A Correlation Analysis-Based Structural Load Estimation Method for RC Beams Using Machine Vision and Numerical Simulation by Chun Zhang, Yinjie Zhao, Guangyu Wu, Han Wu, Hongli Ding, Jian Yu, Ruoqing Wan

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Empowering self-sustained agriculture: an IoT field tracking model driven by fog computing by Gurpreet Singh, Jaspreet Singh, Sapna Juneja, Yonis Gulzar, Deepali Gupta, Kayhan Zrar Ghafoor, Mukesh Kumar

“…The smart agriculture technique offers beneficial data collection, highly precise control as well as automated monitoring strategies. This research proposed a IoT assisted fog-based model that promises to provide the cost-effective smart agriculture system. …”
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Comparative analysis of rainfall data from remote sensing and surface stations in the Paracatu river basin, Brazilian Cerrado by Maycow Douglas de Oliveira Silva, Paulo Sérgio Cardoso Batista, Sharrine Omari D. de Oliveira Marra, Marinaldo Loures Ferreira

“…Despite these challenges, CHIRPS is a valuable tool for supplementing surface data on a monthly basis, although discrepancies are more pronounced during periods of intense rainfall and in annual aggregates. Future research should investigate the integration of additional remote sensing products and assess how changing climate conditions affect precipitation estimates.…”
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The Analysis of English Language Teaching of the Students with Intellectual Disabilities: A Review on the Program, English Course Book for 7th Graders, and the Teacher’s Guide by Ahmad Ramezani, Payvand Mihandoust

“…Some of the weaknesses were ignoring students’ different learning styles, not introducing appropriate way of error correction, and inappropriate bookbinding. …”
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An Approach for SAR Feature Reconfiguring Based on Periodic Phase Modulation with Inter-Pulse Time Bias by Liwen Zhu, Junjie Wang, Dejun Feng

“…Compared with the previous single-point target research on the combination of SAR and metasurfaces, this method is expanded to include the combined analysis of multi-point targets and the reconfigurability of SAR features. …”
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Predicting heat transfer Performance in transient flow of CNT nanomaterials with thermal radiation past a heated spinning sphere using an artificial neural network: A machine learn... by S.R. Mishra, P.K. Pattnaik, Rupa Baithalu, P.K. Ratha, Subhajit Panda

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A numerical investigation of reactive flow fields and species distribution in sonoreactors by Seyed Reza Taghavi, Shahrokh Shahhosseini, Masoud Rahimi

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Catalyzing Supply Chain Evolution: A Comprehensive Examination of Artificial Intelligence Integration in Supply Chain Management by Sarthak Pattnaik, Natasya Liew, Ali Ozcan Kures, Eugene Pinsky, Kathleen Park

“…Drawing from academic research and modelling, the paper discusses the applications of AI in demand forecasting, inventory optimization, warehouse automation, transportation management, supply chain planning, supplier management, quality control, risk management, and customer service. …”
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Statistical thermal study of ternary hybrid nanofluid flow in coaxial cylinder: artificial neural network approach by s Manjunatha, Khalil Ur Rehman, Wasfi Shatanawi, Tanuja T N

“…Further, the correlation between the parameter on the rate of heat transfer is analysed by using Mean square error and regression graphs. The key outcome of this research is that, the temperature upsurges by increasing the solid volume of nanoparticle due to higher thermal conductivity of the nanoparticles. …”
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Reconstruction of a 3D Real-World Coordinate System and a Vascular Map from Two 2D X-Ray Pixel Images for Operation of Magnetic Medical Robots by Nahyun Kim, Serim Lee, Junhyoung Kwon, Gunhee Jang

“…Finally, the proposed method was applied to in vivo experiments where the MMR was inserted into the superficial femoral artery of a mini pig to remotely control the motion of the MMR. This research will enable precise and effective control of MMRs in various medical procedures utilizing an MNS.…”
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A Method for Generating and Evaluating Magnetic Flux Leakage Data for Large-diameter Pipeline Crack Defects Based on Numerical Simulation and Diffusion Algorithm by Chen Ximing, Li Kun, Fu Mengkai, Zhu Jianjun, Liu Xiaoben

“…The accuracy of the three-dimensional MFL simulation model reaches the engineering requirement （average error <5%）， and 240 groups of crack defect simulation databases were constructed. …”
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Application of EDTA Coordination Titration Method in Field Detection of Zinc in Polymetallic Ores by Qianshu LU, Yuanshun YE, Yinjian WANG, Zhenchao LIU, Jinwei CHEN

“…The relative deviation and relative error of zinc content were 0.00% to 2.11% and 0.00% to 2.41%, respectively. …”
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Development of a Power Calculation Model of Hybrid-Sized Wave Energy Converter Arrays by Anru Fan, Huibo Zhang, Yijia Zhang, Junchen Liu, Jinming Yao

“…Based on the irregular model setting and water entry conditions, an experimental verification study on the power calculation model is carried out using the wave energy converter previously developed by the research team. The results show that the average error of the power calculation model proposed in this paper is less than 10%, demonstrating the accuracy of the model.…”
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Gene Fusion Detection in Long-Read Transcriptome Datasets from Multiple Cancer Cell Lines by Keigo Masuda, Yoshiaki Sota, Hideo Matsuda

“…Background: Fusion genes are important biomarkers in cancer research because their expression can produce abnormal proteins with oncogenic properties. …”
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Nonlinear dynamics of laminar flow in porous channels: Effects of wall dilation and inertial–viscous interplay by Mahmmoud M. Syam, M. Alabdul Razzak, Hossam R. Ammar, Sally Suhel Aldeleh

“…This research introduces a computationally efficient and highly accurate modification to the operational matrix method (OMM) for solving nonlinear boundary value problems commonly encountered in thermal-fluid engineering. …”
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The Impact of Macroeconomic Factors on Mortality from Non-Communicable Diseases: Evidence from Azerbaijan by Mayis Gulaliyev, Masim Abadov, Vugar Gapagov, Irada Mehdiyeva, Jeyhun Mahmudov

“…According to the conclusion of this research, we suggest the enhancement of the HDI and Employment, control out-of-pocket expenditures, and increase Government Healthcare Spending to significantly reduce mortality rates. …”
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Optimizing Artificial Neural Networks with Particle Swarm Optimization for Accurate Prediction of Insulator Flashover Voltage Under Dry and Rainy Conditions by Abdelhalim Mahdjoubi, lazreg taibaoui, Boubakeur Zegnini

“…Rigorous testing demonstrated exceptional accuracy, with a mean absolute percentage error (MAPE) of 0.2458 and a near-perfect coefficient of determination (R²) of 0.999. …”
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Time Prediction in Ship Block Manufacturing Based on Transfer Learning by Jinghua Li, Pengfei Lin, Dening Song, Zhe Yan, Boxin Yang, Lei Zhou

“…Experimental validation demonstrates the superior performance of our approach compared to alternative methods in scenarios with small sample datasets. This research addresses a critical gap in ship block manufacturing time prediction.…”
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Design of drain tube with cone to prevent frost accumulation of drainage hole in household refrigerators using artificial neural network by Suhwan Lee, Dongkuk Kang, Jinxing Fan, Sunghee Kang, Dong Kim, Eunseop Yeom

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Numerical Simulation Analysis of Concrete-Filled Circular CFRP–Steel Middle Long Columns by Chuheng Zhong, Shuai Wang, Jun Leng, Jinzhi Zhou

“…Based on the research on concrete-filled circular steel tubular columns, the influence of carbon-fiber-reinforced polymers (CFRPs) on the ultimate bearing capacity of concrete-filled steel tubes (CFSTs) was further explored in this paper. …”
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