CEC 2019 benchmark characteristics. by Nebojsa Bacanin (13932723)

Subjects:

Results of Holm’s step-down procedure. by Nebojsa Bacanin (13932723)

Subjects:

Friedman ranks of tested methods on CEC2019 benchmark functions. by Nebojsa Bacanin (13932723)

Subjects:

V-shaped transfer functions. by Nebojsa Bacanin (13932723)

Subjects:

Resilts of Friedman and Iman-Davenport tests (<i>α</i> = 0.05). by Nebojsa Bacanin (13932723)

Subjects:

Mean fitness and standard deviation results of compared approaches on CEC2019 benchmark functions. by Nebojsa Bacanin (13932723)

Subjects:

Error rate convergence graphs. by Nebojsa Bacanin (13932723)

Subjects:

COVID-19 dataset description. by Nebojsa Bacanin (13932723)

Subjects:

Control parameter settings for comparative feature selection methods. by Nebojsa Bacanin (13932723)

Subjects:

The result of the Wilcoxon test of presented COFFO against compared methods. by Nebojsa Bacanin (13932723)

Subjects:

COFFO control parameters. by Nebojsa Bacanin (13932723)

Subjects:

Convergence graphs for ten CEC 2019 benchmark functions and direct comparison between COFFO and FFO. by Nebojsa Bacanin (13932723)

Subjects:

Proposed Algorithm. by Hend Bayoumi (22693738)

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …”

ROC curve for binary classification. by Nicodemus Songose Awarayi (18414494)

“…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”

Confusion matrix for binary classification. by Nicodemus Songose Awarayi (18414494)

“…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”

Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”

The data processing and analysis pipeline. by Xin Zhang (35492)

Analysis and design of algorithms for the manufacturing process of integrated circuits by Sonia Fleytas (16856403)

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

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …”

Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf by Cecilia Lindig-León (7889777)

“…And we propose two new multilabel uses of the Common Spatial Pattern (CSP) algorithm to optimize the signal-to-noise ratio, namely MC2CMI and MC2SMI approaches. …”