Data-Driven and Mechanistic Soil Modeling for Precision Fertilization Management in Cotton by Miltiadis Iatrou, Panagiotis Tziachris, Fotis Bilias, Panagiotis Kekelis, Christos Pavlakis, Aphrodite Theofilidou, Ioannis Papadopoulos, Georgios Strouthopoulos, Georgios Giannopoulos, Dimitrios Arampatzis, Evangelos Vergos, Christos Karydas, Dimitris Beslemes, Vassilis Aschonitis

“…This hybrid approach enhances yield prediction by combining data-driven ML techniques with soil process modeling. …”
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Cointegration Analysis of Trade and Economıc Cooperatıon Between Russıa and Azerbaijan Under Sanction Conditions by R. V. Yuniszada

“…The study included statistical processing of initial data, the construction of a formal regression model, Granger causality analysis, and the application of Granger-Johansen cointegration analysis. …”
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Research on Data Processing Algorithm for AC Drive Test System by ZHOU Xiaoling, WANG Yimin, CHENG Hao, LIU Hulin

“…In order to accurately and quickly calculate the characteristic values of the signal, this paper firstly introduced the basic principle of an AC drive test system, then analyzed in detail and test the data processing algorithm for full cycle fast interception, whole cycle number selection, harmonic analysis and power calculation, and the results show that the degree of software data processing accuracy is of 1 ‰. …”
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Corporate Governance Reform and Real Earnings Management in Nigeria: An Analysis of pre and post mandatory Code of 2018 by Armaya’u Alhaji Sani

“…The paper addressed the question of whether corporate board attributes constrain the effect of REM before and after the mandatory code of 2018 in Nigeria. The data was analysed using panel corrected standard Error (PCSE). …”
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Prevalence of oculomotor, binocular vision anomalies and refractive error among children with cerebral palsy in WHO South-East Asia: A protocol of systematic review and meta-analys... by Radhika R P, Bhamini Krishna Rao, Shonraj Ballae Ganesh Rao, Nachiket Gudi, Shradha Parsekar, Revathy Mani

“…RevMan V.5 will be used to analyse the data.…”
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# Language processing characteristics in normal pressure hydrocephalus: insights from eye-tracking analysis of incorrect responses by Ji-Yeong Kim, Jiho Lee, Nayeon Kim, Ki-Su Park, Janghyeok Yoon, Kyunghun Kang, Ji-Wan Ha

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Modeling Burst Error Processes in ITU-T G.hnem-Based PLC Systems: Noisy Indoor Environment Analysis Using a Generative Semi-Hidden Markov Model by Akintunde Oluremi Iyiola, Theo G. Swart, Ayokunle Damilola Familua, Thokozani Shongwe

“…Using this experimental setup, we generated and analyzed a dataset of 200,000 transmitted bits, capturing the characteristics of burst errors under realistic indoor noise conditions. A comparative analysis of reference error sequences and SHMM simulations demonstrates the model’s ability to accurately replicate NB-PLC-specific error dynamics, including error clustering and state transitions. …”
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Method of Load Forecasting in Microgrid Based on Differential Expansion of Small Sample Data by Wei JIA, Yuchun HUANG

“…The capacity expansion method can eliminate the uncertainty of load data. Considering the influencing factors such as meteorology and population, using multiple regression analysis to fit the impact of various related factors on the load, the original data load forecasting model was used as a control, and practicality and accuracy of the expansion method in this paper was verified by comparing the error between the predicted result and the actual load.…”
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FSO Communication: Benefits, Challenges and Its Analysis in DWDM Communication System by Muhammad Faisal Nadeem Khan, Haleema Khalil, Farhan Qamar, Mudassar Ali, Romana Shahzadi, Nouman Qamar

“…Many important parameters such as distance, data rate, bit error rate, amplifier gain, transmitter power, and attenuation under different weather conditions are tested in this research work. …”
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Development of Battery Electric Vehicle's Driving Cycle in the Mountain Environment Based on Big Data by Shujiang Zhu, Tingting Xu, Fangjia Long, Xiaorui Hu

“…Through error analysis, the characteristic deviation error of the smallest curve is selected as a representative of the working condition to determine the representative of the vehicle and battery working conditions. …”
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A case study of fractional-order varicella virus model to nonlinear dynamics strategy for control and prevalence by Nisar Kottakkaran Sooppy, Farman Muhammad, Ghannam Manal, Hincal Evren, Sambas Aceng

“…Finally, using a two-step Newton polynomial technique, numerical simulations of the effects of various parameters on infection are used to explore the impact of the fractional operator on different conditions and population data. Chaos analysis and error analysis revealed the accuracy and precessions of solutions in the viable range. …”
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Transfer learning for accelerated failure time model with microarray data by Yan-Bo Pei, Zheng-Yang Yu, Jun-Shan Shen

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A Comparative Analysis of Traditional SARIMA and Machine Learning Models for CPI Data Modelling in Pakistan by Moiz Qureshi, Arsalan Khan, Muhammad Daniyal, Kassim Tawiah, Zahid Mehmood

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Analysis of Moving Object Imaging from Compressively Sensed SAR Data in the Presence of Dictionary Mismatch by Ahmed Shaharyar Khwaja, Muhammad Naeem, Alagan Anpalagan

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A study on the new logarithmic-G family with statistical properties, simulations, and different data analysis by Aijaz Ahmad, Afaq Ahmad, Yusra A. Tashkandy, M. E. Bakr, Getachew Tekle Mekiso, Oluwafemi Samson Balogun, Ahmed M. Gemeay

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Presacral tumors: a retrospective analysis of 112 cases with emphasis on diagnostic challenges and surgical outcomes by Shi Chen, Heng Deng, Ming Li, Xiaoli Fang

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THE PREDICTION OF ENTERPRISES ACTIVITY INDICATORS TAKING INTO ACCOUNT THE INITIAL DATA UNCERTAINTY by Yu. Gagarin, S. Gagarina

“…The mathematical method of making forecasts when the initial data uncertainty have been considered. To obtain point and interval estimates of the parameters of mathematical models that take into account errors in the values of the function and argument, the use methods of confluent analysis has been proposed. …”
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Data-driven models for significant wave height forecasting: Comparative analysis of machine learning techniques by Ahmet Durap

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Improving the Accuracy of Flood Damage Assessments to Residential Structures via the Use of Experimental Data by Anna Katya Opel, Elizabeth Chisolm Matthews

“…., large groups of buildings), a significant analysis error is revealed with small‐scale (i.e., individual, or small groups of buildings) investigation. …”
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Quantifying the foodscape: A systematic review and meta-analysis of the validity of commercially available business data. by Alexandre Lebel, Madeleine I G Daepp, Jason P Block, Renée Walker, Benoît Lalonde, Yan Kestens, S V Subramanian

“…We conclude that current studies may underestimate the quality of CAB data. We recommend that future validation studies use density-adjusted and exposure measures to offer a more meaningful characterization of the relationship of data error with spatial exposure.…”
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