New physics searches via angular distributions of B ¯ → D ∗ → Dπ τ → ℓ ν τ ν ¯ ℓ ν ¯ τ $$ \overline{B}\to {D}^{\ast}\left(\to D\pi \right)\tau \left(\to \ell {\nu}_{\tau }{\overlin... by Bhubanjyoti Bhattacharya, Thomas E. Browder, Alakabha Datta, Tejhas Kapoor, Emi Kou, Lopamudra Mukherjee

“…We obtain a sensitivity of the order of 5% for the right-handed current and around 6% for the tensor current. In addition, we use the recent lattice QCD data on B → D * form factors and obtain correlations between form factors and new physics parameters.…”
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Selection of AI model for predicting disability diseases through bipolar complex fuzzy linguistic multi-attribute decision-making technique based on operators by Ubaid ur Rehman, Meraj Ali Khan, Ibrahim Al-Dayel, Tahir Mahmood

“…Comparing the presented approach with the existing methodologies shows that the proposed approach is more efficient for handling complex decision situations. …”
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Post-inflationary production of particle dark matter: Non-minimal natural and Coleman–Weinberg inflationary scenarios by Anish Ghoshal, Maxim Yu. Khlopov, Zygmunt Lalak, Shiladitya Porey

“…We determine benchmark values for slow roll inflationary scenarios satisfying current bounds from Cosmic Microwave Background (CMB) radiation measurement and find the mass of inflaton to be Image 1 for all three inflationary scenarios and tensor-to-scalar ratio, r∼0.0177 (for NM-N), ∼0.0097 (for NMP-N), and r∼0.0157 (for NM-CW) which fall inside 1−σ contour on scalar spectral index versus r plane of Planck2018+Bicep3+Keck Array2018 joint analysis, and can be probed by future CMB observations e.g. …”
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On the Twistability of Partially Coherent, Schell-Model Sources by Riccardo Borghi

“…As a nontrivial application of the algorithm developed here, the analytical determination of the spectrum of saturated twisted astigmatic Gaussian Schell-model sources is also presented.…”
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Research on magnetic force of magnetic seal in aero-engine by Wanli Fan, Hua Su, Ke Li, Weiwei Hao

“…The finite element analysis method based on the Maxwell stress tensor method is used to calculate the magnetic force between the dynamic ring and the magnetic static ring in the magnetic sealing system. …”
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Diffusion tractography of kidney by high angular resolution diffusion imaging by Surendra Maharjan, Jie Chen, Adrienne Gaughan, Neal X. Chen, Nian Wang

“…The study employed diffusion tensor imaging (DTI) and generalized Q-sampling imaging (GQI) to examine the tubular orientation distributions and tractography, validated by conventional histology. …”
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The evaluation of transcription factor binding site prediction tools in human and Arabidopsis genomes by Dinithi V. Wanniarachchi, Sameera Viswakula, Anushka M. Wickramasuriya

“…In addition, MotEvo and Dinucleotide Weight Tensor Toolbox (DWT-toolbox) demonstrated the highest sensitivity in identifying TFBSs at 90% and 80% overlap. …”
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Design of an intelligent AI-based multi-layer optimization framework for grid-tied solar PV-fuel cell hybrid energy systems by Prashant Nene, Dolly Thankachan

“…The application under consideration was simulated in MATLAB/Simulink and Python with TensorFlow, with a 30-year evaluation of meteorological data. …”
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Non-Classical Modeling of Cosserat Fluid-Structure Interaction System for Analyzing Micro-Rotational Effects of Micro-Viscosities on Flow Velocity Fields by Nazim Hussain Hajano, Muhammad Sabeel Khan, Mumtaz Ali Kaloi, M. Asif Memon, Lisheng Liu

“…Conservation laws of classical continuum mechanics are naturally written in the Eulerian frame where only the expression of the stress tensor distinguish fluids and solid structures, usually with Newtonian’s hypothesis for fluids and Helmholtz potential of energy for hyper-elastic solid structures. …”
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Density matrix emulation of quantum recurrent neural networks for multivariate time series prediction by J D Viqueira, D Faílde, M M Juane, A Gómez, D Mera

“…In this context, we design a specific emulation method that relies on density matrix formalism. Using a compact tensor notation, we provide the mathematical formulation of the operator-sum representation involved. …”
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Integrating 3D printing, simulations and surrogate modelling: A comprehensive study on additive manufacturing focusing on a metal twin-cantilever benchmark by C. Mallor, S. Lani, V. Zambrano, H. Ghasemi-Tabasi, S. Calvo, A. Burn

“…However, the time and cost required to achieve production readiness present significant challenges to the widespread adoption of new parts development. …”
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Characterization of strike-slip fault zones by gradient-driven signed pressure force model in the Northeast Sichuan Basin by Siyao Li, Siyao Li, Xuri Huang, Xuri Huang, Shuhang Tang, Shuhang Tang, Guanghui Wu, Liang Feng, Mengcheng Li, Mengcheng Li

“…The method begins by selecting tensor and symmetry as the primary optimization attributes. …”
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Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys by Fei Shuang, Zixiong Wei, Kai Liu, Wei Gao, Poulumi Dey

“…Remarkably, the latest EquiformerV2 models achieve DFT-level accuracy on comprehensive defect datasets, with root mean square errors below 5 meV atom ^−1 for energies and 100 meV Å ^−1 for forces, outperforming specialized machine learning potentials such as moment tensor potential and atomic cluster expansion. We also present a systematic analysis of accuracy versus computational cost and explore uncertainty quantification for uMLIPs. …”
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The Bulb, the Brain and the Being: New Insights into Olfactory System Anatomy, Organization and Connectivity by Anton Stenwall, Aino-Linnea Uggla, David Weibust, Markus Fahlström, Mats Ryttlefors, Francesco Latini

“…Measurements of different cortical structures and interhemispheric symmetry were compared. Diffusion tensor imaging sequences from twenty-five healthy individuals from the Human Connectome Project dataset were used to explore the connectivity of the olfactory system using DSI Studio. …”
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A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions by Oumayma Jouini, Kaouthar Sethom, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

“…These devices are boosted with custom AI frameworks, such as TensorFlow Lite, OpenEI, Core ML, Caffe2, and MXNet, to empower ML and DL tasks (e.g., object detection and gesture recognition). …”
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Gesture-controlled omnidirectional autonomous vehicle: A web-based approach for gesture recognition by Huma Zia, Bara Fteiha, Maha Abdulnasser, Tafleh Saleh, Fatima Suliemn, Kawther Alagha, Jawad Yousaf, Mohammed Ghazal

“…This paper presents a novel web-based hand/thumb gesture recognition model, validated through the implementation of a gesture-controlled omnidirectional autonomous vehicle. …”
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Deep Learning para Classificação Supervisionada de Imagens CBERS-4A da Área Urbana de Rio Claro (SP) by Danilo Marques Magalhães, Julya Paes de Souza, Edgar Auler Galvão de França

“… O presente artigo tem por objetivo avaliar a acurácia do mapeamento do uso e cobertura da terra, realizado em um trecho da área urbana de Rio Claro (SP), a partir de técnicas de Deep Learning e utilizando uma imagem CBERS-4A (WPM) com 2 m de resolução espacial. …”
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Аnalysis of methods of calculating road structures based by shear resistance in the soil by A. S. Aleksandrov

“…Krivissky is performed in accordance with the principle of force superposition, which consists in calculating the components of the stress tensor from each force (time load and the own weight of the layer materials) separately, followed by summing the corresponding components. …”
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LSTM‐based real‐time stress detection using PPG signals on raspberry Pi by Amin Rostami, Koorosh Motaman, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari

“…In this study, the authors implement key TensorFlow toolkit optimisation techniques including quantisation aware training (QAT), Pruning and prune‐preserving quantisation aware training. …”
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A workflow for extracting ungulate trails in wetlands using 3D point clouds obtained from airborne laser scanning by Jinhu Wang, Perry Cornelissen, W. Daniel Kissling

“…Finally, trail cells are extracted by thresholding the residuals from iterative Laplacian smoothing and then refined by sparse 3D structure tensor voting. The parameters of the workflow were optimized with comprehensive sensitivity analyses. …”
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