Several loop patterns found in binary code. by Alba Pedro-Zapater (8600382)

Optimized network structure. by Menaa Nawaz (14304920)

A schematic diagram of the distribution of base stations in a city shows that the distribution of base stations is not even, showing a trend of being dense inside and sparse outsid... by Xiaorui Wu (8322705)

Proposed Algorithm. by Hend Bayoumi (22693738)

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

The hyperparameters selected for CLPREM, as well as other settings of the model, were determined based on experience and testing. by Xiaorui Wu (8322705)

Table_1_Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning.DOCX by Maruf A. Tamal (18947776)

“…To bridge these gaps, this study aims to develop a more robust, effective, sophisticated, and reliable solution for phishing detection through the optimal feature vectorization algorithm (OFVA) and supervised machine learning (SML) classifiers.…”

Table_2_Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning.DOCX by Maruf A. Tamal (18947776)

“…To bridge these gaps, this study aims to develop a more robust, effective, sophisticated, and reliable solution for phishing detection through the optimal feature vectorization algorithm (OFVA) and supervised machine learning (SML) classifiers.…”

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

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

The Pseudo-Code of the IRBMO Algorithm. by 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. …”

Synopsis Presentation by ZAR BAKHT IMTIAZ (8180682)

“…We are going to propose a multi objective community detection technique based on chance constrained optimization which requires less parameter tuning and gives higher accuracy. …”

Here is the extracted cattle’s image from the original image using YOLOv5 algorithm, which accurately detects and isolates the cattle for further processing. by Md Junayed Hossain (22615268)

IRBMO vs. meta-heuristic algorithms boxplot. by 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. …”

IRBMO vs. feature selection algorithm boxplot. by 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. …”

Probability of detection analysis of SST-CRN model under fading channels. by Saraswathi M. (19353597)

Subjects:

Probability of detection analysis of SST-CRN model under non-fading channels. by Saraswathi M. (19353597)

Subjects:

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

“…For more research datasets and published papers, please pay attention to the following:</p><p dir="ltr">Dataset:</p><ol><li>PPG-BP Database: <a href="https://doi.org/10.6084/m9.figshare.5459299.v5" rel="noreferrer" target="_blank">https://doi.org/10.6084/m9.figshare.5459299.v5</a></li><li>Non-invasive Hemoglobin Detection based on Four-wavelength PPG Signal: <a href="https://doi.org/10.6084/m9.figshare.22256143.v1" rel="noreferrer" target="_blank">https://doi.org/10.6084/m9.figshare.22256143.v1</a></li><li>Cuff-less Blood Pressure Measurement based on Four-wavelength PPG Signals：<a href="https://doi.org/10.6084/m9.figshare.23283518.v1" target="_blank">https://doi.org/10.6084/m9.figshare.23283518.v1</a></li></ol><p dir="ltr">Published Articles:</p><p dir="ltr">[1] Mohamed Elgendi, Richard Fletcher, <b>Yongbo Liang</b>, et al. …”

Supporting data for “Digital immunochromatography: A bead-based bilateral zigzag flow immuno-assay with adaptive differential noise correction for rapid and precise protein detecti... by Zhiting Peng (9722516)

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

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

Related Work Summary. by Hend Bayoumi (22693738)

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

Simulation parameters. by Hend Bayoumi (22693738)

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