Minimizing Hallucinations and Communication Costs: Adversarial Debate and Voting Mechanisms in LLM-Based Multi-Agents by Yi Yang, Yitong Ma, Hao Feng, Yiming Cheng, Zhu Han

“…Notably, the dynamic weighting mechanism effectively prioritized high-performing models, leading to a reduction in error rates and improved consistency in the final responses.…”
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Analysis of the Effect of Three-Dimensional Topology Modification on Temperature Field and Thermal Deformation of Internal Helical Gears Pair by Gaowei Yao, Gang Liu, Jianxin Su, Hongbin Yang, Mingxuan Jin, Xiao Wei

“…Experimental validation confirms these improvements, showing an average 62.35% reduction in transmission error. These findings establish a novel methodology for high-precision gear design while providing critical theoretical foundations for planetary gear systems, ultimately leading to significant improvements in both transmission accuracy and operational lifespan.…”
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Energy Risk Analysis With Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling by Kumar Ghosh, Kavitha Yogaraj, Gabriele Agliardi, Piergiacomo Sabino, Fernandez-Campoamor Marina, Bernabe-Moreno Juan, Giorgio Cortiana, Omar Shehab, Corey O'Meara

“…In this article, we generalize the approximate quantum compiling algorithm into a new method for <sc>cnot</sc>-depth reduction, which is apt to process wide target quantum circuits. …”
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Using Bayesian analysis to quantify and reduce uncertainty in experimental measurements — A narrow-angle radiometer case study by Teri S. Draper, Jennifer P. Spinti, Philip J. Smith, Terry A. Ring, Eric G. Eddings

“…We formalize a generic protocol (the “Bayesian Uncertainty Quantification and Reduction Protocol”) for use in any experimental measurement to first quantify and then strategically refine error sources in the data. …”
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An Adaptive Multi-Fidelity Surrogate Model for Uncertainty Propagation Analysis by Wei Xiao, Yingying Shen, Jiao Zhao, Luogeng Lv, Jiangtao Chen, Wei Zhao

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STATE PREDICTION OF WIND TURBINE GENERATOR BASED ON K-CNN AND N-GRU (MT) by CHAI Tong, YUAN YiPing, MA JunYan, FAN PanPan

“…The feature extraction results after dimensionality reduction were input into N-GRU for prediction and reconstruction error was obtained, then the state evaluation was realized by setting the alarm threshold. …”
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Mapping Peatlands Combing Deep Learning With Sparse Spectral Unmixing Based on Zhuhai-1 Hyperspectral Images by Yulin Xu, Xiaodong Na

“…The proposed method outperformed the fully constrained least squares, sparsely constrained least squares spectral unmixing algorithms and deep transformer network hyperspectral unmixing, achieving a mean root-mean-square error (RMSE) of 0.1548 to 0.1781 and a mean spectral angle distance (SAD) of 0.1101 to 0.2211. …”
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Active Vibration Control Performance Comparison Based on Middle Pedestal Stiffness Using a Mobility Model and the Narrowband Fx-LMS Technique by Anmok Jeong, Kyuchul Jung, Youngcheol Park, Junyeong Heo, Hakjun Lee

“…As a result of the control simulation, the time required for vibration control was controlled approximately 6 times faster in the model, with increased stiffness of the middle pedestal, and the vibration reduction performance was predicted to improve by a minimum of 0.9 dB and a maximum of 13.3 dB. …”
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State-Space Method-Based Frame Dynamics Analysis of the Six-Rotor Unmanned Aerial Vehicles by Ruijing Liu, Yu Liu, Yi Zhang

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A compact public key encryption with equality test for lattice in cloud computing by Junfei He, Qing Ye, Zhichao Yang, Shixiong Wang, Jiasheng Wang

“…There is an almost half reduction in the computing cost throughout the encryption and decryption stages. …”
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Online Trajectory Regeneration for Multirotors via a Proportional-Derivative Physics-Informed Neural Network by Mana Ghanifar, Amir Ali Nikkhah, Milad Kamzan, Mohammad Teshnehlab, Morteza Tayefi

“…Results show that PD-PINN reduces the total three-dimensional root mean square error from 0.7178 meters to 0.1352 meters, an 81.2% improvement over classical methods. …”
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Does electrification affect rural poverty and households’ non-food spending? Empirical evidence from western Indonesia by Ikhsan Ikhsan, Khairul Amri

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Enhancing underwater acoustic communication networks with RIS: Precise performance analysis over κ − μ shadowed fading distribution by Moloy Kumar Ghosh, Mostafa Zaman Chowdhury

“…To evaluate these impacts, the novel closed-form expressions of three essential performance metrics: outage probability (OP), average bit error rate (ABER), and average channel capacity (ACC) are derived in terms of Meijer-G function. …”
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A new method for describing the change of the laser beam axis trajectory in the Anderson differential cuvette to measure the refractive index of liquids by V.V. Davydov, D.S. Provodin, A.A. Gol’dberg, I.D. Kochetkov

“…Directions of research for the further error reduction are outlined, that would allow the developed refractometer design to be used in scientific research and as a verification scheme in metrology.…”
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Prevalence of adverse events in hip and knee arthroplasties following the implementation of surgical checklists by Josemar Batista, Elaine Drehmer de Almeida Cruz

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Modified Fuzzy Logic System Based Predictive Model for Cortical Bone Drilling Temperature by Varatharajan Prasannavenkadesan, K. B. Badri Narayanan, Subramanian Raja

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А quantitative estimate of uncertainty of the random scattering of the average clearance and interference in mating by N. N. Chigrik

“…Actual dimensions of suitable parts made according to the same drawings can fluctuate between the given limit dimensions, and the clearances and interferences in the conjugations — depending on the random scattering of the actual dimensions with the deviation of the shape of the real surface or profile. The error of the shape of the real surface affects the probabilistic estimate of the results of sorting parts, leads to uncertainty in the size of the maximum of the material, a random scattering of the average clearance and interference in the mating and, as a consequence — the uncertainty to use all that come in for assembly of parts. …”
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Electroreduction of Carbon Dioxide to Formic Acid Using a Bi-Sn Nanoparticle Catalyst and an Ionic Liquid Electrolyte by Akaninyene Christopher Offong, Abdulhakim Adeoye Shittu

“…This study demonstrates the feasibility of scaling MECs for efficient CO2 reduction.…”
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Granger Test and ARDL Model for the Socio-Economic Challenges Investigation: Public Expenditure Components, Economic Growth, and Inflation by Fatma Zohra Hamadouche, Bekhta Hamadouche, Malak Mohammad Ghandour, Aicha Hamadouche, Brahim Boutrig

“…The error correction term (-0.75) highlights a strong adjustment mechanism, with deviations from long-term equilibrium corrected within approximately 16 months. …”
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BlueEdge: application design for big data cleaning processing using mobile edge computing environments by Nagwa Elmobark, Haitham El-ghareeb, Sara Elhishi

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