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  1. 1

    Performance of Coherent Optical MPSK in Underwater Turbulent Channels With Phase Errors by Jiashun Hu, Yuexiang Wu, Sunan Wang, Weiqiang Wu, Zaichen Zhang

    Published 2025-01-01
    Subjects: “…<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <named-content content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$M$</tex-math> </inline-formula> </named-content> </named-content>-ary phase shift keying (MPSK)…”
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  2. 2

    Development <italic>p</italic>, <italic>q</italic>, <italic>r</italic>&#x2013;Spherical Fuzzy Einstein Aggregation Operators: Application in Decision-Making in Logo Design by Lin Kang, Salma Khan, Muhammad Rahim, Kamal Shah, Thabet Abdeljawad

    Published 2024-01-01
    “…<inline-formula> <tex-math notation="LaTeX">$p,q,r-$ </tex-math></inline-formula>spherical fuzzy (<inline-formula> <tex-math notation="LaTeX">$p,q,r-$ </tex-math></inline-formula>SF) sets are a significant advancement in fuzzy set (FS) theory, providing an effective way to describe hesitation inside a set. …”
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  3. 3

    A Low Complexity Dual-Phase Alternating Scheme is Used With the PTS Method to Reduce PAPR for B5G Systems by Yung-Ping Tu, Chen-Wei Hsu

    Published 2025-01-01
    “…To reduce computational complexity, before entering the second stage, we employ the pre-process by Monte Carlo method to estimate the amount of subcarriers worth altering, denoted as <inline-formula> <tex-math notation="LaTeX">$\beta $ </tex-math></inline-formula>. In the second stage, we use the dual-phase alternation of 0 and <inline-formula> <tex-math notation="LaTeX">$\pi $ </tex-math></inline-formula> radian to wimple the effect of the peaking power of each subcarrier on PAPR one by one until the estimated amount <inline-formula> <tex-math notation="LaTeX">$\beta $ </tex-math></inline-formula>. …”
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  4. 4

    A New Attack Recovery Approach and <italic>H</italic>&#x221E; Performance Analysis for LFC Systems With FDI Attacks and Uncertainties by Xuxia He, Ruimei Zhang, Puying Wang

    Published 2025-01-01
    “…This paper focuses on the attack recovery and <inline-formula> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> performance analysis for load frequency control (LFC) systems with false data injection (FDI) attacks and uncertainties. …”
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  5. 5

    High Stability Single-Port Dual Band Microwave Sensor Based on Interdigital Capacitor Structure With Asymmetry Branch Feedline by Syah Alam, Indra Surjati, Lydia Sari, Raden Deiny Mardian, Teguh Firmansyah, Muhammad Iqbal, Slamet Widodo, Mudrik Alaydrus, Zahriladha Zakaria

    Published 2025-01-01
    “…The microwave sensor is designed using a single-port resonator operating at two different resonant frequencies <inline-formula> <tex-math notation="LaTeX">$f_{r1} = 1.61$ </tex-math></inline-formula> GHz and <inline-formula> <tex-math notation="LaTeX">$f_{r2} = 2.52$ </tex-math></inline-formula> GHz. …”
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  6. 6

    Performance Evaluation of Dual-Drive Mach-Zehnder Modulator and Optomechanical Crystal Cavity Comb Generation for All-Optical Band Conversion in 5G-Advanced Cellular Systems by Vicente Fito, Raul Ortiz, Maria Morant, Laura Mercade, Alejandro Martinez, Roberto Llorente

    Published 2025-01-01
    “…The DD-MZM implementation generates a comb with flexible line spacing and comprising several spectrum-flat lines with low phase noise (<inline-formula><tex-math notation="LaTeX">$-88.5$</tex-math></inline-formula> dBc/Hz at 1 kHz offset and <inline-formula><tex-math notation="LaTeX">$-108.3$</tex-math></inline-formula> dBc/Hz at 100 kHz offset). …”
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  7. 7

    The MyFlex-&#x03B6; Foot: A Variable Stiffness ESR Ankle-Foot Prosthesis by Johnnidel Tabucol, Vera G. M. Kooiman, Marco Leopaldi, Ruud Leijendekkers, Giacomo Selleri, Marcello Mellini, Nico Verdonschot, Magnus Oddsson, Raffaella Carloni, Andrea Zucchelli, Tommaso M. Brugo

    Published 2025-01-01
    “…This paper presents MyFlex-<inline-formula> <tex-math notation="LaTeX">$\zeta $ </tex-math></inline-formula>, an ESR foot with a variable stiffness system, as a compromise between these two categories. …”
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  8. 8

    Mobility Aware Spectrum Handoff in 6G-Enabled Cognitive Radio Vehicular Centralized and Ad-Hoc Networks by Shanidul Hoque, Hemanta Kumar Sahu, Mohammed Nazibul Hasan, Rajesh Saha

    Published 2025-01-01
    “…Considering <inline-formula> <tex-math notation="LaTeX">$D_{th}$ </tex-math></inline-formula> as the waiting threshold period for CU, we analyze the effect PU&#x2019;s arrival rate and <inline-formula> <tex-math notation="LaTeX">$D_{th}$ </tex-math></inline-formula> on the performance measuring metrics in two different network architectures: Cognitive Radio-Vehicular Ad-Hoc Network (CR-VANET) and Cognitive Radio-Vehicular Centralized Network (CR-VCNET). …”
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  9. 9

    Automatic Classification of Difficulty of Texts From Eye Gaze and Physiological Measures of L2 English Speakers by Javier Melo, Leigh Fernandez, Shoya Ishimaru

    Published 2025-01-01
    “…The results showed acceptable levels of generalization to new participants (<inline-formula> <tex-math notation="LaTeX">$Acc_{LoPo} = 0.434$ </tex-math></inline-formula>) and documents (<inline-formula> <tex-math notation="LaTeX">$Acc_{LoDo} = 0.521$ </tex-math></inline-formula>). …”
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  10. 10

    CPW-Fed Dual Band Flexible Antenna for Energy IoT Applications at 380/940 MHz by Soyeong Lee, Sangjoon do, Hoosung Lee, Daeyeong Yoon, Yong Bae Park

    Published 2025-01-01
    “…The antenna size is <inline-formula> <tex-math notation="LaTeX">$210\times 236\times 0.2$ </tex-math></inline-formula> mm3, achieving bandwidths of 25.2% (<inline-formula> <tex-math notation="LaTeX">$344\sim 440$ </tex-math></inline-formula> MHz) and 15.2% (<inline-formula> <tex-math notation="LaTeX">$863\sim 1006$ </tex-math></inline-formula> MHz) when flat, with peak gains of 2.52 dBi and 4.90 dBi, respectively. …”
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  11. 11

    SkelETT&#x2014;Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

    Published 2025-01-01
    “…Compared to the state-of-the-art, we report significant gains in accuracy (<inline-formula> <tex-math notation="LaTeX">$\approx ~34$ </tex-math></inline-formula>% higher), training time (<inline-formula> <tex-math notation="LaTeX">$\approx ~50$ </tex-math></inline-formula>% less), and model complexity reduction (<inline-formula> <tex-math notation="LaTeX">$\approx ~80$ </tex-math></inline-formula>% less trainable parameters).…”
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  12. 12

    Reconfigurable Ultra-Miniaturized MIMO Antenna for Tissue-Independent Communication in Injectable Medical Implants by L. Harlan, M. Susila, Sachin Kumar, Hyun Chul Choi, Kang Wook Kim

    Published 2025-01-01
    “…The proposed antenna, fabricated on a flexible polyimide substrate (<inline-formula> <tex-math notation="LaTeX">$\varepsilon _{r} =3.5$ </tex-math></inline-formula>), with overall dimensions of 5 mm <inline-formula> <tex-math notation="LaTeX">$\times 2$ </tex-math></inline-formula> mm <inline-formula> <tex-math notation="LaTeX">$\times 0.05$ </tex-math></inline-formula> mm, is enclosed within a biocompatible polyimide casing. …”
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  13. 13

    Co-Optimization of Power Delivery Network Design for 3-D Heterogeneous Integration of RRAM-Based Compute In-Memory Accelerators by Madison Manley, James Read, Ankit Kaul, Shimeng Yu, Muhannad Bakir

    Published 2025-01-01
    “…However, this approach faces challenges with power supply noise (PSN) margins due to <inline-formula> <tex-math notation="LaTeX">$V_{\text {DD}}$ </tex-math></inline-formula> scaling and increased power delivery network (PDN) impedance. …”
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  14. 14

    Sparse Regularization With Reverse Sorted Sum of Squares via an Unrolled Difference-of-Convex Approach by Takayuki Sasaki, Kazuya Hayase, Masaki Kitahara, Shunsuke Ono

    Published 2025-01-01
    “…The reverse ordered weighted <inline-formula><tex-math notation="LaTeX">$L_{1}$</tex-math></inline-formula>-norm (ROWL) addresses these issues but introduces new challenges. …”
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  15. 15

    The Effects of Different Challenge-Level Balance Tasks on Stroke Cortical Responses and Balance Assessment Using EEG by Rui Xu, Yu Bai, Jun Liang, Ningning Wang, Yongzheng He, Lin Meng, Dong Ming

    Published 2025-01-01
    “…Finally, The Berg Balance Scale (BBS) scores could be reliably predicted using parietal BSI and frontal GC metrics recorded during standing (p &#x003C;0.001, adjusted R<inline-formula> <tex-math notation="LaTeX">$^{{2}}=0.938$ </tex-math></inline-formula>) and perturbation tasks (p =0.001, adjusted R<inline-formula> <tex-math notation="LaTeX">$^{{2}}=0.644$ </tex-math></inline-formula>). …”
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  16. 16

    Variational Methods in Optical Quantum Machine Learning by Marco Simonetti, Damiano Perri, Osvaldo Gervasi

    Published 2023-01-01
    “…The two coordinates of each unique point, <inline-formula> <tex-math notation="LaTeX">$x_{1}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$x_{2}$ </tex-math></inline-formula>, serve as the features since they present two disparate data sets in a two-dimensional representation space. …”
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  17. 17

    Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach by Junyoung Byun, Jaewook Lee, Hyeongyeong Lee, Bumho Son

    Published 2025-01-01
    “…Our main findings are as follows: 1) In the absence of privacy constraints, the models consistently identified Asset Turnover, Total Debt / Invested Capital, and ROE ratios as the most influential factors in predicting bank failure, in that order; 2) When the privacy budget <inline-formula> <tex-math notation="LaTeX">$\epsilon \leq 1$ </tex-math></inline-formula>, only EBM maintained significant performance; 3) The reduction in explainability due to privacy protection was more pronounced for variables with initially lower explanatory power, while Asset Turnover retained its explanatory power even at <inline-formula> <tex-math notation="LaTeX">$\epsilon = 0.01$ </tex-math></inline-formula>. …”
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  18. 18

    Learning to Boost the Performance of Stable Nonlinear Systems by Luca Furieri, Clara Lucia Galimberti, Giancarlo Ferrari-Trecate

    Published 2024-01-01
    “…Our robustness result is tight, in the sense that all stabilizing policies are recovered as the <inline-formula><tex-math notation="LaTeX">$\mathcal {L}_{p}$</tex-math></inline-formula> -gain of the model mismatch operator is reduced to zero. …”
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  19. 19

    Design Optimization of a 3-PUU Parallel Machine for Friction Stir Welding Robots by Eka Marliana, Latifah Nurahmi, Arif Wahjudi, I. Made Londen Batan, Guowu Wei

    Published 2025-01-01
    “…This paper focuses on the design and optimization of a 3-PUU parallel machine to achieve an optimal configuration based on performance indices, specifically the Local Conditioning Index (LCI) and the dynamic isotropy index (<inline-formula> <tex-math notation="LaTeX">$d_{1}$ </tex-math></inline-formula>). Initially, a design space atlas was created, mapping both LCI and <inline-formula> <tex-math notation="LaTeX">$d_{1}$ </tex-math></inline-formula> were identified. …”
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  20. 20

    A Fourfold Bi-Filter and Permuted Bi-Quad-Wrapper Feature Selection Method for Finding Optimal Moments of Multi-Trajectory Transient Records in Transient Analysis by Seyed Alireza Bashiri Mosavi, Omid Khalaf Beigi

    Published 2025-01-01
    “…Generally, wrapper stages include <inline-formula> <tex-math notation="LaTeX">${ }_{TWSVM}^{SVM} \textrm {IWSS}_{RBF/\,POL}^{RBF/\,DTW\,} $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">${ }_{TWSVM}^{SVM} \textrm {IWSSr}_{RBF/\,POL}^{RBF/\,DTW\,}$ </tex-math></inline-formula> in a 24-way permutation. …”
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