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

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

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Error rate convergence graphs. by Nebojsa Bacanin (13932723)

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

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

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

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COFFO control parameters. by Nebojsa Bacanin (13932723)

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

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<i>hi</i>PRS algorithm process flow. by Michela C. Massi (14599915)

Confusion matrix for a binary outcome (adapted from Fawcett [30]). by João Albuquerque (12936572)

Optimization of tracking parameters based on <i>P</i>_<i>swap</i>. by Benjamin Gallois (10131683)

RMSE on the test data when fitting (logistic) quadratic models to binary data across increasing measurement error values . by Jakub Stoklosa (3315042)

Experimental observation of gastruloids and shape quantification using LOCO-EFA. by Martijn A. de Jong (17896732)

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. …”

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. …”

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

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. …”

tUbenet Foundation Model Weights by Natalie Holroyd (7099391)

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

MCLP_quantum_annealer_V0.5 by Anonymous Anonymous (4854526)

“…The paper then addresses the challenge that the scale of slack variables increases significantly as the number of service facilities increases during the TOICCAP transformation process. …”