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:

Schematic representation of semi-automated algorithm for organoids analyzing. حسب Anna Demchenko (18449439)

Summary of LITNET-2020 dataset. حسب Asmaa Ahmed Awad (16726315)

"…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …"

SHAP analysis for LITNET-2020 dataset. حسب Asmaa Ahmed Awad (16726315)

"…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …"

Comparison of intrusion detection systems. حسب Asmaa Ahmed Awad (16726315)

"…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …"

Parameter setting for CBOA and PSO. حسب Asmaa Ahmed Awad (16726315)

"…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …"

NSL-KDD dataset description. حسب Asmaa Ahmed Awad (16726315)

"…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …"

The architecture of LSTM cell. حسب Asmaa Ahmed Awad (16726315)

"…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …"

The architecture of ILSTM. حسب Asmaa Ahmed Awad (16726315)

"…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …"

Parameter setting for LSTM. حسب Asmaa Ahmed Awad (16726315)

"…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …"

LITNET-2020 data splitting approach. حسب Asmaa Ahmed Awad (16726315)

"…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …"

Transformation of symbolic features in NSL-KDD. حسب Asmaa Ahmed Awad (16726315)

"…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …"

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

"…<div><p>Modern sustainable farming demands precise water management techniques, particularly for crops like potatoes that require high-quality irrigation to ensure optimal growth. 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. …"

ANOVA test for optimization results. حسب Amal H. Alharbi (21755906)

"…<div><p>Modern sustainable farming demands precise water management techniques, particularly for crops like potatoes that require high-quality irrigation to ensure optimal growth. 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. …"