Ship Hull Steel Plate Deformation Modeling Based on Gaussian Process Regression by Zhiliang Zhang, Ryojun Ikeura, Soichiro Hayakawa, Zheng Wang

“…The linear heating and formation of steel plates is one of the most critical technologies in shipbuilding. …”
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Impact of stock market indices and raw material prices on the yield movements of Caterpillar company securities by Petrović Nevena, Novićević-Čečević Bojana, Krstajić Goran

“…In this study, we use multiple linear regression to predict the returns of CAT shares. …”
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Homomorphic Evaluation Cluster Architecture for Fully Homomorphic Encryption by Hanyoung Lee, Ardianto Satriawan, Hanho Lee

“…Bootstrapping involves linear transformation processes, such as Coefficient to Slots and Slots to Coefficient, where most operations used are rotation. …”
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Enhanced OCV Estimation in LiFePO4 Batteries: A Novel Statistical Approach Leveraging Real-Time Knee/Elbow Detection by Teodor-Iulian Voicila, Bogdan-Adrian Enache, Vasilis Argyriou, Panagiotis Sarigiannidis, Mihai-Alexandru Pisla, George-Calin Seritan

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Multiple Rows Mixers and Hsilu by Xiaobin Yu, Meicheng Liu

“…In addition, we present a concrete instantiation of a 320-bit permutation using a more efficient instance of MRM, named Hsilu. Its non-linear layer employs the χ operating on columns. …”
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Evaluating a discretized data acquisition method for couch modeling to streamline the commissioning process of radiological instruments by Syouta Tomimoto, Yusuke Saeki, Okihiro Motoda, Masato Tanaka, Syouki Tsumoto, Hana Nishikawa, Yuki Miyashima, Makiko Higuchi, Tadashi Tani, Kuniaki Katsui, Yoshinori Tanabe

“…As the number of new technologies and peripheral devices increases year by year, there is a need for time-efficient and accurate commissioning of radiation therapy equipment. …”
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Quantitative relationship model between soil profile salinity and soil depth in cotton fields based on data assimilation algorithm: forecasting cotton field yields and profits by Yang Gao, Yang Gao, Lin Chang, Lin Chang, Mei Zeng, Mei Zeng, Quanze Hu, Quanze Hu, Jiaojiao Hui, Jiaojiao Hui, Qingsong Jiang, Qingsong Jiang

“…Soil salinization seriously affects the efficiency of crops in absorbing soil nutrients, and the cotton production in southern Xinjiang accounts for more than 60% of China’s total. …”
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Capacity Forecasting of Lithium-Ion Batteries Using Empirical Models: Toward Efficient SOH Estimation with Limited Cycle Data by Kanchana Sivalertporn, Piyawong Poopanya, Teeraphon Phophongviwat

“…Capacity forecasts based on only 40 cycles yielded results comparable to those using 100 cycles, demonstrating the model’s efficiency. End-of-life estimates based on the modified linear model align more closely with typical LFP specifications, whereas conventional models tend to underestimate the cycle life. …”
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Multistage power generation planning approach for new power systems with high renewable energy integration considering flexibility constraints by Danyang Li, Hongpeng Liu, Jingwei Zhang, Xu Han, Shuxin Zhang

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Light‐Controlled Magnetic Properties: An Energy‐Efficient Opto‐Mechanical Control over Magnetic Films by Liquid Crystalline Networks by Gabriele Barrera, Daniele Martella, Federica Celegato, Neri Fuochi, Marco Coïsson, Camilla Parmeggiani, Diederik S. Wiersma, Paola Tiberto

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Efficient Spectral Galerkin and Collocation Approaches Using Telephone Polynomials for Solving Some Models of Differential Equations with Convergence Analysis by Ramy Mahmoud Hafez, Hany Mostafa Ahmed, Omar Mazen Alqubori, Amr Kamel Amin, Waleed Mohamed Abd-Elhameed

“…This study presents Galerkin and collocation algorithms based on Telephone polynomials (TelPs) for effectively solving high-order linear and non-linear ordinary differential equations (ODEs) and ODE systems, including those with homogeneous and nonhomogeneous initial conditions (ICs). …”
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Enhancing Secure Energy Efficiency of SWIPT IoT Network Considering IRS and Artificial-Noise: A Deep Learning Approach by Kimchheang Chhea, Jung-Ryun Lee

“…We first formulate a joint optimization model of IRS and AN aided secure communication, which is a non-convex optimization problem with linear and non-linear constraints. To solve this problem, we propose a deep neural network (DNN) algorithm that utilizes a loss function derived from Lagrange duality function. …”
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RAD50 is required for efficient initiation of resection and recombinational repair at random, gamma-induced double-strand break ends. by Jim Westmoreland, Wenjian Ma, Yan Yan, Kelly Van Hulle, Anna Malkova, Michael A Resnick

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Training and inference Time Efficiency Assessment Framework for machine learning algorithms: A case study for hyperspectral image classification by Xiaorou Zheng, Jianxin Jia, Shoubin Dong, Yawei Wang, Runuo Lu, Yuwei Chen, Yueming Wang

“…To address these limitations, we propose the Time Efficiency Assessment Framework (TEAF), a novel method for evaluating the time efficiency of machine learning algorithms. …”
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Optimization Study of the Line Array Layout of Slope–Pendulum Wave Energy Conversion Device by Yue Zhao, Zhanhong Wan, Ze Li, Guiyu Cao

“…S-PWEC is affected by radiation and a shading effect from neighboring devices in a linear vertical array configuration. The overall and individual power generation efficiencies are similar. …”
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Heat Engineering Justification on Selection of Energy Efficient Refractory Lining of Reheating and Heat-Treating Furnaces at Machine Manufacturing Enterprises by V. I. Timoshpolsky, L. A. Trusova, A. P. Nesenchuk, D. V. Mendelev, M. L. German

“…An algorithm for selection of an energy efficient refractory lining has been developed on the basis of a ratio of summed-up capital expenditure and operating costs.A non-linear problem of thermal conductivity in a layer of the fiber refractory lining has been numerically solved in the paper. …”
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An Interpolator for a Non-Uniform Rational B-Spline Curve with a High Efficiency and Accuracy Using Polynomial Representations by Zhuiliang Huang, Jianxiong Chen

“…The method integrates linear acceleration and deceleration stages to mitigate abrupt changes in acceleration and jerk. …”
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Glutaraldehyde crosslinked chitosan-β-cyclodextrin/ZnO composite for the effective adsorption of Congo red anionic dye: A glimpse into adsorption performance and ANN modeling by Ruksana Sirach, Pragnesh N Dave

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Telecom Fraud Recognition Based on Large Language Model Neuron Selection by Lanlan Jiang, Cheng Zhang, Xingguo Qin, Ya Zhou, Guanglun Huang, Hui Li, Jun Li

“…To surmount this shortcoming, we introduce LENS (Linear Exploration and Neuron Selection), an innovative technique designed to identify and sparsely integrate salient neurons from intermediate layers via a process of linear exploration. …”
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Game Theory-Based Risk Assessment of the Use of Autonomous Cars in an Urbanized Area by Vasilena Adamova, Stoyan Popov, Simona Todorova, Silvia Baeva, Nikolay Hinov

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