Study of algorithmic approaches to digital signal filtering and the influence of input quantization on output accuracy by Shermuradova Malika, Gadoeva Mavlyuda, Rahmatov Shukhrat, Abdullaev Uktamjon, Aralov Dilshod

“…This article explores the design and application of intelligent control systems tailored for industrial and production environments, with a particular focus on integrating advanced digital filtering and noise reduction strategies. Traditional adaptive control systems often struggle to maintain flexibility and responsiveness in uncertain and dynamic conditions. …”
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Research on SCLOUD+ post-quantum key encapsulation adaptation and BW lattice optimization for intelligent computing networks by PAN Jie, XI Zhuoning, ZHAO Zhanjun, BU Zhonggui, HOU Huifang, YE Lan, CHEN Xi, XUE Zhao

“…The existing mainstream post-quantum key encapsulation mechanisms, such as the module-lattice-based key encapsulation mechanism (ML-KEM), rely on the module learning with errors (Module-LWE) problem associated with structured lattices. …”
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A novel indoor localization method using passive phase difference fingerprinting based on channel state information by Xiaochao Dang, Jiaju Ren, Zhanjun Hao, Yili Hei, Xuhao Tang, Yan Yan

“…The device-free channel state information indoor fingerprint localization method may lead to phase offset errors, strong fingerprint noise and low sampling classification accuracy. …”
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Enhancing positioning accuracy in adjuvant radiotherapy for left breast cancer using cervical‐thoracic integrated bracket combined with deep inspiration breath holding by Bao Wan, Yunsong Liu, Yandong Ge, Fan Liu, Ruiao Zhao, Tantan Li, Yanxin Zhang, Wei Zhang, Fukui Huan, Xu Yang, Zhouguang Hui

“…Results Compared to the conventional BB group, the CTIB & DIBH group demonstrated significant improvements in accuracy across multiple dimensions, including left–right, superior‐posterior, and anterior–posterior directions, as well as rotational errors in the sagittal and coronal planes. The CTIB & DIBH group showed a significant reduction of setup error in the anterior–posterior direction compared to the BB & DIBH group. …”
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Diagnosis of a Severe Dust Storm Event over Iraq by Sama K. Al-Dabbagh

“…In Basrah station, the dust event led to a notable reduction in visibility, lower temperature by 4° C, and surface solar radiation of 15%. …”
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Enhanced Signal-to-Noise Ratio Estimation in Optical Fiber Communications: A Pilot-Based Approach by Mohamed Al-Nahhal, Ibrahim Al-Nahhal, Sunish Kumar Orappanpara Soman, Octavia A. Dobre

“…The estimation accuracy of the SNR components achieved by the proposed estimators is evaluated using the normalized root mean square error and the standard deviation of the estimation errors. …”
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Penaeus vannamei aquaculture water quality prediction based on the improved back propagation neural network by DING Jinting, ZANG Zelin, HUANG Min

“…The correlation coefficients for the temperature, pH value and the oxidation-reduction potential during the training and testing processes were better than 0.975. …”
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A two stage differential evolution algorithm for parameter estimation of proton exchange membrane fuel cell by Mohammad Aljaidi, Sunilkumar P. Agrawal, Pradeep Jangir, Sundaram B. Pandya, Anil Parmar, Arpita, Ali Fayez Alkoradees, Bhargavi Indrajit Trivedi, Mohammad Khishe

“…TDE resulted in a 41% reduction in SSE (minimum SSE of 0.0255 compared to 0.0432), a 92% improvement in maximum SSE, and over 99.97% reduction in standard deviation compared to the HARD-DE algorithm. …”
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Deep learning-based dual monitoring system for power forecasting and fault detection in nuclear power applications by Mingzhe Lyu, Helin Gong, Zhang Chen, Jiangyu Wang, Mingxiao Zhong, Zhiyong Wang, Qing Li, Zefei Pan

“…In the most informative case, the model achieves a 56.6% reduction in root mean square error and a 36.8% reduction in mean absolute error, with a coefficient of determination (R2) of 0.9924—significantly outperforming the next-best benchmark. …”
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Improving the quantification of peak concentrations for air quality sensors via data weighting by C. Frischmon, J. Silberstein, A. Guth, E. Mattson, J. Porter, M. Hannigan

“…When compared to unweighted colocation data, we demonstrate significant reductions in both error (root mean square error, RMSE) and bias (mean bias error, MBE) for pollutant peaks across all three datasets when data weighting is employed. …”
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The role of artificial intelligence in breast cancer screening as a supportive tool for radiologists by Agata Król, Katarzyna Kwaterska, Karol Kutyłowski, Paweł Łuckiewicz

“…Some improvements, especially in cancer detection rate have been noticed with significant workload reduction. Difficulties, possible errors and people’s opinion were also highlighted. …”
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VR & AR TECHNOLOGIES: OPPORTUNITIES AND APPLICATION OBSTACLES by A. V. Ivanova

“…The results of the survey show the key obstacles for the mass distribution of AR and VR technologies: high implementation and operational costs of AR/VR solutions; lack of high-quality content and imperfect devices, implicit effectiveness of their use.Based on the empirical study, a rather extensive list of benefits from using virtual and augmented reality technologies has been drawn up: faster and cheaper learning, training and guiding processes, increase in their efficiency, the reduction of the costs of elements and supplies needed, training support personnel; reducing potential risks to life and health of employees and other people while special training (medical operations and invasive procedures, evacuation, security, rescue in various emergencies) and the related optimization of the compensations; reducing the number of errors and accelerating the processes of assembling, repairing and operating special equipment, searching for information, necessary details, product location in the warehouse; significant reduction of accidents rate, as well as the exploration costs, due to the early identification of malfunctions; accelerating the pace of the designing and prototyping objects, significantly reducing the cost and duration of physical modeling process; improving customer experience, product and trading platforms design, that leads to corresponding increase in volume of sales; improving (simplifying) of communication and increasing its effectiveness.…”
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A thermodynamic inspired AI based search algorithm for solving ordinary differential equations by V. Murugesh, M. Priyadharshini, T. R. Mahesh, Esmael Adem Esleman

“…TSA is shown through experimental results to achieve lower Root Mean Square Errors (RMSE) than existing algorithms on both IVPs and BVPs. …”
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Sowing Depth Monitoring System for High-Speed Precision Planters Based on Multi-Sensor Data Fusion by Song Wang, Shujuan Yi, Bin Zhao, Yifei Li, Shuaifei Li, Guixiang Tao, Xin Mao, Wensheng Sun

“…High-speed precision planters are subject to high-speed (12~16 km/h) operation due to terrain undulation caused by mechanical vibration and sensor measurement errors caused by the sowing depth monitoring system’s accuracy reduction problems. …”
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Bicuspid aortic valve repair using geometric ring annuloplasty: A first-in-humans pilot trialCentral MessagePerspective by J. Scott Rankin, MD, Domenico Mazzitelli, MD, Theodor J.M. Fischlein, MD, Yeong-Hoon Choi, MD, Diana Aicher, MD, Lawrence M. Wei, MD, Vinay Badhwar, MD

“…Objective: As bicuspid aortic valve (BAV) repair evolves, more effective annular reduction and stabilization could be advantageous. …”
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Vulnerability Testing and Analysis on Websites and Web-Based Applications in the XYZ Faculty Environment Using Acunetix Vulnerability by Mifthahul Rahmi, Yuhandri Yunus, Sumijan Sumijan

“…Following a recapitulation process, several web alerts were identified for optimization, including Cross-Site Scripting (XSS), Blind SQL Injection, Application error message, HTML form without CSRF protection, Development configuration file, Directory listing, Error message on page, and User credentials sent in clear text. …”
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SLGMA-UNet: Comprehensive Feature Aggregation With Context-Sensitive Attention for Medical Image Segmentation by Xinghuo Ye, Na Wang

“…The EMA module integrates multi-scale information, avoids channel dimensionality reduction, facilitates cross-space learning, and effectively establishes dependencies. …”
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Modified Constitutive Model and Practical Calibration Method for Constructional 7075-T6 Aluminum Alloy by Yishu Zhang, Lin Zhao, Zhenggang Cao, Bizhao Wu

“…Compared with the classical R–O model, the modified model exhibited a reduction of over 75% in stress–strain curve deviation. …”
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Research on Control System for Material Transport Vehicle Based on Stacking Model by LIU Yuanming, TANG Lingsi, Zen Shuhua

“…The results show an efficiency increase by more than 50%, a reduction in loading errors, and a significant improvement in work safety.…”
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Stochastic Portfolio Planning for Virtual Power Plants Using Stratified Sampling by Dosung Kim, Sung-Kwan Joo

“…Specifically, total revenue increased by 1.6%, with a 2.6% improvement in market price revenue and a 5.6% reduction in imbalance penalties.…”
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