Comparative experimental data of loss functions. by Huiying Zhang (200681)

“…The backbone network uses the lightweight Repvit model, improving detection performance and reducing model weight through transfer learning. …”

Results in the performance of the objective function terms obtained by the MbPBO methodology using PSO with respect to the initial parameters in Table 2. by Roberto Castro-Medina (21484990)

Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. by Gabriel Matías Lorenz (21094672)

Predicting the Mutagenic Activity of Nitroaromatics Using Conceptual Density Functional Theory Descriptors and Explainable No-Code Machine Learning Approaches by Andrés Halabi Diaz (20798460)

“…Following OECD QSAR guidelines, feature selection and model development were performed using decision-tree-based algorithms (Random Tree, JCHAID*, SPAARC) and multilayer perceptrons (MLPs). …”

Fitness function over the 50 runs. by Mohammed Alqahtani (2049139)

“…Employing optimization techniques including the osprey optimization algorithm (OOA), zebra optimization algorithm (ZOA), and flying foxes optimization (FFO) algorithm, the study aims to determine the optimal sizing of solar PV, wind, biomass, and battery components. …”

Fitness function over the 50 runs. by Mohammed Alqahtani (2049139)

“…Employing optimization techniques including the osprey optimization algorithm (OOA), zebra optimization algorithm (ZOA), and flying foxes optimization (FFO) algorithm, the study aims to determine the optimal sizing of solar PV, wind, biomass, and battery components. …”

Fitness function over the 50 runs. by Mohammed Alqahtani (2049139)

“…Employing optimization techniques including the osprey optimization algorithm (OOA), zebra optimization algorithm (ZOA), and flying foxes optimization (FFO) algorithm, the study aims to determine the optimal sizing of solar PV, wind, biomass, and battery components. …”

The value functions of comparative policies. by Liying Wang (288626)

“…These expressions are determined using the copula function, and an algorithm is designed to construct the corresponding transition probability matrix. …”

Loss function curves. by Saad Hammood Mohammed (20623506)

Compare NC versus the network area using MVO algorithm with different methods in case of 36 mesh routers. by Le Huu Binh (18340233)

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Compare NC versus the network area using MVO algorithm with different methods in case of 40 mesh routers. by Le Huu Binh (18340233)

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Test function convergence curve. by Anqi Jiang (4583380)

“…Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. …”

Comparison of experimental results of information entropy using different methods. by Cheng-jie Chen (22272090)

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Convergence graphs of CEC2021 test functions. by Yu Liu (6938)

“…CEC2021 and 23 benchmark functions are used to test the effectiveness and feasibility of the CTCMKT. …”

Pseudo-code of DMDDPG algorithm. by Guohua Cao (697580)

“…First, we analyze the stages of hole-seeking, alignment, and insertion in the shaft-hole assembly process, based on a comprehensive study of the interactions between shafts and holes. Next, a reward function is designed by integrating the decoupled multi-agent deterministic deep deterministic policy gradient (DMDDPG) algorithm. …”

Main parameters of braking system. by Honglei Pang (22693724)

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EMB and SBW system structure. by Honglei Pang (22693724)

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Raw data. by Honglei Pang (22693724)

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Code program. by Honglei Pang (22693724)

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The HIL simulation data flowchart. by Honglei Pang (22693724)

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