Designing a green forward and reverse logistics network with an IoT approach considering backup suppliers and special disposal for epidemics management by Sina Abbasi, Sara Damavandi, Amirhossein RadmanKian, Kian Zeinolabedinzadeh, Yigit Kazancoglu

“…This study presents two problem-solving techniques: the LP-metric method for small problems and the whale optimization algorithm (WOA) for medium and large-scale issues. …”
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Anomaly Detection in IoMT Environment Based on Machine Learning: An Overview by Peyman Vafadoost Sabzevar, Hamidreza Rokhsati, Alireza Chamansara, Ahmad Hajipour

“…In today's era, the Internet of Things has become one of the important pillars in organizations, hospitals, and research circles and is recognized as an integral part of the Internet. …”
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Nonlinear Viscoelastic-Plastic Creep Model of Rock Based on Fractional Calculus by Erjian Wei, Bin Hu, Jing Li, Kai Cui, Zhen Zhang, Aneng Cui, Liyao Ma

“…By using a user-defined function fitting tool of the Origin software and the Levenberg–Marquardt optimization algorithm, the creep test data are fitted and compared. …”
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The Concept of ‘Truth’ in Legal Science: A Theoretical Exploration by Pavel L. Likhter

“…The author explores the concept of “truth” in jurisprudence, positioning it both as the ultimate goal of legal research and as an autonomous entity with independent value due to its ability to reflect objective reality in scientific knowledge. …”
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Recognition of Manipulative Text: Structure and Dominant Language Parameters by Gulmira N. Kenzhebalina, Gulvira K. Shaikova, Maygul T. Shakenova, Inessa G. Akoyeva

“…The study is based on the hypothesis of a uniform structure of the manipulative text in the context of big data research for further machine processing. Based on the formed working definition of manipulability, an algorithm for analyzing media texts has been developed, which includes a complex of speech and language indicators. …”
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A REVIEW ON THE ROLE OF ARTIFICIAL INTELLIGENCE IN MEDICINE AND CLINICAL SCIENCES by Erum Akhter, Afshan Siddiq, Sadia Ghousia Baig

“…Through detailed research, this study provides important insights into how AI may significantly enhance medical practices. …”
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Applying a Support Vector Machine (SVM-RFE) Learning Approach to Investigate Students’ Scientific Literacy Development: Evidence from Asia, Europe, and South America by Jian Li, Jianing Wang, Eryong Xue

“…Our research has pinpointed 30 key factors from a broader set of 162 contextual factors that are indicative of outstanding scientific literacy among 15-year-old secondary school students. …”
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Machine Learning Ensemble Classifiers for Feature Selection in Rice Cultivars by Chandrakumar Thangavel, D Sakthipriya

“…Selecting a rice cultivar requires considering local environmental and seed factors. This research examines classification algorithms like K-Nearest Neighbor (KNN), Decision Tree (DT), NaiveBayes (NB), Support Vector Machine (SVM), and Random Forest (RF) with wrapper feature selection techniques like SFFS, SBEFS, CBFS, VIF, and RANDIM for environmental and seed data. …”
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Main factors in the transformation of regional and ethnic identity by T. I. Gerasimenko

“…Gumilyov regarding the adaptation of ethnic groups to landscapes, as well as to apply an analysis algorithm based on the study of various forms of interethnic contacts and ethnic processes. …”
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MODEL SEM-PLS TERBAIK UNTUK EVALUASI PEMBELAJARAN MATEMATIKA DISKRIT DENGAN LMS by Novi Mardiana, Ahmad Faqih

“…The Main Model is formed based on all research latent variables and evaluated by stages 1) PLS-Algorithm, 2) Bootstrapping and 3) Blindfolding. …”
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Optimization of Liquefied Air Energy Storage System Coupled with Organic Rankine Cycle by Jianshe LI, Yihua DONG, Haihua LUO

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Evaluation of the effectiveness of an intervention strategy in a control simulation experiment through comparison with model predictive control by R. Nagai, Y. Bai, M. Ogura, M. Ogura, S. Kotsuki, S. Kotsuki, N. Wakamiya

“…We specifically develop an MPC algorithm tailored for the Lorenz-63 model, incorporating temporal deep unfolding to address challenges in controlling chaotic systems. …”
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Bio-inspired multi-dimensional deep fusion learning for predicting dynamical aerospace propulsion systems by Michael Qian Vergnolle, Eastman Z. Y. Wu, Yanan Sui, Qian Wang

“…Previous forecasting research has primarily concentrated on global trend analysis using full-scale inputs. …”
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Bi-uncertainty Network Frame Planning Method for Distribution Network with Electric Vehicles by Yiting SHEN, Jing ZHANG, Peng WU, Lu LIU, Jianlin YANG

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A Non-Contact Privacy Protection Bed Angle Estimation Method Based on LiDAR by Yezhao Ju, Yuanji Li, Haiyang Zhang, Le Xin, Changming Zhao, Ziyi Xu

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On the melt differentiation in the intermediate chamber (by the example of differentiated intrusives of the western slope of the Southern Urals) by S. G. Kovalev, S. S. Kovalev

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WisdomModel: convert data into wisdom by Israa Mahmood, Hasanen Abdullah

“…Purpose – Traditional classification algorithms always have an incorrect prediction. As the misclassification rate increases, the usefulness of the learning model decreases. …”
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GenSDF: An MPI-Fortran based signed-distance-field generator for computational fluid dynamics applications by Akshay Patil, Udhaya Chandiran Krishnan Paranjothi, Clara García-Sánchez

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Generic Method for Social–Environmental System Boundary Delineation—An Amalgamation of Spatial Data Integration, Optimization, and User Control for Resource Management by Mohammad Shahriyar Parvez, Xin Feng

“…Despite its significance, existing SES delineation methods often rely on subjective judgment and struggle with the non-linear, multi-scale nature of SES data, leading to challenges in effective resource management and policymaking. This research addresses these gaps by proposing a novel, reproducible framework for SES boundary delineation that integrates both vector and raster data, utilizing advanced spatial optimization techniques and dimension reduction algorithms like UMAP to manage the non-linear characteristics of SES. …”
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Feather teaching and training based on Kinect sensor and gesture recognition technology by Luoluo Zhang, Pin Zhong

“…The results showed that the recognition algorithm proposed in this study better achieved joint angle conversion, with estimation error less than observation error. …”
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