Final Project for IoT: Big Data Processing and Analytics class. Analyzing U.S nationwide temperature from IoT sensors in real-time
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Updated
Nov 21, 2016 - Python
Final Project for IoT: Big Data Processing and Analytics class. Analyzing U.S nationwide temperature from IoT sensors in real-time
The new IoT Office Experience.
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
Yacht-computer
AutoDev is a solution for managing IoT sensors on mobile vehicles
Demonstration of Man-in-the-middle attack on NodeMCU-Esp8266 microcontroller
A simple implementation of an IoT platform using esp-idf. Including Sensors, Gateway, and a Server.
ESP8266 and MicroPython web server to monitor a hall effect water sensor
Meet the humble irrigation system that keeps your plants happy and hydrated! With real-time air data, water level LEDs showing how full your tank is, and cloud connectivity for remote monitoring, it’s got your watering needs covered—no more guessing, overwatering, or dehydration!
A small Raspberry Pi IoT-project using Adafruit IO Dashboard, MCP3008 ADC and DHT11-sensor.
Companion code for Aerospike Modeling: IoT Sensors
ESP32 Board communicating with a BME680 breakout over I2C and publishing environmental data to an MQTT broker.
An ongoing & curated collection of awesome software best practices and techniques, libraries and frameworks, E-books and videos, websites, blog posts, links to github Repositories, technical guidelines and important resources about Internet of Things (IoT) in Cybersecurity
Quickest way to fetch and publish data from IoT sensors
Official implementation of our research paper. DOI: 10.1109/JIOT.2024.3360882
Gazis A., Katsiri E., "Smart Home IoT Sensors: Principles and Applications - A Review of Low-Cost and Low-Power Solutions", International Journal on Engineering Technologies and Informatics (IJETI), vol. 2, issue 1, pp. 19‒22, February 2021, DOI: 10.51626/ijeti.2021.02.00007.
Urban Data Platform implementation for the Helsinki Pilot
This notebook showcases a complete machine learning workflow—from data preprocessing to model evaluation—for a binary classification task. It includes key techniques like feature scaling, handling class imbalance, and threshold tuning to improve prediction accuracy.
IoT based Pollution Detecting system using Arduino and android native application
Transforming an old iRobot 561 Roomba into a dynamic, mobile scarecrow
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