Advancing the Prediction and Evaluation of Blast-Induced Ground Vibration Using Deep Ensemble Learning with Uncertainty Assessment by Sinem Bozkurt Keser, Mahmut Yavuz, Gamze Erdogan Erten

“…The empirical approaches give inaccurate results, as evident in the literature. Hence, numerous researchers have started to use fast-growing soft computing approaches that are satisfying in prediction performance. …”
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Spectrophotometric Determination of Micro Amount of Chromium (III) Using Sodium 4-((4,5-diphenyl-imidazol-2-yl)diazenyl)-3-hydroxynaphthalene-1-sulfonate in the Presence of Surfact... by Hawraa Abdul Hadi Abdul Ameer, Alaa Frak Hussain

“…UV-visible rays were used to investigate the chromium complex, while Relative Standard Deviation (RSD%) and Relative Error (E %) were used to assess the precision and accuracy of the novel method. …”
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Design of multiple-stage hydraulic cylinder for structural safety and sealing analysis by Qi Haonan, Rivaldo Mersis Brilianto, Minsu Choi, Chul Kim

“…Due to the large working distance of horizontal multi-stage hydraulic cylinders, large deflections appear with several structural safety problems, such as leakages. Recently, several researchers have used the finite element analysis to analyse the structural safety of multi-stage hydraulic cylinders at their maximum working location; however, the relationship between the large deflection and the sealing problem has not been discussed much. …”
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Deep-Learning-Based AI-Model for Predicting Dental Plaque in the Young Permanent Teeth of Children Aged 8–13 Years by Banu Çiçek Tez, Yasin Güzel, Bahar Başak Kızıltan Eliaçık, Zafer Aydın

“…Manual plaque assessment is time-consuming, error-prone, and particularly challenging in uncooperative pediatric patients. …”
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OT-PCA: New Key-Recovery Plaintext-Checking Oracle Based Side-Channel Attacks on HQC with Offline Templates by Haiyue Dong, Qian Guo

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Free-space Optical Communication based on Augmentation of OAM Modes by DAI Weijie, SU Xiaofeng, LIU Xiaoqian, ZHANG Liyan, WEI Tiankuo, SONG Jian, DONG Yuhan

“…Anti-turbulence effect has long been a pursuit of researchers in the field of OAM-FSOC.【Methods】In the context of high-capacity optical wireless communication based on the OAM mode, turbulence causes symmetric diffusion of the OAM spectrum. …”
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Sensitive and specific peak detection for SELDI-TOF mass spectrometry using a wavelet/neural-network based approach. by Vincent A Emanuele, Gitika Panicker, Brian M Gurbaxani, Jin-Mann S Lin, Elizabeth R Unger

“…SELDI-TOF mass spectrometer's compact size and automated, high throughput design have been attractive to clinical researchers, and the platform has seen steady-use in biomarker studies. …”
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Short-Term Prediction of the Solar Photovoltaic Power Output Using Nonlinear Autoregressive Exogenous Inputs and Artificial Neural Network Techniques Under Different Weather Condit... by Abdulrahman Th. Mohammad, Wisam A. M. Al-Shohani

“…Therefore, this aspect has received great attention from researchers, who have investigated accurate and credible models to predict the power output of PV modules. …”
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Machine learning-based equations for improved body composition estimation in Indian adults. by Nick Birk, Bharati Kulkarni, Santhi Bhogadi, Aastha Aggarwal, Gagandeep Kaur Walia, Vipin Gupta, Usha Rani, Hemant Mahajan, Sanjay Kinra, Poppy A C Mallinson

“…Our equations are made available for use by other researchers.…”
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METHOD FOR ESTIMATING THE DOPPLER FACTOR OF A BROADBAND SIGNAL UNDER CONDITIONS OF MULTIPLICATIVE INTERFERENCE WITH UNKNOWN PROBABILITY DISTRIBUTION by Pavlo Kostenko, Mykyta Alonkyn, Valeriy Slobodyanuk, Mykhailo Rovetskii, Ivan Rovetskii

“…The distribution of estimates using the maximum likelihood method doesn`t have a clear extremum in the researched frequency interval.The modeling results showed that in conditions of signal distortion by multiplicative interference, the error in estimating the signal`s Doppler frequency, which is obtained by maximizing the cross-correlation function of the observation and the expected signal, is significantly greater than when using the objective function based on SG statistics. …”
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Drive-by damage detection based on the use of CWT and sparse autoencoder applied to steel truss railway bridge by Lorenzo Bernardini, Francesco Morgan Bono, Andrea Collina

“…In the last two decades, vehicle-assisted bridge monitoring has emerged among researchers and engineers as a promising tool to support visual inspections, being a cost-efficient alternative to direct Structural Health Monitoring systems. …”
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SAR Radiometric Cross-Calibration Based on Multiple Pseudoinvariant Calibration Sites With Extensive Backscattering Coefficient Range by Yongsheng Zhou, Xiang Chen, Qiang Yin, Fei Ma, Fan Zhang

“…Such stable ground targets, named pseudoinvariant calibration sites (PICSs), have been extensively researched for optical sensors, but there has been comparatively less focus on SAR sensors. …”
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A Probability Fusion Approach for Foot Placement Prediction in Complex Terrains by Jingfeng Xiong, Chuheng Chen, Yuanwen Zhang, Xinxing Chen, Yuepeng Qian, Yuquan Leng, Chenglong Fu

“…Prediction of foot placement presents great potential in better assisting the walking of people with lower-limb disability in daily terrains. Previous researches mainly focus on foot placement prediction in level ground walking, however these methods cannot be applied to daily complex terrains including ramps, stairs, and level ground with obstacles. …”
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Challenges in defining thresholds for health effects: some considerations for asbestos and silica by Julie E. Goodman, Lorenz R. Rhomberg, Samuel M. Cohen, Kenneth A. Mundt, Bruce Case, Igor Burstyn, Michael J. Becich, Graham Gibbs

“…It was also noted that, in such evaluations, measurement error in diagnosis and exposure assessment needs to be incorporated into risk analyses. …”
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Epidemiological criteria for causation applied to human health harms from RF-EMF exposure: Bradford Hill revisited by John William Frank

“…Wide dissemination of such Guidelines could help researchers, journals and their reviewers in this field to execute, review and publish higher-quality studies to better inform evidence-based policy.…”
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Leveraging large language models for data analysis automation. by Jacqueline A Jansen, Artür Manukyan, Nour Al Khoury, Altuna Akalin

“…Our primary goal is to enable researchers to conduct data analysis by simply describing their objectives and the desired analyses for specific datasets through clear text. …”
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CSDK: A Chi-square distribution-Kernel method for image de-noising under the Internet of things big data environment by Lin Teng, Hang Li

“…It attracts a lot of researchers’ attention and has important economic and social values. …”
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Chronic Rhinosinusitis with Nasal Polyps and Biologics: A Call for Better Data Standardisation and Presentation in Clinical Studies by Kariyawasam HH, Langan D, Rimmer J

“…For binary outcomes, the number of individuals experiencing the event should be reported alongside the number of observations that the summary is based on.Effect estimates and inferential statistics presented in a journal article are less ideal for meta-analysis. However, if researchers do choose this option, then estimates should be accompanied by a standard error or confidence interval. …”
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An attention mechanism and fully connected layer-based dual-branch network for bioluminescent tomographic reconstruction by Lin Wang, Chenrui Pan, Minghua Zhao, Xin Cao, Xueli Chen

“…The development of deep learning has provided new potential for extending the applications of optical BLT. Researchers have introduced various methods such as neural networks and self-attention mechanisms to improve reconstruction accuracy. …”
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Characterizing the Temporally Dynamic Nature of Relative Growth Rates: A Kinetic Analysis on Nitrogen-, Phosphorus-, and Potassium-Limited Growth by Andrew Sharkey, Asher Altman, Yuming Sun, Thomas K. S. Igou, Yongsheng Chen

“…In this study, the researchers hydroponically cultivated Bibb lettuce (<i>Lactuca sativa</i>) across a variety of nitrogen, phosphorus, and potassium (NPK)-limited treatments and developed robust data-driven kinetic models observing nutrient uptake, biomass growth, and tissue composition based on all three primary macronutrients. …”
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