squander
发表于 2025-3-25 03:39:49
Population Classification upon Dietary Data Using Machine Learning Techniques with IoT and Big Dataformats. This data with the traits say volume, velocity, variety and so on referred to as big data. Since a decade, big data technologies have been utilized in most of the companies even in healthcare alongside IoT to gain treasured insights in making knowledgeable selections spontaneously to improv
不舒服
发表于 2025-3-25 09:40:03
Investigating Recommender Systems in OSNs,ze networks amongst operators also creates references for a user founded on user’s assessments which effect indirect-direct socialize relationships with the specified user. A recommender system is a software system meant to make recommendations. Today Recommender based systems are attractive chosen
无畏
发表于 2025-3-25 15:14:38
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舞蹈编排
发表于 2025-3-25 18:39:27
A Framework for Sentiment Analysis Based Recommender System for Agriculture Using Deep Learning Appsitive, negative or neutral. Performing Sentiment analysis with extracted micro-blogging text from social networking sites and analyzing the text after application of sentiment analysis are considered challenging tasks. This paper proposes a model based on deep learning approach to perform sentiment
注意
发表于 2025-3-25 19:58:48
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巨大没有
发表于 2025-3-26 03:06:06
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Tempor
发表于 2025-3-26 04:21:06
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Neutropenia
发表于 2025-3-26 09:54:54
Research Challenges in Big Data Solutions in Different Applications,s like social media, sensors, machines, etc. To get vital information, it is very important that the data should get processed in very smart and intelligent way. Traditional approach of processing data is not capable of processing the humongous data generated these days. So to overcome the problem o
Derogate
发表于 2025-3-26 15:52:00
2191-530X ocial network strategies and the development of services using different computing models. Moreover, the book investigates how OSNs are impacted by cutting-edge innovations..978-981-13-1455-1978-981-13-1456-8Series ISSN 2191-530X Series E-ISSN 2191-5318
obviate
发表于 2025-3-26 18:21:27
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