Search Results - Algorithmic fairness
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Procedure for Separate Accounting of Interest and Exchange Rate Components of the Fair Value of a Set of Financial Instruments: IFRS
Published 2022-11-01“…The research considers the development of the principles of separate accounting and analysis of the interest and exchange rate components of the fair value of a set of financial instruments under the International Financial Reporting Standards (IFRS). …”The research considers the development of the principles of separate accounting and analysis of the interest and exchange rate components of the fair value of a set of financial instruments under the International Financial Reporting Standards (IFRS). The aim of the work is to consider a practical s...
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Mitigating Digital Discrimination in Dating Apps – The Dutch Breeze case
Published 2025-06-01“…(i) Is the discrimination based on ethnicity in Breeze's matching algorithm illegal? (ii) How can dating apps mitigate or stop discrimination in their matching algorithms? …”In September 2023, the Netherlands Institute for Human Rights, the Dutch non-discrimination authority, decided that Breeze, a Dutch dating app, was justified in suspecting that their algorithm discriminated against non-white. Consequently, the Institute decided that Breeze must prevent this discrim...
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Improved Control Mechanism of Bottleneck Bandwidth and Round-Trip Propagation Time v3 Congestion with Enhanced Fairness and Efficiency
Published 2025-02-01“…In 2016, Google proposed the Bottleneck Bandwidth and Round-trip propagation time (BBR) algorithm to mitigate network congestion. However, its network fairness is poor. …”The widespread adoption and popularity of various applications have led to large and frequent data transmissions, resulting in network congestion, high packet delays, and packet loss. In 2016, Google proposed the Bottleneck Bandwidth and Round-trip propagation time (BBR) algorithm to mitigate networ...
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Algorithmic Bias as a Core Legal Dilemma in the Age of Artificial Intelligence: Conceptual Basis and the Current State of Regulation
Published 2025-06-01“…This article examines algorithmic bias as a pressing legal challenge, situating the issue within the broader context of artificial intelligence (AI) governance. …”This article examines algorithmic bias as a pressing legal challenge, situating the issue within the broader context of artificial intelligence (AI) governance. We employed comparative legal analysis and reviewed pertinent regulatory documents to examine how the fragmented U.S. approaches and the EU...
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Max–Min Share-Based Mechanism for Multi-Resource Fair Allocation with Bounded Number of Tasks in Cloud Computing System
Published 2025-07-01“…We propose a lexicographic max–min maximin share (LMM-MMS) fair allocation mechanism and design a non-trivial polynomial-time algorithm to find an LMM-MMS solution. …”Finding a fair and efficient multi-resource allocation is a fundamental goal in cloud computing systems. In this paper, we consider the problem of multi-resource allocation with a bounded number of tasks. We propose a lexicographic max–min maximin share (LMM-MMS) fair allocation mechanism and design...
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Ethical, Legal, and Socioeconomic Aspects of Implementing Artificial Intelligence in Tax Administration
Published 2025-07-01Get full textThis study examines the integration of artificial intelligence (AI) in tax law and administration, underscoring key ethical, legal, and socioeconomic dimensions. It explores how AI can improve tax compliance and foster innovation, yet simultaneously raising concerns regarding fairness, transparency...
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Asset Valuation Concept
Published 2024-06-01“…A procedure for using fair value is proposed. The subjectivity and labor intensity of its determination of fair value are highlighted. …”The purpose of the study is to analyse the problems arising from the use of historical cost, market value and fair value to increase the relevance of reporting data. The research is based on such scientific methods as analysis, synthesis, deduction, scientific abstraction. When writing the article,...
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Algorithms for Integrated Object Detection in Wireless Sensor Networks
Published 2025-05-01“…The analysis of the synthesized algorithm can be performed with sufficient accuracy, with the algorithm parameters and the probability of errors when moving from sensor to sensor being determined by fairly simple recurrent expressions. …”Introduction. Wireless sensor networks can be used to solve various economic problems, including detection of objects (phenomena) of interest. Most of the well-known information processing algorithms in such networks are built according to a radial architecture. Such an approach assumes each sensor...
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HUMAN EMOTION RECOGNITION SYSTEM USING DEEP LEARNING ALGORITHMS
Published 2022-09-01“…Therefore, the purpose of the work is to find and optimize the most satisfactory in terms of accuracy algorithm for classifying human emotions based on facial images. …”The subject of research in the article is the software implementation of a neural image classifier. The work examines emotions as a special type of mental processes that express a person’s experience of his attitude to the surrounding world and himself. They can be expressed in different ways: faci...
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METHOD AND ALGORITHMS OF CALCULATION OF PARAMETERS OF RELIABILITY IN ACCORDANCE WITH MULTIVARIATE DATA
Published 2017-01-01“…The lack of specialized software systems, the knowledge-intensiveness of algorithms of calculation needed for the solution of operational tasks determine the predominant application of the intuitive approach. …”Assessments of the relevance of the kinds of attributes regulated by classifiers, evaluation of parameters of individual reliability, of parameters of reliability of multivariate data clusters relate to the primary problems the decision of which would make it possible to reduce operational expenses...
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Analyzing cryptographic algorithm efficiency with in graph-based encryption models
Published 2025-07-01“…Computational performance of (i) the worst-case time complexity of star algorithm (proposed) is O(bd) where b is the branching factor and d is the depth and space complexity is O(E + V) where E is the number of edges and V is the number of nodes, high (central node access) traversal efficiency, excellent (centralized graph encoding) suitability for graph-based encryption, very high structural simplicity, (ii) the worst case time complexity of A* Algorithm is O(bd) where b is the branching factor and d is the depth and space complexity is O(E + V) where E is the number of edges and V is the number of nodes, high (with good heuristic) traversal efficiency, good (needs proper graph abstraction) suitability for graph-based encryption, moderate structural simplicity, (iii) the average case time complexity and best case time complexity of Dijkstra's Algorithm is O((V + E) log V) and the worst case time complexity is O((V2) logV) and space complexity is O(V) where V is the number of vertices, moderate to high traversal efficiency, fair (efficient in weighted graphs) suitability for graph-based encryption, moderate structural simplicity, and (iv) Bellman-Ford Algorithm is O(V*E) time complexity and O(V) space complexity where V is the number of vertices and E is the number of edges, low traversal efficiency, limited (computationally expensive) suitability for graph-based encryption, moderate structural simplicity.…”This research paper investigates the efficiency of cryptographic algorithms within graph-based encryption models such as star graph, focusing on their computational performance and security robustness. In this study, we analyze the performance of RSA and ElGamal cryptographic algorithms by evaluatin...
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Ethical Considerations in Emotion Recognition Research
Published 2025-05-01“…The combination of emotional profiling with biased algorithmic interpretations of culturally diverse expressions and affective data collection without meaningful consent presents major ethical concerns. …”The deployment of emotion-recognition technologies expands across healthcare education and gaming sectors to improve human–computer interaction. These systems examine facial expressions together with vocal tone and physiological signals, which include pupil size and electroencephalogram (EEG), to de...
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Comprehensive review of dimensionality reduction algorithms: challenges, limitations, and innovative solutions
Published 2025-07-01“…We outline solutions such as intrinsic dimensionality estimation, robust neighborhood graphs, fairness-aware embeddings, scalable algorithms, and automated tuning. …”Dimensionality reduction (DR) simplifies complex data from genomics, imaging, sensors, and language into interpretable forms that support visualization, clustering, and modeling. Yet widely used methods like principal component analysis, t-distributed stochastic neighbor embedding, uniform manifold...
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Algorithms, principles and optimal timing of the introduction of adapted and specialized formulas for feeding infants
Published 2021-06-01“…By understanding the principles for administering formulas outlined in this article, it will be fairly easy for a pediatrician to extrapolate these principles to future formulas.…”Official instructions and recommendations for feeding infants often do not keep pace with the emergence of new names and varieties of adapted and special formulas. Breast milk is the optimal product for feeding children in the first months of life; it contains numerous stimulating factors that ensur...
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Performance of Machine Learning Algorithms on Imbalanced Sentiment Datasets Without Balancing Techniques
Published 2025-06-01“…Initial results show that all five algorithms performed fairly well even without using a balancing technique, with Naïve Bayes achieving the highest F1-score of 0.84 and recall of 0.81. …”This study explores the performance of five sentiment classification algorithms—Naïve Bayes, Logistic Regression, Support Vector Machine, Decision Tree, and Random Forest—on an imbalanced sentiment dataset, with the SMOTE technique applied as a comparison. The research follows the Knowledge Discover...
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Application of Simulated Annealing Algorithm in the Construction of Online Examination System for Tax Law Courses
Published 2025-01-01“…The increasing reliance on online examination systems in tax law education necessitates the development of intelligent frameworks that ensure fairness, syllabus coverage, and difficulty balance. …”The increasing reliance on online examination systems in tax law education necessitates the development of intelligent frameworks that ensure fairness, syllabus coverage, and difficulty balance. Traditional exam construction methods, such as manual question selection and heuristic approaches, often...
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Efficiency management of engineering projects based on particle swarm multi objective optimization algorithm
Published 2025-12-01“…In addition, in medical resource allocation, multi-objective particle swarm optimization algorithm can optimize the resource allocation plan, balancing fairness and efficiency. …”With the development of information technology, computer technology has been increasingly applied to management. This study aims to address problems such as low efficiency, high cost, and unstable quality in engineering project management. A research proposes an optimization method for engineering p...
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Dynamic Placement of Pinching Antennas for Multicast MU-MISO Downlinks
Published 2025-01-01“…For each problem, we develop a probability-learning algorithm within a cross-entropy optimization (CEO) framework, iteratively refining a parameterized sampling distribution via closed-form updates. …”Within the surface-wave communication paradigm, pinching-antenna systems employ dielectric waveguides as both transmission media and reconfigurable radiators, enabling dynamic antenna repositioning to mitigate path-loss limitations inherent in static arrays. This paper integrates pinching-antenna sy...
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The Game Theory Application in the Transport Flows Control Algorithm Development in the Intelligent Transport System
Published 2024-02-01“…At the same time, the issue of developing the traffic organization algorithms themselves is still open. This problem can be solved with the help of game theory, a fairly new but rapidly developing part of modern mathematics. …”Traffic management in modern intelligent transport systems includes monitoring the actual traffic situation in real time (volumes, speeds, incidents, etc.) and management or controlling transport traffic using this information. At the same time, cars as intelligent transport systems components must...
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Resource Allocation Algorithm for Sensing Video Transmission Over Cell-Free Radio Access Networks
Published 2025-01-01“…The proposed bandwidth allocation algorithm can be applied to multi-UAV scenarios for target tracking and video transmission.…”This paper proposes a communication-aware, game-theoretic bandwidth allocation strategy for multi-user visual data transmission over cell-free networks, addressing the joint optimization of resource efficiency and perceptual quality from the perspective of network operators. Unlike traditional video...
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