Results 101 to 110 of about 95,377 (221)

Machine learning predictions from unpredictable chaos. [PDF]

J R Soc Interface
Jiang J, Chen L, Ke L, Dou B, Zhu Y, Shi Y, Qiu H, Zhang BG, Zhou T, Wei GW.   +9 more
europepmc   +1 more source

Digital Twin‐Based Optimization of Service Availability in LEO Mega Constellations Considering Handover Delays in Open RAN

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT As non‐terrestrial networks (NTNs) become integral to future 6G systems, ensuring seamless connectivity and service continuity over low Earth orbit (LEO) satellite constellations is essential. This work investigates the impact of open radio access network (RAN) functional splits on handover performance in NTNs, focusing on minimizing service ...
Siva Satya Sri Ganesh Seeram, Luca Feltrin, Mustafa Ozger, Cicek Cavdar   +3 more
wiley   +1 more source

Simplex polynomial in complex networks and its applications to compute the Euler characteristic. [PDF]

Front Comput Neurosci
Wang Z, Fu X, Deng B, Chen Y, Zhao H.
europepmc   +1 more source

Biotechnical Multiscale Engineering of Scaffolds for Stem Cell and Organoid Research

Small, EarlyView.
Biotechnical multiscale engineering consideration of geometric and structural parameters, which is called biotechnical multiscale engineering, has an influence on stem cell development and organogenesis comparable to that of molecular genetics and biochemical parameters.
Merle‐Johanna Küstner, Christian Marx, Peter beim Graben, Serafim Rodrigues, Jörg Hampl, Frank Weise, Michael Gebinoga, Leon Kaysan, Maren Klett, Dana Brauer, Gregor Schlingloff, Doris Heinrich, Insa Sigrid Schroeder, Andreas Schober   +13 more
wiley   +1 more source

Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. [PDF]

Mach Learn Sci Technol
Papillon M, Sanborn S, Mathe J, Cornelis L, Bertics A, Buracas D, J Lillemark H, Shewmake C, Dinc F, Pennec X, Miolane N.   +10 more
europepmc   +1 more source

Conformational bifurcation drives dual transport regimes in molecular junctions: Unsupervised machine learning insights

Smart Molecules, EarlyView.
Conformational bifurcation in n‐alk‐1‐yne molecular junctions drives dual transport regimes, with unsupervised machine learning and XPS revealing distinct planar and skewed conformers influencing conductance and tunneling efficiency. This discovery highlights anchor‐group control as a key design principle for tailoring molecular electronic devices ...
Yuhong Chen, Ioan Bâldea, Elad Koren, Zuoti Xie   +3 more
wiley   +1 more source

Topological and entropic characterization of nitrogenated holey graphene. [PDF]

Sci Rep
Prabhu S, Arulperumjothi M, Jose Parvin Praveena N, Manuel P.   +3 more
europepmc   +1 more source

Aligning Real‐Time Recurrence Computational Fluid Dynamics Simulations with Plant Data for the Ruhrstahl–Heraeus Degassing Process of Steel

steel research international, EarlyView.
Uncertainties exist in computational fluid dynamics (CFD) modeling of complex metallurgical processes, even when partly validated by laboratory experiments. rCFD enables computationally efficient prediction of long‐term RH degassing and can be adapted to vary flow conditions.
Xiaomeng Zhang, Maria Thumfart, Roman Rössler, Stefan Pirker   +3 more
wiley   +1 more source

Shrink wrap meshing via graph-based optimization. [PDF]

Sci Rep
Liu Z, Gao X, Gong C, Chen X, Li C, Guo X, Xu C, Liu J.   +7 more
europepmc   +1 more source

Shear wall plan layout optimization considering seismic loads

Structural Concrete, EarlyView.
Abstract Seismic force resistant structural design requires experience and time. Shear wall elements are generally used in concrete structures due to their high stiffness against horizontal forces. The aim of this study is to obtain optimum structural wall disposition by using building information modeling (BIM) technologies.
Ahmet Çağatay Tahaoğlu, Yasin Fahjan
wiley   +1 more source