Results 171 to 180 of about 388,321 (273)
Multi-attention fusion transformer for single-image super-resolution. [PDF]
Li G, Cui Z, Li M, Han Y, Li T.
europepmc +1 more source
Single-image example-based super-resolution using Markov random fields [PDF]
Ruzic, Tijana
core +1 more source
This study investigates laser metal deposition of aluminum alloys EN AW‐7075 and EN AW‐5083, using powder blending to compensate zinc and magnesium evaporation. In situ alloying and ex situ alloying with ZnAl12 and AZ91 preserve near‐standard compositions and improve mechanical properties.
Finn Bendixen +3 more
wiley +1 more source
Additive manufacturing (AM) allows great geometric freedom for lightweight components. As parts are progressively optimized exploiting potentials in AM leading in smaller material cross sections, high pressure solution treating and aging (STA) treatments show an enormous potential for strongly improving material properties.
Mika León Altmann +4 more
wiley +1 more source
Single Image Super-Resolution via Wide-Activation Feature Distillation Network. [PDF]
Su Z +6 more
europepmc +1 more source
The study investigates novel semi‐finished products made of unidirectionally arranged hemp or pineapple leaf fiber‐reinforced composites produced from different matrices. The materials are analyzed in terms of their mechanical and interfacial properties and void content.
Nina Graupner +22 more
wiley +1 more source
Lightweight interactive feature inference network for single-image super-resolution. [PDF]
Wang L, Li X, Tian W, Peng J, Chen R.
europepmc +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Lightweight Single Image Super-Resolution via Efficient Mixture of Transformers and Convolutional Networks. [PDF]
Xiao L, Liao X, Ren C.
europepmc +1 more source
Applying single-image super-resolution to enhancment of deep-water bathymetry. [PDF]
Nock K +5 more
europepmc +1 more source

