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Titlebook: Innovations in Social Finance; Transitioning Beyond Thomas Walker,Jane McGaughey,Nadra Wagdy Book 2021 The Editor(s) (if applicable) and Th

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樓主: Fruition
11#
發(fā)表于 2025-3-23 09:47:25 | 只看該作者
Thomas Walker,Jane McGaughey,Sherif Goubran,Nadra Wagdy of the ZooKeeper implementation. The formal specifications help eliminate the ambiguities in the protocol design and provide comprehensive system documentation. They also help find critical deep bugs in system implementation, which are beyond the reach of state-of-the-art testing techniques. Our sp
12#
發(fā)表于 2025-3-23 16:00:54 | 只看該作者
13#
發(fā)表于 2025-3-23 19:58:14 | 只看該作者
Anne Snicks formal correct guarantees expressed using violation probabilities and confidences. The scenario optimization problem is reduced to a linear program in our framework, which is constructed by a family of independent and identically distributed samples of variables in the given two Boolean formulas.
14#
發(fā)表于 2025-3-24 00:38:01 | 只看該作者
15#
發(fā)表于 2025-3-24 04:07:54 | 只看該作者
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發(fā)表于 2025-3-24 09:18:39 | 只看該作者
17#
發(fā)表于 2025-3-24 14:14:54 | 只看該作者
18#
發(fā)表于 2025-3-24 18:03:18 | 只看該作者
Jason Prince,Vanessa Sorin improve the complexity of computing the bisimulation from the previously known EXPTIME to PTIME. Moreover, we show that the bisimulation for IMDPs is a congruence with respect to two facets of parallelism, namely synchronous product and interleaving. We finally demonstrate the practical effectivene
19#
發(fā)表于 2025-3-24 19:01:29 | 只看該作者
Lars Boggild improve the complexity of computing the bisimulation from the previously known EXPTIME to PTIME. Moreover, we show that the bisimulation for IMDPs is a congruence with respect to two facets of parallelism, namely synchronous product and interleaving. We finally demonstrate the practical effectivene
20#
發(fā)表于 2025-3-25 00:23:03 | 只看該作者
Dave Gorman,Julia Qermezi Huang learning-based vulnerability detector, called AIdetectorX. We conduct experiments on publicly available and widely used datasets for evaluating the effectiveness of AIdetectorX. Evaluation results suggest that AIdetectorX is effective for vulnerability detection and that combining TCN and self-atte
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