The digital geographies of tact by Mike Duggan

“…It raises questions of how and why digital spaces and practices produce new trajectories for displays of tact in everyday life, how digital spaces modulate our understanding and experiences of touch, as well as asking whether algorithmic decision making technologies such as Artificial Intelligence have a capacity for tact, and what that means for the geographies these systems shape. …”
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A SAP-DoA Method for the Localization of Two Buried Objects by Simone Meschino, Lara Pajewski, Giuseppe Schettini

“…Several simulations have been performed to compare different DoA algorithms and to test the localization method in the presence of two buried cylinders. …”
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Assessing marine ecosystem risks through unsupervised methods by Laura Pavirani, Pasquale Bove, Gianpaolo Coro

“…This study evaluates six unsupervised methods — four clustering algorithms (Multi K-means, Fuzzy C-means, X-means, and DBSCAN) and two machine-learning models (an Artificial Neural Network, ANN, and a Variational Autoencoder, VAE) — to assess marine ecosystem risk in the Mediterranean Sea automatically, using open-access data from 2017 to 2021. …”
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Technologies, processes and tools between innovation and design quality by Andrea Tartaglia

“…The growing performance of IT tools for the project allows to delegate entire phases of the conceptual and decision-making process thanks to the diffusion of algorithmic models referable to the category of artificial intelligence capable of automating important segments, if not the entire process of project production. …”
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Conception of Automated Control Traffic System Development in the Republic of Belarus by D. V. Kapsky, E. N. Kot

“…The proposed classification permits to structurize control methods and algorithms for every system and prepare a list of technical means for systems of various level. …”
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Comparative Analysis of Diabetes Prediction Models Using the Pima Indian Diabetes Database by Zhao Yize

“…The K-means model operates by grouping data points into separate clusters according to their characteristics, achieving an accuracy of 90.04% in diabetes prediction. …”
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Reactualising the problem of social engineering and digital security by Марина Колінько, Галина Петришин, Галина Чумак

“…Social engineering is considered as a strategic technology of constructing new meanings, principles, rules and facts of social interaction. …”
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PECULIARITIES OF VOCABULARY CONSTRUCTION IN THE ASSOCIATIVE-METAPHORIC DICTIONARY OF THE RUSSIAN LANGUAGE DESIGNED FOR THE NEEDS OF AUTOMATED TEXT PROCESSING SYSTEMS (AMD-ATPS) by Nikolai Golovko

“…A formal criterion is proposed, that reflects the spe-ciic features of metaphorical transition by means of external parameters of lexical units while taking into account the problematic nature of establishment of strict requirements for the selected words, conditioned by the essence of metaphor as the transfer of meaning by similarity. …”
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Instagramabilna estetika by Senka Božić- Vrbančić

“…I begin by addressing issues arising from the spread of social media platforms like Instagram, particularly the role of marketing and the subtle operations of digital algorithms. From there, I explore the shifting notion of “authenticity” in tourist sites like Telašćica, where the Instagrammable aesthetic takes root, redefining what it means for a place to be “seen.” …”
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Comparative study on Functional Machine learning and Statistical Methods in Disease detection and Weed Removal for Enhanced Agricultural Yield by Sudha D., Menaga D.

“…The technology has developed to rectify the problems using some machine learning algorithms like Random Forest algorithms, Decision trees, Naïve Bayes, KNN, K-Means clustering, Support vector machines. …”
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Machine Learning and the Conundrum of Stroke Risk Prediction by Yaacoub Chahine, Matthew J Magoon, Bahetihazi Maidu, Juan C del Álamo, Patrick M Boyle, Nazem Akoum

“…Another avenue of research explored is ML as a means of enriching multiscale computational modelling, which holds great promise for revealing thrombogenesis mechanisms. …”
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Powder Bed Fusion via Machine Learning-Enabled Approaches by Utkarsh Chadha, Senthil Kumaran Selvaraj, Abel Saji Abraham, Mayank Khanna, Anirudh Mishra, Isha Sachdeva, Swati Kashyap, S. Jithin Dev, R. Srii Swatish, Ayushma Joshi, Simar Kaur Anand, Addisalem Adefris, R. Lokesh Kumar, Jayakumar Kaliappan, S. Dhanalakshmi

“…Some special-purpose algorithms were listed as follows: GAN, SeDANN, SCNN, K-means, PCA, etc. …”
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Innovative activity of teachers - myth or reality? by A. P. Usol’tsev, E. P. Antipova

“…The innovative activity of teachers is usually described as the creative activity of a sole inventor and the activity of mass teachers, who follow prepared algorithms in the framework of large-scale innovative projects. …”
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The storyteller by James Danielsen

“…This story is inspired by the growing feasibility of Decentralised Autonomous Corporations (DACs), operating by means of distributed blockchain technologies. The story is set in the near future where a decentralised corporation – powered by machine-learning algorithms and fed on an unending stream of data – has entirely penetrated the fabric of society. …”
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Modelling, Control Design and Inclusion of Articulated Robots in Cyber-Physical Factories by Květoslav Belda, Lukáš Venkrbec, Jan Jirsa

“…The concept of Industry 4.0 is discussed in respect to the proposed algorithms and software means.…”
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On Clustering in Qualitative Spatial and Temporal Reasoning by Abderrahmane Boukontar, Jean-François Condotta, Yakoub Salhi

“…These include introducing a formal clustering framework for qualitative data, implementing a satisfiability encoding to compute a clustering, introducing two appropriate distance measures for Qualitative Relation Networks, and experimentally validating through adaptations of k-means and Hierarchical Agglomerative Clustering algorithms.…”
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Emergent behaviors in multiagent pursuit evasion games within a bounded 2D grid world by Sihan Xu, Zhaohui Dang

“…After training with MARL algorithms, pursuers achieved a 99.9% success rate in 1,000 randomized pursuit-evasion trials, demonstrating the effectiveness of the learned strategies. …”
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Analysis of the Urban Development Technologies of Ukek using Neural Networks (preliminary research results) by Singatulin Rustam A.

“…This study presents the main approaches, algorithms, and data processing methods, including geoinformation systems (GIS), clustering, optimization algorithms, and various types of neural networks such as convolutional, recurrent, and deep networks. …”
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Scheduling Approach for the Simulation of a Sustainable Resource Supply Chain by Henning Strubelt, Sebastian Trojahn, Sebastian Lang, Abdulrahman Nahhas

“…The process sequence is determined by means of a priority index. Genetic algorithms are then applied to improve the priority index to further increase performance. …”
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Unsupervised Learning for Heart Disease Prediction: Clustering-Based Approach by Jetty Janani., Sk Sajida Sultana., Polepalle Ranga Bhavitha., Parusu Vishwitha.

“…We have compared models K-Means Clustering, DBSCAN, Agglomerative Clustering, Gaussian Mixture Model, and Spectral Clustering, wherein K-Means brought out the best result that happened to be 84 percent with the groups formed for patients using nuanced risk indicators. …”
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