Use of filtration and electricity analogy in simulation of underflooding protection in urban construction by V. I. Sologaev

“…The methodology for complex calculation and modelling of the joint processes of water filtration in soils, the flow of electric current and electroosmotic filtration can find useful application in the development of effective protection against underflooding in urban construction. a sequence of algorithmic modelling steps is recommended. initially, it is recommended to run rough spreadsheet simulations on personal computers and mobile phones. next, a different modelling approach should be applied. based on the initial rough models of the previous step, it is necessary to write the algorithms in the programming language. the compiled model of the investigated filtration and electroosmosis processes will significantly increase the reliability of the design of protection against underflooding.conclusion. a comparison is made of the joint use of construction dewatering means of different physical essence, with simultaneous processes of gravitational filtration of underground water and passing a direct electric current through the drained soil, which causes an additional effect of electroosmosis. it is proposed to apply in a new way the analogy of water filtration and electric current in order to achieve more effective results of engineering activities by modeling protection against underflooding of building areas, ensuring the safety of urban construction when the level of groundwater rises.…”
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Elogio de la lentitud. Modulaciones temporoespaciales de decolonización del dispositivo digital en la sociedad algorítmica by Verónica Paula Gómez

“…This leads to the strengthening of an algorithmic society in which the opacity of information means the loss of futurity in the hands of a closed circuit of knowledge-power and truth. …”
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Resilience evaluation of memristor based PUF against machine learning attacks by Hebatallah M. Ibrahim, Heorhii Skovorodnikov, Hoda Alkhzaimi

“…Our main contribution is a holistic study that focuses on attacking the randomness output resiliency based on building randomness predictors using Logistic Regression (LR), Support Vector Machine (SVM), Gaussian Mixture Models (GMM), K-means, K-means $$++$$ + + , Random Forest, XGBoost and LSTM, within efficient time, and data complexity. …”
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AI-powered literature search: some observations and concerns by Farooq Azam Rathore, Fareeha Farooq

“…They should clearly outline their article selection criteria and summarization algorithms. This should be clearly displayed at the appropriate place at the website…”
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Adaptive clustering for medical image analysis using the improved separation index by Mojtaba Jahanian, Abbas Karimi, Nafiseh Osati Eraghi, Faraneh Zarafshan

“…Extensive experiments on benchmark datasets (MNIST, CIFAR-10) and real-world clinical modalities (chest X-ray, ECG, RNA-seq) demonstrate that SONSC consistently outperforms classical methods such as K-Means, DBSCAN, and spectral clustering in ISI, Silhouette score, and normalized mutual information (NMI). …”
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Hygrobot: Hydrogen-Powered Mobile Robotic Platform for Rough Terrain: Electro-Mechanical Design, Physical Implementation, and Experimental Testing by Cirilo Delgado Asencio, Francisca Segura Manzano, José Manuel Andújar Márquez

“…Its mechanical design means that Hygrobot is able to overcome obstacles, facilitating movement in the three XYZ axes, and can perform tasks over rough terrain efficiently.…”
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Managing Supply on Market of ‘Last Mile’ Delivery in Sphere of Fast-Moving Consumer Goods by D. A. Porokhovnik, I. G. Kamenev

“…Specific features of this activity were grounded that prevent direct use of available means in the field of logistics, management, on-line marketing, etc. …”
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Low-Complexity Gaussian Detection for MIMO Systems by Tianbin Wo, Peter Adam Hoeher

“…Using factor graphs as a general framework and applying the Gaussian approximation, three low-complexity iterative detection algorithms are derived, and their performances are compared by means of Monte Carlo simulations. …”
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METHODICAL ASPECTS OF SYSTEM MAXIMA IN LEARNING PROCESS OF OPERATIONS RESEARCH by Taras Kobylnyk, Ulyana Kogut

“…The purpose of the article is an experimental trial of CMS Maxima as a means of teaching of operations research of bachelors of computer science. …”
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Internet, Big data y nuevas tecnologías: repercusiones y respuestas del ordenamiento jurídico | Internet, Big data and new tecnologies: implications and responses from the legal s... by Marina Sancho López

“…This scenario requires a rethinking of legal concepts such as state or private life that have taken a new meanings and, therefore, they demand legal constructions capable of reinforcing control over our most fundamental rights. …”
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Application of Fischer semi discriminant analysis for speaker diarization in costa rican radio broadcasts by Roberto Sánchez Cárdenas, Marvin Coto-Jiménez

“…In this work, a first annotated dataset and analysis of speaker diarization for Costa Rican radio broadcasting is performed, using two approaches: a classic one based on k-means clustering, and the more recent Fischer Semi Discriminant. …”
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A survey on multi-agent reinforcement learning and its application by Zepeng Ning, Lihua Xie

“…Some representative stochastic games, MARL means, spatial forms of MARL, and task classification are revisited. …”
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Detecting Source Code Plagiarism in Student Assignment Submissions Using Clustering Techniques by Raddam Sami Mehsen, Majharoddin M. Kazi, Hiren Joshi

“…Numerous studies have investigated algorithms for revealing different types of plagiarism and detecting source code plagiarism. …”
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Radar-Based Heart Cardiac Activity Measurements: A Review by Alvaro Frazao, Pedro Pinho, Daniel Albuquerque

“…What was found was that the system architecture and signal processing algorithms had the most impact on the performance, with FMCW being the best performing architecture, whereas factors like carrier frequency did not have an impact.This means that newer systems can focus on cheaper, lower-frequency systems without any performance degradation, which will make research easier.…”
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Impact of driving characteristic parameters and vehicle type on fuel consumption and emissions performance over real driving cycles. by Elmira Bagheri, Masoud Masih Tehrani, Mohammad Azadi, Ashkan Moosavian

“…Nineteen real driving cycles were generated using widely employed K-means and PCA algorithms. The vehicles were simulated on MATLAB/Simulink according to their specifications. …”
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Application of Ultra Wideband Signal with High Repetition Rate in Forward Scatter Multi-Static Radar System by E. A. Kolokoltsev, A. V. Myakinkov

“…Such signal is generated by means of combination of a number of sequences with different repetition periods. …”
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Ethno-Specific Codes: Metaphor and Everyday Symbolization of Objectified Space in Anna Nerkagy’s Story “The White Moss” by D. E. Ertner, O. B. Ulyanova, S. B. Khabibullina

“…This article is intended to reveal certain “algorithms of speech behavior” embedded in the language, the principles of mythologization and metaphorical objectification of the real world, to reveal more deeply the structure of understanding a literary text. …”
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Design of intelligent English translation teaching system combined with bidirectional encoder representation by Shanshan Xu

“…With the continuous progress of artificial intelligence technology, an intelligent education system has become an essential means to improve teaching efficiency and quality. …”
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Internet, Big data y nuevas tecnologías: repercusiones y respuestas del ordenamiento jurídico | Internet, Big data and new tecnologies: implications and responses from the legal s... by Marina Sancho López

“…This scenario requires a rethinking of legal concepts such as state or private life that have taken a new meanings and, therefore, they demand legal constructions capable of reinforcing control over our most fundamental rights. …”
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Photography in the Age of Surveillance: Ethics and the Photographer’s Responsibility by Çeyiz MAKAL FAIRCLOUGH

“…Through an analysis of their practices, this study demonstrates how photography can function as a means of interrogating and destabilising the power structures inherent in surveillance systems. …”
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