Results 91 to 100 of about 7,383 (190)
Joint Interference Alignment and Bi-Directional Scheduling for MIMO Two-Way Multi-Link Networks
By means of the emerging technique of dynamic Time Division Duplex (TDD), the switching point between uplink and downlink transmissions can be optimized across a multi-cell system in order to reduce the impact of inter-cell interference.
Fouladgar, A. M. +4 more
core +1 more source
Cytologic DNA methylation for managing minimally abnormal cervical cancer screening results
Abstract Objectives To explore the role of a DNA methylation assay for managing minimally abnormal cervical cancer screening results in a prospective cohort undergoing opportunistic cervical cancer screening. Methods In the cohort of the METHY2 and METHY3 screening studies of women undergoing opportunistic cervical cancer screening, cervical cytology ...
Xiao Shang +8 more
wiley +1 more source
Abstract Background Hepatocyte nuclear factor 4 alpha (HNF4α) contributes to tumorigenesis and cancer progression. This study evaluated the diagnostic potential of HNF4α for detecting endocervical glandular lesions (EGLs), including endocervical adenocarcinomas (ECAs), adenocarcinomas in situ (AIS), and lobular endocervical glandular hyperplasias (LEGH)
Yuri Noda +3 more
wiley +1 more source
Improving Event-Based Non-Intrusive Load Monitoring Using Graph Signal Processing
Large-scale smart energy metering deployment worldwide and integration of smart meters within the smart grid will enable two-way communication between the consumer and energy network, thus ensuring improved response to demand.
Bochao Zhao +3 more
doaj +1 more source
Benchmarking Active Learning for NILM
Non-intrusive load monitoring (NILM) focuses on disaggregating total household power consumption into appliance-specific usage. Many advanced NILM methods are based on neural networks that typically require substantial amounts of labeled appliance data, which can be challenging and costly to collect in real-world settings. We hypothesize that appliance
Patel, Dhruv +4 more
openaire +2 more sources
Data Requirements for Applying Machine Learning to Energy Disaggregation
Energy disaggregation, or nonintrusive load monitoring (NILM), is a technology for separating a household’s aggregate electricity consumption information.
Changho Shin +3 more
doaj +1 more source
Aim. To study the types of vaginal microbial communities in women with high-grade squamous intraepithelial lesion (HSIL) and those negative for intraepithelial lesion or malignancy (NILM).Materials and Methods.
E. F. Kira +3 more
doaj +1 more source
DSUALMH- A new high-resolution dataset for NILM
The optimisation of energy consumption requires a reasonably accurate measurement, so an appropriate and advanced monitoring system of the relevant electrical variables in the electrical installations is of paramount importance. In this context, interoperable and highly configurable devices play a crucial role.
Rodríguez-Navarro, C. +5 more
openaire +2 more sources
The imbalance of power supply and demand is an important problem to solve in power industry and Non Intrusive Load Monitoring (NILM) is one of the representative technologies for power demand management.
Jin-Gyeom Kim, Bowon Lee
doaj +1 more source
Non-intrusive load monitoring (NILM) not only makes the flow of electric energy transparent but also simplifies the installation process of smart meters, effectively reducing the cost of load monitoring.
XING Haiqing +4 more
doaj +1 more source

