ANN-Based Control of a Multiboat Group for the Deployment of an Underwater Sensor Network by Emmanouel T. Michailidis, Gurkan Tuna, Gülsüm Gezer, Stelios M. Potirakis, Kayhan Gulez

“…During the deployment, the boat group is controlled by an artificial neural network- (ANN-) based control system for reducing path errors. A set of performance evaluations is given to prove efficiency of the proposed control system. …”
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Correlated noise can be beneficial to quantum transducers by Yu-Bo Hou, Xiaoan Ai, Ruizhe You, Changchun Zhong

“…Quantum systems are inherently susceptible to noise—a notorious factor that induces decoherence and limits the performance of quantum applications. To mitigate its detrimental effects, various techniques have been developed, including cryogenic cooling, bath engineering, and quantum error correction. …”
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Research on Performance of Covert Wireless Communication over Uplink LEO Satellite-Terrestrial Network by ZENG Shulei, CAO Bin

“…With the aid of stochastic geometry, the distributions of distances between the transmitter and satellites were analyzed, providing key insights into the uplink performance and interference experienced within a satellite's coverage area.Approximate expressions for the detection error probability and transmission outage probability were provided. …”
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Software-Defined Visible Light Communication for Internet of Things: A Low-Complexity Approach by Ming Che

“…Moreover, the adaptive SDLMS equalizer significantly improves performance in multipath fading environments and reduces the bit error rate by approximately two orders of magnitude. …”
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Parameter Optimization of Frequency Selective Surfaces Made of Composite Materials by Abdullah Oğuz Kızılçay

“…Debye model is used for approximating the frequency dependent complex effective permittivity of the composite structures in filter and shielding applications at microwave frequencies. In debye model, desired shielding effectiveness (SE) is obtained by determining the Debye parameters using trial and error method. …”
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Opportunities and challenges in modelling ligand adsorption on semiconductor nanocrystals by Xin Qi

“…However, due to a lack of means to probe and understand their roles in experiments, only a handful of effective ligands have been identified through trial-and-error processes. Alternatively, computational and theoretical methods are ideal for providing physical insights and further guidance. …”
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A three-dimensional localization algorithm for passive radio-frequency identification device tag by Fagui Liu, Dexiang Zhong, Songchao Luo

“…Finally, we use planar fit method and the method of least squares to reduce the localization error. Both the simulation and testbed experiment results have shown that the proposed method can reach a higher positioning accuracy with less radio-frequency identification device readers and more robust to the environment than other existing methods.…”
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Analysis of space labeling through binary fingerprinting by Marouan Mizmizi, Luca Reggiani

“…In the context of fingerprinting applications, this article presents the performance analysis of a type of space labeling based on the binary quantization of the received signal strength indicator. …”
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Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models by Tarik Pinaffo Almeida, Shahin Alipour Bonab, Mohammad Yazdani-Asrami

“…With a Goodness of Fit ( R ^2 ) of 98.55%, root mean square error of 1.421 N, and mean absolute error of 0.453 N, XGBoost specifically, and AI in general, has demonstrated its superiority, by significantly improving on the accuracy of previously published empirical models for AF-MPDT thrust prediction. …”
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A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching by Jose Moises Araya-Martinez, Jose Moises Araya-Martinez, Vinicius Soares Matthiesen, Vinicius Soares Matthiesen, Simon Bøgh, Jens Lambrecht, Rui Pimentel de Figueiredo

“…Object pose estimation is essential for computer vision applications such as quality inspection, robotic bin picking, and warehouse logistics. …”
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Use of Narrow Band Imaging (NBI) as a non-invasive adjunct for margin assessment in oral squamous cell carcinoma (OSCC) by Krishnasamy Nitya, Yash Merchant, Somdipto Das, Sameep S. Shetty

“…These include subjectivity, sampling errors, and procedural delays. Narrow Band Imaging (NBI) is an innovative, non-contact, non-invasive optical imaging modality that enhances visualisation of the mucosal and submucosal microvasculature by employing filtered light at specific wavelengths. …”
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Sparse Probabilistic Synthesis of Quantum Operations by Bálint Koczor

“…The approach is very general and a broad spectrum of practical applications in quantum technologies are explicitly demonstrated.…”
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On Predicting Marine Engine Measurements with Synthetic Data in Scarce Dataset by Sandi Baressi Šegota, Igor Poljak, Nikola Anđelić, Vedran Mrzljak

“…The results show that synthetic data can yield accurate models, with mean absolute percentage errors (MAPE) below 2% in most cases. The combined synthetic datasets consistently outperformed those generated from single-engine data. …”
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Modeling M/M/R-JSQ-PS Sojourn Time Distributions for URLLC Services by Geraint I. Palmer, Jorge Martin-Perez

“…The future of networking promises to support time-sensitive applications that require ultra low latencies and reliabilities of 99.999%. …”
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A Review of Optical Interferometry for High-Precision Length Measurement by Guangyao Huang, Can Cui, Xiaoyang Lei, Qixue Li, Shuhua Yan, Xinghui Li, Guochao Wang

“…With regard to discussion on enhancement of measurement precision, special attention is given to periodic nonlinear errors and phase demodulation methods. This review offers insights into current challenges and potential future directions for improving interferometric measurement systems, and also emphasizes the role of innovative technologies in advancing precision metrology technology.…”
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Numerical simulation of reflux swirling nozzles for desulfurization tower by Shengqian Kuang, Xiang Wang, Runyang Zhang, Qitao Lin, Ganyong Wu, Yilong Rao, Jianchun Wang, Wenwang Li

“…Experimental validation was conducted to confirm the feasibility and accuracy of the numerical simulation model, with the simulation errors of atomization angle within 10% compared to experimental data. …”
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Construction of a Class of Higher-Order Iterative Techniques and its Convergence in Banach Spaces by Sattam Alharbi, Gagan Deep, Ramandeep Behl, Abdulaziz Mutlaq Alotaibi

“…Our scheme not only achieves smaller absolute residual errors, reduced differences between successive iterations, and requires fewer iterations to reach the desired accuracy compared to existing methods, but it also demonstrates lower CPU time consumption and stable convergence order. …”
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Research on the Sensitivity Enhancement Method of Inductive Conductivity Sensors Based on Impedance Matching by Yang Li, Rongxing Yu, Zhiqiang Liu, Yujie Gao, Chengxu Tang, Qiao Li, Chao Yuan

“…Furthermore, while the impedance matching improves sensitivity, it also introduces some nonlinear errors, which are evaluated using a performance function that balances sensitivity and linearity. …”
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Regression Model Employing Spiking Neural Network for Bio-Signal Analysis With Hardware Integration by Choongseop Lee, Geunbo Yang, Jaewoo Baek, Yuntae Park, Mingyu Cheon, Jongkil Park, Cheolsoo Park

“…We evaluated the regression errors of our model using three distinct elctrocardiogram datasets and assessed its performance on neuromorphic hardware by embedding spike-based layers. …”
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Proposal of a New Isogeny-Based Cryptographic Protocol: Formal Analysis and Comparison by mohammed EL BARAKA, Siham Ezzouak

“…The proposed protocol‎, ‎Isogeny-Based Key Exchange with Error-Correcting Codes (IKEC)‎, ‎offers enhanced security‎, ‎computational efficiency‎, ‎and practical applicability‎, ‎making it a viable alternative to existing schemes like SIDH‎. ‎…”
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