Detecting Outliers in Non-IID Data: A Systematic Literature Review
Outlier detection (outlier and anomaly are used interchangeably in this review) in non-
independent and identically distributed (non-IID) data refers to identifying unusual or …
independent and identically distributed (non-IID) data refers to identifying unusual or …
Quantifying the benefits of PV module shading for building heat gain reduction: A machine learning approach
S Bubpharam, D Chenvidhya, S Chuangchote… - Sustainable Energy …, 2023 - Elsevier
This study investigates the indirect benefit due to the shading effect from PV rooftop systems
installed on building envelopes by proposing a new method based on a machine-learning …
installed on building envelopes by proposing a new method based on a machine-learning …
Analysis of health informatics and bioinformatics connectivity modeling.
W Yang, X Zhang, X Yang - Journal of Commercial …, 2022 - search.ebscohost.com
Health informatics and bioinformatics are closely linked, but the overlapping literature
search rate of the analysis methods needs to be higher due to the connectivity analysis …
search rate of the analysis methods needs to be higher due to the connectivity analysis …
[PDF][PDF] Detecting Outliers in Non-IID Data: A Systematic
Outlier detection (outlier and anomaly are used interchangeably in this review) in
nonindependent and identically distributed (non-IID) data refers to identifying unusual or …
nonindependent and identically distributed (non-IID) data refers to identifying unusual or …