IoT BASED AIR AND SOUND POLLUTION MONITIORING SYSTEM USING MACHINE LEARNING ALGORITHMS
نویسندگان
چکیده
منابع مشابه
IoT based Agro Automation System using Machine Learning Algorithms
The needs and necessities of an agro automation system in large scale applications for monitoring various parameters are on a rise. The overview of all core challenges faced by the farmers can highly be overcome with the proposed 'IoT based Agro Automation System using Machine Learning Algorithms' which is established through multiple sensor fusion with the affirmation of results in a hybrid ap...
متن کاملMachine learning algorithms in air quality modeling
Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...
متن کاملIoT Security Techniques Based on Machine Learning
Internet of things (IoT) that integrate a variety of devices into networks to provide advanced and intelligent services have to protect user privacy and address attacks such as spoofing attacks, denial of service attacks, jamming and eavesdropping. In this article, we investigate the attack model for IoT systems, and review the IoT security solutions based on machine learning techniques includi...
متن کاملBody Mass Index Classification based on Facial Features using Machine Learning Algorithms for utilizing in Telemedicine
Background and Objectives: Due to the impact of controlling BMI on life, BMI classification based on facial features can be used for developing Telemedicine systems and eliminating the limitations of measuring tools, especially for paralyzed people. So that physicians can help people online during the Covid-19 pandemic. Method: In this study, new features and some previous work features were e...
متن کاملCloud and IoT based Smart Car Parking System by using Mamdani Fuzzy Inference System (MFIS)
Internet of Things (IoT) and cloud computing technologies have connected the infrastructure of the city to make the context-aware and more intelligent city for utility its major resources. These technologies have much potential to solve thechallenges of urban areas around the globe to facilitate the citizens. A framework model that enables the integration of sensor’s data and analysis of ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: March 2020
سال: 2020
ISSN: 2582-1369
DOI: 10.36548/jismac.2020.1.002