Feature selection convergence time comparison of various binary metaheuristic algorithms. حسب Amal H. Alharbi (21755906)

a) Accuracy and b) selected feature size of algorithms on the COVID-19 dataset. حسب Nebojsa Bacanin (13932723)

Characteristics of the data sets used to evaluate Machine Learning and Deep Learning models for arboviral diseases classification. حسب Sebastião Rogério da Silva Neto (11944944)

الموضوعات:

Histograms of various water quality parameters, including pH, Hardness, Solids, Chloramines, Sulfate, Organic Carbon, Trihalomethanes, Turbidity, and a binary portability check. حسب Amal H. Alharbi (21755906)

Proposed Algorithm. حسب Hend Bayoumi (22693738)

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

Classification performance after optimization. حسب Amal H. Alharbi (21755906)

"…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …"

Summary of all non-clinical data (laboratory and others) presented in the data set used by the primary studies. حسب Sebastião Rogério da Silva Neto (11944944)

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Models used in the works divided by the main problems. حسب Sebastião Rogério da Silva Neto (11944944)

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Study selection. حسب Sebastião Rogério da Silva Neto (11944944)

الموضوعات:

Summary of all demographic, epidemiological and clinical data presented in data set used by the primary studies. حسب Sebastião Rogério da Silva Neto (11944944)

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Distribution of samples per classes. حسب Sebastião Rogério da Silva Neto (11944944)

الموضوعات:

Overview of the primary studies. حسب Sebastião Rogério da Silva Neto (11944944)

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Metrics used to evaluate the models proposed in the literature. حسب Sebastião Rogério da Silva Neto (11944944)

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Attributes found in the data sets. حسب Sebastião Rogério da Silva Neto (11944944)

الموضوعات:

Classification performance of ML and DL models. حسب Amal H. Alharbi (21755906)

"…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …"

Comparisons between ADAM and NADAM optimizers. حسب Hend Bayoumi (22693738)

Comparison between Bisection and Newton-Raphson in terms of (A) total time consumed, and (B) maximum computation rate. حسب Hend Bayoumi (22693738)

Optimization of tracking parameters based on <i>P</i>_<i>swap</i>. حسب Benjamin Gallois (10131683)

Comparisons of computation rate performance for different offloading algorithms.for N = 10, 20, 30. حسب Hend Bayoumi (22693738)