Titlebook: Data Engineering and Applications; Proceedings of the I Jitendra Agrawal,Rajesh K. Shukla,Chin-Shiuh Shieh Conference proceedings 2024 The

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書目名稱Data Engineering and Applications影響因子(影響力)




書目名稱Data Engineering and Applications影響因子(影響力)學科排名




書目名稱Data Engineering and Applications網(wǎng)絡公開度




書目名稱Data Engineering and Applications網(wǎng)絡公開度學科排名




書目名稱Data Engineering and Applications被引頻次




書目名稱Data Engineering and Applications被引頻次學科排名




書目名稱Data Engineering and Applications年度引用




書目名稱Data Engineering and Applications年度引用學科排名




書目名稱Data Engineering and Applications讀者反饋




書目名稱Data Engineering and Applications讀者反饋學科排名

WATER

Misnomer

遍及

Nuance

An Efficient Hybrid Model to Summarize the Text Using Transfer Learningt a more useful and important part of that information. In this study, we propose a design to generate a short and coherent version of a longer document. We can achieve this by two methods first one is extractive means it will take out the important words from the same document and the second one is

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Automatic Detection of Learner’s Learning Styleilising surveys, learning styles in traditional and online environments are identified. To automatically determine a learner’s preferred learning style without upsetting them, it is becoming more popular. Machine learning is a branch of artificial intelligence that allows systems to learn and develo

jaunty

Construction of an Intelligent Knowledge-Based System Using Transformer Modelion-making. The process of populating a knowledge base by extracting information from unstructured sources such as pdfs, text, images, and so on is known as knowledge base construction (KBC). It is frequently difficult to deal directly with unstructured data, such as documents. KBC systems assist in

我吃花盤旋

Bereavement

Finite Difference and Finite Volume 1D Steady-State Heat Conduction Model for Machine Learning Algorical models available for machine learning (ML). In thermodynamics field, there are many complex problems like fluid flow, heat transfer, etc. A good mathematical model is needed to solve such problem and to develop ML algorithms. To solve such kinds of problems, there are some mathematical methods

Arrhythmia

Sign Language Detection Through PCANet and SVMhe alphabet in American Sign Language (ASL) using a marker-less vision sensor. Using photos obtained from the color images, this model presents a novel user-independent identification approach for the American Sign Language alphabet. Convolutional neural network designs are utilized for feature lear