Results 51 to 60 of about 1,970,939 (305)

Development of Lifetime Prediction Model of Lithium-Ion Battery Based on Minimizing Prediction Errors of Cycling and Operational Time Degradation Using Genetic Algorithm [PDF]

Journal of Renewable Energy and Environment, 2018
Accurate lifetime prediction of lithium-ion batteries is a great challenge for the researchers and engineers involved in battery applications in electric vehicles and satellites.
Mohammad Zarei-Jelyani, Mohammad Sarshar, Mohsen Babaiee, Nima Tashakor   +3 more
doaj   +1 more source

The query based learning system for lifetime prediction of metallic components [PDF]

, 2008
This research project was a step forward in developing an efficient data mining method for estimating the service life of metallic components in Queensland school buildings.
Ge, Esther
core  

The microbiome in human skin aging

FEBS Letters, EarlyView.
Age‐related skin changes encompass the well‐known visible phenotypic alterations, together with microbiome dysbiosis and a series of molecular aging hallmarks. These hallmarks characterize not only a fully stablished aged phenotype but also the skin aging process itself.
Manuel Huerta Arana, Cornelia Wiegand, Omid Omrani, Mario Fabri   +3 more
wiley   +1 more source

Cross‐Scale Decoupling Kinetic Processes in Lithium‐Ion Batteries Using the Multi‐Dimensional Distribution of Relaxation Time

Advanced Science
To non‐destructively resolve and diagnose the degradation mechanisms of lithium‐ion batteries (LIBs), it is necessary to cross‐scale decouple complex kinetic processes through the distribution of relaxation times (DRT). However, LIBs with low interfacial
Xue Cai, Caiping Zhang, Haijun Ruan, Zeping Chen, Linjing Zhang, Dirk Uwe Sauer, Weihan Li   +6 more
doaj   +1 more source

Synthesis, Crystal Structure and Properties of Iron Bisdicyanamide (Fe[N(CN)₂]₂) and Iron Diammin Bisdicyanamide (Fe[NH₃]₂[N(CN)₂]₂)

Inorganics
The phase-pure syntheses of Fe(dca)2 and Fe(dca)2(NH3)2 have enabled comprehensive investigation of their structural and magnetic properties. Fe(dca)2 crystallizes in the orthorhombic space group Pnnm, with Fe2+ ions octahedrally coordinated by six dca ...
Laura Henrich, Aylin Koldemir, Jan Hempelmann, Jan van Leusen, Rainer Pöttgen, Andreas Houben, Richard Dronskowski, Egbert Figgemeier   +7 more
doaj   +1 more source

Consistent Time-to-Failure Tests and Analyses of Adhesive Anchor Systems

Applied Sciences, 2020
Motivated by tunnel accidents in the recent past, several investigations into the sustained load behavior of adhesive anchors have been initiated. Nevertheless, the reliable lifetime prediction of bonded anchor systems based on a relatively short testing
Krešimir Ninčević, Ioannis Boumakis, Stefan Meissl, Roman Wan-Wendner   +3 more
doaj   +1 more source

On the Predictability of Link Lifetimes in Urban MANETs [PDF]

Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt'05), 2005
Link lifetime prediction is occurs frequently in MANET routing protocols. For example, in assigning cache timeout values and route durations, routing protocols make implicit predictions of link lifetime. Some protocols even make explicit predictions. In this paper the predictability of residual link lifetimes is examined.
Stephan Bohacek, Andjela Ilic, Vinay Sridhara   +2 more
openaire   +2 more sources

Invisible but not inaccessible—Revealing transient oligomers formed by intrinsically disordered proteins with solution NMR and complementary methods

FEBS Letters, EarlyView.
Transient oligomers formed by intrinsically disordered proteins may be ‘invisible’ to direct detection yet remain accessible to solution NMR through equilibrium‐exchange measurements and pressure‐jump experiments. Complementary methods report on mass, stoichiometry, selected distance distributions, morphology, and internal packing.
Martin D. Gelenter, Ad Bax
wiley   +1 more source

Domain knowledge integration in data mining for churn and customer lifetime value modelling: new approaches and applications

, 2009
The evaluation of the relationship with the customer and related benefits has become akey point for a company’s competitive advantage. Consequently, interest in keyconcepts, such as customer lifetime value and churn has increased over the years.However ...
de Oliveira Lima, Elen
core   +1 more source

Machine learning for battery quality classification and lifetime prediction using formation data

Energy and AI
Accurate classification of battery quality and prediction of battery lifetime before leaving the factory would bring economic and safety benefits. Here, we propose a data-driven approach with machine learning to classify the battery quality and predict ...
Jiayu Zou, Yingbo Gao, Moritz H. Frieges, Martin F. Börner, Achim Kampker, Weihan Li   +5 more
doaj   +1 more source