Annotated test-retest dataset of lung cancer CT scan images reconstructed at multiple imaging parameters by Binsheng Zhao, Laurent Dercle, Hao Yang, Gregory J. Riely, Mark G. Kris, Lawrence H. Schwartz

“…This holds considerable value for advancing the development of robust Radiomics, Artificial Intelligence (AI) and machine learning (ML) methods.…”
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Experimental and numerical investigations of full-field strain measurement and fracture parameter of lead-free solder using DIC technique by Tao Quang Bang, Nguyen Van Thien An, Lahouari Benabou, Nguyen Xuan Hung

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INFLUENCE OF WELDING PARAMETERS ON WELD BEAD GEOMETRY IN LASER BEAM WELDING OF CARBON STEEL ST 37 by Sandor Ravai Nagy, Mihail Aurel Titu, Gheorghe Ioan Pop, Alina Bianca Pop, Peter Kosa

“…Welding parameters such as welding speed, argon flow rate, and distance between the welded plates were varied, while keeping other parameters constant. …”
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Experimental study on DEM parameters calibration for organic fertilizer by the particle swarm optimization − backpropagation neural networks by Fandi Zeng, Limin Liu, Yinzeng Liu, Hongbin Bai, Chunxiao Li, Zhihuan Zhao

“…Abstract In order to calibrate the properties of the organic fertilizer particles, this work employs an integrated strategy that combines simulations, machine vision techniques, and physical experiments. …”
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Optimizing Doppler Ultrasound Parameters: The Study of Insonation Angle, PRF, and Dynamic Range in Blood Flow Assessment by Sri Oktamuliani, Takuro Ishii, Yoshifumi Saijo

“…This study optimizes these parameters to enhance Doppler ultrasound performance and diagnostic accuracy. …”
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Type series of resonant vibration equipment for concrete mixtures compaction and its main parameters calculation method by V. G. Zedgenizov, S. Kh. Faizov

“…The purpose of this article is to develop a standard range of resonant vibration equipment for compacting concrete mixtures and a methodology for calculating its main parameters.The object of research is the oscillatory system of a vibrating machine, consisting of two masses connected by the elastic and dissipative elements. …”
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XModNN: Explainable Modular Neural Network to Identify Clinical Parameters and Disease Biomarkers in Transcriptomic Datasets by Jan Oldenburg, Jonas Wagner, Sascha Troschke-Meurer, Jessica Plietz, Lars Kaderali, Henry Völzke, Matthias Nauck, Georg Homuth, Uwe Völker, Stefan Simm

“…The Explainable Modular Neural Network (XModNN) enables the identification of biomarkers, facilitating the classification of diseases and clinical parameters in transcriptomic datasets. The modules within XModNN represent specific pathways or genes of a functional hierarchy. …”
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Optimization of Reservoir Water Quality Parameters Retrieval and Treatment Using Remote Sensing and Artificial Neural Networks by Alice Nureen Adhiambo Omondi, Yashon Ouma, Simon Njoroge Mburu, Cleophas Mecha Achisa

“…The use of earth observations and machine learning methods has not been done extensively in developing countries, specifically, in water quality monitoring and management. …”
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Correlating Indoor Environmental Quality Parameters with Human Physiological Responses for Adaptive Comfort Control in Commercial Buildings by Haoyue Dai, Saba Imani, Joon-Ho Choi

“…Sensors tracked environmental parameters, while wearable devices monitored physiological responses. …”
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Prevalence of Plasmodium falciparum Parasitaemia and Its Correlation with Haematological Parameters among HIV-Positive Individuals in Nigeria by Olusola Ojurongbe, Oluwatoyin Adeola Oyeniran, Oyebode Armstrong Terry Alli, Sunday Samuel Taiwo, Taiwo Adetola Ojurongbe, Adekunle Olugbenga Olowe, Oluyinka Oladele Opaleye, Oluwaseyi Adegboyega Adeyeba

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Retrieval of water quality parameters based on IOA-ML models and their response to short-term hydrometeorological factors by Wentong Hu, Donghao Miao, Chi Zhang, Zixian He, Wenquan Gu, Dongguo Shao

“…Study focus: Large-scale and high-precision estimation of water quality parameters (WQPs) is critical in explaining the spatiotemporal dynamics and clarifying their response to short-term hydrometeorological factors. …”
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Evidence linking phthalate exposure to alterations of hematologic parameters in Chinese children: A cross-sectional study by Mei-Ting Wei, Ying Wen, Zhu-Xia Zhang, Xiu-Ju Liu, Feng-Xiang Wei, Wei-Qiang Liu, Li Zhou, Ding-Yan Chen, Yao Yao

“…Nine phthalate metabolites (mPAEs) and four hematologic parameters (white blood cell [WBC] count, red blood cell [RBC] count, hemoglobin [Hb], and platelet [PLT] count) were measured at the same time. …”
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A Milling Method for Elliptic-arc-tooth-trace Cylindrical Gear by Zhao Kunpeng, Song Aiping, Dou Chaoran, Zi Hao Chu, Yuegang

“…By analyzing the ideal geometric parameters,the equations of tooth surface and contact ratio are deduced. …”
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Laser–Arc Welding Adaptive Model of Multi-Pre-Welding Condition Based on GA-BP Neural Network by Zesheng Wu, Zhaodong Zhang, Gang Song

“…The assembly condition and machined dimension of the pre-welding groove significantly impact the selection of the welding parameters. …”
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Design of the Initiative Parameterization Accurate 3D Model of ZA Worm gear and Worm by Liu Guangwu, Hou Hongsheng, Tang Yangyang

“…The tooth surface of worm gear of ZA-type worm gear and worm transmission is spatial conjugate surface of complex worm cylindrical spiral surface,the mathematical equations describing of the worm gear tooth surface is complex,parametric accurate modeling is difficult.According to the principle of worm hob enveloping machining worm tooth surface,collaborative using the PDG,GSD,ASD,DMU SPA,DMU KIN 5functional modules and knowledge tools of CATIAV5 platform,the method of control the affine parameter family of curves to create a leading multi-section composite configuration 3Ddigital modeling used for precise parametric digital modeling of the ZA worm gear is proposed,a controllable parameter modeling processes with the negative feedback control of the contact analysis of the static and dynamic area is constructed,a foundation of accurate parametric 3Ddigital modeling for worm gear and worm transmission CAE advanced analysis is laid.…”
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Multiobjective Optimization of Milling Parameters for Ultrahigh-Strength Steel AF1410 Based on the NSGA-II Method by Jin Xu, Fuwu Yan, Yan Li, Zhenchao Yang, Long Li

“…The NSGA-II has been applied to obtain a set of optimal combination of parameters from the Pareto-optimal solution set to enhance the machining conditions.…”
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Parameters Substantiation of Headers and Reaper-Headers for Various Classes Combine Harvesters in the Incomplete Loading Mode of the Thresher by V. L. Astaf'ev, R. F. Tashmukhamedov, U. V. Zhivul'ko

“…The authors revealed the discrepancy between the standard sizes of the used reaping machines and regional zonal features.(Research purpose) To substantiate the parameters of headers and reaper-headers for combine harvesters in the incomplete loading mode of the thresher.…”
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Analysis of the Influence of Turning Parameters of CUZN39PB3 and AW 6060 Materials on Surface Roughness by Leszek Tomczewski, Jagoda Muszyńska-Pałys

“…The roughness parameters Ra and Rz were selected for the analysis. …”
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Research on high-precision large-aperture laser differential confocal-interferometric optical element multi-parameter measurement method by Weiqian Zhao, Liang Tang, Shuai Yang, Lirong Qiu

“…This method enables high-precision, high-stable, and high-efficient common baseline measurements for the multiple parameters of optical elements with large, medium, and small apertures thereby providing an effective technical approach for improving the detection and machining precision of optical elements.…”
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An Artificial Neural Network Model for Prediction of the Operational Parameters of Centrifugal Compressors: An Alternative Comparison Method for Regression by seyed hossain ebrahimi, Ahmad afshari

“…Different values of those parameters related to every point of operational conditions will exactly affect on the compressor poly-tropic efficiency and their driver fuel consumption. …”
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