Simulation of incremental update of electronic document information based on big data technology by Zhiyuan Jin, Qi Zhang, Tiejun Pan

“…Abstract Experimental results show that the algorithm converges faster and has a smaller average error compared to the BP algorithm and the attribute reduction algorithm. …”
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An asymptotically unbiased 3D source localisation method based on frequencies and angles measurements by Chenggeng Zhao, Heyue Huang, Xingpeng Mao, Junjie Lang, Xiuquan Dou

“…To solve the above problem, a quadratic constraint on least squares minimisation is considered in the bias reduction method. Under moderate Gaussian noise, theoretical analysis and simulation results show that the root mean square error of proposed method can significantly reduce positioning deviation and asymptotically approach the Cramer–Rao Lower Bound. …”
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Optimizing Renewable Energy Integration Using IoT and Machine Learning Algorithms by Orken Mamyrbayev, Ainur Akhmediyarova, Dina Oralbekova, Janna Alimkulova, Zhibek Alibiyeva

“…Results showed significant improvements in forecasting accuracy, with the LSTM model achieving a 59.1% reduction in Mean Absolute Percentage Error compared to the persistence model. …”
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Navigation Decision-Making Method in Estuary Deep Trough with Varying Width of Navigable Waters by HE Yixiong, DAI Yonggang, ZHAO Xingya, YU Deqing, HUANG Liwen

“…In preset scenarios, the method proposed ensures all safe passage targets with adjustments of course 7° to starboard, course 2° to starboard with a telegraph order reduction to forward 1, course 5° to starboard with a telegraph order reduction to forward 1 at 241 s, 1 484 s, and 4 119 s respectively. …”
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Image Compression Using Principle Component Analysis by abbas arab, Jamila harbi, amel abbas

“…Principle component analysis produced reduction in dimension, therefore in our proposed method used PCA in image lossy compression and obtains the quality performance of reconstructed image. …”
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Complex Methodology for Parameter Optimization of Dynamic Injection Regulator Ad- justment by G. T. Kulakov, M. L. Harelyshava

“…This improvement can be achieved while determining dynamic adjustment parameters of automatic regulation systems (ARS) due to reduction of error at approximation of experimental transient characteristics of leading and inertial areas of an object to be regulated by turning to open-closed regulation system and by using an «areas» method.…”
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A Deep Learning Method for Improving Community Multiscale Air Quality Forecast: Bias Correction, Event Detection, and Temporal Pattern Alignment by Ioannis Stergiou, Nektaria Traka, Dimitrios Melas, Efthimios Tagaris, Rafaella-Eleni P. Sotiropoulou

“…Performance evaluation shows notable improvements, with a Root Mean Square Error (RMSE) reduction ranging from 34.11% to 71.63%. …”
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Atmospheric Convection and Aerosol Absorption Boost Wildfire Smoke Injection by Rui Xu, Yan Yu, Xianglei Meng, Huiwen Xue, Chuanfeng Zhao, Jintai Lin

“…The new parameterization, optimized and validated by satellite measurements of smoke extinction profiles above active fires, achieves a 10% reduction in root mean square error and an over 95% reduction in mean bias compared to its predecessor. …”
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Texture image segmentation based on geometric classification and assessment density of contour elements by H. M. Alzakki, V. Yu. Tsviatkou

“…The proposed method in comparison with the method based on energy maps, providing a reduction in the error of localization of textural regions by taking into account the geometric characteristics of the elements.…”
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A Novel PAPR in OTFS Systems Through ISSA-PTS and ISPR Techniques by Gerges Mansour Salama, Amira A. Mohamed, Aziza I. Hussein, M. Mourad Mabrook

“…However, the high PAPR in OTFS systems can compromise the performance of power amplifiers, increasing signal distortion and Bit Error Rate (BER). This study introduces two novel PAPR reduction techniques: a hybrid approach combining the Improved Salp Swarm Algorithm (ISSA) with Partial Transmit Sequence (PTS) and an innovative Iterative Sub-block Phase Rotation (ISPR) method. …”
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The Effect of Eight Weeks of Motor Control Exercises and Myofascial Release on the Range of Motion of the Lumbar Spine and Disability in People with Non-Specific Chronic Low Back P... by S Jamali Brayjani, M.H Alizadeh, N Rahnama

“…Data analysis was done using repeated measures analysis of variance and Bonferroni's post hoc test at a five percent error level and using SPSS software version 26.ResultsMovement control exercises with and without myofascial release have caused a significant increase in the amount of range of motion of the lumbar spine and significant reduction in the severity of disability of the subjects, after training compared to before training (p<0.001). range of motion of the lumbar spine and severity of disability was not significantly different between the control and experimental groups (p>0.05). …”
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Adaptive Hierarchical Multi-Headed Convolutional Neural Network With Modified Convolutional Block Attention for Aerial Forest Fire Detection by Md. Najmul Mowla, Davood Asadi, Shamsul Masum, Khaled Rabie

“…Additionally, AHMHCNN-mCBAM outperformed HMHCNN-CBAM in recall (25% improvement), precision (21.95%), F1-score (14.94%), and fire detection rate (FDR) reduction (25.01%), while achieving a 100% reduction in error warning rate (EWR). …”
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Deep Learning Model for Real‐Time Flood Forecasting in Fast‐Flowing Watershed by Fan Wang, Jie Mu, Cheng Zhang, Weiqi Wang, Wuxia Bi, Wenqing Lin, Dawei Zhang

“…This leads to an average increase in Nash efficiency of approximately 7.86% and a reduction in the interquartile range of relative peak error by about 30.7%. …”
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Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM by Fuyu Wang, Huiying Xu, Huifen Ye, Yan Li, Yibo Wang

“…Experimental results indicate that compared to the GA-SVM model, the BO-SVM model, and the PCA-GA-SVM model, the PCA-BO-SVM model exhibits a reduction in average error rates by 12.86%, 9.01%, and 2%, respectively, along with improvements in average accuracy and operational efficiency by 10.1%, 7.05%, and 0.325% and 25.5%, 18.4%, and 19.2%, respectively. …”
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Intelligent Modeling and Experimental Investigation of the Collar's Impact on Reducing Scour around the Spur Dike by Hojat Karami, Alireza Rezaei, Amin Atarodi

“…In this research, experiments were first carried out to determine the performance of the collar in reducing the scour depth of the spur dikes with different angles, and then, the percentage of scour depth reduction was predicted using intelligent models. The parameters of collar shape coefficient (Sc), the ratio of collar area to the flow depth multiplied by spur dike length (Ac/LY), the ratio of collar height to the flow depth (Zc/Y), and the spur dike angle (ɵ=60, 90, 120) were considered as input data while the reduction of scour depth around the spur dike nose (R) was addressed as the output parameter. …”
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Analysis of the impact of mobile robots on the efficiency of warehousing and transport processes in modern textile manufacturing by Karabegović Isak

“…The implementation of mobile robots enables real-time tracking of material flow, automated inventory control, and a reduction in production downtime. Through integration with ERP and MES systems, AMRs become part of a comprehensive digital ecosystem that facilitates precise planning and data-driven decision-making. …”
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Potential impacts of artificial intelligence for management accounting in the perception of professionals in the field by Marcela Chagas de Souza Schwindt, Simone Alves da Costa

“…Another aspect addressed is the potential of technology and expanded as the variables used for analysis, dealing with a large quantity of data, in addition to factors such as time reduction, quality increase, greater process agility and error reduction. …”
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Continuous prediction of knee joint angle in lower limbs based on sEMG: a method combining an improved ZOA optimizer and attention-enhanced GRU by Jian Lv, Binhao Huang, Ligang Qiang

“…Experimental evaluations across three motion tasks—level walking, stair ascent, and stair descent—demonstrated that the proposed method achieved a minimum root mean square error (RMSE) of 1.31°, with over 50% reduction in feature dimensionality, significantly outperforming Genetic Algorithm (GA), Zebra Optimization Algorithm (ZOA), Liver Cancer Algorithm (LCA), and Pied Kingfisher Optimizer (PKO). …”
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TEC Map Completion Using DCGAN and Poisson Blending by Yang Pan, Mingwu Jin, Shunrong Zhang, Yue Deng

“…For the cross‐validation experiment using the realistic mask from Massachusetts Institute of Technology (MIT)‐TEC data (~52% missing data), DCGAN‐PB achieves the average root mean squared error about three absolute TEC units (TECu) for high solar activity years and less than two TECu for low solar activity years, which is about 50% reduction of means and more than 50% reduction on standard deviations compared to two conventional single‐image inpainting methods. …”
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Enhancing the Accuracy of Jason-3 PWV Products Over Coastal Areas Using the Back Propagation Neural Network by Yangzhao Gong, Zhizhao Liu

“…Evaluated by the GNSS PWV, BPNN models can reduce the root mean square error (RMSE) of Jason-3 PWV in the coastal areas from 4.2 to 2.7 kg/m² (35.7&#x0025; of RMSE reduction). …”
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