Results 141 to 150 of about 3,621 (255)

Smart Distribution Boards (Smart DB), Non-Intrusive Load Monitoring (NILM) for Load Device Appliance Signature Identification and Smart Sockets for Grid Demand Management. [PDF]

Sensors (Basel), 2020
Kerk SG, Hassan NU, Yuen C.
europepmc   +1 more source

Influence of Viscous Dissipation on Wear Behavior and Hardness Evolution of Tool Steels in Glass‐Fiber‐Reinforced Polymer Processing

steel research international, EarlyView.
Tool steels tested under injection molding conditions with glass‐fiber‐reinforced polymers, revealing how viscous dissipation drives hardness loss, even in PM grades. A sharp rise in wear with increasing injection volume rate and thermomechanical load uncovers striking material differences.
David Zidar, Roman Staudigl, Walter Friesenbichler, Clemens Holzer   +3 more
wiley   +1 more source

Federated learning-enhanced generative models for non-intrusive load monitoring in smart homes. [PDF]

Sci Rep
Lu Y, Xu S, Liu Y, Jiang X.
europepmc   +1 more source

Business Case for Non-Intrusive Load Monitoring

, 2020
Energy Academic Group (EAG ...
openaire   +1 more source

Low-Frequency Unsupervised Non-Intrusive Load Monitoring for Industrial Loads

, 2023
The industrial sector is responsible for a large share of global energy consumption. Lowering energy consumption in the industrial sector can reduce the rate and severity of future climate change impacts on people and ecosystems. Non-Intrusive Load Monitoring (NILM) techniques can disaggregate a facility’s power consumption into the individual loads ...
openaire   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

A resource-efficient machine learning framework for real-time non-intrusive load monitoring and performance optimization in solar-powered aviation systems. [PDF]

Sci Rep
Echarif AM, Che Y, Aouiche EM, Bourezg A, Yousaf MZ, Khan W, Bajaj M, Rubanenko O.   +7 more
europepmc   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Federated learning-based non-intrusive load monitoring adaptive to real-world heterogeneities. [PDF]

Sci Rep
Luo Q, Lan C, Yu T, Liang M, Xiao W, Pan Z.   +5 more
europepmc   +1 more source

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source