Proposed Algorithm. by Hend Bayoumi (22693738)

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

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

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

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

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

The workflow diagram for the gene expression biomarker study which involve using principal component analysis (PCA) to reduce the number of features (principal components), thus re... by Aninda Astuti (21736334)

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

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

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

Related Work Summary. by Hend Bayoumi (22693738)

Simulation parameters. by Hend Bayoumi (22693738)

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

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

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

DataSheet1_CycleStyleGAN-Based Knowledge Transfer for a Machining Digital Twin.ZIP by Evgeny Zotov (11756339)

“…The proposed approach is implemented as a domain adaptation algorithm based on the generative adversarial network model. …”

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

An exemplar procedure for activity flow modeling based on the direct and shortest paths at a network density of 15%. by Zhengdong Wang (35299)

Hybrid Computational Framework for Fault Detection in Coil Winding Manufacturing Process Using Knowledge Distillation by Izhar Escudero Ornelas (7442897)

“…The Random Forest algorithm demonstrated superior performance due to its ability to handle complex data and identify the impact of interdependencies of process parameters on the final product quality. …”

Models and Dataset by M RN (9866504)

“…<p dir="ltr"><b>P3DE (Parameter-less Population Pyramid with Deep Ensemble):</b><br>P3DE is a hybrid feature selection framework that combines the Parameter-less Population Pyramid (P3) metaheuristic optimization algorithm with a deep ensemble of autoencoders. …”