USING RETROSPECTIVE DATA TO ASSESS THE UNCERTAINTY OF INDICATORS OF BIOLOGICAL SAFETY OF FOOD AND FEED RAW MATERIALS by B. Zhukоv, A. Makarynska, T. Strakhova, I. Semenyuk

“…Retrospective results of routine measurement of certified reference material and interlaboratory comparisons are an effective source of input data for assessing the uncertainty of the results of measuring biological safety indicators of agricultural raw materials. …”
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ED-SA-ConvLSTM: A Novel Spatiotemporal Prediction Model and Its Application in Ionospheric TEC Prediction by Yalan Li, Haiming Deng, Jian Xiao, Bin Li, Tao Han, Jianquan Huang, Haijun Liu

“…It can effectively capture long-range spatial dependencies using SA-ConvLSTM and achieve unequal input-output lengths through encoder–decoder structure. …”
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River total dissolved gas prediction using a hybrid greedy-stepwise feature selection and bidirectional long short-term memory model by Khabat Khosravi, Salim Heddam, Changhyun Jun, Sayed M. Bateni, Dongkyun Kim, Essam Heggy

“…The GSFST selected the optimal input combination, including dam spill, water temperature, barometric pressure, and sensor depth. …”
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Transmission Performance Analysis of Universal Coupling Spider by Wenjun Mao, Yinhua Zhang, Weihua Song, Changhai Tian, Guoliang Geng, Haiquan Li

“…The angle between the input / output shaft of the universal coupling with spider is a key parameter that affects its unevenness. …”
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How do Twitter users feel about telehealth? A mixed‐methods analysis of experiences, perceptions and expectations by Hannah Sazon, Soraia de Camargo Catapan, Afshin Rahimi, Oliver J. Canfell, Jaimon Kelly

“…Methods Mixed‐methods study with sequential complementary quantitative and qualitative phases was used for analysis stages comprising (1) a quantitative semiautomated analysis and (2) a qualitative research‐led thematic analysis. …”
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Evaluating hospital performance with additive DEA and MPI: the Isfahan University of Medical Science case study by Shirin Alsadat Hadian, Reza Rezayatmand, Saeedeh Ketabi, Nasrin Shaarbafchizadeh, Ahmad Reza Pourghaderi

“…Thirteen indicators (four inputs and nine outputs) were selected as model variables by brainstorming in the expert panel. …”
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Computer Vision in Monitoring Fruit Browning: Neural Networks vs. Stochastic Modelling by Maria Kondoyanni, Dimitrios Loukatos, Charalampos Templalexis, Diamanto Lentzou, Georgios Xanthopoulos, Konstantinos G. Arvanitis

“…Using both the BI and YI as input vectors in the NN Bayesian classifier increased the correct classification rate of control samples to 82.85% (4.6% increase) and to 89.81% (15% increase) for treated samples. …”
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Evaluating Empirical Dynamic Modeling for forecasting: The role of variation among time series replicates by Fleur Slegers, Robbin Bastiaansen, Edwin Pos

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CRITERIA FOR TOBACCO IDENTIFICATION FOR HOOKAH AND NON-TOBACCO MIXTURE FOR HEATING by M. V. Shkidyuk, S. V. Gvozdetskaya, O. K. Bedritskaya, G. P. Shuraeva

“…The smoking pattern on a laboratory smoking machine does not fully reflect the behavioral profile of a person, however, the quantitative composition of the aerosol obtained from machine testing can be used as input to determine the risk of the product.During the research, laboratory and analytical equipment was used: CERULEAN SM 405 linear smoking machine; "Expert-001-1(0.1)" ionomer, SF-16 spectrophotometer, Crystal 2000M / HP 5890 Series 11 chromatograph with FID.Experimental data have been obtained to evaluate consumer and physic-chemical parameters, including organoleptic evaluation, the content of nicotine, glycerin and propylene glycol in samples of tobacco for hookah / non-tobacco mixture for heating.The method of machine generation and collection of the solid-liquid phase of an aerosol has been standardized, which makes it possible to obtain reliable data on the quantitative content of nicotine in the produced aerosol. …”
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The efficacy of extensive reading strategies for enhancing reading comprehension among 4th year EFL students at Mizan Tepi University by Tamirat Taye, Gemechis Teshome

“…The findings therefore suggested that extensive reading seems to be one of the most real and feasible approaches for input-poor EFL classrooms.…”
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Data normalization in machine learning by V. V. Starovoitov, Yu. I. Golub

“…In machine learning, the input data is often given in different dimensions. …”
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3D face reconstruction from single image with generative adversarial networks by Mehdi Malah, Mounir Hemam, Fayçal Abbas

“…Indeed, in order to generate a face mesh with expression, our idea is to use the landmarks associated with this image as input to the generator to reconstruct a face geometry with expression and improve the convergence rate. …”
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Quantized Feedback Control of Active Suspension Systems Based on Event Trigger by Jinwei Sun, Jingyu Cong, Weihua Zhao, Yonghui Zhang

“…Finally, numerical simulations are carried out to evaluate the efficacy of the proposed controller. Different quantitative and trigger conditions are discussed, and the random road excitation is considered as the external disturbance input. …”
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A spatial scene reconstruction framework in emergency response scenario by Nan Zheng, Danhuai Guo

“…Specifically, the BERT based spatial information knowledge graph extraction method is used to encode the input text, label and classify the encoded text, identify spatial objects and relationships in the text, and accurately extract spatial information. …”
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A Practical Three-dimensional Tool for Real-time Safety-security Risk Assessment of Process Facilities by Giulia Marroni, Michela Guarguaglini, Sanneke Kuipers, Dino Dentone, Valeria Casson Moreno, Gabriele Landucci

“…Despite the rising interest in the security of process facilities, current tools offer at most semi-quantitative evaluations based on simplifying assumptions. …”
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Prediction and Evaluation of Industrial Land Intensive Use: Adding Policy Impact to System Dynamics Model by Jiaojiao Luo, Yuzhe Wu, Liang Zhang

“…In this research, IUIL is deconstructed into four aspects: input intensity, utilization intensity, economic benefits, and environmental benefits. …”
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Random Forest versus Support Vector Machine Models’ Applicability for Predicting Beam Shear Strength by Hayder Riyadh Mohammed Mohammed, Sumarni Ismail

“…Experimental datasets were collected from the open-source literature including the related geometric properties and concrete characteristics of beam specimens. Nine input combinations were constructed based on the statistical correlation to be supplied for the proposed predictive model. …”
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Faktor-Faktor Yang Mempengaruhi Kinerja Perusahaan Dimoderasi Oleh Financial Technology by Irmawati H. R., Jamaluddin Majid, Suhartono Suhartono

“…This research contributes as input for relevant agencies to pay special attention to the development of company performance and becomes a facilitator for medium-sized businesses in improving their understanding of financial aspects.…”
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Count Loss Evaluation for Accuracy Enhancement of a FPGA-Based Gamma Spectroscopy by Hoai-Phuong Pham, Viet-Huy Le, The-Dat Trang, Nhi-Dien Nguyen

“…Experiment shows that the PRP is linearly proportional to the input rate and dependent on the shaping time. The PRP was proven reproducible with a statistical uncertainty of below 3%. …”
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A monitoring network SIMNet for weld penetration status based on multimodal fusion by Qi Jiang, Yiming Wang, Yan Kong, Yu Liu, Ce Ma

“…Furthermore, the inference speed with multimodal input reaches 60 frames per second (FPS), enabling quantitative and real-time multimodal fusion intelligent penetration state monitoring.…”
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