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 …
A review on semi-supervised clustering
J Cai, J Hao, H Yang, X Zhao, Y Yang - Information Sciences, 2023 - Elsevier
Abstract Semi-supervised clustering (SSC), a technique integrating semi-supervised
learning and clustering analysis, incorporates the given prior information (eg, class labels …
learning and clustering analysis, incorporates the given prior information (eg, class labels …
Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor
Human Activity Recognition (HAR) systems are devised for continuously observing human
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …
Sustainable Development Goal for Quality Education (SDG 4): A study on SDG 4 to extract the pattern of association among the indicators of SDG 4 employing a …
M Saini, E Sengupta, M Singh, H Singh… - Education and Information …, 2023 - Springer
Abstract Sustainable Development Goals (SDG) are at the forefront of government initiatives
across the world. The SDGs are primarily concerned with promoting sustainable growth via …
across the world. The SDGs are primarily concerned with promoting sustainable growth via …
Synergies between urban heat island and heat waves in Seoul: The role of wind speed and land use characteristics
J Ngarambe, J Nganyiyimana, I Kim, M Santamouris… - PLoS …, 2020 - journals.plos.org
The effects of heat waves (HW) are more pronounced in urban areas than in rural areas due
to the additive effect of the urban heat island (UHI) phenomenon. However, the synergies …
to the additive effect of the urban heat island (UHI) phenomenon. However, the synergies …
Characterizing complexity and self-similarity based on fractal and entropy analyses for stock market forecast modelling
Complex systems constitute components that interact with one another and involve
phenomena which are not always easy to understand in terms of their components and …
phenomena which are not always easy to understand in terms of their components and …
Introducing a novel approach in one-step ahead energy load forecasting
Energy sector stakeholders, such as Distribution System Operators (DSO) or Aggregators
take advantage of improved forecasting methods. Increased forecasting accuracy facilitates …
take advantage of improved forecasting methods. Increased forecasting accuracy facilitates …
A complete proposed framework for coastal water quality monitoring system with algae predictive model
NAP Rostam, NHAH Malim, R Abdullah… - IEEE …, 2021 - ieeexplore.ieee.org
An end-to-end process to achieve a complete framework methodology for Harmful Algal
Bloom (HAB) growth prediction is crucial for water management, especially in implementing …
Bloom (HAB) growth prediction is crucial for water management, especially in implementing …
Multistage model for accurate prediction of missing values using imputation methods in heart disease dataset
When machine learning is used for the design of a prediction model in medical science, then
higher accuracy is essential. It becomes difficult to achieve higher accuracy due to …
higher accuracy is essential. It becomes difficult to achieve higher accuracy due to …
A forecasting method for non-equal interval time series based on recurrent neural network
X Liu, H Du, J Yu - Neurocomputing, 2023 - Elsevier
Unknown data can be forecast by learning the patterns of change from the historical data at
regular intervals. However, when samples are not available at a regular interval, the …
regular intervals. However, when samples are not available at a regular interval, the …