转变
发表于 2025-3-21 19:19:47
书目名称Information and Communication Technology and Applications影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0465859<br><br> <br><br>书目名称Information and Communication Technology and Applications影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0465859<br><br> <br><br>书目名称Information and Communication Technology and Applications网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0465859<br><br> <br><br>书目名称Information and Communication Technology and Applications网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0465859<br><br> <br><br>书目名称Information and Communication Technology and Applications被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0465859<br><br> <br><br>书目名称Information and Communication Technology and Applications被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0465859<br><br> <br><br>书目名称Information and Communication Technology and Applications年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0465859<br><br> <br><br>书目名称Information and Communication Technology and Applications年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0465859<br><br> <br><br>书目名称Information and Communication Technology and Applications读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0465859<br><br> <br><br>书目名称Information and Communication Technology and Applications读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0465859<br><br> <br><br>
安慰
发表于 2025-3-21 22:49:12
Application of Big Data Analytics for Improving Learning Process in Technical Vocational Education aigeria. Two research questions were answered. The descriptive survey design was employed and the target population was made up of experts in TVET. A structured questionnaire titled “Big Data Analytics in Technical Vocational Education and Training” (BDATVET) is the tool used for data compilation. BD
联邦
发表于 2025-3-22 00:33:24
A Survey for Recommender System for Groups. The aim of this paper is to provide an overview of the existing state of the art techniques for collecting ratings, strategies used in aggregating these strategies and the practical application for group recommendations. This study explored five databases which include IEEE, Science Direct, Spring
不确定
发表于 2025-3-22 04:58:07
Prediction of Malaria Fever Using Long-Short-Term Memory and Big Data. This prevails in developing nations where healthcare facilities are not enough for the patients. The technological advancement in medicine has resulted in the collection of huge volumes of data from various sources in different formats. A reliable and early parasite-based diagnosis, identification
红润
发表于 2025-3-22 12:10:49
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SLUMP
发表于 2025-3-22 16:42:24
Comparative Analyses of Machine Learning Paradigms for Operators’ Voice Call Quality of Servicers increases over limited resources, the challenge of value for money paid becomes the concern of MNOs, and their customers. A significant weakness in the researchers’ assessment of operators’ voice call services is lack of performance evaluation on models developed base on a data set covering a bro
scoliosis
发表于 2025-3-22 19:07:37
LearnFuse: An Efficient Distributed Big Data Fusion Architecture Using Ensemble Learning Techniquetical result. This technique is less computationally expensive when compared with traditional method. In this work, spatial data were acquired, performed image filtration, standardization, feature extraction and Local learning method was adopted to partition the dataset into clusters. The portioned
消瘦
发表于 2025-3-22 21:12:41
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Overstate
发表于 2025-3-23 02:50:25
Analysis and Classification of Biomedical Data Using Machine Learning Techniques deaths in women. A biopsy in which tissue is microscopically extracted and analyzed will be used for the detection of breast cancer. The cancer cells are either categorized as cancer or non-cancer. There are various methods for classifying and predicting breast cancer. The proposed work uses a brea
lipoatrophy
发表于 2025-3-23 06:45:45
Emotion Recognition of Speech in Hindi Using Dimensionality Reduction and Machine Learning Technique. To predict human beings, the existing machine learning algorithms were applied to train the available dataset to obtain better results. This will result in obtaining much better response from machines by processing the human instruction & related emotions. Through machine learning techniques emoti