNet-partial as an example. حسب Nand Sharma (21519845)

الموضوعات:

The flow of the SP-DRL algorithm. حسب Jie Fang (306330)

"…Inspired by deep learning and reinforcement learning, combined with the characteristics of rectangular piece packing, a novel algorithm based on deep reinforcement learning is proposed in this work to solve the rectangular strip packing problem. …"

Cuff-less Blood Pressure Measurement based on Four-wavelength PPG Signals حسب Liang yongbo (4822017)

"…<p dir="ltr">Cuff-less Blood Pressure Measurement based on Four-wavelength PPG Signals</p><p dir="ltr">This dataset was collected primarily to explore the role of PPG signals with different wavelengths in the prediction of cuffless blood pressure. …"

Performance comparison of four optimization methods. حسب Xuexing Du (20624042)

Iterative Registration and Clustering (IREC) Algorithm: The input image stack (<i>S</i>) is first aligned and grouped using registration and clustering (REC) based on an initial re... حسب Creighton M. Lisowski (22756444)

An Example of a WPT-MEC Network. حسب Hend Bayoumi (22693738)

"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"

Related Work Summary. حسب Hend Bayoumi (22693738)

"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"

Simulation parameters. حسب Hend Bayoumi (22693738)

"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"

Training losses for N = 10. حسب Hend Bayoumi (22693738)

"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"

Normalized computation rate for N = 10. حسب Hend Bayoumi (22693738)

"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"

Summary of Notations Used in this paper. حسب Hend Bayoumi (22693738)

"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"

Wrapper-based feature selection methods. حسب Xiaohua Zeng (793632)

Flowchart scheme of the ML-based model. حسب Noshaba Qasmi (20405009)

Composition of the Arboviruses data sets. حسب Leonides Medeiros Neto (10429179)

"…The goal of this work is to compare the performance of converters for tabular data into images, select the best one, optimize a CNN using random search, and compare it with an optimized ML algorithm, the XGBoost. …"

Example of a summary table. حسب Leonides Medeiros Neto (10429179)

"…The goal of this work is to compare the performance of converters for tabular data into images, select the best one, optimize a CNN using random search, and compare it with an optimized ML algorithm, the XGBoost. …"

Experiment methodology. حسب Leonides Medeiros Neto (10429179)

"…The goal of this work is to compare the performance of converters for tabular data into images, select the best one, optimize a CNN using random search, and compare it with an optimized ML algorithm, the XGBoost. …"

The process of conversion of the DeepInsight. حسب Leonides Medeiros Neto (10429179)

"…The goal of this work is to compare the performance of converters for tabular data into images, select the best one, optimize a CNN using random search, and compare it with an optimized ML algorithm, the XGBoost. …"

The CQA process. حسب Leonides Medeiros Neto (10429179)

"…The goal of this work is to compare the performance of converters for tabular data into images, select the best one, optimize a CNN using random search, and compare it with an optimized ML algorithm, the XGBoost. …"

Pseudo Code of RBMO. 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. …"