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Titlebook: Information and Communication Technology and Applications; Third International Sanjay Misra,Bilkisu Muhammad-Bello Conference proceedings

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發(fā)表于 2025-3-21 19:19:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Information and Communication Technology and Applications
副標(biāo)題Third International
編輯Sanjay Misra,Bilkisu Muhammad-Bello
視頻videohttp://file.papertrans.cn/466/465859/465859.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Information and Communication Technology and Applications; Third International  Sanjay Misra,Bilkisu Muhammad-Bello Conference proceedings
描述This book constitutes revised selected papers from the Third International Conference on Information and Communication Technology and Applications, ICTA 2020, held in Minna, Nigeria, in November 2020. Due to the COVID-19 pandemic the conference was held online.?.The 67 full papers were carefully reviewed and selected from 234 submissions. The papers are organized in the topical sections on Artificial Intelligence, Big Data and Machine Learning;?Information Security Privacy and Trust;?Information Science and Technology..
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; communication channels (information theory); communication systems; computer h
版次1
doihttps://doi.org/10.1007/978-3-030-69143-1
isbn_softcover978-3-030-69142-4
isbn_ebook978-3-030-69143-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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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
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發(fā)表于 2025-3-22 00:33:24 | 只看該作者
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
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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
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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
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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
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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
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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
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