Proposed Algorithm. حسب Hend Bayoumi (22693738)

الموضوعات:

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

الموضوعات:

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

الموضوعات:

Comparison of total time consumed for different offloading algorithms.for N = 10, 20, 30. حسب Hend Bayoumi (22693738)

الموضوعات:

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

الموضوعات:

Related Work Summary. حسب Hend Bayoumi (22693738)

الموضوعات:

Simulation parameters. حسب Hend Bayoumi (22693738)

الموضوعات:

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

الموضوعات:

Performance Comparison of State-of-the-Art WPT-MEC Offloading Methods. حسب Hend Bayoumi (22693738)

الموضوعات:

The evolution of the Wireless Power Transfer (WPT) time fraction β over simulation frames. حسب Hend Bayoumi (22693738)

الموضوعات:

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

الموضوعات:

CDF of task latency, approximated as the inverse of the achieved computation rate. حسب Hend Bayoumi (22693738)

الموضوعات:

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

الموضوعات:

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

الموضوعات:

Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm حسب Hussein Ali Bardan (21976208)

"…This strategy </p><p dir="ltr">not only improves detection efficiency and accuracy but also supports early diagnosis and treatment planning, </p><p dir="ltr">leading to better patient outcomes. By leveraging the binary GWO algorithm to optimize the feature selection </p><p dir="ltr">process and CNNs for image classification, the proposed approach reduces computational costs while increasing </p><p dir="ltr">classification accuracy. …"