A machine learning model for the computation of thermophysical properties of WCO biodiesel mixed with multiwalled carbon nanotubes by Hussain Syed Sameer, Ali Syed Abbas, Husain Dilawar, Sharma Manish

“…The optimum model’s results indicate that six hidden neurons (2_6H_5) can accurately predict the aforementioned properties under various operating conditions. …”
Get full text

Cyber hygiene of the digital twin of the civil aviation occupational safety management system in the context of quantum transformation by Kayrat Koshekov, Baurzhan Bakirov, Almat Sakhov, Levchenko Nataliіa, Yuri Tanovitskiy, Abay Koshekov, Yakub Kurbanov, Rustam Togambayev

“…Results: a methodology for assessing the cyber hygiene of the digital twin of the occupational safety management system of engineering and technical personnel of civil aviation in the context of quantum transformation has been developed; it has been proven that the process of transition of the cyber hygiene system from one state to another, in response to the measures taken, is an iterative process, which allows dynamically monitoring the effectiveness of the taken measures on DT cyber hygiene and predicting its further state; algorithm for the sequence of stages of assessing the state of DT cyber hygiene and their relationship within a cyclic process has been developed. …”
Get full text

The Enhancer–Promoter-Mediated <i>Wnt8a</i> Transcription During Neurite Regrowth of Injured Cortical Neurons by Shr-Han Weng, Wen-Ling Liao, Linyi Chen

“…In this study, we investigated the regulatory mechanism of <i>Wnt8a</i> transcription. An algorithm was developed to predict the novel enhancer regions of candidate genes. …”
Get full text

STRATEGIC PLANNING AT THE ENTERPRISE: APPLICATION OF A METHOD OF THE ANALYSIS OF HIERARCHIES FOR THE STRATEGIC ACTIVITY MONITORING by Ilya V. Samarin, Alexander N. Fomin

“…The matrix method which is the return method ofthe analysis of hierarchies, allowing to estimate and predict a situationwith implementation of the plan in all structures of the enterprise andrealizing procedure of strategic monitoring at the enterprise is developed. …”
Get full text

FastGEMF: Scalable High-Speed Simulation of Stochastic Spreading Processes Over Complex Multilayer Networks by Mohammad Hossein Samaei, Faryad Darabi Sahneh, Caterina Scoglio

“…Predicting stochastic spreading processes across large-scale multi-layered networks remains a significant computational challenge due to the intricate interplay between network structure and spread dynamics. …”
Get full text

Analysis and mitigation of greenhouse gases by replacing traditional energy with a hybrid energy system using battery optimization by Madhusudhanan Sampath, Amalorpava Mary Rajee Samuel, Yamuna Devi M.M, Senthil Murugan

“…The stability analysis is evaluated using the LO algorithm, specifically focusing on the changes predicted by the energy index of the self-reliance report, optimising the system’s performance under varying environmental conditions. …”
Get full text

Optimization of drilling parameters to minimize delamination in CNT-filled GFRP composites using machine learning by Aveen K P, Ullal Vignesh Nayak, K M Pranesh Rao, Shivaramu H T, V Londhe Neelakantha, Shashikumar C M

“…A machine learning based multi-output random forest regression model with hyper parameter tuning was used to predict the T, F, and delamination factor (Fd). The algorithm showed that the most important parameter that influenced delamination was speed (s) followed by the feed rate (f) and filler content respectively. …”
Get full text

Study of Cutting Forces in Drilling of Aluminum Alloy 2024-T351 by Răzvan Sebastian Crăciun, Virgil Gabriel Teodor, Nicușor Baroiu, Viorel Păunoiu, Georgiana-Alexandra Moroșanu

“…The experimental plan included 27 combinations of the parameters of the cutting regime (cutting depth, cutting speed, and feed), for which energetic cutting parameters were measured, the axial force and the torsion moment, respectively Based on these data, a neural network was trained, using the Bayesian regularization algorithm, in order to predict the optimal values of the cutting energy parameters. …”
Get full text

Feature-Based Classification of Amino Acid Substitutions outside Conserved Functional Protein Domains by Branislava Gemovic, Vladimir Perovic, Sanja Glisic, Nevena Veljkovic

“…PolyPhen-2 and SIFT had significantly lower accuracies in predicting the effects of amino acid substitutions outside CFDs than expected, with especially low sensitivity. …”
Get full text

Optimization of a Coupled Neuron Model Based on Deep Reinforcement Learning and Application of the Model in Bearing Fault Diagnosis by Shan Wang, Jiaxiang Li, Xinsheng Xu, Ruiqi Wu, Yuhang Qiu, Xuwen Chen, Zijian Qiao

“…Using the SNR as the evaluation metric, the algorithm performs data screening on the replay buffer parameters before training the deep network for predicting coupled neuron model performance. …”
Get full text

Soil moisture dominates gross primary productivity variation during severe droughts in Central Asia by Tao Yu, Guli Jiapaer, Anming Bao, Ye Yuan, Jiayu Bao, Tim Van de Voorde

“…P-model simulations indicate that SM deficits dominated the decline in GPP in 2008 and 2021, affecting regions covering 31 % and 17 % of CA, respectively, with GPP reductions exceeding 5 %. RF predictions also indicated that during severe drought, SM had a significant effect on GPP, while Srad, Tem, and VPD had a slight effect on GPP.…”
Get full text

Efficient Design Optimization Assisted by Sequential Surrogate Models by Emiliano Iuliano

“…The paper proposes a global optimization algorithm employing surrogate modeling and adaptive infill criteria. …”
Get full text

Effect of cross-sectional area discontinuities in closed hard-walled ducts on frequency of longitudinal modes by Mirosław MEISSNER

“…An accuracy of the method was checked by a comparison of analytic predictions with calculation data obtained by use of numerical implementation based on the forced oscillator method with a finite difference algorithm.…”
Get full text

From Gas Sensors to Artificial Neural Networks: A New Precision Farming Approach for Crop Coefficient Determination by Francesco Tralli, Barbara Fabbri, Matteo Valt, Alessandro Drago, Vincenzo Guidi

“…This study aims to utilize gaseous emissions from cultivation to predict the crop coefficient, an indirect measure of plant water stress. …”
Get full text

Hand segmentation pipeline from depth map: an integrated approach of histogram threshold selection and shallow CNN classification by Zhengze Xu, Wenjun Zhang

“…We found that MINIMUM, MEAN and MEDIAN are effective ways to separate objects and the threshold in the valley between two maxima similar to MINIMUM algorithm with a minimum error. Then, each segmentation proposal is evaluated by a 3-layers shallow convolutional neural network (CNN) which is trained as a binary classification function to predict whether it is a partition of hand. …”
Get full text

Application of Finite Mixture of Logistic Regression for Heterogeneous Merging Behavior Analysis by Gen Li

“…This model can automatically provide useful hidden information about the characteristics of the driver population. EM algorithm and Newton-Raphson algorithm were used to estimate the parameters. …”
Get full text

Liver Disease Classification using the NAIVE BAYES by Vitra Nurhalisa, Ika Nur Fajri

“…The fast training time and transparent probabilistic predictions of the Naive Bayes algorithm make it a practical solution for developing a prototype of a medical decision support system. …”
Get full text

Entropy-Guided Distributional Reinforcement Learning with Controlling Uncertainty in Robotic Tasks by Hyunjin Cho, Hyunseok Kim

“…To address this, we improve the truncated quantile critics algorithm by managing uncertainty in robotic applications. …”
Get full text

Design and Implementation of OLAP System for Distributed Data Warehouse by Murtadha Hamad, Abdullah Mahdi

“…Statistical analysis concepts are used from current work to get predictable results which can be used to get suitable result DSS.…”
Get full text

Information support for chub mackerel Scomber japonicus fishery in the Pacific waters of the Russian Federation by E. P. Chernienko, I. S. Chernienko

“…Approximately 75 % of the annual catch of chub mackerel was caught at the predicted sites in 2020; this portion reached 84 % in the period of the highest catches.…”
Get full text