Results 121 to 130 of about 23,770 (308)

Hyperspectral Image Denoising With Group Sparse and Low-Rank Tensor Decomposition

IEEE Access, 2018
Hyperspectral image (HSI) is usually corrupted by various types of noise, including Gaussian noise, impulse noise, stripes, deadlines, and so on. Recently, sparse and low-rank matrix decomposition (SLRMD) has demonstrated to be an effective tool in HSI ...
Zhihong Huang, Shutao Li, Leyuan Fang, Huali Li, Jon Atli Benediktsson   +4 more
doaj   +1 more source

Light Switchable Ionic Conductivity of Arylazopyrazole Modified Polysiloxanes

Advanced Materials Technologies, EarlyView.
We present a polysiloxane functionalized with a novel arylazopyrazole dye that undergoes reversible photoisomerization. Upon lithium bis(trifluoromethanesulfonyl)imide addition and UV irradiation, the polymer exhibits a shift in tan(d) toward higher frequencies and enhanced ionic conductivity.
Malte S. Beccard, Thulasinath Raman Venkatesan, Michael Bauer, Valentin Razvan Lupu, Philipp Scheidegger, Francesco Taddei, Frank A. Nüesch, Dorina M. Opris   +7 more
wiley   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Objects features extraction by singular projections of data tensor to matrices

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
The problem of multidimensional tensor objects features extraction in a manner of matrices is considered. The tensor’ elements Higher Order Singular Value Decomposition (SVD) is presented as the d-SVD which includes SVD of the tensor reshaped as a ...
Yuriy Bunyak, Roman Kvуetnyy, Olga Sofina, Volodymyr Kotsiubynskyi   +3 more
doaj   +1 more source

Decompositions of tensor products of contractions [PDF]

Annales Polonici Mathematici, 1988
Let G be an additive subgroup of real numbers, and \(G_+=\{t\in G:t\geq 0\}\). Let \(\{T_ 1(t)\}_{t\in G_+}\) and \(\{T_ 2(t)\}_{t\in G_+}\) be two semigroups of contractions on a Hilbert space. The author proves that the unitary part of the semigroup \(\{T_ 1(t)\otimes T_ 2(t)\}\) equals to the tensor product of the unitary parts of \(\{T_ 1(t ...
openaire   +2 more sources

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

Tensor Decomposition with Missing Indices

, 2017
How can we decompose a data tensor if the indices are partially missing?Tensor decomposition is a fundamental tool to analyze the tensor data.Suppose, for example, we have a 3rd-order tensor X where each element Xijk takes 1 if user i posts word j at ...
Kohei Hayashi, Yuto Yamaguchi
core   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Tensors and canonic tensor decompositions: Tucker decomposition

, 2017
Soudobý vývoj v aplikované a numerické lineární algebře stále více směřuje, mimo jiné, od maticových výpočtů směrem k výpočtům tenzorovým. Tenzorové úlohy se přirozeně vyskytují např. ve výpočtech v kvantové chemii, ale i v jednodušších problémech, např.
Žáková, Jana
core  

Shaping Carbon Nitrides for Advanced Macrostructures

Advanced Materials Technologies, EarlyView.
This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley   +1 more source