Size of k-cores in power-law networks with different degree correlations. حسب Yuka Fujiki (12269596)

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LRDCs at <i>l</i> = 2 in real networks in Table 2. حسب Yuka Fujiki (12269596)

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Properties of the real networks in Fig 12. حسب Yuka Fujiki (12269596)

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Efficiency and diameter of 2-NNCRNs. حسب Yuka Fujiki (12269596)

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Robustness of 2-NNCRNs against targeted attack. حسب Yuka Fujiki (12269596)

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The mean value of <i>r</i>₁ and <i>r</i>₂ of 2-NNCRNs. حسب Yuka Fujiki (12269596)

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The S, , and E dependence on the node retention probability p during targeted attack on Poisson networks. حسب Yuka Fujiki (12269596)

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Robustness-like quantity f^* evaluated by the position of the peaks of susceptibility under random edge removal for the core (upper lines) and the periphery (lower lines)... حسب Yuka Fujiki (12269596)

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Robustness of 2-NNCRNs against random edge removal. حسب Yuka Fujiki (12269596)

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Summary of effects of an increase in either <i>r</i>₁ or <i>r</i>₂ on , , and <i>R.</i> حسب Yuka Fujiki (12269596)

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Robustness of 2-NNCRNs against random node removal. حسب Yuka Fujiki (12269596)

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HMAMP: Designing Highly Potent Antimicrobial Peptides Using a Hypervolume-Driven Multiobjective Deep Generative Model حسب Li Wang (15202)

"…By synergizing reinforcement learning and a gradient descent algorithm rooted in the hypervolume maximization concept, HMAMP effectively biases generative processes and mitigates the pattern collapse issue. …"

Algorithm factor level change curve. حسب Kuiyuan Pan (21145338)

"…Initially, a mathematical model considering flexibility benefit, new energy consumption benefit, economic benefit, and environmental benefit is established to maximize the comprehensive benefits brought by P2H equipment to the integrated energy system, and the model is solved using an improved backbone particle swarm optimization (IBBPSO) algorithm; subsequently, a multi-dimensional value evaluation system based on the analytic hierarchy process (AHP) -entropy weight method is constructed, and the value of P2H equipment with different capacity configurations in the integrated energy system is compared and analyzed when the comprehensive benefit is optimal. …"

Numerical results under different algorithms. حسب Kuiyuan Pan (21145338)

"…Initially, a mathematical model considering flexibility benefit, new energy consumption benefit, economic benefit, and environmental benefit is established to maximize the comprehensive benefits brought by P2H equipment to the integrated energy system, and the model is solved using an improved backbone particle swarm optimization (IBBPSO) algorithm; subsequently, a multi-dimensional value evaluation system based on the analytic hierarchy process (AHP) -entropy weight method is constructed, and the value of P2H equipment with different capacity configurations in the integrated energy system is compared and analyzed when the comprehensive benefit is optimal. …"

Solving flow chart of the IBBPSO algorithm. حسب Kuiyuan Pan (21145338)

"…Initially, a mathematical model considering flexibility benefit, new energy consumption benefit, economic benefit, and environmental benefit is established to maximize the comprehensive benefits brought by P2H equipment to the integrated energy system, and the model is solved using an improved backbone particle swarm optimization (IBBPSO) algorithm; subsequently, a multi-dimensional value evaluation system based on the analytic hierarchy process (AHP) -entropy weight method is constructed, and the value of P2H equipment with different capacity configurations in the integrated energy system is compared and analyzed when the comprehensive benefit is optimal. …"

Comparative performance evaluation of 3Mont with other feature selection algorithms over 10 iterations. حسب Miray Unlu Yazici (14792680)

"…Abbreviations: SKB: SelectKBest, FCBF: Fast Correlation Based Filter, IG: Information Gain, CMIM: Conditional Mutual Information Maximization, MRMR: Minimum Redundancy Maximum Relevance.…"

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

Data for "Machine Learning-based Prediction of Passive Gears from Vessel Tracking Data in Small-Scale Multi-gear Fisheries" حسب Pamela Lattanzi (16454871)

IRS-assisted system model. حسب Sarmad Sohaib (21273402)

"…In the PSM-based algorithm, the IRS phase shift vector is selected from a predefined PSM to maximize the output signal-to-noise ratio (SNR) at the receiver. …"

Generalized architecture of an IRS system. حسب Sarmad Sohaib (21273402)

"…In the PSM-based algorithm, the IRS phase shift vector is selected from a predefined PSM to maximize the output signal-to-noise ratio (SNR) at the receiver. …"