Titlebook: Advances in Artificial Intelligence and Data Engineering; Select Proceedings o Niranjan N. Chiplunkar,Takanori Fukao Conference proceedings

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書目名稱Advances in Artificial Intelligence and Data Engineering影響因子(影響力)




書目名稱Advances in Artificial Intelligence and Data Engineering影響因子(影響力)學(xué)科排名




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書目名稱Advances in Artificial Intelligence and Data Engineering網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Artificial Intelligence and Data Engineering被引頻次




書目名稱Advances in Artificial Intelligence and Data Engineering被引頻次學(xué)科排名




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書目名稱Advances in Artificial Intelligence and Data Engineering年度引用學(xué)科排名




書目名稱Advances in Artificial Intelligence and Data Engineering讀者反饋




書目名稱Advances in Artificial Intelligence and Data Engineering讀者反饋學(xué)科排名

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新娘

Advances in Artificial Intelligence and Data Engineering978-981-15-3514-7Series ISSN 2194-5357 Series E-ISSN 2194-5365

共同時代

Gross Anatomy of the Breast and Axillaf deep learning algorithm-based U-Net model to handle varied spectrum of data and a comprehensive analysis of the performance of this deep learning approach with real-world data like BraTS 2018 dataset under consideration.

MAOIS

https://doi.org/10.1057/9780230626553st in the present era of big data. Video summarization helps in efficient storage and also quick surfing of large collection of videos without losing the important ones. The summarization of the videos is done with the help of subtitles which is obtained using several text summarization algorithms.

共同生活

https://doi.org/10.1057/9780230626553cal practitioners as it needs adequate experience and knowledge. This study focuses on the real problem dealing with heart patient’s data to make well-timed detection and prognosis of risk. The research revolves around building a prediction model to diagnose coronary heart disease. For this purpose,

Restenosis

Anthony J. Strelkauskas,Paul H. Aldenderferom non-fatal injuries and incurring disabilities. The road accidents have tended many researchers to analyze the severity and type of the accident to enhance road safety measures and aid to speed up the post-crash support amenities. This paper attempts to classify the severity of the accidents by an

我不明白

Robert D. Cardiff,Shoichiro Taniuchi,Daer Heents from the images. Weighing sheep for the analysis of their health and growth is a very arduous task, and traditional methods of weighing using a balance are very time-consuming. Estimating sheep weights using computer vision algorithms has already been tried, but these methods are not efficient

arterioles

Anthony J. Strelkauskas,Paul H. Aldenderferstures and voice. It is imperative to improve voice recognition and response since there is a growing market of technologies, world-wide, that use this interface. Majority of English speakers around the world have accents which are not exposed to speech recognition systems on a greater scale. In ord

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