检索结果-南通市图书馆

Music Genre Classification Using African Buffalo Optimization

Computer Systems Science & Engineering 2023年第2期44卷 1823-1836页

作者： B.Jaishankar Raghunathan Anitha finney daniel shadrach M.Sivarathinabala V.Balamurugan KPR Institute of Engineering and Technology Coimbatore641407India Government Engineering College Palakkad678633India Velammal Institute of Technology Chennai601204India Sathyabama Institute of Science and Technology Chennai600119India

In the discipline of Music Information Retrieval(MIR),categorizing musicﬁles according to their genre is a difﬁcult *** genre classiﬁca-tion is an important multimedia research domain for classiﬁcation of music *** the proposed method music genre classiﬁcation using features obtained from audio data is *** classiﬁcation is done using features extracted from the audio data of popular online repository namely GTZAN,ISMIR 2004 and Latin Music Dataset(LMD).The features highlight the differences between different musical *** the proposed method,feature selection is per-formed using an African Buffalo Optimization(ABO),and the resulting features are employed to classify the audio using Back Propagation Neural Networks(BPNN),Support Vector Machine(SVM),Naïve Bayes,decision tree and kNN classiﬁ*** evaluation reveals that,ABO based feature selection strategy achieves an average accuracy of 82%with mean square error(MSE)of 0.003 when used with neural network classiﬁer.

关键词： Genre african buffalo optimization neural network SVM audio data music

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Combining Handcrafted Features and Deep Learning for Automatic Classification of Lung Cancer on CT Scans

引用

Journal of Artificial Intelligence and Technology 2024年第2期4卷 102-113页

作者： Pallavi Deshpande Mohammed Wasim Bhatt Santaji Krishna Shinde Neelam Labhade-Kumar N.Ashokkumar K.G.S.Venkatesan finney daniel shadrach Bharati Vidyapeeth(Deemed to be University)College of Engineering PuneIndia Model Institute of Engineering and Technology Jammu Jammu&KashmirIndia Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering&Technology BaramatiPuneMaharashtraIndia Shree Ramchandra College of Engineering WagholiPuneIndia Mohan Babu University Erstwhile Sree Vidyanikethan Engineering CollegeTirupati-517102Andra PradeshIndia MEGHA Institute of Engineering&Technology for Women EdulabadHyderabadTelanganaIndia KPR Institute of Engineering and Technology CoimbatoreIndia

On a global scale,lung cancer is responsible for around 27%of all cancer *** though there have been great strides in diagnosis and therapy in recent years,the five-year cure rate is just 19%.Classification is crucial for diagnosing lung *** is especially true today that automated categorization may provide a professional opinion that can be used by *** computer vision and machine learning techniques have made possible accurate and quick categorization of CT *** field of research has exploded in popularity in recent years because of its high efficiency and ability to decrease labour ***,they want to look carefully at the current state of automated categorization of lung *** structures are briefly discussed,and typical algorithms are *** results show deep learning-based lung nodule categorization quickly becomes the industry ***,it is critical to pay greater attention to the coherence of the data inside the study and the consistency of the research ***,there should be greater collaboration between designers,medical experts,and others in the field.

关键词： CT image classification deep learning handcrafted features lung cancer lung nodule classification

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

The Global Stratotype Section and Point （GSSP） for the base of the Katian Stage of the Upper Ordovician Series at Black Knob Ridge, Southeastern Oklahoma, USA

引用

Episodes 2007年第4期30卷 258-270页

作者： daniel Goldman Stephen A. Leslie Jaak Nōlvak Seth Young Stig M. Bergstroem Warren D. Huff Department of Geology University of Dayton 300 College Park Dayton Ohio 45469 USA Deparment of Geology and Environmental Science James Madison University MSC 6903 Harrisonburg VA 22807 USA Institute of Geology at Tallinn University of Technology Ehitajate tee 5 19086 Tallinn Estonia School of Earth Sciences Division of Geological Sciences The Ohio State University 155 S. Oval Mall Columbus Ohio 43210 USA Department of Geology University of Cincinnati Cincinnati Ohio 45221 USA.

The Global Boundary Stratotype Section and Point （GSSP） for the Katian Stage of the Upper Ordovician Series is defined as the 4.0 m-level above the base of the Bigfork Chert in the Black Knob Ridge section, southeastern Oklahoma. This point in this section is coincident with the first appearance of the graptolite Diplacanthograptus caudatus, which has proved to be a reliable datum for precise worldwide correlation. The FAD ofD. caudatus occurs very near the first occurrences of the graptolites D. lanceolatus, *** americanus, Orthograptus pageanus, O. quadrimucronatus, Dicranograptus hians, and Neurograptus margaritatus. This rapid succession of fossil species appearance events provides a secure basis for identification of the base of the Katian Stage of the Upper Ordovician Series and for its global chronostratigraphic correlation.

关键词：层形断面奥陶纪俄克拉荷马州美国地质特点

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：