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Titlebook: Applied Machine Learning and Data Analytics; 5th International Co M. A. Jabbar,Fernando Ortiz-Rodríguez,Patrick Siar Conference proceedings

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發(fā)表于 2025-3-21 19:49:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Machine Learning and Data Analytics
期刊簡(jiǎn)稱5th International Co
影響因子2023M. A. Jabbar,Fernando Ortiz-Rodríguez,Patrick Siar
視頻videohttp://file.papertrans.cn/160/159912/159912.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Applied Machine Learning and Data Analytics; 5th International Co M. A. Jabbar,Fernando Ortiz-Rodríguez,Patrick Siar Conference proceedings
影響因子This book constitutes the refereed proceedings of the 5th International Conference on Applied Machine Learning and Data Analytics, AMLDA?2022, held in Reynosa, Tamaulipas, Mexico, during December 22–23, 2022.?The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: Machine?learning, Healthcare?and medical imaging informatics; biometrics; forensics; precision agriculture; risk management; robotics and satellite imaging..
Pindex Conference proceedings 2023
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SMDKGG: A Socially Aware Metadata Driven Knowledge Graph Generation for Disaster Tweets, So, in this paper Knowledge Graph Generation framework, the SMDKGG has been proposed, is a Semantically Inclined Metadata driven model for Knowledge Graph Generation, which is a text to Knowledge Graph generation strategy where the document dataset is subjected to a lateral mapping of categories an
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Brain MRI Image Classification Using Deep Learning, classify and diagnose this problem effectively and help medical professionals save precious lives. Brain MRI [.] images help in detection of these tumors. Though there are classification techniques the most common limitation is low accuracy. In this paper we use Deep Learning Architectures to perfo
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,Better Qualitative Searching for?Effecting the?Performance of?Machine Translation,tributes to the empowerment of intelligent machines. Instead of hand-coding massive sets of rules, NLP can use machine learning to learn these rules automatically by examining a set of rules. With a view to better and clearer results in the endeavor to achieve success in the field of language transl
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