Digital Code-Division Multiplexing Channel Aggregation for Mobile Fronthaul Architecture With Low Complexity by Haibo Li, Qi Yang, Songnian Fu, Ming Luo, Xiang Li, Zhixue He, Peng Jiang, Yongpiao Liu, Shaohua Yu

“…After transmission over 5 km SSMF, CWs can be error-free recovered while the LTE signals are recovered with an EVM of ∼3.6%.…”
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Optimized deep neural network architectures for energy consumption and PV production forecasting by Eghbal Hosseini, Barzan Saeedpour, Mohsen Banaei, Razgar Ebrahimy

“…The results demonstrate that ODNN outperforms the average performance of other methods, achieving a 27% improvement in forecasting accuracy and a 22% reduction in error across various metrics. These findings demonstrate the significant potential of GA-PSO as an effective tool to optimize DNN models in energy forecasting applications.…”
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Remaining useful life prediction of a small sample of aero-engine based on an improved gray Markov model by Dong-hai Li, Ji-liang Tu, Hui Liu, Nai-zhi Liao

“…The improved model achieves an average absolute percentage error reduction of 2.04 % compared to the original gray Markov model. …”
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PERFORMING AN ANALYSIS OF ARRAY WAVEGUIDE (AWG) MULTIPLEXER BASED ON AN OPTICAL NETWORK by Hussein Ahmed Ali

“…Moreover, with the presence of multiple users on a single link, the transmission is performed with a high rapidity in addition to a minimum error. Consequently, the simulations can be applied to the existing fiber communication networks with ultimate reduction of the cost and operational expenditure for the overall network system. …”
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Model analysis and experiment study for effects of thermal viscous and fluid flow on ventilated acoustic metamaterials labyrinth by Shengnan Du, Dacheng Zhang, Xianming Sun, Xiaoping Chen, Guowei Zhang

“…The theoretical results are compared with the experimental results with an error of 0.6%. By comparing the transmission coefficient and the impedance at the entrance of the side branches, the mechanism of the TVE on the performance of VAML is analyzed, and it is clarified that the TVE is responsible for the sound absorption coefficient. …”
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Mapping of processes and risks in the digital transformation in metrology of ionizing radiation, a case study in X-rays air kerma calibration by Igor Fernando Modesto Garcia, Jeovana Santos Ferreira, Eric Matos Macedo, Marcos Vinicius Teixeira Navarro, José Guilherme Pereira Peixoto

“…It is also possible to estimate that artificial intelligence and automation can significantly reduce measurement risks, identification, and error in the analysis and use of calibration certificates.…”
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EFFECTS OF MACRO-ECONOMIC VARIABLES ON FISHERIES SUPPLY IN NIGERIA (1980-2019) by Ahmed Olugbenga BUSARI, Abolupe Oluyemi AYANBOYE

“…Thus, it is recommended that there is a need for significant improvement in aquaculture production and reduction in fish importation to cushion the effect of exchange, inflation, and interest rate on the economy.…”
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Adaptive fractal dynamics: a time-varying Hurst approach to volatility modeling in equity markets by Abe Webb, Siddharth Mahajan, Mateo Sandhu, Rohan Agarwal, Arjun Velan

“…Additionally, the model achieves an average absolute option pricing error of 1.8 %, markedly lower than that of traditional specifications. …”
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PRECISION, STABILITY ANALYSIS OF THE CRANKSHAFT GRINDING TECHNOLOGICAL PROCESS by S. A. Kornilovich, B. S. Trofimov

“…The implementation of the algorithm for calculating the accuracy and stability for the technological process of grinding the crankshafts during their restoration would reduce the error value. Moreover, the reduction of errors during the process of crankshafts restoration would improve the quality of repair, thus prolonging the crankshaft serviceability.…”
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Electrical Fault Diagnosis Method for Tunneling Equipment Based on Fault Simulation and Optimized Particle Swarm Algorithm by Huan Zou, Xueping Zhang, Xin Wang, Yu Li

“…With 34.5% reduction in hardware resource consumption (0.9 W power, 57 MB memory), 1% false alarm/missed detection rate, and 27.9 ms response latency, the solution enables practical edge deployment. …”
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Extreme heat prediction through deep learning and explainable AI. by Fatima Shafiq, Amna Zafar, Muhammad Usman Ghani Khan, Sajid Iqbal, Abdulmohsen Saud Albesher, Muhammad Nabeel Asghar

“…Making these models understood allows us to identify important parameters, improving heatwave forecasting accuracy and guiding risk-reduction strategies.…”
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Transforming higher education with robotic process automation: enhancing efficiency, innovation, and student-centered learning by Vivek Bhardwaj, Mukesh Kumar

“…Case studies reveal common success factors, including significant time savings, error reduction, and improved satisfaction for both students and staff. …”
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Design of Constant Modulus Radar Waveform for PSD Matching Based on MM Algorithm by Hao Zheng, Chaojie Qiu, Chenyu Liang, Junkun Yan

“…The proposed algorithm can be proved to converge to the stationary point, and the error reduction property can be obtained without the unitary requirements on the discrete Fourier transform (DFT) matrix. …”
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Network Coding-Enhanced Polar Codes for Relay-Assisted Visible Light Communication Systems by Congduan Li, Mingyang Zhong, Yiqian Zhang, Dan Song, Nanfeng Zhang, Jingfeng Yang

“…Simulation results demonstrate a significant reduction in bit error rate (BER) compared to uncoded transmission, with a coding gain of at least 5 dB. …”
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A Data-Driven Approach for Energy Consumption Modeling and Optimization of Welding Robot Systems by Minling Pan, Bingqi Jia, Lei Zhang, Haihong Pan, Lin Chen

“…A predictive model was developed using an extreme gradient boosting (XGBoost) regression technique focused on joint torque data, which achieved a mean absolute percentage error (MAPE) of 1.86%. Furthermore, trajectory optimization was achieved by adjusting the spatial position of the workpiece, effectively reducing EC. …”
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Comparative Evaluation of Preprocessing Methods for MobileNetV1 and V2 in Waste Classification by Aulia Afifah, Endah Ratna Arumi, Maimunah Maimunah, Setiya Nugroho

“…Overall, MobileNetV1 benefited more significantly from preprocessing variations than MobileNetV2, particularly in terms of accuracy improvement and reduction in prediction error. These findings underscore the importance of effective preprocessing in enhancing model performance for waste image classification…”
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Big data-driven corporate financial forecasting and decision support: a study of CNN-LSTM machine learning models by Aixiang Yang

“…The data underwent preprocessing and dimensionality reduction via Principal Component Analysis (PCA) to eliminate redundancy and noise. …”
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Earthwork Network Architecture (ENA): Research for Earthwork Quantity Estimation Method Improvement with Large Language Model by Taewook Kang, Kyubyung Kang

“…Traditional methods for quantity takeoff are often time-consuming and susceptible to human error, particularly when working with unstructured datasets such as CAD drawings. …”
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The Potential of a Laser-Aspiration Solution for Refractive Lens Exchange by D. E. Arakelyan, S. Yu. Kopaev, I. A. Il’inskaya, V. V. Pominova

“…This review presents the current knowledge about the methods of lens surgery for the correction of refractive errors in patients with presbyopia and other refractive errors. …”
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Study on the effect of humidity on coal mine dust concentration monitoring and its compensation strategy by ZHANG Anran

“…Results showed that the monitoring error of the humidity-compensated multi-angle light-scattering unit was ≤11.2%, a 2.9% reduction compared to the uncompensated unit, confirming the effectiveness of the compensation method.…”
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