Quantum Circuit for Imputation of Missing Data by Claudio Sanavio, Simone Tibaldi, Edoardo Tignone, Elisa Ercolessi

“…We construct variational quantum circuits with gates complexity <inline-formula><tex-math notation="LaTeX">$\mathcal {O}(N)$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$\mathcal {O}(N^{2})$</tex-math></inline-formula> that return the last missing bit of a binary string for a specific distribution. …”
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The Effect of Ferroelectric/Dielectric Capacitance Ratio on Short-Term Retention Characteristics of MFMIS FeFET by Junghyeon Hwang, Giuk Kim, Hongrae Joh, Jinho Ahn, Sanghun Jeon

“…Previous studies have primarily concentrated on the endurance and memory window properties, while this study focuses on the short-term (&#x003C;<inline-formula> <tex-math notation="LaTeX">$1~\mu $ </tex-math></inline-formula>s) retention region of MFMIS FeFETs. …”
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Triple-Resonance Wideband Sector Patch Antenna Under 1.25-Wavelength by Jian Yu, Shan-Shan Gu

“…In comparison to its counterpart, the proposed antenna exhibits a simple configuration and an enhanced gain up to 8.3 dBi in the tilted direction (<inline-formula> <tex-math notation="LaTeX">$\theta = 15^{\circ }$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\varphi = 0^{\circ }$ </tex-math></inline-formula>).…”
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Design Techniques for Single-Ended Wireline Crosstalk Cancellation Receiver Up To 112 Gb/s by Liping Zhong, Quan Pan

“…These 56 and 112 Gb/s receivers achieve a bit error rate of &#x003C;<inline-formula> <tex-math notation="LaTeX">$10{^{-}10 }$ </tex-math></inline-formula> and &#x003C;<inline-formula> <tex-math notation="LaTeX">$10{^{-}12 }$ </tex-math></inline-formula> with a single-ended channel loss of 24 and 25 dB, respectively.…”
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Swarm-Based Trajectory Generation and Optimization for Stress-Aligned 3D Printing by Xavier Guidetti, Efe C. Balta, and John Lygeros

“…Our results demonstrate a remarkable improvement in computational efficiency, achieving a <inline-formula> <tex-math notation="LaTeX">$115\times $ </tex-math></inline-formula> faster computation speed than existing methods. …”
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Variational Methods in Optical Quantum Machine Learning by Marco Simonetti, Damiano Perri, Osvaldo Gervasi

“…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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ALBERTA: ALgorithm-Based Error Resilience in Transformer Architectures by Haoxuan Liu, Vasu Singh, Michal Filipiuk, Siva Kumar Sastry Hari

“…Results show that our approach achieves over 99&#x0025; coverage for errors (single bit-flip fault model) that result in a mismatch with <inline-formula><tex-math notation="LaTeX">$&lt; $</tex-math></inline-formula>0.2&#x0025; and <inline-formula><tex-math notation="LaTeX">$&lt; $</tex-math></inline-formula>0.01&#x0025; computation and memory overheads, respectively. …”
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An Adversarial Attack via Penalty Method by Jiyuan Sun, Haibo Yu, Jianjun Zhao

“…Unlike traditional methods, it generates white-box <inline-formula> <tex-math notation="LaTeX">$\ell _{2}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\ell _{1}$ </tex-math></inline-formula> adversarial examples by progressively increasing the penalty parameter instead of employing binary search. …”
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Exact Recovery for System Identification With More Corrupt Data Than Clean Data by Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, Murat Arcak

“…When adversarial attacks occur at each time instance with probability <inline-formula><tex-math notation="LaTeX">$p$</tex-math></inline-formula>, the required sample complexity for exact recovery scales polynomially in the dimension of the states and the probability <inline-formula><tex-math notation="LaTeX">$p$</tex-math></inline-formula>. …”
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Donor Impurity Related Linear and Nonlinear Optical Properties of Symmetric and Asymmetric Double Triangular Quantum Dots by Emre Bahadir Al, Norshamsuri Ali, Syed Alwee Aljunid Syed Junid, Rosdisham Bin Endut, Nor Roshidah Yusof

“…The results demonstrate that the donor binding energy substantially depends on the position of the impurity and the geometry of the quantum dot and the presence and position of the donor atom has various impacts on the <inline-formula> <tex-math notation="LaTeX">$\pi $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\sigma ^{\pm }$ </tex-math></inline-formula> transitions. …”
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Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition by Sota Nemoto, Shunsuke Kitada, Hitoshi Iyatomi

“…., <inline-formula> <tex-math notation="LaTeX">$\mathcal {O}$ </tex-math></inline-formula>-class). …”
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Fully Vertical GaN-on-SiC p-i-n Diodes With BFOM of 2.89 GW/cm² by Jialun Li, Renqiang Zhu, Ka Ming Wong, Kei May Lau

“…The diode presents an ultra-low specific ON-resistance of 0.25 <inline-formula> <tex-math notation="LaTeX">$\text{m}\Omega \cdot $ </tex-math></inline-formula>cm2, a high current swing of 1011, and a high breakdown voltage of 850 V with a 5-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula>-thick drift layer, leading to a Baliga&#x2019;s figure of merit (BFOM) of 2.89 GW/cm2. …”
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Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling by Yi Chen, Dan Chen, Niansheng Tang

“…Theoretical properties show that the proposed privacy-preserving mechanism has the properties of <inline-formula> <tex-math notation="LaTeX">$\epsilon $ </tex-math></inline-formula>-LDP and <inline-formula> <tex-math notation="LaTeX">$\epsilon $ </tex-math></inline-formula>-distance-LDP in the federated learning framework. …”
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Optimization-Based Design of Multi-Band Branch-Line Coupler With Arbitrary and Band-Distinct Power Division Ratios and Phase Differences by Abdullah J. Alazemi, Mohamed A. Koura

“…Also, the measured matching and isolation are <inline-formula><tex-math notation="LaTeX">$&lt; $</tex-math></inline-formula> &#x2212;11 dB at all design frequencies. …”
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A Review on Frequency Compensation and Transient Enhancement Schemes of Flipped Voltage Follower LDO Regulators for SoC Applications by P. Manikandan, B. Bindu

“…The proposed FVF LDO achieves a settling time of <inline-formula> <tex-math notation="LaTeX">$100 \ ns$ </tex-math></inline-formula> and PSR of <inline-formula> <tex-math notation="LaTeX">$-31\ dB\text{@}1\ MHz$ </tex-math></inline-formula>. …”
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Estimation of Forest Leaf Area Index Based on GEE Data Fusion Method by Xinyi Liu, Li He, Zhengwei He, Yun Wei

“…Implementing forest protection measures, such as afforestation, can be an effective approach toward slowing down the increase of CO<inline-formula><tex-math notation="LaTeX">$_{2}$</tex-math></inline-formula> concentration and attaining carbon neutrality. …”
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A Joint Forgetting Factor-Based Adaptive Extended Kalman Filtering Approach to Predict the State-of-Charge and Model Parameter of Lithium-Ion Battery by Satyaprakash Rout, Satyajit Das

“…The accuracy of the SOC estimation is demonstrated by comparing the root mean square error (<inline-formula> <tex-math notation="LaTeX">$E_{RMS}$ </tex-math></inline-formula>) and maximum absolute error (<inline-formula> <tex-math notation="LaTeX">$Max_{AE}$ </tex-math></inline-formula>) with other Kalman filter-based estimators. …”
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Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach by Junyoung Byun, Jaewook Lee, Hyeongyeong Lee, Bumho Son

“…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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Optimized Resonators for Piezoelectric Power Conversion by Weston D. Braun, Eric A. Stolt, Lei Gu, Jeronimo Jeronimo Segovia-Fernandez, Sombuddha Chakraborty, Ruochen Lu, Juan M. Rivas-Davila

“…The piezoelectric resonator has a quality factor of 4178 and a coupling coefficient, <inline-formula><tex-math notation="LaTeX">$k_t^2$</tex-math></inline-formula>, of 29&#x0025;. …”
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Indoor Visible Light 3D Localization System Based on Black Wing Kite Algorithm by Jiahui Wang, Xiangqing Wang, Chaochuan Jia, Cui Yang

“…The simulation results show that in the indoor environment of 5m <inline-formula> <tex-math notation="LaTeX">$\times 5$ </tex-math></inline-formula>m <inline-formula> <tex-math notation="LaTeX">$\times 6$ </tex-math></inline-formula>m, the average error of 1.29cm and the maximum error of 6.29cm are achieved after 100 iterations and 90.02% of the average localization error is less than 2.39cm, the horizontal error is less than 2.20cm. …”
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