Titlebook: Reconstructing Sovereignty; Antonia M. Waltermann Book 2019 Springer Nature Switzerland AG 2019 state sovereignty.popular sovereignty.parl

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書目名稱Reconstructing Sovereignty影響因子(影響力)




書目名稱Reconstructing Sovereignty影響因子(影響力)學(xué)科排名




書目名稱Reconstructing Sovereignty網(wǎng)絡(luò)公開度




書目名稱Reconstructing Sovereignty網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Reconstructing Sovereignty被引頻次




書目名稱Reconstructing Sovereignty被引頻次學(xué)科排名




書目名稱Reconstructing Sovereignty年度引用




書目名稱Reconstructing Sovereignty年度引用學(xué)科排名




書目名稱Reconstructing Sovereignty讀者反饋




書目名稱Reconstructing Sovereignty讀者反饋學(xué)科排名

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誘騙

Antonia M. Waltermannpromising approach for idea generation, yet fostering creative discussions remains a challenge. This paper proposes Synergistic Platform for Advancing and Reinforcing Knowledge through Interactive Tools (SPARKIT) and SPARK-flow leveraging mind maps to facilitate idea generation within a MAS framewor

不利

Antonia M. Waltermann to decide the bids. Monte-Carlo Tree Search (MCTS), which is a state-of-the-art online planning algorithm for tackling sequential problems, seems a perfect fit for bidding in PDAs. However, the success stories of MCTS are largely limited to discrete action spaces, and its efficacy diminishes when d

needle

Antonia M. Waltermannity, mechanical strength, and biodegradability. To maximize its usage in these applications, artificial intelligence techniques must be used to comprehend and forecast its behavior. Machine learning stands out as the most broadly used AI technique because of its capacity to evaluate massive datasets

MAPLE

Antonia M. Waltermanny. This can lead to a lack of a comprehensive overview of the test architecture, hampering the reuse of test functions when implementing new test cases. To address this challenge, we propose ., an automated test architecture generation approach, which employs an optimization algorithm to retrieve hi

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