An Algorithm for Estimating the Signal Frequency at the Output of a Channel with a Controlled Information Flow under Phase Noise Conditions by Leonid Nikolaevich Kazakov, Evgenii Pavlovich Kubyshkin, Ilya Victorovich Lukyanov

“…The estimation error is largely determined not by the broadband noise, but by the frequency and phase noise of the local oscillators of the receiving and transmitting devices. …”
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Long-wave infrared computational multispectral metasurface and spectral reconstruction method by Shang Wang, Lidan Lu, Lianqing Zhu

“…Additionally, to evaluate the spectral reconstruction performance of the transmission spectra under different photonic crystals, a spectral reconstruction deep learning network was constructed with the mean squared error is 2.86 $$\times 10^{-3}$$ . This architecture establishes a hardware-algorithm co-design framework for next-generation infrared multispectral systems, demonstrating the potential for integrated superlattice detectors with sub-100 $$\upmu$$ m $$^{2}$$ pixel pitch, which represents a critical advancement for portable spectroscopic applications.…”
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Prototype of Swiftlet Nest Moisture Content Measurement Using Resistance Sensor and Machine Learning by Ratu Anggriani Tangke Parung, Hanna Arini Parhusip, Suryasatriya Trihandaru

“…The results demonstrated a strong correlation between predicted and actual moisture content (R² = 0.9759), with the neural network model attaining a mean squared error (MSE) of 0.01. This method holds significant potential to improve the efficiency and cost-effectiveness of moisture measurement for swiftlet nests and similar applications.…”
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Effectiveness of Explainable Artificial Intelligence (XAI) Techniques for Improving Human Trust in Machine Learning Models: A Systematic Literature Review by In-On Wiratsin, Chaiyong Ragkhitwetsagul

“…The results indicate that XAI techniques significantly enhance user confidence by making ML models more transparent and understandable, facilitating error identification, and promoting better decision-making. …”
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Sparse Representation of Deformable 3D Organs with Spherical Harmonics and Structured Dictionary by Dan Wang, Ahmed H. Tewfik, Yingchun Zhang, Yunhe Shen

“…Specifically, the precision evaluated as maximum error distance between the reconstructed surface and the MRI ground truth is better than 3 mm in real MRI experiments.…”
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Enhancing security and usability with context aware multi-biometric fusion for continuous user authentication by Ayeswarya S., John Singh K.

“…Experimental results demonstrate that the multi-modal fusion approach significantly enhances authentication accuracy, achieving a combined accuracy of 98.25% and an Equal Error Rate (EER) of 2.35%. The system provides seamless and non-intrusive authentication, ensuring high security and improved usability across different contexts. …”
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CrystalShift: A Versatile Command-Line Tool for Crystallographic Structural Data Analysis, Modification, and Format Conversion Prior to Solid-State DFT Calculations of Organic Crys... by Ilona A. Isupova, Denis A. Rychkov

“…It provides a command-line interface, enabling seamless integration into research workflows while addressing specific challenges in crystallography, such as handling non-standard file formats and robust error correction. <i>CrystalShift</i> may be applied for both in-depth study of particular crystal structure origins and the high-throughput conversion of crystallographic datasets prior to DFT calculations with periodic boundary conditions using <i>VASP</i> code.…”
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A combined ML and DFT strategy for the prediction of dye candidates for indoor DSSCs by Carmen Coppola, Anna Visibelli, Maria Laura Parisi, Annalisa Santucci, Lorenzo Zani, Ottavia Spiga, Adalgisa Sinicropi

“…However, such activities are often based on trial-and-error procedures which are frequently expensive and time-consuming. …”
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An Investigation into Item Types and Text Types of Reading Comprehension Section of Iranian PhD Entrance Exams Using G-theory by Masoumeh Ahmadi Shirazi, Seyyed Mohammad Alavi, Hossein Salarian

“…This study investigates some problems of PhD applicants in their entrance exams in the case of answering the reading comprehension questions. …”
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Robust Initialization of Active Shape Models for Lung Segmentation in CT Scans: A Feature-Based Atlas Approach by Gurman Gill, Matthew Toews, Reinhard R. Beichel

“…The mean absolute surface distance error was 0.948 ± 1.537 mm. The initialization as well as segmentation results showed a statistically significant improvement compared to four other approaches. …”
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Analysis of 2D heat transfer of shear wall thermal bridges influencing on the exterior wall by Yan Zhou, Xiaoyu Jin, Yihui Wang, Difang Wei

“…In addition, the maximum error of replacing K2D with K1D discussed in this paper was 3.56%, which can be neglected in engineering applications in hot summer and cold winter climate zones. …”
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Detection and recognition of natural sounds by Kim ABOUCHACRA, Tomasz ŁĘTOWSKI, Jessica GOTHIE

“…In order to decrease the mental workload of the listener, increase the speed of interaction, and minimize the chances for operational error, the audio signals (auditory icons) should have a natural character and clearly differ in their spatial, spectral, and temporal characteristics. …”
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Spinner Innovation: Integrated Model for the Development and Prediction of Innovation by Figueiredo Ronnie

“…For numerous SMEs, innovation resembles a trial-and-error endeavor, often leading to feelings of anxiety and frustration, as resources are seemingly squandered. …”
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Resolver Decoding Method Using Hilbert Transform and ATO by Jiliang Yi, Xuechun Zhou, Huabing Tan, Zhongqi Li

“…The results show that the proposed method can control the decoding error within 0.5° when the SNR is 30 dB, which provides a high-precision and low-cost decoding scheme for practical applications.…”
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A High Accuracy Spatial Reconstruction Method Based on Surface Theory for Regional Ionospheric TEC Prediction by Jian Wang, Yi‐ran Liu, Ya‐fei Shi

“…At the same time, taking parts of Europe as an example, the proposed HASR method is used to determine the correlation coefficients and the number of iterations of the model by using the relative root mean square error (RRMSE) as the evaluation criterion. The statistical results show that the TEC predicted by the HASR method is highly consistent with the actual observed values of ionospheric observation stations, and the prediction RRMSE is 9.75%. …”
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Research on Multi-crane Cooperative Micro-motion Control of Combined Gantry Cranes for Turnout Laying and Replacement of High-speed Railways Based on Self-learning by LYU Maoyin, NIU Xuexin, CHEN Qishen, ZHAN Taiping

“…The experimental results from field operations showcases adopting the control method proposed in this article, stable and reliable rotation and longitudinal movement by the combined gantry cranes, with an operational error of less than 10 mm, achieving full compliance with the requirements of engineering applications demonstrates.…”
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Wavelet Packet Transform based Speech Enhancement via Two-Dimensional SPP Estimator with Generalized Gamma Priors by Pengfei SUN, Jun QIN

“…A minimum mean-square error (MMSE) estimator is obtained based on the generalized gamma distribution speech model in WPT domain. …”
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CPrecNet: Enhanced Nowcast of High‐Resolution Short‐Term Precipitation Using Deep Learning by Jun Park, Changhoon Lee

“…Test results show that CPrecNet outperforms existing models such as Pysteps in root‐mean‐squared error (RMSE) and maintains competitive critical success index performance for various precipitation thresholds. …”
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Transfer Reinforcement Learning-Based Power Control for Anti-Jamming in Underwater Acoustic Communication Networks by Liejun Yang, Yi Chen, Hui Wang

“…The proposed method optimizes the transmission power and relay selection to improve the signal-to-interference-plus-noise ratio (SINR) and reduce the bit error rate (BER). Simulation results demonstrated that the proposed method significantly enhanced the anti-jamming performance and communication efficiency of underwater acoustic communication even in complex interference scenarios.…”
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Insulator Partial Discharge Localization Based on Improved Wavelet Packet Threshold Denoising and <inline-formula><math display="inline"><semantics><mrow><msub><mrow><mi mathvarian... by Hongxin Ji, Zijian Tang, Chao Zheng, Xinghua Liu, Liqing Liu

“…With the sensor array designed in this paper, the relative localization error is 3.46%, and the absolute error is within 6 cm, which meets the requirements of engineering applications.…”
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