Deep learning paradigm for cardiovascular disease/stroke risk stratification in Parkinson's disease affected by COVID-19: a narrative review

JS Suri, MA Maindarkar, S Paul, P Ahluwalia… - Diagnostics, 2022 - mdpi.com
Background and Motivation: Parkinson's disease (PD) is one of the most serious, non-
curable, and expensive to treat. Recently, machine learning (ML) has shown to be able to …

[PDF][PDF] Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction.

YB Wah, A Ismail, N Azid, N Niswah… - … , Materials & Continua, 2023 - researchgate.net
Prediction of machine failure is challenging as the dataset is often imbalanced with a low
failure rate. The common approach to handle classification involving imbalanced data is to …

Internet of Things in Water Distribution Systems

AA Alkuwaiti, M Al Mubarak - Social Responsibility, Technology and …, 2024 - emerald.com
This chapter aims to identify the important role of using the Internet of Things (IoT)
technology in water distribution systems. It focuses on the features of this technology and …

A Hierarchical Network with Fault Tolerance by a Multi-Factor Method for Neighborhood Area Network in Smart Grid

J Du, X Li, J He - Sensors, 2022 - mdpi.com
The neighborhood area network of a smart grid usually has hierarchical wireless
communication. Due to forwarding and processing more data, the upper-layer nodes are …

[PDF][PDF] MEANS AND METHODS OF COLLECTING INDICATORS FOR ENERGY SUPPLY COMPANIES

RK PavloFedak, P Tomiło - 2024 - science.lpnu.ua
This study provides a comprehensive overview of the various means and methods
employed in gathering data, emphasizing the need for advanced technologies in the face of …

ECLSTM: An Efficient Channel Attention-based Spatio-temporal Fusion Method for Fault Detection of Instruments

S Dou, Z Fan, Y Yang, J Qin, L Li… - 2023 IEEE 2nd …, 2023 - ieeexplore.ieee.org
The instrument fault detection has the problems of incomplete temporal and spatial feature
extraction and poor feature expression ability of instrument data. To solve the above …

Big data analytics na gestão de uma rede de distribuição de água

JMG Alves - 2022 - repositorio.iscte-iul.pt
A água é um bem essencial e escasso nos dias de hoje, pelo que é necessário conservá-lo
e distribuí-lo de maneira eficiente e sustentável. Com a ajuda dos novos medidores digitais …

[引用][C] 수도미터AMI 데이터에서Transformer 기반모델들과Linear 기반모델들의장기시계열예측성능분석

진성원, 이재승, 김지범 - 한국정보과학회학술발표논문집, 2023 - dbpia.co.kr
요 약본 논문에서는 실제 원격 수도 미터 검침기들에서 수집된 advanced metering
infrastructure (AMI) 데이터를 사용하여 long-term time series forecasting (LTSF) 문제를 …