An Optoelectronic System for the Online Monitoring of the Chord Length of Steam Turbine Rotor Blades for Early Fault Detection by Valery V. Korotaev, Liliana S. Rodikova, Alexandr N. Timofeev, Victoria A. Ryzhova, Sergey N. Yarishev, Todor S. Djamiykov, Marin B. Marinov

“…Practical Significance: The effectiveness of the proposed methods for error reduction was validated through computer simulations and experimental studies on two system prototypes. …”
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Establishing and Validating a Model of Waste Heat Recovery System for Coal-fired Boilers based on a Spray Tower by Zhao Jinzi, Zhao Xiling, Wang Jingyi, Fu Lin, Sun Fangtian, Zhang Shigang

“…The system was then evaluated from the points of view of energy saving, emission reduction, and economic feasibility. The results show that the simulation results of the model are roughly in line with the trend of the observed results, and the absolute and relative errors are in a reasonable range, which proves that the model is reasonable. …”
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Dynamic prediction of whole CO2 flooding development process in low permeability reservoirs by WANG Yanwei, LIN Lifei, WANG Hengli

“…Meanwhile, the continuous iterative coupling of diffusion, dissolution, viscosity reduction, and drag reduction during the CO2 displacement process led to differences in the displacement front positions in throats of different radii at the same time. …”
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Design of Radix-8 Unsigned Bit Pair Recoding Algorithm-Based Floating-Point Multiplier for Neural Network Computations by J. Jean Jenifer Nesam, S. Sankar Ganesh

“…Finally, the MAC design uses 16-bit FP arithmetic with an <inline-formula> <tex-math notation="LaTeX">$8\times 8$ </tex-math></inline-formula> mantissa multiplier for the CNN accelerator is developed, and it is validated with suitable error metrics like Mean Relative Error (MRE) to assess the suggested architecture for AI applications.…”
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Research on a PCA-transformer-based prediction algorithm for gas concentration in working face by YANG Jian, SHU Longyong, ZHANG Shulin, QIN Kai, CUI Cong

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A Subimage Autofocus Bistatic Ground Cartesian Back-Projection Algorithm for Passive Bistatic SAR Based on GEO Satellites by Te Zhao, Jun Wang, Zuhan Cheng, Ziqian Huang, Xueming Song

“…However, PBSAR faces dual challenges in computational efficiency and phase error compensation. Traditional accelerated back-projection (BP) variants developed from monostatic SAR are incompatible with PBSAR’s geometry, and autofocus BP (AFBP) methods exhibit prohibitive computational costs and inadequate space-variant phase error handling. …”
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Travel time prediction for an intelligent transportation system based on a data-driven feature selection method considering temporal correlation by Amirreza Kandiri, Ramin Ghiasi, Maria Nogal, Rui Teixeira

“…Results show that OA2DD improves the convergence curve and reduces the number of selected features by up to 50 %, leading to a 56 % reduction in computational costs. Furthermore, using the selected features from OA2DD, reduced the prediction error by up to 29 % compared to the full feature set and other feature selection methods, demonstrating the method's effectiveness and robustness.…”
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Exposing Optimal Feature Sets for Enhancing Machine Learning Performance by Hiba Mohammed Al-Marwai, Ghaleb H. Al-Gaphari, Mohammed Mohammed Zayed

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Preparation and performance evaluation of fluorescent nanofluid for oil displacement by Qi Gong, Haitao Li, Xin Ma, Jiating Hao, Fangjun Jia, Hongwen Luo, Sujuan Gao

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Design of Hybrid MPC-PID Controller Based on Fractional Order Model of AMR by Orkan Murat Celik, Furkan Nur Deniz, Murat Koseoglu

“…After verifying the obtained model, a model reduction technique is applied to simplify the obtained transfer function to reduce the computational burden on the processor of AMR. …”
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Method for limiting the peak factor using an additional compensation signal in a system with orthogonal frequency division multiplexing for a Gaussian channel by Th. T. Pham, O. V. Tikhonova

“…The main disadvantage of OFDM is the high peak-power-to-average-power ratio (PAPR), which is indicated by an increase in the bit error rate due to the nonlinearity of the power amplifier. …”
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A low-complexity AMP detection algorithm with deep neural network for massive mimo systems by Zufan Zhang, Yang Li, Xiaoqin Yan, Zonghua Ouyang

“…However, existing detection methods have not yet made a good tradeoff between Bit Error Rate (BER) and computational complexity, resulting in slow convergence or high complexity. …”
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Advanced Noise-Resistant Electrocardiography Classification Using Hybrid Wavelet-Median Denoising and a Convolutional Neural Network by Aditya Pal, Hari Mohan Rai, Saurabh Agarwal, Neha Agarwal

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Study on the Meshing Characteristic of Parallel Axis Line Gear by Chen Yangzhi, Zhu Anshi, Lü Yueling

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Bias-Reduced Localization for Drone Swarm Based on Sensor Selection by Bo Wu, Bazhong Shen, Yonggan Zhang, Li Yang, Zhiguo Wang

“…Simulation results show that the randomized SDP algorithm proposed in this paper has the optimal localization effect, and moreover, the bias reduction scheme proposed in this paper can make the localization error of the drone swarm reach the Cramér–Rao Lower Bound (CRLB) with a low signal-to-noise ratio (SNR).…”
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Modeling the effect of building information modeling (BIM) in reducing rework in construction projects using structural equations method by malihe zoghi, ohamad jafar fesharaki, mehrdad Hemasian ettefagh

“…The use of the structural equation research method to influence the relationship between variables in this research showed that identifying errors and recording them at the right time and place can lead to a reduction in rework in project implementation. …”
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Advancements in the Treatment of Mucopolysaccharidoses: From Established Therapies to Gene Therapy by Joanna Wanat, Wojciech Homa, Aleksandra Warunek, Gabriela Gronowicz, Izabela Dzikowska, Agata Siejka, Daria Stefaniak, Weronika Zielińska, Michał Chról

“… Introduction and purpose Mucopolysaccharidoses (MPS), a subset of inborn errors of metabolism (IEM), are genetic disorders requiring pediatricians to recognize non-specific symptoms and carefully monitor newborns. …”
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Research on Monthly Runoff Forecast in Dry Seasons Based on GEO-RVM Model by ZHANG Yajie, CUI Dongwen

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Advanced control strategy for AC microgrids: a hybrid ANN-based adaptive PI controller with droop control and virtual impedance technique by Sarra Adiche, Mhamed Larbi, Djilali Toumi, Riyadh Bouddou, Mohit Bajaj, Nasreddine Bouchikhi, Abdallah Belabbes, Ievgen Zaitsev

“…The control strategy is developed to improve voltage control, power sharing and total harmonic distortion (THD) reduction in the MG systems with renewable and distributed generation (DG) sources. …”
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Pruned hierarchical Random Forest framework for digital soil mapping: Evaluation using NEON soil properties by Chengcheng Xu, Jingyi Huang, Alfred E. Hartemink, Nathaniel W. Chaney

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