Precise Water Leak Detection Using Machine Learning and Real-Time Sensor Data

Detection of Fuel Adulteration in Real Time Using Optical Fiber Sensor and Peripheral Interface Controller

Detection of fuel adulteration in real time is the most important need of the world as it generates the hazardous effects on the environment, living and nonliving things. Various automotive users and fuel providers may mix kerosene in petrol and diesel. Adulterated fuel increases air pollution, as well as reduces the performance of vehicle engines. Such a malpractice in fuel is prevailing becau...

Adaptive Real-time Anomaly-based Intrusion Detection using Data Mining and Machine Learning Techniques

Real-time Scheduling of a Flexible Manufacturing System using a Two-phase Machine Learning Algorithm

The static and analytic scheduling approach is very difficult to follow and is not always applicable in real-time. Most of the scheduling algorithms are designed to be established in offline environment. However, we are challenged with three characteristics in real cases: First, problem data of jobs are not known in advance. Second, most of the shop’s parameters tend to be stochastic. Third, th...

Real-time detection of wildlife using NOAA/AVHRR data Study area :(Kayamaki Wildlife Refuge)

Forest fire in recent years has paid great attention to climate change and ecosystems. Remote sensing is a quick and inexpensive way to detect and monitor forest fires on a large scale. The purpose of this study was to identify forest and rangeland fire hazards using NOAA / AVHRR in Kayamaki Wildlife Refuge. For the purpose of this study, the history of the fire-burns occurred in MODIS products...

Machine Learning Approach for Anomaly Detection in Wireless Sensor Data

Wireless sensor nodes can experience faults during deployment either due to its hardware malfunctioning or software failure or even harsh environmental factors and battery failure. This results into presence of anomalies in their time-series collected data. So, these anomalies demand for reliable detection strategies to support in long term and/or in large scale WSN deployments. These data of p...