Long Short-Term Memory Approach to Predict Battery SOC by Rupali Firke, Mukesh kumar Gupta

“…The model's predicted SOC closely matches the true SOC, and the SOC prediction error remains nearly zero even with a large sample of input data.…”
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Adaptation of the Novel Cubic B-Spline Algorithm for Dealing with Conformable Systems of Differential Boundary Value Problems concerning Two Points and Two Fractional Parameters by Omar Abu Arqub, Soumia Tayebi, Shaher Momani, Marwan Abukhaled

“…Here, several linear and nonlinear examples will be presented, and a model for the Lane-Emden will be one of the applications presented. Indeed, we will show the complete construction of the used spline through the conformable derivative along with the convergence theory, and the error orders together with other results that we will present in detail in the form of tables and graphs using Mathematica software. …”
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Analysis of the thermal distribution of a porous radial fin influenced by an inclined magnetic field with neural computing by Shazia Habib, Waseem, Zeeshan Khan, Salah Boulaaras, Mati ur Rahman, Saeed Islam, Rafik Guefaifia

“…This novel methodology demonstrates commendable performance, by its mean squared error and its gradient which are mentioned in their figures along with absolute error. …”
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Spectral Analysis of Dissolved Organic Carbon in Seawater by Combined Absorption and Fluorescence Technology by Xuan Cao, Feng Xiong, Yang Wang, Haikuan Ma, Yanmin Zhang, Yan Liu, Xiangfeng Kong, Jingru Wang, Qian Shi, Pingping Fan, Yunzhou Li, Ning Wu

“…Similarly, the mean absolute error was significantly reduced from 15.33% to 3.24%, while the individual absolute error was effectively controlled, remaining within 9%. …”
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Sandwich Miura‐Ori Enabled Large Area, Super Resolution Tactile Skin for Human–Machine Interactions by Qian Xu, Zhiwei Yang, Zhengjun Wang, Ruoqin Wang, Boyang Zhang, YikKin Cheung, Rui Jiao, Fan Shi, Wei Hong, Hongyu Yu

“…Using machine learning techniques, the proposed tactile skin can accurately localize touch inputs (average localization error of 1.89 mm) and estimate the external force (average estimation error of 8%). …”
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2 km Uncompressed HD Video Wireless Transmission at 100 GHz Based on All-Optical Frequency Up- and Down-Conversion by Shuang Gao, Yutong Jiang, Zhuoxin Li, Qing Zhong, Min Zhu, Jiao Zhang

“…Experimental results show that the all-optical transceiver supports significantly higher transmission rates, achieving error-free transmission at up to 11.318 Gbps over a 200 m wireless link without clock recovery, compared to the all-electric receiver, which is limited to only 3.125 Gbps error-free 15 m transmission. …”
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Research on the Adaptive Protection Method for Distribution Networks With Inverter‐Type Distributed Power Supplies: Based on Short‐Circuit Impedance Calculation by Zhuoran Song, Zhanjun Li, Yongji Tong, Wenlei Dou, Hongbo Zhu, Tao Jiang

“…The experimental results show that the proposed method can correctly and accurately reflect the fault distance and the size of the actual line impedance, and the error value of the short‐circuit current at the moment of fault produced by this design method is small, and the maximum value of the error is 3.01. …”
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Practical and Accurate Evaluation of Numerical Aperture and Beam Quality Factor in Photonic Crystal Fibers by Mechanical Learning by Mengda Wei, Meisong Liao, Liang Chen, Yinpeng Liu, Wen Hu, Lidong Wang, Dongyu He, Tianxing Wang, Shizi Yu, Weiqing Gao

“…Moreover, when the noise factor remains below 0.32, the model's prediction error shows minimal fluctuation, highlighting its robustness. …”
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A novel adaptive PID controller with new seesaw algorithms using alternative derivatives by Juan Pablo Manzo Hernández, Julio César Solano Vargas, Juan Manuel Barrera Fernández, Daniel Moreno Orduña, Cristian Hamilton Sánchez Saquín

“…The [Formula: see text] controller is present in at least 90% of industrial applications due to its simplicity and robustness to control linear and non-linear systems. …”
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Development and Evaluation of Solar Radiation Sensor Using Cost-Effective Light Sensors and Machine Learning Techniques by Jesús Antonio Nava-Pintor, Uriel E. Alcalá-Rodríguez, Héctor A. Guerrero-Osuna, Marcela E. Mata-Romero, Emmanuel Lopez-Neri, Fabián García-Vázquez, Luis Octavio Solís-Sánchez, Rocío Carrasco-Navarro, Luis F. Luque-Vega

“…The accurate measurement of solar radiation is essential for applications in agriculture, renewable energy, and environmental monitoring. …”
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Structural Parameter Optimization of the Vector Bracket in a Vertical Takeoff and Landing Unmanned Aerial Vehicle by Wenshuai Liu, Wenyong Quan, Junli Wang, Xiaomin Yao, Qingzheng Liu, Qiang Liu, Yuxiang Tian

“…First, the results of computational fluid dynamics simulations were compared with wind tunnel data to ensure an accurate model of the considered UAV, indicating a thrust coefficient error of less than 3% and a UAV lift-to-drag ratio error of less than 8%. …”
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Phase transition mechanism and property prediction of hafnium oxide-based antiferroelectric materials revealed by artificial intelligence by Shaoan Yan, Pei Xu, Gang Li, Yingfang Zhu, Yujie Wu, Qilai Chen, Sen Liu, Qingjiang Li, Minghua Tang

“…The approach facilitates large-scale ML predictions, rendering it applicable to a broad spectrum of functional material designs.…”
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Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic Algorithm by Pan Jin, Wenping Xue, Kangji Li

“…Finally, simulation results of FE and fault-tolerant control (FTC) are presented to illustrate the effectiveness and applicability of the proposed FE method.…”
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Prospects of materials genome engineering frontiers by Jianxin Xie

“…Abstract Materials genome engineering represents the new frontier of materials research, and is disrupting the conventional “trial and error” paradigm for materials innovation. In the present perspective, the author reflects on the major achievements already made in five sub‐domains, including high‐efficiency materials computation and design, revolutionary experimental technologies, materials big data technologies, research and development of advanced materials, and industrial applications. …”
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An Adaptive Learning Rate for RBFNN Using Time-Domain Feedback Analysis by Syed Saad Azhar Ali, Muhammad Moinuddin, Kamran Raza, Syed Hasan Adil

“…Radial basis function neural networks are used in a variety of applications such as pattern recognition, nonlinear identification, control and time series prediction. …”
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A comparison of ASCAT wind measurements and the HIRLAM model over the Baltic Sea by Jekaterina Služenikina, Aarne Männik

“…The results of the study show that the ASCAT wind data are well correlated with the HIRLAM predicted winds, which raises the credibility of both data sources in operational and hindcasting applications over the Baltic Sea. A case of phase error in a HIRLAM forecast of cyclonic activity over the Baltic Sea is discussed.…”
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Protection of HEVC Video Delivery in Vehicular Networks with RaptorQ Codes by Pablo Piñol, Miguel Martínez-Rach, Otoniel López, Manuel Pérez Malumbres

“…With future vehicles equipped with processing capability, storage, and communications, vehicular networks will become a reality. A vast number of applications will arise that will make use of this connectivity. …”
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Leveraging Large Language Models for Enhancing Safety in Maritime Operations by Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka, Adrianna Łobodzińska, Kinga Łazuga, Polina Kozlovska

“…Maritime operations play a critical role in global trade but face persistent safety challenges due to human error, environmental factors, and operational complexities. …”
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DEVELOPMENT OF THE TECHNIQUE OF QUANTITATIVE DEFINITION OF TRIAZAVIRIN IN WATER SOLUTIONS WITH USE OF THE SPECTROPHOTOMETRY METHOD by M. Yu. Kinev, O. A. Melnikova, A. Yu. Petro, D. V. Zaboyarkina

“…The developed techniques of quantitative definition were applicable for practical use in the pharmaceutical analysis. …”
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Channel impulse response insensitive feature for non-coherent signal detection in molecular communication by Limin XIAO, Xiangrong XU, Zhuangkun WEI, Shenghan LIU, Yiwen LIU

“…To solve the inter-symbol interference (ISI) and background noise challenges of molecular communication via diffusion (MCvD),four ISI-resistant signal-features were deployed,and a reliable non-coherent signal detection algorithm,which was insensitive to different types of molecular channel impulse response (CIR),was proposed.Also,an adaptive decision threshold and theoretical bound of bit error rate (BER) were deduced.Simulation results demonstrate a lower BER of the proposed non-coherent scheme compared to the state-of-the-art schemes in the same order of computational complexity,therefore suggesting its potential applications for future nano-scale MC.…”
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