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Titlebook: Applied Computing for Software and Smart Systems; Proceedings of ACSS Rituparna Chaki,Agostino Cortesi,Nabendu Chaki Conference proceeding

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發(fā)表于 2025-3-21 18:38:35 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Computing for Software and Smart Systems
期刊簡(jiǎn)稱Proceedings of ACSS
影響因子2023Rituparna Chaki,Agostino Cortesi,Nabendu Chaki
視頻videohttp://file.papertrans.cn/160/159714/159714.mp4
發(fā)行地址Presents high-quality research in the areas of software and smart systems.Features the outcomes of ACSS 2022, held in Kolkata, India.Serves as a reference resource for researchers and practitioners in
學(xué)科分類Lecture Notes in Networks and Systems
圖書封面Titlebook: Applied Computing for Software and Smart Systems; Proceedings of ACSS  Rituparna Chaki,Agostino Cortesi,Nabendu Chaki Conference proceeding
影響因子This book features a collection of high-quality research papers presented at the 9th International Symposium on Applied Computing for Software and Smart systems (ACSS 2022), to be held during September 09–10, 2022 in Kolkata, India. The book presents innovative works by undergraduate, graduate students and as well as PhD scholars. The emphasis of the workshop is on software and smart systems and research outcomes on other relevant areas pertaining to advancement of computing.
Pindex Conference proceedings 2023
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Lecture Notes in Computer Sciencee DISEC’13 (ICDAR 2013 Document Image Skew Estimation Contest) database and its performance is comparable with the state-of-the-art results in terms of both accuracy and computation time. Additionally, this skew estimation scheme has been used on a wide variety of other documents of different script
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Engineering Multi-Agent Systemsthe Base station monitors that some cluster head nodes are behaving maliciously (i.e., does not mine transactions and does not produce new blocks or does not sign the transactions), a smart contract on the public blockchain is triggered and stores the node information of the malicious cluster head n
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Engineering Multi-Agent Systems over-speed protection system of gas turbines containing two mutually conflicting reliability and cost objectives with entropy and several other constraints. We present graphically the effect of optimum system reliability and cost with respect to the percentage change of different parameters. We als
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Gavel: A Sanctioning Enforcement Frameworkd method were superior to those of state-of-the-art methods centered on the different machine learning classifiers. In this paper, automatic sleep data staging was realized, effectively improving the accuracy.
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