Accelerated unconstrained latent factorization of tensor model for Web service QoS estimation by Mingwei LIN, Wenqiang LI, Xiuqin XU, Jian LIU

“…Aiming at the problem that the Web service quality of service (QoS) estimation methods based on the non-negative latent factorization of tensor model (NLFT) depend heavily on non-negative initial random data and specially designed non-negative training schemes, which lead to low compatibility and scalability, an accelerated unconstrained latent factorization of tensor (AULFT) model was proposed.The proposed model consisted of three main parts.The non-negative constraints from decision parameters were transferred to output latent factors and they were connected through the single-element-dependent mapping function.A momentum-incorporated stochastic gradient descent (MSGD) algorithm was used to effectively improve the convergence rate and estimation accuracy of the proposed AULFT model.The detailed algorithm and result analysis of the proposed AULFT model were presented.The empirical study on two dynamic QoS datasets in real industrial applications demonstrates that the proposed AULFT model has higher computational efficiency and estimation accuracy than the state-of-the-art QoS estimation models.…”
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Fast and Analytical EAP Approximation from a 4th-Order Tensor by Aurobrata Ghosh, Rachid Deriche

“…Generalized diffusion tensor imaging (GDTI) was developed to model complex apparent diffusivity coefficient (ADC) using higher-order tensors (HOTs) and to overcome the inherent single-peak shortcoming of DTI. …”
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Non-compact gauge groups, tensor fields and Yang-Mills-Einstein amplitudes by Marco Chiodaroli, Murat Günaydin, Henrik Johansson, Radu Roiban

“…We present several examples of these constructions, noting in particular the appearance of Heisenberg groups in the supergravity gauge symmetry and, in some cases, the possibility of exotic tensor-vector matter couplings.…”
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Ultimate Compression: Joint Method of Quantization and Tensor Decomposition for Compact Models on the Edge by Mohammed Alnemari, Nader Bagherzadeh

“…Our approach uniquely combines tensor decomposition techniques with binary neural networks to create efficient deep neural network models optimized for edge inference. …”
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Tensor meson transition form factors in holographic QCD and the muon g − 2 by Luigi Cappiello, Josef Leutgeb, Jonas Mager, Anton Rebhan

“…A recent reanalysis within the dispersive approach has found that after resolving the issue of kinematic singularities in previous approaches, a larger result is obtained, a few 10 −11, and with opposite sign as in previous results, when a simple quark model for the transition form factors is employed. In this paper, we present the first complete evaluation of tensor meson contributions within a hard-wall model in holographic QCD, which reproduces surprisingly well mass, two-photon width, and the observed singly virtual transition form factors of the dominant f 2(1270), requiring only that the energy-momentum tensor correlator is matched to the leading OPE result of QCD. …”
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Tensor RT optimized driver drowsiness detection system using edge device by Chandramohan Dhasarathan, Sambasivam Gnanasekaran, Arnab Pattanayak, Gourav Kumar, Kartik Vig, Vaibhav Narain, K.M. Deva Narayan, Sunidhi Garg

“…Utilizing the computing power of the edge device, Jetson Nano and the optimization capabilities of TensorRT, the system achieves rapid inference of input data, enabling rapid decision making based on analyzed input data. …”
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The General Solution to a System of Tensor Equations over the Split Quaternion Algebra with Applications by Zong-Ru Jia, Qing-Wen Wang

“…This paper presents a systematic investigation into the solvability and the general solution of a tensor equation system within the split quaternion algebra framework. …”
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Crosstalk analysis in single hole-spin qubits within highly anisotropic g-tensors by Yaser Hajati, Irina Heinz, Guido Burkard

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A prediction model for soil heavy metal content based on improved tensor completion by Zhangang Wang, Wenjie Li, Tianhe Yun, Jiaxiang Qi

“…Abstract As socio-economic activities intensify, soil heavy metal pollution increasingly threatens both the environment and human health. This paper presents a novel method for predicting soil heavy metal content using an advanced tensor completion algorithm. …”
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Community Detection in Multi-Aspect Functional Brain Networks: Robust Tensor Decomposition Approach by Esraa Al-Sharoa, Mohammad Al-Wardat, Selin Aviyente

“…The proposed approach is based on a structured robust tensor decomposition with spectral clustering, temporal smoothness and co-clustering regularization terms to extract both the group and individual level community structures. …”
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Quantum Self-Frictional Relativistic Nucleoseed Spinor-Type Tensor Field Theory of Nature by I. I. Guseinov

“…The one- and two-center one-range addition theorems for ψδ⁎-NSO and noninteger n  χ-NSTO orbitals are presented. The quantum SF relativistic nonperturbative theory for Vnljmjδ⁎-RNSST potentials (Vδ⁎-RNSSTP) and their derivatives is also suggested. …”
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Groupwise registration of infant brain diffusion tensor images using intermediate subgroup templates. by Kuaikuai Duan, Longchuan Li, Vince D Calhoun, Sarah Shultz

“…Registering infant brain images is challenging, as the infant brain undergoes rapid changes in size, shape and tissue contrast in the first months of life. Diffusion tensor images (DTI) have relatively consistent tissue properties over the course of infancy compared to commonly used T1 or T2-weighted images, presenting great potential for infant brain registration. …”
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Analysis and Design of Holographic Reflectarray Antennas Using Collective Polarizability Tensors of Patch Scatterers by Shakiba Paloudi, Nader Komjani, Mohammad Yazdi

“…This paper presents an analytical approach for designing holographic reflectarray (HRA) antennas using polarizability tensors of patch scatterers. …”
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Overview of Tensor-Based Cooperative MIMO Communication Systems—Part 2: Semi-Blind Receivers by Gérard Favier, Danilo Sousa Rocha

“…The aim of this presentation is firstly to show how these choices lead to different nested tensor models for the signals received at destination. …”
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Thermodynamic Phase Transition of Anti De Sitter Schwarzschild Scalar-Tensor-Vector-Black Holes by Hossein Ghaffarnejad, Elham Ghasemi

“…Instead ofscalar-tensor gravitymodels which are applicable fordescription of cosmic inflation with unknown dark sector ofmatter/energy, at present tensethere are presented different alternativescalar-tensor-vector gravitieswhere meaningful dynamical vector fields can support cosmicinflation well without to use dark matter/energy concept. …”
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Potential of Diffusion Tensor Imaging and Relaxometry for the Detection of Specific Pathological Alterations in Parkinson's Disease (PD). by Regina Esterhammer, Klaus Seppi, Eva Reiter, Bernadette Pinter, Christoph Mueller, Christian Kremser, Tanja Zitzelsberger, Michael Nocker, Christoph Scherfler, Werner Poewe, Michael Schocke

“…The purpose of the present study was to evaluate the potential of multimodal MR imaging including mean diffusivity (MD), fractional anisotropy (FA), relaxation rates R2 and R2* to detect disease specific alterations in Parkinson's Disease (PD). …”
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Spatio-temporal tensor-network approaches to out-of-equilibrium dynamics bridging open and closed systems by Sergio Cerezo-Roquebrún, Aleix Bou-Comas, Jan T. Schneider, Esperanza López, Luca Tagliacozzo, Stefano Carignano

“…Here, we review the recent approaches based on finding better contraction strategies for the full spatiotemporal tensor networks that encode the path integral of the dynamics, as well as the conceptual integration of influence functionals, process tensors, and transfer matrices within the tensor network formalism. …”
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Precision Reconstruction of Rational Conformal Field Theory from Exact Fixed-Point Tensor Network by Gong Cheng, Lin Chen, Zheng-Cheng Gu, Ling-Yan Hung

“…In this paper, we present an explicit analytical construction of the FP tensor for 2D rational CFT. …”
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Clinical Utility of Diffusion Tensor Imaging and Fibre Tractography for Evaluating Diffuse Axonal Injury with Hemiparesis by Ken Sugiyama, Takeo Kondo, Yoshimi Suzukamo, Yutaka Oouchida, Mari Sato, Hiroshi Watanabe, Shin-Ichi Izumi

“…Although conventional MRI revealed no abnormalities, diffusion tensor imaging (DTI) and fibre tractography (FT) revealed the lesion speculated to be responsible for hemiparesis. …”
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Accelerated and Energy-Efficient Galaxy Detection: Integrating Deep Learning with Tensor Methods for Astronomical Imaging by Humberto Farias, Guillermo Damke, Mauricio Solar, Marcelo Jaque Arancibia

“…As astronomical surveys continue to produce vast amounts of data, the computational and energy demands for galaxy classification have escalated, necessitating more efficient and sustainable approaches. This study presents a novel application of tensor factorization within the Faster R-CNN framework, resulting in the development of our model, T-Faster R-CNN, designed to enhance both the energy efficiency and computational performance of deep learning models used in galaxy classification. …”
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