Image processing algorithm of visual communication design based on deep learning in digital background by Xugang Hou, Qian Liu, Xiaoying Zhang

“…Particularly in preventing overfitting, the algorithm exhibits stronger stability and lower error rates, further validating the potential of DL applications in visual communication design and image processing. …”
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A study on monthly sales forecasting of new energy vehicles in urban areas using the WOA-BiGRU model. by Xiangtu Li

“…The WOA-BiGRU model outperforms both the standalone BiGRU and PSO models, achieving a Mean Absolute Error (MAE) of 3051.89, which is 526.18 lower than the BiGRU model and 104.72 lower than that of the PSO model. …”
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Optimization of Acid Degumming of Crude Rice Bran Oil (CRBO) on Phospholipid Removal Using Response Surface Methodology (RSM) by Astrilia Damayanti, megawati megawati, Ima Winaningsih, Doni Rahmat Wicakso, Nuryoto Nuryoto, Yusuf Rumbino, Ridwan Anung Prasetyo, Muhammad Prabu Rizki

“…Degumming is the first stage of refining crude oil. This research aims to remove phospholipids in crude rice bran oil (CRBO) by optimizing acid degumming. …”
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Response Analysis of Deceleration Motion Control for Pipeline Intelligent Plugging Robot by Wang Shanshan, Jiang Zhengguo

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Empowering entity synonym set generation using flexible perceptual field and multi-layer contextual information. by Subin Huang, Daoyu Li, Chengzhen Yu, Junjie Chen, Qing Zhou, Sanmin Liu

“…Automatic generation of entity synonyms plays a pivotal role in various natural language processing applications, such as search engines, question-answering systems, and taxonomy construction. Previous research on generating entity synonym sets has typically relied on approaches that involve sorting and pruning candidate entities or solving the problem in a two-stage manner (i.e., initially identifying pairs of synonyms and subsequently aggregating them into sets). …”
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Comparison of SPH and CEL methods for simulating the soil cutting process of a biomimetic digging shovel. by Yunning Dong, Liangfei Fang, Kuan Qin, Shoujun Sun, Yue Gong

“…Numerical simulation, as a computer-aided research method, offers several advantages, including ease of use, cost-effectiveness, and resource conservation. …”
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Corporate governance and earnings management in banks: An empirical evidence from India by Sarit Biswas, Mousumi Bhattacharya, Pradip H Sadarangani, Justin Yiqiang Jin

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Psychological Aspects of the Organization of the Foreign Language Learning Process for Students of Non-Linguistic Specialities under Current Conditions by C. Соколовська

“… The relevance of the research is due to the need to ensure an effective educational process against the background of an increased level of anxiety during the war. …”
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Quality Evaluation of Speech Transmission via Two-way BPL-PLC Voice Communication System in an Underground Mine by Przemysław FALKOWSKI-GILSKI, Grzegorz DEBITA

“…Our findings can aid both researchers working on low-bit rate coding and compression, signal processing and speech perception, as well as professionals active in the mining and oil industry.…”
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Classical Benchmarks for Variational Quantum Eigensolver Simulations of the Hubbard Model by Antonios M. Alvertis, Abid Khan, Thomas Iadecola, Peter P. Orth, Norm Tubman

“…Our study highlights the capabilities and limitations of current approaches for solving the Hubbard model on quantum hardware, and we discuss potential future avenues of research.…”
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Explaining Nurses' Experiences of Breaking the Law in Patient Care: A Qualitative Study by Yasaman Jahed

“…Materials and Methods: In this qualitative study, 15 experienced nurses from Waliasr research educational center affiliated to Birjand University of Medical Sciences, living in 1400 South, participated in this qualitative study. …”
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COVID-19 PROJECTIONS ON JAVA AND BALI ISLANDS INVOLVING VACCINATION AND TESTING INTERVENTIONS USING VARI-X MODEL by Riza Andrian Ibrahim, Budi Nurani Ruchjana

“…The mean-absolute-percentage error (MAPE) of the model for the Java and Bali Islands is 5.3027% and 3.0301%, respectively. …”
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Wearable damaged clothing fabric image recognition system based on image restoration algorithm by Xu Li, Longlin Zhang

“…In view of this, the research has innovatively integrated GAN, CNN, field Programmable gate array (FPGA), multi-stage image recovery algorithm based on graph neural network, for high frequency and low frequency fusion, and combined it with wearable devices to develop a new wearable fabric recovery and recognition system. …”
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CRYPTOCURRENCY PRICE PREDICTION: A HYBRID LONG SHORT-TERM MEMORY MODEL WITH GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY by Indah Manfaati Nur, Rifqi Nugrahanto, Fatkhurokhman Fauzi

“…To overcome this volatility factor, this research used the Generalized Autoregressive Conditional Heteroscedasticity forecasting method to describe the heteroscedasticity factor, as well as a Recurrent Neural Network (RNN) with long-short-term memory that has feedback in modeling sequential data for time series analysis. …”
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Low fluctuation stiffness design method for vibration reduction of helical gears by YOU Zhiwei, GAO Jingtao, LI Haonan

“…The research results provide theoretical support for the vibration reduction design of the gear system.…”
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Case Study of Urban Stormwater Simulation in Foshan Based on Urban Time-Variant Gain Model by WANG Chao, GONG Siqi, XIAO Yu

“…The prerequisite for urban stormwater simulation and analysis is to accurately grasp urban rainfall-runoff response laws.This paper analyzes the nonlinear response law of rainfall-runoff and builds a TVGM-urban model to simulate and analyze the measured rainfall and storm scenarios designed under different recurrence periods by taking the Baolitongjifu neighborhood in Chancheng District,Foshan as the research object.The results are as follows.There is a power function correlation between rainfall and runoff in the city.The non-linear relationship between maximum rainfall intensity and peak flood flow can be verified by eight selected flood data in the neighborhood with the fitting effect of the power function (R²=0.6207,p<0.05) better than that of the linear relationship (R²=0.5629,p<0.05).Based on the identification of the catchment area and the subsurface classification,the TVGM-urban model is built in the Baolitongjifu neighborhood,and the model accuracy is verified by the measured rainfall and runoff data.Generally,the simulation results ensure that the Nash efficiency coefficient is greater than 0.7,and the simulation error of the water volume and peak value is within 20%,which can well meet the urban stormwater simulation requirements.The results can provide support and references for analyzing urban rainfall and runoff response laws and studying urban stormwater simulation.…”
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Augmentation of Semantic Processes for Deep Learning Applications by Maximilian Hoffmann, Lukas Malburg, Ralph Bergmann

“…The results indicate a large potential with a reduction of the prediction error of up to 53%.…”
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A study on phonemes recognition method for Mandarin pronunciation based on improved Zipformer-RNN-T(Pruned) modeling. by Zhaohui Du, Xiaofeng Zhao, Lin Li, Baohua Yu, Lijiang Miao

“…In recent years, empowered by artificial intelligence technologies, computer-assisted language learning systems have gradually become a hot topic of research. Currently, the mainstream pronunciation assessment models rely on advanced speech recognition technology, converting speech into phoneme sequences, and then determining mispronounced phonemes through sequence comparison. …”
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Performance Test of Openflow Agent on Openflow Software-Based Mikrotik RB750 Switch by Rikie Kartadie

“…An operator is responsible for running configuration either to manage rules or application applied in the network. Human error may occur when device configuration run manually by operator. …”
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Low-Power and Reliable Communications for UWB-Based Wireless Monitoring Sensor Networks in Underground Mine Tunnels by Mohamad Abou El-Nasr, Heba Shaban

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