Search Results - Algorithmic fairness
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Predictive Modeling of Credit Card Rejection Using Machine Learning Algorithms: A Comparative Study
Published 2025-06-01“…The investigation also involves optimization methodologies such as Pelican Optimization Algorithm (POA), Coot Optimization Algorithm (COA), and Chimp Optimization Algorithm (CHOA). …”Credit cards, from a social standpoint, act as a catalyst for financial inclusion by providing credit to those who may not have significant resources or tangible assets. This inclusion is especially important for guaranteeing fair involvement in economic activity. Credit cards simplify online transa...
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Medical Ethics-based Intensive Care Unit Admission Evaluation Using Fuzzy Logic for COVID-19-like Pandemic
Published 2025-06-01“…Results: The ranking score of fair admission is verified by the experts’ decisions. …”Objective: In this study, a novel fuzzy logic model for intensive care unit (ICU) admission was developed by including not only the medical patient information but also medical ethics to aid in decision-making during pandemic respiratory infectious conditions such as Coronavirus disease-2019 to fill...
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Machine Learning Applications in Use-Wear Analysis: A Critical Review
Published 2025-06-01Get full textUse-wear analysis examines the macroscopic and microscopic patterns of traces left on tool surfaces as a result of use. Recently, machine learning (ML) has been employed as a promising method for automating and standardizing the identification of these traces. While the number of use-wear analysts u...
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Artificial Intelligence Impact on the Environment: Hidden Ecological Costs and Ethical-Legal Issues
Published 2023-12-01“…The findings emphasize the importance of implementing energy efficient algorithms, switching to renewable energy sources, adopting responsible e-waste management practices, ensuring fairness in AI decision-making and taking into account ethical considerations and rules of its implementation.…”Objective: to identify the hidden ecological costs associated with the elaboration, implementation and development of artificial intelligence technologies, in order to ensure its sustainable and harmonious integration with various economic sectors by identifying optimal moral-ethical and political-l...
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Agreement Between Medico-Administrative Database Algorithms and Survey-Based Diagnoses for Depression and Anxiety in Older Adults
Published 2025-06-01“…<b>Results</b>: Agreements between the algorithms and the interviews were fair (κ: 0.06–0.22) for depression gooand slight (κ: 0.02–0.09) for anxiety. …”<b>Objectives</b>: This study aimed to assess the concordance between depression and anxiety case definitions derived from algorithms based on medico-administrative data and structured interviews aligned with the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders...
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STUDY OF GRAIN DRYING IN THE AUTOMATED GRAIN DRYING UNIT
Published 2018-09-01Get full textMine and column grain dryers are a fairly complex object of control in the production line. The process of grain drying is characterized by a large number of parameters, quantitatively and qualitatively characterizing the dryer operation. First of all, this includes the criteria of maximum performa...
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Ethical and regulatory challenges in machine learning-based healthcare systems: A review of implementation barriers and future directions
Published 2025-03-01“…Key issues concern patient data privacy, algorithmic bias, absence of transparency, and ambiguous legal liability. …”Machine learning significantly enhances clinical decision-making quality, directly impacting patient care with early diagnosis, personalized treatment, and predictive analytics. Nonetheless, the increasing proliferation of such ML applications in practice raises potential ethical and regulatory obs...
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Edge-LLM Inference With Cost-Aware Layer Allocation and Adaptive Scheduling
Published 2025-01-01“…We propose two mechanisms: the Fair Cost-Efficient Incentive Mechanism (FCIM) for task and layer assignment, and the Adaptive Dynamic Scheduling Algorithm (ADSA) for execution scheduling on individual devices. …”This paper addresses two key challenges in distributed Large Language Model (LLM) inference at the edge: 1) cost-efficient and fair task allocation, and 2) dynamic scheduling under deadline constraints. We propose two mechanisms: the Fair Cost-Efficient Incentive Mechanism (FCIM) for task and layer...
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A Thorough Comparative Analysis of PI and Sliding Mode Controllers in Permanent Magnet Synchronous Motor Drive Based on Optimization Algorithms
Published 2019-12-01“…This paper attempts to fill in this gap, by providing a fair and in-depth comparison of the PMSM drive operation by using PI and sliding mode speed controllers. …”In this paper, the speed tracking for permanent magnet synchronous motor (PMSM) in field oriented control (FOC) method is investigated using linear proportional-integral (PI) controller, sliding mode controller (SMC) and its advanced counterparts. The advanced SMCs considered in this paper are fuzzy...
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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
Published 2025-06-01“…In addition, previous deep learning algorithms for ice crystal classification are often trained and evaluated on datasets with varying sizes and classification schemes, each with distinct criteria and a different number of categories, making it difficult to make a fair comparison of algorithm performance. …”<p>The shapes of ice crystals play an important role in global precipitation formation and the radiation budget. Classifying ice crystal shapes can improve our understanding of in-cloud conditions and these processes. Existing classification methods rely on features such as the aspect ratio of...
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Algorithm for alerting the unmanned aerial vehicle operator based on the image potential obstacle borders detection on the flight trajectory using the OPEN CV library
Published 2019-02-01“…Then the conclusion is made about necessity of development of algorithm and software, which can help the operator of the UAV in deciding on necessary trajectory changes of UAV, since, for example, guided solely by the method image of the terrain or another similar method in the planning of the UAV trajectory as preliminary preparation for the flight, however, such methods are fairly static and are not suitable in such situations as, for example, detection of unexpected obstacles. …”The article describes several modifications of the obstacle detection algorithm on the flight trajectory of an unmanned aerial vehicle (UAV). First, we give an illustration of the problems on the example of the relief image on topographic maps and the essence of the relief image by horizontal contou...
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Ethical Dilemmas and Coping Strategies in the Use of Psychological Scales in the Era of Big Data
Published 2025-04-01“…In response, five strategies are proposed: establishing a comprehensive data lifecycle protection mechanism, innovating informed consent models, optimizing algorithm fairness assessments, constructing diverse datasets, and empowering vulnerable groups. …”Focusing on the ethical risks arising from the reconstruction of psychological scales due to innovations in big data technology, a systematic analysis is conducted on the research and current use of psychological scales within the context of big data. Ethical issues are explored across five dimensio...
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Multistage optimization of a non-institutional investor’s assents portfolio
Published 2020-01-01“…The article deals with the statement, mathematical model and features of numerical algorithm of solving the dynamic discrete task for optimization of financial assets portfolio of a non-institutional investor. …”The article deals with the statement, mathematical model and features of numerical algorithm of solving the dynamic discrete task for optimization of financial assets portfolio of a non-institutional investor. Structure and element content of the model are substantiated including optimality and limi...
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DISTRIBUTION OF ADDITIONAL COST AND PROFIT AS THE DECISION-MAKING FACTOR FOR THE INVESTMENT PROJECT
Published 2017-10-01Get full textThe article offers original approach to evaluation of an investment project from point of forming the final price of a product created in result of the project. Value-added is formed on one side by each participant of the product creation process and on the other side belonging to some of the produc...
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WFQ ENHANCEMENT USING INTELLIGENT DISTRIBUTED QUEUE BASED ANFIS FOR PACKET SWITCHING NETWORK
Published 2019-06-01“…Current swap scheduling mechanisms are characterized by three main characteristics: fairness, complexity, and protection. Therefore, the question remains how we can provide equity and protection with less complex implementation. …”The proliferation of the Internet and its applications has led to a potential increase in users' requests for more services at economical prices and Quality of service. The diversity of Internet traffic requires some prioritization and prioritization because some visits deserve great attention...
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Tomographic task solution using a dichotomous discretization scheme in polar coordinates and partial system matrices invariant to rotations
Published 2024-08-01“…The purpose of this work was to create an effective iterative algorithm for the tomographic reconstruction of objects with large volumes of initial data. …”Objectives. The purpose of this work was to create an effective iterative algorithm for the tomographic reconstruction of objects with large volumes of initial data. Unlike the convolutional projection algorithm, widely used in commercial industrial and medical tomographic devices, algebraic iterati...
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Team Recruitment of Collaborative Crowdsensing: A Graph-Based Approach
Published 2025-01-01“…Furthermore, an enhanced Prim algorithm is utilized to select efficient users. To address the issue of recruiting new users lacking prior knowledge, an improved UCB algorithm is introduced on top of the proposed team recruitment mechanism. …”Collaborative crowdsensing is a teamwork approach that leverages the collective intelligence of participants. Unlike traditional crowdsensing user recruitment, collaborative crowdsensing not only considers users’ intrinsic abilities (sensing ability, reliability) but also places a greater...
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Analysis of the existing approaches to in-flight aircraft rerouting
Published 2023-06-01“…The lack of comprehensive situational awareness is fairly a frequent cause of aviation accidents for general aviation aircraft. …”Currently, the large number of aircraft accidents is associated with the loss of control in flight and a controlled flight into terrain. It frequently occurs due to a change of flight conditions, relatively which a preparation for departure was carried out, and involves the necessity to reroute effi...
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An Implementation of Interactive Application for the Synthesis of Communication Systems with Antenna Arrays
Published 2020-04-01“…To accelerate the calculation of radiation patterns, the antenna array pattern in a form suitable for the fast Fourier transform algorithm was used. To find the required amplitude-phase distributions, Kotelnikov series expansion and genetic algorithm were used.Results. …”Introduction. Modern radar and communications systems contain phased array antennas. One of the synthesis problems of such systems is the formulation of requirements for components, modules and units which are comprised in it. To solve this problem, one needs to build a coverage area and to analyze...
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A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in M...
Published 2025-06-01“…The LSTM–WQI outcomes signified that 42.11% of tested locations are categorized under excellent, 15.79% of the examined sites are categorized as good, and rest, 10.53% and 31.58% corresponds to fair and marginal water category. This model shows organic contaminants, leaching from the soil, and commercial sites for waste disposal. …”Abstract The concerns about water contaminants affect most developing countries bypassing rivers over them. The issue is challenging to introduce water quality within the allowed limits for drinking, industrial and agricultural purposes. To tackle this issue, we developed a new tool that harnesses o...
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