標(biāo)題: Titlebook: Data Engineering and Applications; Proceedings of the I Jitendra Agrawal,Rajesh K. Shukla,Chin-Shiuh Shieh Conference proceedings 2024 The [打印本頁(yè)] 作者: nourish 時(shí)間: 2025-3-21 18:57
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(xué)科排名
書目名稱Data Engineering and Applications網(wǎng)絡(luò)公開度
書目名稱Data Engineering and Applications網(wǎng)絡(luò)公開度學(xué)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(xué)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(xué)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(xué)科排名
作者: WATER 時(shí)間: 2025-3-21 21:25 作者: Misnomer 時(shí)間: 2025-3-22 04:26 作者: 遍及 時(shí)間: 2025-3-22 05:23 作者: Nuance 時(shí)間: 2025-3-22 09:47
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作者: jaunty 時(shí)間: 2025-3-22 14:29
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作者: jaunty 時(shí)間: 2025-3-22 20:58
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作者: 我吃花盤旋 時(shí)間: 2025-3-22 22:22 作者: Bereavement 時(shí)間: 2025-3-23 03:18
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 作者: Arrhythmia 時(shí)間: 2025-3-23 09:20
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作者: aqueduct 時(shí)間: 2025-3-23 12:11 作者: MEN 時(shí)間: 2025-3-23 14:23
Effective Prediction of Coronary Heart Disease Using Hybrid Machine Learning alarming rate, and it is critical and significant to predict these diseases in advance. A major challenge in clinical data research is predicting cardiovascular disease. At this point in time, one person dies from heart disease per minute. As a result, early identification of CHD can aid in the red作者: fructose 時(shí)間: 2025-3-23 19:39 作者: 浮雕寶石 時(shí)間: 2025-3-23 23:34
Plant Disease Detection Using Machine Learning Approaches: A Reviewcountries like India, Pakistan and Nepal, the condition of the agriculture sector is getting worse day by day. There are many reasons behind it, but one of the reasons is the degeneration of crops by pests and disease. Agriculture solely depends on the biological health of the seeds, crops, informat作者: Spinal-Tap 時(shí)間: 2025-3-24 05:16 作者: Maximize 時(shí)間: 2025-3-24 08:51 作者: 褪色 時(shí)間: 2025-3-24 14:30 作者: 改革運(yùn)動(dòng) 時(shí)間: 2025-3-24 17:27 作者: 鬧劇 時(shí)間: 2025-3-24 19:21
Conference proceedings 2024tion handling, image, video and signal processing, ICT applications and e-governance, among others. This book is of interest to researchers in academia and industry working in big data, data mining, machine learning, data science, and their associated learning systems and applications.作者: prodrome 時(shí)間: 2025-3-25 00:47 作者: 手勢(shì) 時(shí)間: 2025-3-25 04:50 作者: 一再遛 時(shí)間: 2025-3-25 11:13
means the model can predict new observations accurately. Also, the adjusted . has been recorded to be 0.9943, which indicates the model behaves well when adjustments are made to variables or new variables are added or eliminated. Performance comparison has been performed with other existing models to establish the supremacy of the proposed one.作者: plasma 時(shí)間: 2025-3-25 14:50 作者: 善于 時(shí)間: 2025-3-25 17:53 作者: 釋放 時(shí)間: 2025-3-25 22:35
scaling parameters. The suggested methodology utilized supervised learning to classify forgery patch pixels. The experiment obtains an accuracy of 94.37, a recall of 97.03, and an F1 value of 94.03. The performance of the suggested algorithms is compared to the state-of-the-art approach and found to be superior.作者: 性滿足 時(shí)間: 2025-3-26 03:11 作者: hardheaded 時(shí)間: 2025-3-26 06:28
ument online mode itself. For this, support vector machine (SVM) algorithm and optical character recognition (OCR) are used. For invalid documents, the comment is displayed on the screen to upload the correct document, before submitting data.作者: Culmination 時(shí)間: 2025-3-26 09:30 作者: Defraud 時(shí)間: 2025-3-26 15:58 作者: 上下連貫 時(shí)間: 2025-3-26 20:52
Feature Extraction Using Levy Distribution-Based Salp Swarm Algorithm repository to legitimize the supremacy of proposed algorithm with other existing methodologies. The comparative outcome shows the distribution improves the performance of SSA method and surpasses over other optimization algorithm.作者: Urea508 時(shí)間: 2025-3-27 00:37
Plant Disease Detection Using Machine Learning Approaches: A Reviewcessing, soft computing and data mining are likely to play a vital role in recognizing plant diseases. This paper aims to review existing studies and investigations using the recent practices to solve a variety of agricultural problems作者: 現(xiàn)存 時(shí)間: 2025-3-27 04:17 作者: Host142 時(shí)間: 2025-3-27 06:48
A Machine Learning-Based Approach to Combat Hate Speech on Social Mediaotice them. With 83% accuracy, the calculation of the machine learning-based approach using a dimensionality reduction technique is more accurate than other existing methods, such as 71.33% of Na?ve Bayes and 80.56% of SVM.作者: Expressly 時(shí)間: 2025-3-27 12:14 作者: 明智的人 時(shí)間: 2025-3-27 16:53
https://doi.org/10.1007/978-3-662-06429-0id model which can attain this task by distilling salient words from the document and by generating completely new sentences by understanding the semantics. We used T5 which is a transfer learning model and get a better ROUGE-1 score of 45.2, ROUGE-2 score of 23.1, and ROUGE-L score of 39.7, which is better than all other models.作者: MURKY 時(shí)間: 2025-3-27 20:28 作者: TRAWL 時(shí)間: 2025-3-27 22:24 作者: Hemiplegia 時(shí)間: 2025-3-28 04:18 作者: Cytology 時(shí)間: 2025-3-28 06:42 作者: 話 時(shí)間: 2025-3-28 13:01 作者: Generator 時(shí)間: 2025-3-28 15:35 作者: Mere僅僅 時(shí)間: 2025-3-28 19:17
Data Engineering and Applications978-981-97-0037-0Series ISSN 1876-1100 Series E-ISSN 1876-1119 作者: neurologist 時(shí)間: 2025-3-28 23:11 作者: AVID 時(shí)間: 2025-3-29 06:32
solutions at various levels of educational system. That is useful for students, educators, management, and administration for decision-making and preparing futuristic strategies. The proposed EDM framework is motivated to enhance the student academic performance. The focus is on threefold: first to 作者: 先兆 時(shí)間: 2025-3-29 11:08 作者: gustation 時(shí)間: 2025-3-29 13:16
,Himmler, Himmler’s Canary, and Us, when compared to the typical default package of JDK?+?JVM that is made accessible by Oracle or OpenJDK, GraalVM, an industry-leading high-performance JVM, provides several benefits that are not shared by the other two. So, we are using GraalVM as our default JDK and Apache OpenNLP for NLP-related t作者: flammable 時(shí)間: 2025-3-29 19:38
https://doi.org/10.1007/978-3-662-06429-0t 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作者: 免除責(zé)任 時(shí)間: 2025-3-29 22:24
Alphabetical index of substances,ilising 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作者: indifferent 時(shí)間: 2025-3-30 01:12 作者: Sedative 時(shí)間: 2025-3-30 06:18 作者: CRUC 時(shí)間: 2025-3-30 12:00 作者: irradicable 時(shí)間: 2025-3-30 12:26
https://doi.org/10.1007/978-1-4302-0755-9he 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作者: Bucket 時(shí)間: 2025-3-30 17:44 作者: 運(yùn)動(dòng)的我 時(shí)間: 2025-3-31 00:46
alarming rate, and it is critical and significant to predict these diseases in advance. A major challenge in clinical data research is predicting cardiovascular disease. At this point in time, one person dies from heart disease per minute. As a result, early identification of CHD can aid in the red作者: 表否定 時(shí)間: 2025-3-31 02:17
nhance the classification accuracy. The swarm intelligence algorithm provides superior optimal solution through distributive search over complete search in the feature space. Nevertheless, the SSA algorithm falls with local optima and poor convergence rate. In this paper, the levy distribution-based作者: LARK 時(shí)間: 2025-3-31 07:34 作者: 孤僻 時(shí)間: 2025-3-31 13:08
able to edit photographs and modify their attributes. Copy and move forgery is the most prevalent sort of picture counterfeiting. An approach based on machine learning is proposed in this work to identify copy–move picture forgery. The suggested technique detects and localizes copy–move patches. Th作者: BADGE 時(shí)間: 2025-3-31 16:11
al disclosure methods are typically not very effective because they do not understand the two groups in any communication having particular words as hateful as a speech. In this proposal, large hate speech vocabularies were developed to collect tweets that contained terms of hate speech. A dimension作者: omnibus 時(shí)間: 2025-3-31 18:11
all over the world. Machine learning and deep learning techniques are playing an important role in medical diagnosis. Several machine learning and deep learning techniques are proposed for the prediction of SARS-COVID-19. The analysis of SARS-COVID is performed based on the lung images. These lung 作者: PAD416 時(shí)間: 2025-4-1 01:30 作者: 笨拙處理 時(shí)間: 2025-4-1 01:52
Jitendra Agrawal,Rajesh K. Shukla,Chin-Shiuh ShiehComprises select peer-reviewed proceedings of the conference IDEA 2022.Broadens understanding in the domains of data structures and data management algorithms, among others.Discusses novel theories an
