Multimode Flex-Interleaver Core for Baseband Processor Platform by Rizwan Asghar, Dake Liu

“…This paper presents a flexible interleaver architecture supporting multiple standards like WLAN, WiMAX, HSPA+, 3GPP-LTE, and DVB. Algorithmic level optimizations like 2D transformation and realization of recursive computation are applied, which appear to be the key to reach to an efficient hardware multiplexing among different interleaver implementations. …”
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Image Recognition Technology in Texture Identification of Marine Sediment Sonar Image by Chao Sun, Li Wang, Nan Wang, Shaohua Jin

“…At the same time, considering the scale complexity, diversity, multisources, and small sample characteristics of the marine sediment sonar image texture, the transfer learning is introduced into the image recognition, and the K-means clustering algorithm is used to reset the prior frame parameters to improve the speed and accuracy of image recognition. …”
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Data Science Application for Creation of Maternal Morbidity and Mortality Predictive Software by Rúsbel Domínguez-Domínguez, Germán H. Alférez, Verenice González-Mejia, Norbet Donías

“…For the eclampsia during labor class, precision reached 0.71, recall was 0.94, and the F1- score attained 0.81. …”
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Artificial Intelligence Application Open Platform for Rail Transit by LIN Jun, LIU Yue, WANG Quandong, YOU Jun, DING Chi, LIU Ren

“…In the cloud, this platform builds an AI development tool chain including data annotation, algorithm design, model training and application generation. …”
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SYNTHESIS OF ECONOMETRIC AND NEURAL NETWORK MODELS FOR INDICATORS PREDICTION IN RESEARCH AND INNOVATION IN THE RUSSIAN FEDERATION by I. Kolmakov, M. Domozhakov

“…The general verification process algorithm of the modelprediction unit is presented, which contributes significantly to the credibility of the forecast results. …”
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Design of OFDM-IM system based on IRS-assisted by Mengmeng ZHAO, Liming HE, Fangfang LIU

“…Index modulation (IM) and intelligent reflecting surface (IRS) are emerging mobile communication technologies.In order to improve the reliability of traditional orthogonal frequency division multiplexing (OFDM) system, an orthogonal frequency division multiplexing with index modulation (OFDM-IM) system based on IRS-assisted was designed.Firstly, the OFDM-IM system was designed by using spatial modulation and frequency domain modulation to increase the Euclidean distance between subcarriers.Then, by establishing an equivalent circuit model, a practical IRS model was obtained.Finally, an alternating optimization algorithm was used to optimize the active transmission power of the access point (AP) and passive beamforming of the IRS jointly.The simulation results show that compared to the benchmark scheme, the symbol error rate (SER) or bit error rate (BER) of the OFDM-IM system based on IRS-assisted can be reduced by 60%～90%.Especially in the case of high signal-to-noise ratio, the SER or BER of the system can reach 1.0×10^-6, which indicates that the introduction of IM and IRS technologies has optimized the link transmission quality of end-to-end communication system.In addition, based on the IRS-assisted OFDM-IM system as the standard, simulations are conducted to demonstrate the impact of various parameters from the IRS model and IM.It concludes that the parameters in the system should be selected reasonably according to channel state information (CSI).…”
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Accelerated Benders’ Decomposition for Integrated Forward/Reverse Logistics Network Design under Uncertainty by Vahab Vahdat, Mohammad Ali Vahdatzad

“…Numerical results confirmed that the proposed solution algorithm improved the convergence of BD lower bound and the upper bound, enabling to reach an acceptable optimality gap in a convenient time.…”
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Lightweight Design of Drive Axle Housing based on OptiStruct by Xiaofei Song, Ronghui Lin, Shuaichao Li, Yunfa Qiao, Yulong Ji, Juan Deng, Zhitian Guo

“…The mass of the optimized axle housing is 152.042 kg， which is reduced by 50.075 kg， and the weight loss reaches 24.78%， and then the optimized drive axle housing is analyzed. …”
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Performance Investigation of Low-Resolution Coherent Optical Communication System with Low-Complexity Adaptive Equalizer by Zhiyuan Chen, Xiangyong Dong, Jiaqi Gao, Zhenming Yu, Kun Xu

“…However, these systems face challenges related to high cost and complexity, especially in short-reach coherent optical communication systems. To address these issues, we present a low-resolution coherent optical communication system with low-complexity adaptive equalizer. …”
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A Novel Multisensor Traffic State Assessment System Based on Incomplete Data by Yiliang Zeng, Jinhui Lan, Bin Ran, Yaoliang Jiang

“…The accuracy of experiment result can reach more than 98%, and the result is in accordance with the actual road traffic state. …”
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Improving parking availability prediction in smart cities with IoT and ensemble-based model by Stéphane Cédric Koumetio Tekouabou, El Arbi Abdellaoui Alaoui, Walid Cherif, Hassan Silkan

“…The tests that we carried out on the Birmingham parking data set allowed to reach a Mean Absolute Error (MAE) of 0.06% on average with the algorithm of Bagging Regression (BR). …”
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PointNet++ (MSG-DSLS): A Classification Framework With Dynamic Step-Size Loop-Sampling for High-Density Tree Point Clouds by Zhen Liu, Ying Quan, Bin Wang, Jianyang Liu, Mingze Li

“…The results demonstrate that the MSG-DSLS algorithm improves the classification accuracy by an average of 0.0242 across all the datasets, and the highest classification accuracy reaches 0.9886. …”
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Mathematical modeling of the mechanical characteristic of the activated PTFE-matrix using the method of planning the experiment by Bilous O. A., Hovorun T. P., Berladir K. V., Vorobiov S. I., Simkulet V. V.

“…On the basis of the performed calculations, the conclusion is reached on the optimal technological mode of preparing the PTFE-matrix. …”
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Novel accurate classification system developed using order transition pattern feature engineering technique with physiological signals by Mehmet Ali Gelen, Prabal Datta Barua, Irem Tasci, Gulay Tasci, Emrah Aydemir, Sengul Dogan, Turker Tuncer, U. R. Acharya

“…The OTPat-based XFE model achieves over 95% accuracy on several EEG and ECG datasets and reaches 86.07% accuracy on an 8‑class EEG artifact dataset. …”
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Dealing with Energy-QoE Trade-Offs in Mobile Video by Fidel Liberal, Ianire Taboada, Jose-Oscar Fajardo

“…Finally, since the optimization solving mechanism is computationally expensive to be implemented in mobile devices, a heuristic algorithm is proposed. This way, significant energy consumption reduction will be achieved while keeping reasonable quality levels.…”
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Advanced Control Technique for Optimal Power Management of a Prosumer-Centric Residential Microgrid by Peter Anuoluwapo Gbadega, Yanxia Sun, Olufunke Abolaji Balogun

“…To solve the multi-objective power management optimization problem, the Teaching-Learning-Based Optimization (TLBO) algorithm was implemented. This algorithm optimizes day-ahead power scheduling by considering temperature forecasts, energy prices, solar irradiance, system constraints, and user preferences. …”
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Comprehensive Cardiopulmonary Resuscitation Training for Foreign Medical Students by S. Rocha Ferreira, S. A. Perepelitsa, Sh. A. Narode, K. Yu. Koreshkova, A. M. Harer, K. S. Borate, N. R. Tuklia

“…Decompression phase efficiency reached 71–77% (P=0.811) in all groups. The majority of examinees performed chest compressions to the required depth and with the recommended frequency (P=0.62).Conclusion. …”
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Coverage and connectivity maximization for wireless sensor networks using improved chaotic grey wolf optimization by Muhammad Suhail Shaikh, Chang Wang, Senlin Xie, Gengzhong Zheng, Xiaoqing Dong, Shuwei Qiu, Mohd Ashraf Ahmad, Saurav Raj

“…For example, with 20 sensor nodes in Case 1, the coverage rate reaches 95.9077%, while for 30 nodes in Case 2, it achieves 98.2211%. …”
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Carbon Quota Allocation Prediction for Power Grids Using PSO-Optimized Neural Networks by Yixin Xu, Yanli Sun, Yina Teng, Shanglai Liu, Shiyu Ji, Zhen Zou, Yang Yu

“…Results indicate that the PSO algorithm mitigates local optimization constraints of the standard BP algorithm; the prediction error of carbon emissions by the combined model is significantly smaller than that of the single model, while its identification accuracy reaches 99.46%. …”
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A novel flexible near-infrared endoscopic device that enables real-time artificial intelligence fluorescence tissue characterization. by Gareth Gallagher, Ra'ed Malallah, Jonathan P Epperlein, Jeffrey Dalli, Niall Hardy, Abhinav Jindal, Pol G MacAonghusa, Ronan A Cahill

“…However, commercially available fluorescence endoscopes do not possess the flexibility and anatomical reach capabilities of colonoscopy while commercial flexible scopes do not yet provide beyond visible spectral imaging. …”
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