Results 21 to 30 of about 466,753 (264)

Regional VOCs Gathering Situation Intelligent Sensing Method Based on Spatial-Temporal Feature Selection

Atmosphere, 2022
As VOCs pose a threat to human health, it is important to accurately capture changes in VOCs concentrations and sense VOCs concentrations in relevant areas.
Hongbin Dai, Guangqiu Huang, Jingjing Wang, Huibin Zeng, Fangyu Zhou   +4 more
doaj   +1 more source

A generalised model of judgment aggregation [PDF]

Social Choice and Welfare, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Aggregation modeling of the influence of pH on the aggregation of variably charged nanoparticles

Scientific Reports, 2021
The aggregation of variably charged nanoparticles is usually induced by the changes in internal and external conditions, such as solution temperature, pH, particle size, van der Waals force, and electrostatic repulsion among particles.
Yu Xiong, Xinmin Liu, Hailing Xiong
doaj   +1 more source

Improved buffalo optimized deep feed forward neural learning based multipath routing for energy efficient data aggregation in WSN

Measurement: Sensors, 2023
Wireless sensor networks comprised inadequate computational power and memory for application developers.Data aggregation is the method of gathering the useful information. Data aggregation is the new process for reducing the energy consumption.
S. Sheeja Rani, K. Siva Sankar
doaj   +1 more source

Model for amorphous aggregation processes [PDF]

Physical Review E, 2009
The amorphous aggregation of proteins is associated with many phenomena, ranging from the formation of protein wine haze to the development of cataract in the eye lens and the precipitation of recombinant proteins during their expression and purification.
Stranks, S., Ecroyd, H., Sluyter, S., Waters, E., Carver, J., Von Smekal, L.   +5 more
openaire   +3 more sources

Federated Learning: A Survey of Core Challenges, Current Methods, and Opportunities

Computers
Federated learning (FL) has emerged as a transformative distributed learning paradigm that enables collaborative model training without sharing raw data, thereby preserving privacy across large, diverse, and geographically dispersed clients.
Madan Baduwal, Priyanka Paudel, Vini Chaudhary   +2 more
doaj   +1 more source

Robust Client Selection Strategy Using an Improved Federated Random High Local Performance Algorithm to Address High Non-IID Challenges

Algorithms
This paper introduces an improved version of the Federated Random High Local Performance (Fed-RHLP) algorithm, specifically aimed at addressing the difficulties posed by Non-IID (Non-Independent and Identically Distributed) data within the context of ...
Pramote Sittijuk, Narin Petrot, Kreangsak Tamee   +2 more
doaj   +1 more source

Aggregation of Type-4 Large Wind Farms Based on Admittance Model Order Reduction

Energies, 2019
This paper presents an aggregation technique based on the resolution of a multi-objective optimization problem applied to the admittance model of a wind power plant (WPP).
Jaime Martínez-Turégano, Salvador Añó-Villalba, Soledad Bernal-Perez, Ramon Blasco-Gimenez   +3 more
doaj   +1 more source

Deep federated learning: a systematic review of methods, applications, and challenges

Frontiers in Computer Science
Federated Learning (FL) represents a paradigm shift in machine learning, enabling collaborative model training on decentralized data while preserving user privacy.
Lakshan Cooray, Janaka Sendanayake, Pramuditha Vithanaarachchi, Y. H. P. P. Priyadarshana   +3 more
doaj   +1 more source

Study of Reversible Platelet Aggregation Model by Nonlinear Dynamics

Mathematics, 2021
Blood cell platelets form aggregates upon vessel wall injury. Under certain conditions, a disintegration of the platelet aggregates, called “reversible aggregation”, is observed in vitro.
Grigorii A. Vasilev, Aleksandra A. Filkova, Anastasia N. Sveshnikova   +2 more
doaj   +1 more source