Titlebook: Artificial Intelligence Applications and Innovations; 20th IFIP WG 12.5 In Ilias Maglogiannis,Lazaros Iliadis,Antonios Papale Conference pr

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書目名稱Artificial Intelligence Applications and Innovations影響因子(影響力)




書目名稱Artificial Intelligence Applications and Innovations影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence Applications and Innovations網(wǎng)絡(luò)公開(kāi)度




書目名稱Artificial Intelligence Applications and Innovations網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Artificial Intelligence Applications and Innovations被引頻次




書目名稱Artificial Intelligence Applications and Innovations被引頻次學(xué)科排名




書目名稱Artificial Intelligence Applications and Innovations年度引用




書目名稱Artificial Intelligence Applications and Innovations年度引用學(xué)科排名




書目名稱Artificial Intelligence Applications and Innovations讀者反饋




書目名稱Artificial Intelligence Applications and Innovations讀者反饋學(xué)科排名

Radiculopathy

1868-4238 d Innovations, AIAI 2024, held in?Corfu, Greece, during June 27–30, 2024...The 100 full papers and 8 short papers included in this book were carefully reviewed and selected from 213 submissions. The diverse nature of papers presented demonstrates the vitality of AI algorithms and approaches. It cert

凝乳

https://doi.org/10.1007/978-3-662-64165-1sets and state-of-the-art methods with code are not publicly available, we compared our framework with a commonly handcrafted approach largely used as a baseline method in racket sports analysis. We show that our method outperforms the baseline in terms of registration accuracy and inference latency per frame.

匍匐前進(jìn)

https://doi.org/10.1007/978-3-662-40021-0izing network functions. This study provides essential guidance for selecting the appropriate model based on the trade-off between time efficiency and detection accuracy, thereby enhancing the decision-making process in road quality assessment and contributing to safer transportation infrastructure.

Awning

字謎游戲

A Deep Learning-Based Framework for?Racket Sports Court Registrationsets and state-of-the-art methods with code are not publicly available, we compared our framework with a commonly handcrafted approach largely used as a baseline method in racket sports analysis. We show that our method outperforms the baseline in terms of registration accuracy and inference latency per frame.

DAFT

Towards Robust Road Quality Detection Using Different Detection Modelsizing network functions. This study provides essential guidance for selecting the appropriate model based on the trade-off between time efficiency and detection accuracy, thereby enhancing the decision-making process in road quality assessment and contributing to safer transportation infrastructure.

fixed-joint

Explanations for?Core Decompositionusal relationships between network connectivity and core decomposition. To this end, at first we define what a causal explanation is, according to the core decomposition problem. Then, apart from the algorithmic contribution in identifying the causal explanations, we also provide different related experimental results that demonstrate its use.

清唱?jiǎng)?/a>

Conference proceedings 2024and selected from 213 submissions. The diverse nature of papers presented demonstrates the vitality of AI algorithms and approaches. It certainly proves the very wide range of AI applications as well..

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