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Titlebook: Complex Computational Ecosystems; First International Pierre Collet,Latafat Gardashova,Ulviya Abdulkarim Conference proceedings 2023 The E

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樓主: 烈酒
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發(fā)表于 2025-3-28 15:05:02 | 只看該作者
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發(fā)表于 2025-3-28 20:51:50 | 只看該作者
Pierre Collet,Latafat Gardashova,Ulviya Abdulkarim
43#
發(fā)表于 2025-3-29 01:21:41 | 只看該作者
44#
發(fā)表于 2025-3-29 03:09:42 | 只看該作者
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發(fā)表于 2025-3-29 07:17:46 | 只看該作者
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發(fā)表于 2025-3-29 11:29:24 | 只看該作者
Models for?the?Computational Design of?Microfarms) to simulate the dynamics of this system. The steady state of the field consists of disordered configurations of the plants. We study the evolution of the effective planting rate as a function of the nominal planting rate. When the model plants both vegetables with equal probability, simulations sh
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發(fā)表于 2025-3-29 15:36:30 | 只看該作者
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發(fā)表于 2025-3-29 22:22:51 | 只看該作者
Modeling Ecosystem Management Based on the Integration of Image Analysis and Human Subjective Evaluacts the features of image analysis and human subjective evaluation with consistency according to the level of the evaluators and proposed a cycle that would refine both the evaluation model and associated human capacity. We also presented an interface for utilizing collective knowledge in ecosystem
49#
發(fā)表于 2025-3-30 02:41:39 | 只看該作者
On the?Provision of?Network-Wide Cyber Situational Awareness via?Graph-Based Analyticsh traversal, graph measures, and subgraph mining in vulnerability and security state assessment, attack projection and mitigation, and device criticality estimation. We highlight the benefits of the graph-based approaches compared to traditional methods. Finally, we postulate open research and appli
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發(fā)表于 2025-3-30 04:25:02 | 只看該作者
Metrics for?Evaluating Interface Explainability Models for?Cyberattack Detection in?IoT Dataons (SHAP). However, these models are not able to provide enough quantitative information (metrics) to build complete trust and confidence in the explanations they generate. In this paper, we propose and evaluate metrics such as reliability and latency to quantify the trustworthiness of the explanat
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