A review of machine learning in building load prediction

L Zhang, J Wen, Y Li, J Chen, Y Ye, Y Fu, W Livingood - Applied Energy, 2021 - Elsevier
The surge of machine learning and increasing data accessibility in buildings provide great
opportunities for applying machine learning to building energy system modeling and …

A comprehensive review of dimensionality reduction techniques for feature selection and feature extraction

R Zebari, A Abdulazeez, D Zeebaree, D Zebari… - Journal of Applied …, 2020 - jastt.org
Due to sharp increases in data dimensions, working on every data mining or machine
learning (ML) task requires more efficient techniques to get the desired results. Therefore, in …

A review of principal component analysis algorithm for dimensionality reduction

BMS Hasan, AM Abdulazeez - Journal of Soft Computing …, 2021 - publisher.uthm.edu.my
Big databases are increasingly widespread and are therefore hard to understand, in
exploratory biomedicine science, big data in health research is highly exciting because data …

[HTML][HTML] Fine-tuned DenseNet-169 for breast cancer metastasis prediction using FastAI and 1-cycle policy

A Vulli, PN Srinivasu, MSK Sashank, J Shafi, J Choi… - Sensors, 2022 - mdpi.com
Lymph node metastasis in breast cancer may be accurately predicted using a DenseNet-
169 model. However, the current system for identifying metastases in a lymph node is …

[HTML][HTML] Surgical data science–from concepts toward clinical translation

L Maier-Hein, M Eisenmann, D Sarikaya, K März… - Medical image …, 2022 - Elsevier
Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

Neural network-based model predictive control system for optimizing building automation and management systems of sports facilities

M Elnour, Y Himeur, F Fadli, H Mohammedsherif… - Applied Energy, 2022 - Elsevier
Sports facilities are considered complex buildings due to their high energy demand and
occupancy profiles. Therefore, their management and optimization are crucial for reducing …

Comparison of text preprocessing methods

CP Chai - Natural Language Engineering, 2023 - cambridge.org
Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

A review of keyphrase extraction

E Papagiannopoulou… - … Reviews: Data Mining …, 2020 - Wiley Online Library
Keyphrase extraction is a textual information processing task concerned with the automatic
extraction of representative and characteristic phrases from a document that express all the …

[图书][B] Modern information retrieval

R Baeza-Yates, B Ribeiro-Neto - 1999 - people.ischool.berkeley.edu
Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

Integration of BIM and GIS: Geometry from IFC to shapefile using open-source technology

J Zhu, X Wang, P Wang, Z Wu, MJ Kim - Automation in Construction, 2019 - Elsevier
Abstract Integration of Building Information Modeling (BIM) and Geographic Information
System (GIS) largely relies on data exchange between the two systems. However, the usual …