Search Results - Algorithmic fairness

<italic>Goal:</italic> Over the decades, there have been improvements in the sequence alignment algorithm, with significant advances in various aspects such as complexity and accuracy. However, human-defined algorithms have an explicit limitation in view of developmental completeness. Th...

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Many objective optimizations (MaOO) algorithms that intends to solve problems with many objectives (MaOP) (i.e., the problem with more than three objectives) are widely used in various areas such as industrial manufacturing, transportation, sustainability, and even in the medical sector.  Various ap...

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With the advent of computer electroencephalographs, mathematical methods for EEG processing began to actively develop, some of which have found their application in current clinical practice, others – in brain-computer systems, some algorithms are used only in scientific research, whereas the remain...

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Many research studies have designed intelligent traffic light scheduling algorithms. Some researchers rely on specialized sensors and hardware to gather real-time traffic data at signalized road intersections. Others benefit from artificial intelligence techniques and/or cloud computing technologies...

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This article deals with the problem of counteracting illicit cultivation of narcotic plants, which is a fairly common crime in the sphere of drug trafficking. The idea that counteraction to these crimes is possible with the help of modern methods of investigation is substantiated. The authors of the...

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In this paper, we introduce a new linear received signal strength-based estimator for unknown node localization which its accuracy at low Signal-to-noise ratio (SNR) is better than many linear estimators and can compete with estimators based on the convex optimization, but it is much lighter than co...

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Objectives. This article presents an application for the processing of scanned images of sales receipts for subsequent extraction of text information using the Tesseract OCR Engine. Such an application is useful for maintaining a family budget or for accounting in small companies. The main problem o...

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This review analyzes recent advancements in facial recognition and classification algorithms, emphasizing the critical role of preprocessing techniques in enhancing the algorithms’ accuracy, reliability, and efficiency. Facial image preprocessing is a critical step in various applications, including...

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The CBM experiment at FAIR (GSI, Germany) is among the most significant upcoming projects in heavy-ion physics. It is designed to investigate the properties of dense baryonic matter under extreme conditions. A key feature of the experiment is the high interaction rate, reaching up to 107 collisions...

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The advancement of super-resolution and sharpening algorithms for satellite images has significantly expanded the potential applications of remote sensing data. In the case of Sentinel-2, despite significant progress, the lack of standardized datasets and evaluation protocols has made it difficult t...

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For practical applications, we propose a technology for searching ordered sets of feasible solutions of the inverse magneto-prospecting problem. It is oriented towards using the elements of the guarantee approach, which is realized due to the construction and analysis of fairly broad communities of...

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Forage biomass exhibits temporal and spatial variability driven by microenvironmental conditions and diverse management practices in pastures. Common forage sampling strategies, such as random or transect-based sampling, often overlook this variability, potentially resulting in unrepresentative samp...

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Background. Machine learning methods turn to be an effective tool for data processing and provide ample opportunities for analyzing the results of psychodiagnostics. At the same time, they have a number of advantages over traditional correlation, factor, regression analysis and allow for a systemic...

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In this work, we present an enhanced version of the Kolmogorov&#x2013;Arnold network (KAN) algorithm, called Cheby-KAN, that offers a more efficient, more reliable, and faster alternative to conventional KANs. We integrated our algorithm with a geometric deep learning model (SchNet) to assess th...

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With the development of sixth-generation mobile communication technology (6G), ultra-reliable and low latency communication (URLLC) is vital for latency-sensitive applications. User-centric cell-free massive MIMO (CF-mMIMO) architectures meet these demands by removing cell boundaries and ensuring fa...

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Awal mulanya, algoritma hanya dipakai untuk solusi penyelesaian persamaan matematika sederhana, seperti aljabar, aritmatika, probabilitas, dan lainnya yang lebih banyak dikerjakan secara manual dan membutuhkan waktu dan upaya yang cukup tinggi seperti pada kasus penghitungan nilai kompleksitas wakt...

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Accurate assessment of biomass fuel properties is essential for quality control and fair market pricing, particularly when dealing with variable moisture content (MC) in agricultural residues. This study investigates the use of near-infrared (NIR) spectroscopy to predict the lower heating value (LHV...

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Introduction. Ensuring the trouble-free operation of road transport is one of the priority tasks. The functioning of the internal combustion engine, the most important unit, is impossible without the correct operation of the fuel injectors. A modern electromagnetic nozzle is a fairly reliable elemen...

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Currently, in the structure of mortality in the Russian Federation and a number of other countries, oncological diseases occupy a leading position among other causes. Melanoma of the skin is one of the most aggressive malignant tumors, with rapid progression, often leading to death in a fairly short...

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The right to receive fair wages is guaranteed by the state. The protection and restoration of violated rights are entrusted to various state structures, including investigative and judicial authorities. To establish an objective picture of the event in question and the fact of non-payment of wages t...

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