NILM applications: Literature review of learning approaches, recent developments and challenges
This paper presents a critical approach to the non-intrusive load monitoring (NILM) problem,
by thoroughly reviewing the experimental framework of both legacy and state-of-the-art …
by thoroughly reviewing the experimental framework of both legacy and state-of-the-art …
Construction 4.0 technologies and applications: A systematic literature review of trends and potential areas for development
Purpose Based on the systematic literature review, this paper aims to propose a framework
of Construction 4.0 (C4. 0) scenarios, identifying Industry 4.0 (I4. 0) enabling technologies …
of Construction 4.0 (C4. 0) scenarios, identifying Industry 4.0 (I4. 0) enabling technologies …
Predicting residential energy consumption using CNN-LSTM neural networks
The rapid increase in human population and development in technology have sharply
raised power consumption in today's world. Since electricity is consumed simultaneously as …
raised power consumption in today's world. Since electricity is consumed simultaneously as …
Predicting household electric power consumption using multi-step time series with convolutional LSTM
Energy consumption prediction has become an integral part of a smart and sustainable
environment. With future demand forecasts, energy production and distribution can be …
environment. With future demand forecasts, energy production and distribution can be …
Non-invasive driver drowsiness detection system
Drowsiness when in command of a vehicle leads to a decline in cognitive performance that
affects driver behavior, potentially causing accidents. Drowsiness-related road accidents …
affects driver behavior, potentially causing accidents. Drowsiness-related road accidents …
A NILM algorithm with enhanced disaggregation scheme under harmonic current vectors
In the smart home context, one of the features that most users would desire is the knowledge
of the operation of each electrical appliance without the need to install expensive smart …
of the operation of each electrical appliance without the need to install expensive smart …
Respiration based non-invasive approach for emotion recognition using impulse radio ultra wide band radar and machine learning
Emotion recognition gained increasingly prominent attraction from a multitude of fields
recently due to their wide use in human-computer interaction interface, therapy, and …
recently due to their wide use in human-computer interaction interface, therapy, and …
Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders
Lower limb disorders are a substantial contributor to both disability and lower standards of
life. The prevalent disorders affecting the lower limbs include osteoarthritis of the knee, hip …
life. The prevalent disorders affecting the lower limbs include osteoarthritis of the knee, hip …
Residential electrical load monitoring and modeling–state of the art and future trends for smart homes and grids
Building energy consumption accounts for a large fraction of the total global energy usage,
and considerable energy savings are expected to be achieved in this respect through …
and considerable energy savings are expected to be achieved in this respect through …
Respiration-based COPD detection using UWB radar incorporation with machine learning
COPD is a progressive disease that may lead to death if not diagnosed and treated at an
early stage. The examination of vital signs such as respiration rate is a promising approach …
early stage. The examination of vital signs such as respiration rate is a promising approach …