insomnia
发表于 2025-3-26 21:12:56
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Delectable
发表于 2025-3-27 04:46:50
Base for Trust Score Estimation for Device to Device Communication in Internet of Thing Using Fuzzy needs of human beings. Every day IoT devices are touching human life from CCTV to light sensor to smoke sensor etc. This devices communicate among themself or each other. There are many issues in the communication of IoT devices such as security, Privacy, Access control, identity management, etc. on
Abrade
发表于 2025-3-27 06:04:31
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脆弱吧
发表于 2025-3-27 13:09:30
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警告
发表于 2025-3-27 13:45:04
Farmer-Assistive Chatbot in Indian Context Using Learning Techniques country’s population. The low performance economically is primarily because of a lack of proper information and resources to obtain genuine information. The farmers’ queries are hardly solved and heard by the concerned individuals thus leading to chaos and confusion in their minds regarding their f
boisterous
发表于 2025-3-27 19:58:02
2198-4182 takeholders.Serves as a reference guide for researchers and .This book extends the work from introduction of ubiquitous computing, to the Internet of things to security and to privacy aspects of ubiquitous computing. The uniqueness of this book is the combination of important fields like the Interne
palpitate
发表于 2025-3-28 01:14:09
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RUPT
发表于 2025-3-28 04:12:52
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alliance
发表于 2025-3-28 08:11:30
Sarcasm Detection in Online Social Network: Myths, Realities, and Issuesions. Sarcasm detection systems use different types of techniques such as Rule-Based Approach, Pattern-Based Approach, Machine Learning Approach, and Context-Based Approach. The system analyzes sarcasm detection on the Twitter dataset by using Techniques such as Support Vector Machine, Random Forest, Naïve Bayes, and Maximum Entropy.
背心
发表于 2025-3-28 13:38:26
Farmer-Assistive Chatbot in Indian Context Using Learning Techniquesinguistic. We use the dataset from Kisan Call Centre to train the chatbot. We use the k-Nearest Neighbors algorithm and sequence-to-sequence framework to enable Natural Language Processing as well as Natural Language Generation. Farmers will get real-time answers to their questions through our system assisted by Machine Learning.