Exploring the Realization of Creative Dimensions within the Metaverse: The Case of Tabriz Metropolis by Saied Jaffari namvar, Hossein Nazmfar, Ibrahim Taghav

“…Additionally, less attention is paid to strong public education and access to cultural activities vital to forming creative people. …”
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Supervised Machine Learning for Classification of the Electrophysiological Effects of Chronotropic Drugs on Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes. by Christopher Heylman, Rupsa Datta, Agua Sobrino, Steven George, Enrico Gratton

“…The results demonstrate the ability of our algorithm to accurately assess, classify, and predict hiPS-CM membrane depolarization following exposure to chronotropic drugs.…”
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A self-learning method with domain knowledge integration for intelligent welding sequence planning by Weidong Shen, Xuewen Wang, Juanli Li, Yong Wang, Xiaojun Qiao

“…With FEA as the benchmark, the maximum relative error of the welding deformation predicted by the algorithm designed to predict the welding deformation was 8%. …”
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Catalog of C-Paired Spin-Momentum Locking in Antiferromagnetic Systems by Mengli Hu, Xingkai Cheng, Zhenqiao Huang, Junwei Liu

“…By combining the proposed algorithm and high-throughput first-principles calculations, we predict 38 magnetic point groups and identify 142 experimentally verified AFMs that can realize CSML. …”
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Application of Digital Twin Technology in Information and Measurement Systems by V. A. Baronova, N. V. Romantsova

“…This information was further used to develop a mathematical and algorithmic support for predicting the state of technological equipment. …”
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COMPUTER FORECASTING AND EXPERIMENTAL VALIDATION OF ANTIAGGREGATE PROPERTIES OF CETRINE, GLURENORM, MOEX AND DILTHIAZEM by Nikolay P. Votintsev

“…A new algorithm and 'Drug' database, permitting to predict new actions of familiar medical products, are developed and registered. …”
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Finite Element Model Updating in Bridge Structures Using Kriging Model and Latin Hypercube Sampling Method by Jie Wu, Quansheng Yan, Shiping Huang, Chao Zou, Jintu Zhong, Weifeng Wang

“…Compared to the predicted results obtained by using a genetic algorithm, the proposed method can reduce the computational time without losing the accuracy.…”
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Forecasting temperature of the internal combustion engine using adaptive model by V. P. Denisov, A. P. Dombrovsky, S. S. Zhuravlev

“…The value of temperature predicted on the basis of Brown’s adaptive model is used for switching operating modes of the cooling fan. …”
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Antibody responses to Borrelia burgdorferi detected by western blot vary geographically in Canada. by Nicholas H Ogden, Julie Arsenault, Todd F Hatchette, Samir Mechai, L Robbin Lindsay

“…In this study, accuracy of individual proteins of the IgG WB algorithm in predicting the overall test result in samples from Canadians was assessed. …”
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General numerical solution of integral equation for long‐range low‐frequency groundwave propagation over irregular terrain by Dan‐Dan Wang, Qi‐Zirui Lu, Chao Han, Yun Fang, Yu‐Rong Pu

“…Numerical results in two surface types, including triangular mountain and actual terrain are used to demonstrate the performance of the presented algorithm. Furthermore, it is ascertained that the non‐physical perturbations at long propagation ranges in the IE predictions are caused by the inherent uniform‐grid schemes of the numerical solution rather than the several approximations in the derivation of the IE form.…”
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Optimization of Rituximab Therapy in Adult Patients With PLA2R1-Associated Membranous Nephropathy With Artificial Intelligence by Alexandre Destere, Maxime Teisseyre, Diane Merino, Marion Cremoni, Alexandre O Gérard, Thomas Crepin, Noémie Jourde-Chiche, Daisy Graça, Kévin Zorzi, Céline Fernandez, Vesna Brglez, Sylvia Benzaken, Vincent L.M. Esnault, Sylvain Benito, Milou-Daniel Drici, Barbara Seitz-Polski

“…We developed a machine learning algorithm to predict the risk of underdosing based on patients’ characteristics at rituximab infusion. …”
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Enhanced Convolutional Neural Network for Accurate Crop Recommendation System on Climate Data by Adnan Myasar M., AI_Sadi Hafidh l., Abhilash Pideka Kundil

“…The chosen features are classified and Improved Convolutional Neural Network (ICNN) algorithm predicts crops accurately. Our model, combining the CS-ICNN framework, offers enhanced recommendations by considering both soil-specific characteristics and environmental factors. …”
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Viscous Flow and Dynamic Stall Effects on Vertical-Axis Wind Turbines by A. Allet, I. Paraschivoiu

“…The viscous model, developed here, is used to predict aerodynamic loads and performance for the Sandia 17-m wind turbine. …”
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MEDULLARY THYROID CARCINOMA by V. S. Medvedev, P. A. Isayev, A. A. Ilyin, D. Yu. Semin, V. V. Polkin, D. N. Derbugov, S. V. Vasilkov

“…Multicenter trials are required to elaborate a diagnostic algorithm, to define treatment policy, and to predict an outcome.…”
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Harnessing gene expression to identify the genetic basis of drug resistance by Bo‐Juen Chen, Helen C Causton, Denesy Mancenido, Noel L Goddard, Ethan O Perlstein, Dana Pe'er

“…We systematically applied our algorithm to data generated from a collection of yeast segregants, using genotype and gene expression data generated under drug‐free conditions to predict the response to 94 drugs and experimentally confirmed 14 novel gene–drug interactions. …”
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Student Engagement Recognition: Comprehensive Analysis Through EEG and Verification by Image Traits Using Deep Learning Techniques by Ajitha Sukumaran, Arun Manoharan

“…In this paper, we propose an engagement recognition system that detects student engagement using EEG signals by integrating levels of valence and arousal with the Russel 2D circumplex model using deep learning algorithm. The public DEAP dataset was used for training the model to predict valence and arousal values. …”
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Integer linear programming for unsupervised training set selection in molecular machine learning by Matthieu Haeberle, Puck van Gerwen, Ruben Laplaza, Ksenia R Briling, Jan Weinreich, Friedrich Eisenbrand, Clémence Corminboeuf

“…Within the context of physics-inspired machine learning (ML) applied to chemistry, we demonstrate the relevance of an ILP formulation to select molecular training sets for predictions of size-extensive properties. We show that our algorithm outperforms existing unsupervised training set selection approaches, especially when predicting properties of molecules larger than those present in the training set. …”
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Perceived age estimation from facial image and demographic data in young and middle-aged South Korean adults by Ilkoo Ahn, Younghwa Baek, Bok-Nam Seo, Su Eun Lim, Kyoungsik Jung, Ho Seok Kim, Jeongkyun Kim, Sukyung Lee, Siwoo Lee

“…Thus, this study aimed to propose a novel perceived age estimation algorithm to meet the need for an objective method to predict perceived age. …”
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Fuzzy logic based adaptive duty cycling for sustainability in energy harvesting sensor actor networks by Sai Krishna Mothku, Rashmi Ranjan Rout

“…In this work, current residual energy, predicted harvesting energy (for a futuristic time slot) and predicted residual energy parameters are considered as fuzzy input variables to estimate duty cycle for a sensor node. …”
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A Hybrid Deep Learning–Based Feature Selection Approach for Supporting Early Detection of Long-Term Behavioral Outcomes in Survivors of Cancer: Cross-Sectional Study by Tracy Huang, Chun-Kit Ngan, Yin Ting Cheung, Madelyn Marcotte, Benjamin Cabrera

“…ObjectiveThis study aimed to create a new feature selection algorithm to improve the performance of machine learning classifiers to predict negative long-term behavioral outcomes in survivors of cancer. …”
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