Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer by Ayan Chatterjee, Michael A. Riegler, K. Ganesh, Pål Halvorsen

“…These optimized features play a crucial role in developing a stress management system within a Semantic framework. …”
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Implementation of the K-Means Algorithm for Customer Churn Segmentation in Developing Bank Marketing Strategies by Reva Nur Rahmadiana, Dinda Lestarini

“…This study aims to segment customers based on characteristics that influence their churn risk using the K-Means algorithm. The data used in this research is secondary data consisting of 9,763 customer records from a bank customer churn dataset obtained via the Kaggle platform. …”
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Identification of Major Bleeding Events in Postoperative Patients With Malignant Tumors in Chinese Electronic Medical Records: Algorithm Development and Validation by Hui Li, Haiyang Yao, Yuxiang Gao, Hang Luo, Changbin Cai, Zhou Zhou, Muhan Yuan, Wei Jiang

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Attractive Visuality Generation Within the 360˚-VR Video Format as a Technological Trend in Modern Film Production by Ігор Печеранський

“…It is proved that the 360˚-VR video format is a unique audiovisual form that requires a special grammatical, technical and technological base (professional or amateur 360˚ camera, effective tools for creating and editing 360˚video content for the different platforms, Kolor Autopano Video Pro, SIFT algorithm, etc.) thus, brings the use of the immersion principle to a qualitatively new level. …”
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Rice-SVBDete: a detection algorithm for small vascular bundles in rice stem’s cross-sections by Xiaoying Zhu, Weiyu Zhou, Jianguo Li, Jianguo Li, Mingchong Yang, Mingchong Yang, Haiyu Zhou, Haiyu Zhou, Jiada Huang, Jiada Huang, Jiahua Shi, Jun Shen, Guangyao Pang, Lingqiang Wang, Lingqiang Wang, Lingqiang Wang

“…IntroductionVascular bundles play a vital role in the growth, development, and yield formation of rice. …”
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Peculiarities of application of the resources of the Moscow Electronic School platform for the formation of language competence of the students of non-linguistic specialties by Tatyana V. Masharova, Ekaterina K. Starkova, Ivan V. Shunin, Anna S. Pastukhova

“…The peculiarities of the formation of linguistic competence of students of non-linguistic specialties by means of MES include the following: the development of competence proceeds through the search and resolution of problematic situations supported by texts on special topics and posted on the platform; foreign language activities are aimed at solving tasks designed to assimilate the content of linguistic competence at algorithmic and heuristic levels; for the management of educational and speech skills of self-monitoring and self-assessment activities sets of tasks and tests that require systematic work with the resources of the database of materials are used.…”
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Collision Avoidance in Circular Motion of a Fixed-Wing Drone Formation Based on Rotational Modification of Artificial Potential Field by Tagir Muslimov

“…Using the direct Lyapunov method, it is shown that the trajectories of the formation system have uniform boundedness (UB) when using the proposed control algorithm. …”
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A Hybrid Particle Swarm Optimization-Tuning Algorithm for the Prediction of Nanoparticle Morphology from Microscopic Images by Abhishek Singh, Thaseem Thajudeen

“…Abstract Aggregated nanoparticle structures are quite ubiquitous in aerosol and colloidal science, specifically in nanoparticle synthesis systems such as combustion processes where coagulation results in the formation of fractal-like structures. In addition to their size, morphology of the particles also plays a key role in defining various physicochemical properties. …”
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An ensemble of deep representation learning with metaheuristic optimisation algorithm for critical health monitoring using internet of medical things by Mai Alduailij

“…Abstract The Internet of Things (IoT) plays a significant part in the healthcare field. …”
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An intelligent framework for sarcasm detection in Arabic tweets using deep learning with Al-Biruni earth radius optimization algorithm by Reema G. AL-anazi, Muhammad Swaileh A. Alzaidi, Majdy M. Eltahir, Wafa Sulaiman Almukadi, Samah Hazzaa Alajmani, Abdulbasit A. Darem, Mohammed Alshahrani, Nawaf Alhebaishi

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Susceptibility assessment of freeze-thaw erosion induced debris flow using random forest, Eastern Tibetan Plateau by Yongjie Yang, Yongjie Yang, Yongjie Yang, Yuqi Zhang, Yuqi Zhang, Yuqi Zhang, Hai Huang, Hai Huang, Jinsong Zhu, Jinsong Zhu, Jinsong Zhu, Qiwei Lv, Qiwei Lv, Qiwei Lv, Jiang Peng, Jiang Peng

“…Machine learning algorithms have shown excellent results in susceptibility assessment of debris flow hazards in different areas. …”
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Safety anchors and deflected desires: generative AI and the production of sexualities by Daniel Carter

“…Drawing on Rieder’s concept of algorithmic techniques, it considers current methods of prohibiting the generation of sexual content and uses these as a base for discussing the ways that AI might play a role in the formation of sexualities. …”
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Exploring the effect of training set size and number of categories on ice crystal classification through a contrastive semi-supervised learning algorithm by Y. Chu, Y. Chu, H. Zhang, X. Li, J. Henneberger

“…<p>The shapes of ice crystals play an important role in global precipitation formation and the radiation budget. …”
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The Spatial Distribution and Driving Mechanism of Soil Organic Matter in Hilly Basin Areas Based on Genetic Algorithm Variable Combination Optimization and Shapley Additive Explana... by He Huang, Yaolin Liu, Yanfang Liu, Zhaomin Tong, Zhouqiao Ren, Yifan Xie

“…Based on the genetic algorithm, 47 environmental variables are combined and optimized to construct a random forest (RF) model and an improved version—a random forest model based on genetic algorithm variable combination optimization (RF-GA). …”
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Attack resilient IoT security framework using multi head attention based representation learning with improved white shark optimization algorithm by Jawhara Aljabri

“…The main intention of the MHAID-IWSOA methodology relies on enhancing the cybersecurity detection and migration model using advanced optimization algorithms. Initially, the data pre-processing applies min–max scaling to transform input data into a beneficial format. …”
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Bio-inspired generative design of contact interfaces subjected to time-dependent loading conditions by David Hernandez-Aristizabal, Santiago Arroyave-Tobón, Kalenia Marquez-Florez, Jean-Marc Linares

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Interaction of immune response mediator genes in a predisposition to juvenile idiopathic arthritis by Liliia Sh. Nazarova, Ksenia V. Danilko, Viktor A. Malievsky, Denis O. Karimov, Akhat B. Bakirov, Tatyana V. Viktorova

“…Conclusion — The results of our study implied that an important role in the formation of a predisposition to JIA is played by gene-gene interactions of IL1B rs16944, IL2RA rs2104286, IL6 rs1800795, IL10 rs1800872, NFKB1 rs28362491, and PADI4 rs2240336 polymorphic loci (taking into account gender-specific differences).…”
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B. D. Karvasarsky and psychotherapy establishment as a distinct discipline, homo faber, to the 90-th anniversary since birth by A. V. Vasileva, T. A. Karavaeva, E. B. Mizinova

“…B. D. Karvassarsky has played an essential, key role in the psychotherapy formation as a science and distinct discipline. …”
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Enhanced clustering techniques for lithofacies and electrofacies identification in post-salt carbonate and siliciclastic reservoirs: a case study from the campos basin, Brazil by Abel Carrasquilla, Herson Rocha

“…Modern borehole logging and interpretation techniques play a crucial role in reducing operational costs while enhancing reservoir evaluation. …”
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Targeted Chemical Looping Materials Discovery by an Inverse Design by Brett A. Duell, Ali Ramazani, Sittichai Natesakhawat, Eric J. Popczun, Jonathan W. Lekse, Yuhua Duan

“…To address this challenge, a high‐throughput inverse machine learning workflow that identifies optimum materials from perovskite oxides for a given set of targets is developed—temperature and Gibbs free energy of oxygen formation. The model is trained on high‐throughput density functional theory calculations of CLOU materials and inverts the materials design process using a genetic algorithm to produce realistic substituted SrFeO3‐δ compositions as output. …”
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