A New Kibria-Lukman-Type Estimator for Poisson Regression Models by Cemal Çiçek, Kadri Ulaş Akay

“…One of the most important models for the analysis of count data is the Poisson Regression Model (PRM). …”
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Minor variant detection in amplicons using 454 massive parallel pyrosequencing: experiences and considerations for successful applications by Ina Vandenbroucke, Herwig Van Marck, Peter Verhasselt, Kim Thys, Wendy Mostmans, Stéphanie Dumont, Veerle Van Eygen, Katrien Coen, Marianne Tuefferd, Jeroen Aerssens

“…Especially for this application, errors that might be introduced during any of the sample processing or data analysis steps should be avoided or at least recognized, as they might lead to aberrant sequence variant calling. …”
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The impact of building information modeling on reducing greenhouse gases through design validation by Chijoo Lee

“…The study focuses on reducing waste in construction materials, transportation, and recycling, with the analysis grounded on expert opinions using fuzzy theory and life cycle inventory data. …”
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Development of a standardized data collection and intelligent fabric quality prediction system for the weaving department by Ning Dai, Lunjun Li, Kaixin Xu, Zhehao Lu, Xudong Hu, Yanhong Yuan

“…A comparative analysis with traditional BP and PSO-BP prediction models was conducted, ultimately verifying the feasibility of using OPC UA to transmit weaving data for fabric quality prediction. …”
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A novel low complexity, low latency rate 1/2 FEC code by Maan A.S. Al-Adwany, Mohammed H. Al-Jammas, Hind Th. Hamdoon

“…Accordingly, the proposed code is suitable for applications that require a good balance between error correction and data rate.…”
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A Comprehensive Monte Carlo Simulation Study on Multiple Comparison Methods after ANOVA by Hanife Avcı, Osman Dağ

“…Multiple comparison methods are applied to control the type I error rate at the nominal level. In this study, we investigate the performance of multiple comparison methods after analysis of variance (ANOVA) is implemented under different conditions. …”
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Assimilating Tianmu‐1 RO Data From a 23‐Satellite Constellation to Enhance the Track Forecasts of Typhoon Gaemi (2024) by S. Yang, X. Zou

“…This study evaluates the impact of assimilating Tianmu‐1 RO data in the Gridpoint Statistical Interpolation data assimilation & Weather Research and Forecasting (WRF) system on enhancing the forecast of Typhoon Gaemi (2024). …”
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On the modification of bit-flipping decoder of LDPC-codes by S. S. Gurskiy, N. S. Mogilevskaya

“…In the model, the initial data is encoded with a given LDPC-code, then it is made noisy by additive uniformly distributed errors, and thereafter, it is decoded in turn by the bit-flipping algorithm with different threshold T parameters, as well as by a modified decoder. …”
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A Novel System for Confidential Medical Data Storage Using Chaskey Encryption and Blockchain Technology by Aymen Mudheher Badr, Lamia Chaari Fourati, Samiha Ayed

“…This paper presents a new scheme for secure storage of medical data using Chaskey cryptography and blockchain technology. …”
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Multi-model learning for vessel ETA prediction in inland waterways using multi-attribute data by Abdullah Al Noman, Anton Zitnikov, Aaron Heuermann, Klaus-Dieter Thoben

“…Analysis indicates that upstream movements and shorter segments yield lower errors. …”
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Matrix technology of measurements. Path to nanometers by A.N. Korolev, A.Y. Lukin, Y.V. Filatov, V.Y. Venediktov

“…The analysis of the data obtained made it possible to determine a random component of the measurement error, separating it from the changes caused by thermal deformations. …”
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A Study on Improving of Adaptive Sensorless Control Performance via Funnel Control by Jun-Seo Han, Gyung-Jae Cho, Hyeon-Ji Jin, Geun-Ho Lee

“…Model-based sensorless control estimates the position and speed of an actual motor by interpreting the error between the values calculated by the observer and obtaining the data from the actual motor as an error due to position and speed. …”
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Islamic Banking in Indonesia: Assessing the Impact of Economic Turbulence and Market Dynamics on Credit Portfolios by Faizul Mubarok, Martino Wibowo, Kabul Wahyu Utomo, Saif Ur Rahman

“…It is driven by the need to understand how external shocks and policy variables affect Islamic financing behavior. Utilizing monthly data from 2002 to 2023, the study employs a Vector Error Correction Model (VECM), Impulse Response Function (IRF), and Forecast Error Variance Decomposition (FEVD) to analyze both short- and long-term dynamics. …”
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ST-MSRN: An enhanced spatio-temporal super-resolution model for complex meteorological data reconstruction by Ping Mei, Zhi Yang, Changzheng Liu, Lei Wang, Zixin Yin

“…The application of AI and machine learning techniques to meteorological data has significantly enhanced the accuracy and response speed of extreme weather warnings, as well as the analysis of climate trends. …”
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Optimum Block Size in Separate Block Bootstrap to Estimate the Variance of Sample Mean for Lattice Data by M. Mohammadzadeh

“…The statistical analysis of spatial data is usually done under Gaussian assumption for the underlying random field model. …”
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Modified COST-235 Empirical Pathloss Model for Agricultural WSN Using Particle Swarm Optimization by Syahfrizal Tahcfulloh, Etty Wahyuni, Dwi Santoso, Rizkyandi Juliannanda

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National administrative record linkage between specialist community drug and alcohol treatment data (the National Drug Treatment Monitoring System (NDTMS)) and inpatient hospitalis... by Katie L Harron, Martin White, Emmert Roberts, Matthew Hotopf, Colin Drummond, James C Doidge, Jonathan Knight, Brian Eastwood

“…Predictors for linkage error were identified, and inverse probability weighting was used to interrogate any potential impact on the analysis of length of hospital stay.Results 79.7% (n=213 814) people were linked to at least one HES record, with an estimated overall sensitivity of between 82.5% and 83.3%, and a precision of between 90.3% and 96.4%. …”
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Integration of Sensor Data and Mathematical Modeling of Underwater Robot Behavior Using a Digital Twin by M. D. Gladyshev, A. V. Rybakov

“…The Arduino IDE platform was used as software for low-level programming, as well as MATLAB and Python for data analysis and graphing.Results. To verify the model, experiments were conducted on a physical model. …”
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Condensing Test of R404A Outside Horizontal Enhanced Tubesand Method of Data Processing by Ouyang Xinping, Yuan Daoan, Zhang Tongrong

“…Theoretical analysis and experimental studies show that the Gnielinski method is more appropriate to process the experiment data of doubly-enhanced tubes inside and outside surface heat transfer coefficients than the Wilson graphical method which will engender great error. …”
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A framework of crop water productivity estimation from UAV observations: A case study of summer maize by Minghan Cheng, Ni Song, Josep Penuelas, Matthew F. McCabe, Xiyun Jiao, Yuping Lv, Chengming Sun, Xiuliang Jin

“…Key scientific findings demonstrate: (1) SEBAL outperformed FAO-56 in daily ET estimation (R² = 0.76 vs. 0.71, RMSE = 1.15 vs. 1.31 mm/d). (2) The machine learning yield model exhibited robust predictive capability (R² = 0.77, RMSE = 0.98 t/ha), successfully capturing yield variability across treatments. (3) Error propagation analysis validated framework reliability (CWP RMSE = 0.67 kg/m³), effectively differentiating CWP performance among management practices. …”
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