A novel low complexity, low latency rate 1/2 FEC code by Maan A.S. Al-Adwany, Mohammed H. Al-Jammas, Hind Th. Hamdoon

“…In this paper, a relatively simple and low complexity rate 1/2 FEC (Forward Error Correction) code has been proposed. …”
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Research and Simulation of Metro Pantograph-catenary SystemBased on Least Square Support Vector Machine by Jiang Wei, Huang Yuping

“…A model of pantograph-catenary system based on the error correlation was put forward, and the least squares supportvector machine (LSSVM) method was used to study the parameters of the model. …”
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Challenges and best practices for moving forward in interprofessional collaboration in critical care units: nurses’ perspectives by Amina Hemida Salem Ghattas, Hala Ahmed Abdou

“…Quantitative data were analyzed using t-tests, one-way ANOVA, and Pearson correlations, with 𝑝 < 0.05 considered statistically significant. …”
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Peering into the Black Box: Forward Modeling of the Uncertainty Budget of High-resolution Spectroscopy of Exoplanet Atmospheres by Arjun B. Savel, Megan Bedell, Eliza M.-R. Kempton, Peter C. B. Smith, Jacob L. Bean, Lily L. Zhao, Kaze W. K. Wong, Jorge A. Sanchez, Michael R. Line

“…Ground-based high-resolution cross-correlation spectroscopy (HRCCS; R  ≳ 15,000) is a powerful complement to space-based studies of exoplanet atmospheres. …”
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Advanced ERT techniques for methane potential evaluation in controlled dump sites: A forward modeling approach by Pornchanok Boonsakul, Desell Suanburi, Sirintornthep Towprayoon, Chart Chiemchaisri, Komsilp Wangyao

“…The results were compared with synthetic data simulated using the forward modeling technique, and the model's accuracy was evaluated using the Nash-Sutcliffe model efficiency coefficient (NSE), model sensitivity, and root mean square error (RMSE). …”
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Forward simulation of thin ice backscatter mechanism in the Bohai Sea region based on the MSIB and SMRT coupling model by Zhe Wang, Hong Zhang, Lu Xu, Zihuan Guo, Yujia Qiu, Xiaoming Li

“…However, systematic research employing forward modeling to specifically examine how different sea ice physical properties influence backscattering remains limited. …”
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Artificial Intelligence-Based Techniques for Fouling Resistance Estimation of Shell and Tube Heat Exchanger: Cascaded Forward and Recurrent Models by Ikram Kouidri, Abdennasser Dahmani, Furizal Furizal, Alfian Ma’arif, Ahmed A. Mostfa, Abdeltif Amrane, Lotfi Mouni, Abdel-Nasser Sharkawy

“…Additionally, statistical analysis, including error histograms and correlation analysis, further confirms the robustness of the proposed models. …”
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Enhancing Financial Resilience: A Critical Analysis of FX Derivative Risk Disclosures and the Path Forward with the Delta-Transparency Framework by Zeng Wenqian

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Research on Correlation of the Flow Condensation Pressure Drop inside the Micro-fin Tube by Shen Daoming, Liu Yaping, Gui Chao, Xia Jinhong, Xue Songtao

“…Based on the pressure drop experimental data of R134a, the functional relationship between Фv/Фl and Xtt was fitted again and referred to the computing mechanism of Goto et al. for correlation. Then, a new correlation for predicting the pressure drop inside the tube is put forward, and statistic test shows that the prediction error of the new correlation is within ±30% and the average prediction error is less than 10%.…”
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Prediction of strength parameters of concrete containing different additives using optimized neural network algorithm by Behzad Haseli, Gholamreza Nouri, Meysam Mardi, Ehsan Adili, Mohammad Bahari

“…In this research, a multilayer feed-forward backpropagation error neural network has been used to predict the strength parameters of a concrete sample containing different additives. …”
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Aortic pressure and forward and backward wave components in children, adolescents and young-adults: Agreement between brachial oscillometry, radial and carotid tonometry data and a... by Agustina Zinoveev, Juan M Castro, Victoria García-Espinosa, Mariana Marin, Pedro Chiesa, Daniel Bia, Yanina Zócalo

“…Systematic and proportional errors were observed; errors´ statistical significance and values varied depending on the parameter analyzed, methods compared and group considered. …”
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Carrier frequency offset and time synchronization estimation based on new autocorrelation over fading channel by WANG Yong, LIAO Gui-sheng, WANG Xi-yuan

“…A kind of carrier frequency offset estimation algorithm was brought forwards that could be applied in frequency selective fading channel for the multi-antenna system.The algorithm used the given training sequences,assisted-data method to estimate frequency offset and new self-correlation definition to fulfill time synchronization.It was not sensitive to clock synchronization error,and could work under multiple sampling rates.Moreover,it was easy to be realized and had high precision.…”
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Psychometric properties of the arabic version of occupational value with pre-defined ítems by Mona Eklund, Lisa Ekstam, Mariam Hassan, Pablo Bellosta-López

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Machine Learning Approaches for One-Day Ahead Soil Temperature Forecasting by Mehmet Bilgili, Şaban Ünal, Aliihsan Şekertekin, Cahit Gürlek

“…Forecasting values of the machine learning models were compared with actual data by assessing with respect to four statistic metrics such as the mean absolute error, root mean square error (RMSE), Nash−Sutcliffe efficiency coefficient, and correlation coefficient (R). …”
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PCA clustering algorithm for indoor positioning in WLAN by Mingji YANG, Kaiyi LIU, Dan SHAO

“…In WLAN indoor location system,aiming at the problem of time-varying characteristic of received signal strength (RSS) which reduces indoor positioning accuracy,a clustering algorithm based on principal component analysis (PCA) albino RSS was put forward.The algorithm firstly treated the RSS with PCA whitening treatment to remove the correlation and improve reliability and rationality of the cluster centers.Then,K-means clustering method was used to cluster the RSS and the clustering accuracy was improved effectively,so as to improve positioning accuracy.Experimental results show that compared with the traditional clustering algorithm without PCA,probability of positioning error within 2 meters has improved 44.8% in positioning accuracy,and the performance of positioning system has been more excellent.…”
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Critical evaluation of feature importance assessment in FFNN-based models for predicting Kamlet-Taft parameters by Yoshiyasu Takefuji

“…Mohan et al. developed a feed-forward neural network (FFNN) model to predict Kamlet-Taft parameters using quantum chemically derived features, achieving notable predictive accuracy. …”
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Estimation of cervicocephalic kinesthetic perception and its correlation with fall risk in adults with diabetes and without diabetes experiencing cervical pain: A comparative study... by Shilpi Anand, Divya Aggarwal, Sahar Zaidi, Himani Kaushik, Irshad Ahmad, Debjani Mukherjee, Ghada Mohammed Koura, Emadeldin Mohammed Mukhtar, Nasrin Mansuri, Fuzail Ahmad, Ravi Shankar Reddy, Muhammad Sufyan

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Impact of cranio-vertebral angle on the severity of cervicogenic dizziness and cervical proprioception in cervical radiculopathy patients: a case controlled study by Ashraf A. Darwesh, Sara Abdelrahman, Ebtesam Fahmy, Sarah Heneidy, Mohamed H. Marzouk

“…Abstract Background Forward head posture (FHP) that affects on the degree of cranio-vertebral angle (CVA) is the problem of the era. …”
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Earthquake Forecasting Based on <i>b</i> Value and Background Seismicity Rate in Yunnan Province, China by Yuchen Zhang, Rui Wang, Haixia Shi, Miao Miao, Jiancang Zhuang, Ying Chang, Changsheng Jiang, Lingyuan Meng, Danning Li, Lifang Liu, Youjin Su, Zhenguo Zhang, Peng Han

“…In a previous study, we evaluated the performance of the <i>b</i> value for 5-year seismic forecasting during 2000–2019 and made a forward prediction of M ≥ 5.0 earthquakes in 2020–2024. …”
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Should We Reconsider RNNs for Time-Series Forecasting? by Vahid Naghashi, Mounir Boukadoum, Abdoulaye Banire Diallo

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