Machine Learning Modeling for Accelerated Battery Materials Design in the Small Data Regime
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Energy Materials"
DOI: 10.1002/aenm.202200553
Abstract: Machine learning (ML)‐based approaches to battery design are relatively new but demonstrate significant promise for accelerating the timeline for new materials discovery, process optimization, and cell lifetime prediction. Battery modeling represents an interesting and unconventional… read more here.
Keywords: small data; battery; data regime; machine learning ... See more keywords
A transfer learning approach for predictive modelling of bioprocesses using small data.
Sign Up to like & getrecommendations! Published in 2021 at "Biotechnology and bioengineering"
DOI: 10.1002/bit.27980
Abstract: Predictive modelling of new biochemical systems with small data is a great challenge. To fill this gap, transfer learning, a subdomain of machine learning that serves to transfer knowledge from a generalised model to a… read more here.
Keywords: transfer learning; small data; transfer; approach ... See more keywords
Global Existence of Small Data Solutions to Semi-linear Fractional $$\sigma $$-Evolution Equations with Mass and Nonlinear Memory
Sign Up to like & getrecommendations! Published in 2020 at "Mediterranean Journal of Mathematics"
DOI: 10.1007/s00009-020-01573-9
Abstract: In this paper we study the global (in time) existence of small data solutions to semi-linear fractional $$\sigma -$$ evolution equations with mass and nonlinear memory. Our main goals was to explain on the one… read more here.
Keywords: semi linear; existence small; small data; solutions semi ... See more keywords
A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of petrochemical industries
Sign Up to like & getrecommendations! Published in 2017 at "Applied Energy"
DOI: 10.1016/j.apenergy.2017.04.007
Abstract: Due to the imbalanced and uncompleted characteristics of complex petrochemical small datasets, it is a challenge to build an accurate prediction and optimization model of energy consumption of petrochemical systems. Therefore, this paper proposes a… read more here.
Keywords: virtual sample; sample generation; energy; small data ... See more keywords
Small data solutions for the Euler-Poisson-Darboux equation with a power nonlinearity
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Differential Equations"
DOI: 10.1016/j.jde.2021.03.033
Abstract: Abstract We study the Cauchy problem for the Euler-Poisson-Darboux equation, with a power nonlinearity: u t t − u x x + μ t u t = t α | u | p , t… read more here.
Keywords: euler poisson; small data; poisson darboux; power ... See more keywords
The potential contribution of bloggers to change lifestyle and reduce plastic use and pollution: A small data approach.
Sign Up to like & getrecommendations! Published in 2021 at "Marine pollution bulletin"
DOI: 10.1016/j.marpolbul.2021.112525
Abstract: Awareness raising and public engagement are key steps towards the reduction of demand, use and pollution related to plastic in everyday life. However, people not already active in this respect, nor seeking information about, may… read more here.
Keywords: plastic; use pollution; pollution; small data ... See more keywords
Local well-posedness and small data scattering for energy super-critical nonlinear wave equations
Sign Up to like & getrecommendations! Published in 2019 at "Applicable Analysis"
DOI: 10.1080/00036811.2019.1616084
Abstract: In this work, we consider the following nonlinear wave equations We prove that when and The Cauchy problem is locally well-posed in with . Moreover, the small data theory holds under the same restriction. read more here.
Keywords: posedness small; well posedness; local well; small data ... See more keywords
Using an attribute conversion approach for sample generation to learn small data with highly uncertain features
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Production Research"
DOI: 10.1080/00207543.2018.1444813
Abstract: Accelerating new product development has become an important marketing strategy for manufacturers who are competing globally. However, this may lead to the small data learning issue. Although machine learning algorithms are used to extract knowledge… read more here.
Keywords: highly uncertain; small data; sample generation; using attribute ... See more keywords
IoT-Based Bacillus Number Prediction in Smart Turmeric Farms Using Small Data Sets
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3222283
Abstract: The Bacillus genus is one of the most commercially exploited bacteria in the agro-biotechnology industry, and the Bacillus information is very useful for crop growth. Most existing studies on the analysis of the amount of… read more here.
Keywords: bacillus; number; prediction; iot based ... See more keywords
UMUcast: A Framework for Massive Small-Data Delivering in Industrial Internet of Things
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2020.3018828
Abstract: As a key infrastructure of Industry 4.0, Industrial Internet-of-Things (IIoT) promises the opportunity to build powerful industrial environments by leveraging the growing ubiquity of wired and wireless communication technologies. Designing a data delivery scheme in… read more here.
Keywords: massive small; framework massive; umucast framework; internet things ... See more keywords
Analyzing Novel Grant-Based and Grant-Free Access Schemes for Small Data Transmission
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2022.3150787
Abstract: Fifth Generation (5G) New Radio (NR) does not support data transmission during random access (RA) procedures, which results in unnecessary control signalling overhead and power consumption, especially for small data transmission (SDT). Motivated by this,… read more here.
Keywords: small data; step; data transmission; grant free ... See more keywords