Dynamical Analysis of the Covarying Coupling Constants in Scalar–Tensor Gravity by Rodrigo R. Cuzinatto, Rajendra P. Gupta, Pedro J. Pompeia

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P-Tensor Product for Group <i>C</i>*-Algebras by Yufang Li, Zhe Dong

Subjects: “…p-tensor product…”
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An algorithm for calculating spectral radius of s-index weakly positive tensors by Panpan Liu, Hongbin Lv

Subjects: “…irreducible nonnegative tensor…”
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Diffusion tensor magnetic resonance imaging in differentiation of breast lesions by Esraa Saleh Amin, Fatma Anas Elsharawy, Mohamed Ali Mlees, Haytham Haroun EL-Saeid, Mohammed Fathy Dawoud

Subjects: “…Diffusion tensor magnetic resonance imaging…”
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Multilinear multitask learning by transformed tensor singular value decomposition by Xiongjun Zhang, Jin Wu, Michael K. Ng

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Self-Gradient Compensation of Full-Tensor Airborne Gravity Gradiometer by Xuewu Qian, Yanhua Zhu

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Prediction of Epilepsy Based on Tensor Decomposition and Functional Brain Network by Han Li, Qizhong Zhang, Ziying Lin, Farong Gao

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Homogeneous Cosmological Models in Weyl’s Geometrical Scalar–Tensor Theory by Adriano Barros, Carlos Romero

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The degree sequence on tensor and cartesian products of graphs and their omega index by Bao-Hua Xing, Nurten Urlu Ozalan, Jia-Bao Liu

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Building cubic gravity with healthy and viable scalar and tensor perturbations by Petros Asimakis, Spyros Basilakos, Emmanuel N. Saridakis

“…We perform a detailed analysis of the scalar and tensor perturbations. We impose the requirement that the two scalar potentials, whose ratio is the post-Newtonian parameter $$\gamma $$ γ , should deviate only minimally form general relativity. …”
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Accelerated non-negative tensor completion via integer programming by Wenhao Pan, Wenhao Pan, Anil Aswani, Chen Chen

Subjects: “…tensor completion…”
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Computing tensor Z-eigenpairs via an alternating direction method by Genjiao Zhou, Shoushi Wang, Jinhong Huang

Subjects: “…Higher-order tensor…”
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Riemannian Calculus of Variations Using Strongly Typed Tensor Calculus by Victor Dods

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Custom Hardware Inference Accelerator for TensorFlow Lite for Microcontrollers by Erez Manor, Shlomo Greenberg

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Tensor characteristics of forward Brillouin sensors in bare and coated fibers by Alon Bernstein, Elad Zehavi, Yosef London, Mirit Hen, Rafael Suna, Shai Ben-Ami, Avi Zadok

“…Torsional–radial modes exhibit more complex tensor characteristics, and they consist of both dilatational and shear wave contributions. …”
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On the possibility of blue tensor spectrum within single field inflation by Yi-Fu Cai, Jinn-Ouk Gong, Shi Pi, Emmanuel N. Saridakis, Shang-Yu Wu

“…Our result implies that, in order to achieve a blue tilt for inflationary tensor perturbations, one may either construct a non-canonical inflation model delicately, or study the generation of primordial tensor modes beyond the standard scenario of single slow-roll field.…”
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Tensor decomposition for painting analysis. Part 1: pigment characterization by Irina M. Ciortan, Tina G. Poulsson, Sony George, Jon Y. Hardeberg

“…To begin with, using microfading data of a region in the painting, we analyze the color deterioration of the measured points. Then, we train a tensor decomposition model to reduce the measured materials to a spectral basis of unmixed pigments and, at the same time, to recover the fading rate of these endmembers (i.e. pure, unmixed chemical signals). …”
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Diffusion tensor MR imaging evaluation in children with developmental delay by Muralinath Krishnarjun, Varsha P Rangankar, Sameeh Uz Zaman

“…The critical time of diagnosis has a significant impact in preventing the decreased quality of life that the children with DD face, for which magnetic resonance imaging (MRI) with its new imaging techniques plays a pivotal role. Diffusion tensor imaging (DTI), a MRI technique, identifies microscopic features that are thought to be precursors to the ultimate stage of macroscopic tissue atrophy. …”
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Myocardial diffusion tensor imaging using diffusion-prepared SSFP by Tunnicliffe Elizabeth M, Suttie Joseph, Ariga Rina, Neubauer Stefan, Robson Matthew D

Practical overview of image classification with tensor-network quantum circuits by Diego Guala, Shaoming Zhang, Esther Cruz, Carlos A. Riofrío, Johannes Klepsch, Juan Miguel Arrazola

“…Inspired by the applications of tensor networks across different fields and their novel presence in the classical machine learning context, one proposed method to design variational circuits is to base the circuit architecture on tensor networks. …”
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