Nonlinear quenching of excitonic emission from nanoplatelet films at high excitation densities by Simon Jessen, Alessio Di Giacomo, Iwan Moreels, Brian Julsgaard, Rosana M. Turtos

“…Despite this, light yield estimations based on a simulated distribution of excitation densities predict values upwards of 2000 ph/MeV, while showing ample room for improvement and the future potential of surpassing the 10 ph/MeV/ps benchmark.…”
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Deep analysis of chemically treated Jute/Kenaf and glass fiber reinforced with SiO2 nanoparticles by utilizing RSM optimization by S. Jothi Arunachalam, R. Saravanan, T. Sathish

“…Experimental results closely matched predicted values, affirming the model's accuracy. The study found that silane concentration had a significant effect on the flexural and hardness properties. …”
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The Relationship of Fractional Exhaled Nitric Oxide Level with Exercise-Induced Bronchoconstriction in Asian Asthmatic Children: A Local Single-Centre Retrospective Diagnostic Stud... by Ka-Nam Au, Eric Yat-Tung Chan, Shuk-Yu Leung

“…The FeNO values of the individuals were converted to z-score with reference to the predicted value of FeNO in Asian children by Yao et al. in 2012. …”
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Géostratégie et considérations écologiques pour la gestion des feux de végétation en Afrique de l’Ouest by Bareremna Afelu, Kombate Bimare, Tionhonkélé Drissa Soro, Somiyabalo Pilabina, Komlan Edou, Marra Dourma, Kouami Kokou

“…Spatio-temporal distribution shows an upward trend in number of active fires from 7,843 in 2000 to 11,994 in 2023 with a predicted value of 18,518 in 2100. Based on the optimistic option of the RCP2.6 hypothesis which assumes that the various mitigation measures included in the national contributions is honored, the predictions show a reduction in the occurrence of fires with reference to the 2000 situation. …”
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A New Two-Phase Pressure Drop Correlation for Metal Foam Channels by Liu Yu, Li Xue, Wang Shixue, Zhu Yu

“…The results show that the absolute average error between the predicted values and experimental data is 22%, which indicates that the new correlation can provide an accurate prediction.…”
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An Observational Study on Pre-natal Diagnosis of Congenital Talipes Equinovarus by Gaurav Vatsa, Saurabh Suman, Siddharth Kumar Singh

“…Diagnostic accuracy metrics, including sensitivity, specificity, and predictive values, were calculated. Results: Among live births, pre-natal US identified CTEV cases, with final confirmation distinguishing structural from positional deformities. …”
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Ranitidine Loaded Biopolymer Floats: Designing, Characterization, and Evaluation by Abdul Karim, Muhammad Ashraf Shaheen, Tahir Mehmood, Abdul Rauf Raza, Musadiq Aziz, Badar Din

“…The resemblance of observed and predicted values indicated the validity of derived equations for evaluating the effect of independent variables while kinetic study demonstrated that the applied models are feasible for evaluating and developing float for RNT.…”
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ALGORITHM FOR ASSESSING TIME AND COST RISKS AT ENTERPRISES OF THE MILITARY-INDUSTRIAL COMPLEX by N.D. Pechalin, A.G. Finogeev

“…The risk analysis algorithm solves the problems of assessing the time and cost parameters of the project task for compliance with the predicted values at an early stage of the production cycle. …”

A Temperature Noise Correction Method for CMOS Spatial Camera Using LSTM With Attention Mechanism by Long Cheng, Xueying Wang, Jing Xu

“…The experimental results show that under the dark field condition, the fitting variance between the predicted value and the measured value ranges from 0.29585 to 5.798307. …”
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Investigating the correlation between ultrasonic pulse velocity and compressive strength in polyurethane foam concrete by R. Roobankumar, M. SenthilPandian

“…The empirical relationships between compressive strength and UPV were found to be exponential, with high correlation values ranging from 0.9012 to 0.9998. The predicted values and the experimentally measured results were compared in order to confirm the accuracy of the empirical equations for compressive strength prediction.…”
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Hybrid-driven modeling using a BiLSTM–AdaBoost algorithm for diameter prediction in the constant diameter stage of Czochralski silicon single crystals by Yu-Yu Liu, Ding Liu, Shi-Hai Wu, Yi-Ming Jing

“…First, the initial prediction of SSC diameter is performed using a mechanistic model and the prediction error is calculated; then, the time series data are processed using a BiLSTM network to generate the predicted values at each time point. Subsequently, the prediction results of the BiLSTM network are weighted and fused by the AdaBoost algorithm to obtain the final time series prediction output, and the prediction performance is further enhanced by iterative optimization. …”
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POWER DOPPLER IMAGING IN PATIENTS WITH SUSPECTED PROSTATE CANCER by T. V. Shatylko, L. N. Sedova, A. Yu. Korolev

“…Sensitivity of power Doppler imaging was 82.4%, specificity was 70.5%, positive and negative predictive values were 66.7% and 72.3% correspondingly. …”
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Comparing random forest flood frequency analysis with regional flood frequency, Creager and SCS in Doab-Qazanchi, Kermanshah by Maryam Hafezparast, Sadaf Gord, Rasool Ghobadian

“…The SCS method was implemented for the flood on 03/04/2019 and it showed that the occurred flood is equivalent to a 25-year flood in this region. The predicted values estimated a lower discharge than the soil conservation service (SCS) method. …”
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A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX) by Jong-Hwan Jang, Yong-Yeon Jo, Sora Kang, Jeong Min Son, Hak Seung Lee, Joon-myoung Kwon, Min Sung Lee

“…In contrast, the proposed framework explores “what-if” scenarios, generating counterfactual ECGs that increase or decrease a model’s predictive values. This approach has the potential to increase clinicians’ trust specific changes—such as increased T wave amplitude or PR interval prolongation—influence the model’s decisions. …”
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IMPLEMENTATION OF THE STEP FUNCTION INTERVENTION AND EXTREME LEARNING MACHINE FOR FORECASTING THE PASSENGER’S AIRPORT IN SORONG by Nur Faizin, Achmad Fauzan, Arum Handini Primandari

“…Therefore, the ELM method is suitable for forecasting the number of passengers with predicted values ​​from June to September 2022 as follows: 47985, 37821, 31247, and 33578. …”
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Prospective Models of Financial Forecasting of budget Revenues by A. K. Karaev, O. V. Borisova

“…The study used such methods as measuring predictive values and the size of their errors, analyzing and comparing the results obtained using methods and models of machine and deep learning. …”
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Experimental Studies on the Thermal Hydraulics of a Fuel Column for a Gas-Cooled Micro Reactor (GMR) by Zheng Huang, Miaoxin Jiao, Jian Jiao, Yanyu Sun, Yanfang Xue, Shuoting Zhang, Dingsheng Wang

“…The measured data of preliminary tests at the facility agree well with the predicted values, which proves the accuracy and reliability of the thermocouples. …”
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Study on cutting force in laser-assisted ultrasonic elliptical vibration machining (LUEVM) of high volume SiCp/Al composites by Peicheng Peng, Tian Tian, Heshuai Yu, Daohui Xiang, Ke Niu, Wei Gao, Yanqin Li, Zhaojie Yuan, Guofu Gao

“…The results show that the predicted value matches the experimental value well, and the maximum error is 18.2 %. …”
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A Hybrid Model Based on Ensemble Empirical Mode Decomposition and Fruit Fly Optimization Algorithm for Wind Speed Forecasting by Zongxi Qu, Kequan Zhang, Jianzhou Wang, Wenyu Zhang, Wennan Leng

“…In this model, the original wind speed data is firstly divided into a finite set of signal components by ensemble empirical mode decomposition, and then each signal is predicted by several artificial intelligence models with optimized parameters by using the fruit fly optimization algorithm and the final prediction values were obtained by reconstructing the refined series. …”
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Intelligent Prediction of the Horizontal Deformation During the Excavation Process Based on Particle Swarm Optimisation and Support Vector Machine by Yu Zhang, Chen Zhang, Zhiduo Zhu, Liu Yang, Hao Tang

“…The average relative error between the predicted value and monitored value was 2.95%. Therefore, the application of the parameter inversion method based on PSO-SVM had a reference value for tunnel pit design. …”
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