Аnalysis of cointegration relationships between Аzerbaijan’s balance of payments and world oil prices by N. S. Ayyubova

“…The purpose of the study is to investigate the impact of rising oil prices on Azerbaijan’s balance of payments using a vector error correction model (VECM). In the paper, the analysis correctly applied econometric methods, the necessary statistical procedures to determine the order of integration of non-stationary time series of Azerbaijan’s current account balance and the prices of Brent crude oil and West Texas Intermediate, covering the period from 1995 to 2024, to identify and evaluation of the model parameters to check the adequacy and validity of the forecast values both in the short term and in a long term. …”
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A Novel Approximation Method for Solving Ordinary Differential Equations Using the Representation of Ball Curves by Abdul Hadi Bhatti, Sharmila Karim, Ala Amourah, Ali Fareed Jameel, Feras Yousef, Nidal Anakira

“…Numerical methods are frequently developed to investigate concepts for approximately solving ordinary differential equations (ODEs). To achieve minimal error and higher accuracy in approximate solutions, researchers have focused on developing algorithms using various numerical techniques. …”
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Accelerated preprocessing in task of searching substrings in a string by A. V. Mazurenko, N. V. Boldyrikhin

“…The preprocessing procedure proposed in this paper is based on the communication between the suffix array built on the ground of a set of pattern strings and the construction of transition and error functions at the initial stages of the Aho-Corasick algorithm. …”
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Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions by Ruoqi Wang, Yagang Lu, Dengsheng Lu, Guiying Li

“…Specifically, we proposed a sectional photon denoising method for processing ICESat-2 data and a geolocation error correction method for processing GEDI data. …”
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Precise GNSS-acoustic seafloor positioning with sound speed from global ocean analysis by Yang Liu, Tianjie Shi, Yanxiong Liu, Shengli Wang, Guanxu Chen, Menghao Li, Qiuhua Tang, Yikai Feng

“…Compared with the in situ profile, the Munk SSP has little impact on the GNSS-A horizontal position (0.6 cm in root-mean-square, RMS) but introduces a large systematic error in the vertical position (10.3 cm in RMS), and the impact on the displacement velocity is at the mm/a level. …”
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Evaluation and estimation of changes in water quality using zoning map and researchers-developed software (case study: Pir-Bazar river) by Majid Homami, Seyed Ahmad Mirbagheri, Seyed Mehdi Borghei, Madjid Abbaspour

“…In this research, zoning maps were prepared and the status of present and future water quality parameters of the basin were accurately estimated using a researchers software-developed application and the five interpolation methods of Kriging, S-PLUS, polynomial regression, inverse distance to power, and local polynomial; and finally the optimal method was selected through a root-mean-square error (RMSE) based cross validation approach.  …”
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Polar lights optimizer: A novel algorithm for accurate parameter estimation in proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Ali Fayez Alkoradees, Mohammad Khishe, Reena Jangid

“…The proposed algorithm consistently outperforms its competitors, achieving the lowest Sum of Squared Errors (SSE) and fastest convergence rates. The PLO algorithm generates SSE results of 0.025493 for BCS 500 W and 0.275211 for Nedstack 600 W PS6 and 0.283774 for STD 250 W Stack while keeping AE at 0.259293 and RE% at 1.185075 for the STD 250 W Stack. …”
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A Two-way Crossed Effects Fuzzy Panel Linear Regression Model by Gholamreza Hesamian, Arne Johannssen

“…For this purpose, the conventional least absolute error technique is employed. Two real data sets are analyzed to investigate the fitting and predictive capabilities of the proposed fuzzy panel regression model. …”
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High-efficiency solar-pumped lasers by Dawei Liang, Hugo Costa, Bruno D. Tibúrcio, Cláudia R. Vistas, Joana Almeida

“…Furthermore, the significance of multi-thin-rod laser systems is highlighted, as they can help produce multiple high-quality laser beams, mitigate thermal load issues typically associated with solid-state lasers and compensate for solar tracking errors. Not less importantly, this paper also outlines methodologies for analyzing solar laser output power, both theoretically and numerically via simulation tools (Zemax® and LASCAD™ software).…”
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Numerical Approximations and Fractional Calculus: Extending Boole’s Rule with Riemann–LiouvilleFractional Integral Inequalities by Abdul Mateen, Wali Haider, Asia Shehzadi, Hüseyin Budak, Bandar Bin-Mohsin

“…These newly established inequalities offer sharper error bounds for various numerical quadrature formulas in classical calculus, marking a significant advancement in computational mathematics. …”
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Some new QEC MDS codes with large minimum distance by Lanqiang Li, Fuyin Tian, Ziwen Cao, Li Liu

“…Abstract The advancement of Quantum Error-Correcting (QEC) Maximum Distance Separable (MDS) codes holds substantial importance in practical applications, substantially augmenting the reliability and efficiency of quantum communication and computing. …”
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A Dual-unknown-input Self-calibration Filtering Method by FU Huimin, YANG Haifeng

“…In many engineering fields, such as communication, navigation, guidance and control, fault diagnosis and so on, state equations and measurement equations often contain unknown inputs(systematic errors) due to the influence of environmental factors, improper selection of models and parameters, and failure of measuring equipment. …”
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Low complexity hybrid iterative algorithm based signal detection in massive MIMO system by Shufeng ZHAO, Bin SHEN, Furong YANG

“…Among the uplink signal detection algorithms for massive MIMO systems,the minimum mean square error (MMSE) algorithm can achieve the near-optimal linear detection performance.However,conventional MMSE usually involves high complexity due to the required matrix inversion of large-size matrix,which makes it hard to implement in realistic applications.Based on joint steepest descent (SD) algorithm and Gauss-Seidel iteration,a low complexity hybrid iterative detection algorithm was proposed.The SD algorithm was employed to obtain an efficient searching direction for the following Gauss-Seidel to speed up convergence.Meanwhile,an approximated method was also proposed to compute the bit log-likelihood ratio (LLR) for soft channel decoding.Simulation results verify that the proposed algorithm can converge rapidly and achieve its performance quite close to that of the MMSE algorithm with only a small number of iterations.Meanwhile,the complexity is reduced by an order of magnitude,which is kept consistently of O(K ²).…”
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RTL development of a parameterizable Reed–Solomon Codec by Mateus G. Silva, Guilherme L. Silvano, Ricardo O. Duarte

“…Abstract Error correction coding (ECC) methods have been considered essential constituents of data transmission systems. …”
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Machine Learning based OTN Network Performance Degradation Prediction by CHEN Liping, LIAO Liang, ZHANG Peng, ZHU Dehan, PENG Zhichong, ZHOU Hao

“…【Objective】This paper aims to address the challenge of predicting performance degradation (frame transmission errors) in Optical Transport Network (OTN). Frame error performance metrics in OTN rely on the detection of Bit Interleaved Parity (BIP) bytes in OTN frame overhead, which are periodically calculated by network management systems. …”
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Impact of Weather Factors on Unmanned Aerial Vehicles’ Wireless Communications by Lalan Mishra, Naima Kaabouch

“…As the applications of unmanned aerial vehicles (UAV) expand, reliable communication between UAVs and ground control stations is crucial for successful missions. …”
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Singular Value Decomposition (SVD) Method for LiDAR and Camera Sensor Fusion and Pattern Matching Algorithm by Kaiqiao Tian, Meiqi Song, Ka C. Cheok, Micho Radovnikovich, Kazuyuki Kobayashi, Changqing Cai

“…Experimental results on a vehicle-mounted sensing platform demonstrate an alignment accuracy improvement of up to 85%, with the final projection error reduced to less than 1 pixel. This pattern-based SVD-GD framework offers a practical solution for maintaining reliable cross-sensor alignment under calibration drift, enabling real-time perception systems to operate robustly without recalibration. …”
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A Unified Denoising Framework for Restoring the LiDAR Point Cloud Geometry of Reflective Targets by Tianpeng Xie, Jingguo Zhu, Chunxiao Wang, Feng Li, Zhe Meng

“…The experimental results showed that the method achieved a mean square error (MSE) of 0.15 cm², a mean city-block distance (MCD) of 0.05 cm, and relative height and width errors of 1.92% and 1.91%, respectively. …”
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MobNas ensembled model for breast cancer prediction by Tariq Shahzad, Sheikh Muhammad Saqib, Tehseen Mazhar, Muhammad Iqbal, Ahmad Almogren, Yazeed Yasin Ghadi, Mamoon M. Saeed, Habib Hamam

“…By deploying MobileNetV2, it is easy to work well on devices with less computational capability than is used by NASNetLarge, which enhances its applicability and effectiveness in other tasks. The performance of the proposed MobNAS model was tested on the breast cancer image dataset, and the accuracy level achieved was 97%, the Mean Absolute Error (MAE) was 0.05, and the Matthews Correlation Coefficient (MCC) was 95%. …”
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Ornstein–Uhlenbeck Adaptation as a Mechanism for Learning in Brains and Machines by Jesús García Fernández, Nasir Ahmad, Marcel van Gerven

“…Using an Ornstein–Uhlenbeck process with adaptive dynamics, our method balances exploration and exploitation during learning, driven by deviations from error predictions, akin to reward prediction error. …”
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