Enhancing Log-Likelihood Ratios with Mutual Information on Three-Reader One-Track Detection in Staggered BPMR Systems by Natthakan Rueangnetr, Santi Koonkarnkhai, Piya Kovintavewat, Simon John Greaves, Chanon Warisarn

“…Next, using these mutual data sequences, four novel techniques are presented to enhance bit-error rate (BER) performance and detection accuracy: hard-information flipping, maximum soft-information finding, bit-summation detection, and multilayer perceptron (MLP). …”
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The Redshift-space Momentum Power Spectrum. III. Measuring the Growth Rate from the SDSSv Survey Using the Auto- and Cross-power Spectrum of the Galaxy Density and Momentum Fields by Fei Qin, Cullan Howlett, David Parkinson

“…The large-scale structure of the Universe and its evolution over time contains an abundance of cosmological information. One way to unlock this is by measuring the density and momentum power spectrum from the positions and peculiar velocities of galaxies and fitting the cosmological parameters from these power spectra. …”
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On QoS evaluation for ZigBee incorporated Wireless Sensor Network (IEEE 802.15.4) using mobile sensor nodes by Vishal Kumar Arora, Vishal Sharma, Monika Sachdeva

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Noise immunity of QAM-OFDM signal reception using soft-decision demodulation in the presence of narrowband interference by A. A. Paramonov, V. V. Chu

“…A considerable amount of numerical results were obtained which show the dependence of the transmitted information bit error rate on M, as well as on the signal-to-noise ratio, signal-to-narrowband interference, and code rates.Conclusions. …”
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Performance Analysis of RIS-Aided Hybrid RF-FSO Communications With Index Modulation by Yuna He, Wenchao Qi, Pengfei Shen, Lu Lu

“…Link switching is performed through index modulation, where the selection of the transmission link conveys information bits. We derive exact closed-form expressions for the probability density function (PDF), cumulative distribution function (CDF), and moment-generating function (MGF) of the signal-to-noise ratio (SNR) for RIS-assisted FSO links. …”
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Machine learning-based prediction of LDL cholesterol: performance evaluation and validation by Jing-Bi Meng, Zai-Jian An, Chun-Shan Jiang

“…Predictive performance was evaluated using R-squared (R2), mean squared error (MSE), and Pearson correlation coefficient (PCC) against measured LDL-C values. …”
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Mt or not Mt: Temporal variation in detection probability in spatial capture-recapture and occupancy models by Sollmann, Rahel

“…I simulated data under different scenarios of temporal and spatio-temporal variation in detection, analyzed data with the data-generating model and an alternative model ignoring temporal variation in detection, and compared estimates between these two models with respect to relative bias, coefficient of variation (CV) and relative root mean squared error (RMSE). SCR model estimates of abundance, the density-covariate coefficient β and the movement-related scale parameter of the detection function σ were robust to ignoring temporal variation in detection, with relative bias, CV and RMSE of the two models generally being within 4% of each other. …”
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Physics-Informed Neural Networks for Advanced Thermal Management in Electronics and Battery Systems: A Review of Recent Developments and Future Prospects by Zichen Du, Renhao Lu

“…Notably, research combining PINNs with LSTM networks for battery thermal management at a 2.0 C charging rate has achieved impressive results—an R² of 0.9863, a mean absolute error (MAE) of 0.2875 °C, and a root mean square error (RMSE) of 0.3306 °C—demonstrating high predictive accuracy. …”
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Impacts of Reference Precipitation on the Assessment of Global Precipitation Measurement Precipitation Products by Ye Zhang, Leizhi Wang, Yilan Li, Yintang Wang, Fei Yao, Yiceng Chen

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Design of Constant Modulus Radar Waveform for PSD Matching Based on MM Algorithm by Hao Zheng, Chaojie Qiu, Chenyu Liang, Junkun Yan

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Combining first principles and machine learning for rapid assessment response of WO3 based gas sensors by Ran Zhang, Guo Chen, Shasha Gao, Lu Chen, Yongchao Cheng, Xiuquan Gu, Yue Wang

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An Efficient Flicker-Free FEC Coding Scheme for Dimmable Visible Light Communication Based on Polar Codes by Junbin Fang, Zhen Che, Zoe Lin Jiang, Xiaolong Yu, Siu-Ming Yiu, Kui Ren, Xiaoqing Tan, Zhe Chen

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Comparative analysis of seasonal wind power using Weibull, Rayleigh and Champernowne distributions by Bienvenu Sumaili Ndeba, Omaima El Alani, Abdellatif Ghennioui, Mostafa Benzaazoua

“…Wind speed data at 10 m hub height over three years (2021–2023) from Ben Guerir, Morocco, were analyzed using statistical metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Bias Error (MBE), Coefficient of Determination (R2), Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC). …”
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Improving Windowed Decoding of SC LDPC Codes by Effective Decoding Termination, Message Reuse, and Amplification by Inayat Ali, Jong-Hwan Kim, Sang-Hyo Kim, Heeyoul Kwak, Jong-Seon No

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INDIRECT METHODS FOR DETERMINING THE MASS OF LIQUEFIED NATURAL GAS IN CRYOGENIC TRANSPORTATION TANKS by I. S. Medvedkov

“…The calculation of the mass of the cryogenic vapor-liquid medium is associated with the determination of the density of the vapor and liquid phases. The densities of media, in turn, depend on their component  composition, pressure, and temperature, which, in general, cannot be  determined reliably without direct measurements. …”
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Extension urbaine et densité de la population à Kinshasa : contribution de la télédétection satellitaire by Eléonore Wolff, Virginie Delbart

“…The measurement of their areas underlined significant errors compared to areas mentioned in the census of 1984. …”
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Drag Coefficient Constraints for Space Weather Observations in the Upper Thermosphere by Valerie Bernstein, Marcin Pilinski

“…As such, existing drag coefficient model errors and corresponding errors in orbit‐derived density data sets and models may be altitude and solar cycle dependent with greater errors at higher altitudes around 500 km near the oxygen‐to‐helium transition region. …”
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Accurate Deep Potential Model of Temperature-Dependent Elastic Constants for Phosphorus-Doped Silicon by Miao Gao, Xiaorui Bie, Yi Wang, Yuhang Li, Zhaoyang Zhai, Haoqi Lyu, Xudong Zou

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Mapping of radioactive contamination with predetermined confidence level by Yu. V. Khomutinin, S. E. Levchuk, V. P. Protsak, V. O. Kashparov

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Knowledge Discovery Using Clustering Methods in Medical Database: A Case Study for Reflux Disease by Fatma Rıdaouı, Yunus Doğan

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