Resultados de búsqueda - optimization algorithm
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4681
AC-YOLO: A lightweight ship detection model for SAR images based on YOLO11.
Publicado 2025-01-01“…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”Synthetic Aperture Radar (SAR), renowned for its all-weather monitoring capability and high-resolution imaging characteristics, plays a pivotal role in ocean resource exploration, environmental surveillance, and maritime security. It has become a fundamental technological support in marine science r...
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4682
Digital Trends of Criminology and Criminal Justice of the 21st Century
Publicado 2023-03-01“…Objective: to define the key trends in the development of criminology and criminal justice under significant broadening of digitalization and using modern technologies.Methods: the priority of analytical method combined with descriptive method provided an optimal set of tools for searching and revealing the main digital trends in the development of criminology and criminal justice in the 21st century.Results: the growing dependence was revealed between criminal-legal science and digital technologies, which leads to the change in essence and types of contemporary criminality, models of criminals’ behavior, methods and mechanism of crime control and prevention in the light of requirements of criminal policy and justice. …”Objective: to define the key trends in the development of criminology and criminal justice under significant broadening of digitalization and using modern technologies.Methods: the priority of analytical method combined with descriptive method provided an optimal set of tools for searching and revea...
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4683
POLYPHARMACY IN MANAGMENT OF IN-PATIENTS WITH NOVEL CORONAVIRUS DISEASE (COVID-19)
Publicado 2022-07-01“…To identify polypharmacy cases and develop the ways to optimize pharmacotherapy of patients with COVID-19 hospitalized in infectious disease facilities.Materials and methods. …”The aim. To identify polypharmacy cases and develop the ways to optimize pharmacotherapy of patients with COVID-19 hospitalized in infectious disease facilities.Materials and methods. ATC/DDD analysis with calculation of DDDs/100 bed days and a sample analysis of 500 patients’ prescriptions were per...
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4684
Progress and current trends in prediction models for the occurrence and prognosis of cancer and cancer-related complications: a bibliometric and visualization analysis
Publicado 2025-07-01“…Emerging modeling techniques, such as neural networks and deep learning algorithms, are likely to play a pivotal role in current and future cancer-related prediction model research. …”ObjectivePrediction models, which estimate disease or outcome probabilities, are widely used in cancer research. This study aims to identify hotspots and future directions of cancer-related prediction models using bibliometrics.MethodsA comprehensive literature search was conducted in the Science Ci...
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4685
DETERMINATION OF THE BASIC PARAMETERS OF SENSOR DEVICES FOR THE IMPLEMENTATION OF PSYCHONEUROLOGICAL RESEARCH WITH THE INTRODUCTION OF MULTITOUCH TECHNOLOGY
Publicado 2020-03-01“…The scientific novelty and practical significance of the obtained results is the development of specialized software and algorithmic software for dynamic testing on sensory devices with the ability to video record the movements of the upper extremities in the mode "Rapid". …”The subject of the article is the testing process on multi-touch devices for the implementation of psychoneurological studies. The goal of the work is development specialized dynamic tests with the introduction of Multi-touch technology to detect carpal tunnel syndrome and hand dysfunction in the ea...
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4686
A comparative analysis of emotion recognition from EEG signals using temporal features and hyperparameter-tuned machine learning techniques
Publicado 2025-12-01“…These results emphasize the effectiveness of combining advanced feature extraction methods with boosting algorithms for EEG-based emotion recognition, offering promising directions for the development of real-world emotion-aware systems. …”Classifying emotions based on EEG signals is really important for enhancing our interactions with computers, monitoring mental health and creating applications in affective computing field. This study explores improving emotion recognition performance by applying traditional machine learning classif...
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4687
Using Geospatial Intelligence to Enhance Voting Access in Local Elections for People with Disabilities
Publicado 2025-07-01“…This study leverages geospatial intelligence to enhance voting accessibility by developing an algorithmic approach that helps individuals locate the nearest Accessible Polling Station (APS). …”Ensuring accessible elections for people with disabilities remains a significant challenge in democratic systems worldwide. This study leverages geospatial intelligence to enhance voting accessibility by developing an algorithmic approach that helps individuals locate the nearest Accessible Polling...
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4688
Magnitude Comparison and Sign Detection based on the 4-Moduli Set {2n+1, 2nâ1, 2n+3, 2nâ3}
Publicado 2024-02-01“…The 4-moduli set residue number system (RNS),{2n+1, 2nâ1, 2n+3, 2nâ3}, with a wide dynamic range, has recently been proposed as a balanced 4-moduli set for utilizing the cases that demand fast calculations such as deep learning and implementation of asymmetric cryptographic algorithms. Up to now, only an unsigned reverse converter has been designed for this moduli set. …”The 4-moduli set residue number system (RNS),{2n+1, 2nâ1, 2n+3, 2nâ3}, with a wide dynamic range, has recently been proposed as a balanced 4-moduli set for utilizing the cases that demand fast calculations such as deep learning and implementation of asymmetric cryptographic algorithms. Up to now, on...
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4689
Management of a Patient with Severe Hypotension and Advanced Heart Failure with Reduced Left Ventricular Ejection Fraction
Publicado 2022-03-01“…It is difficult to select and titrate the drugs recommended for treatment of heart failure, so that the prescribed therapy compensates the patient and does not cause the development of side effects. Step–by–step algorithms for prescribing and correcting drug therapy for heart failure patients with hypotension have been developed. …”Hypotension is often in chronic heart failure patients. It has various reasons, including a decrease in the pumping function of the heart, medications, altered vasoreactivity associated with concomitant diseases (for example, diabetes mellitus). There are no universal criteria for assessing the seve...
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4690
Assessment of drug-related migraine in a real-world large-scale database
Publicado 2025-07-01“…Further prospective studies are warranted to establish causal mechanisms and optimize therapeutic decision-making.…”BackgroundDrug-induced migraine represents a clinically significant yet under-investigated subtype of migraine. This study aims to evaluate the risk of drug-related migraine based on real-world data from the FDA Adverse Event Reporting System (FAERS).MethodsA retrospective pharmacovigilance analysis...
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4691
Artificial intelligence in personalized rehabilitation: current applications and a SWOT analysis
Publicado 2025-07-01“…High implementation costs, ethical concerns such as algorithmic bias, and risks of increasing healthcare disparities remain major barriers. …”Artificial intelligence (AI) is transforming personalized rehabilitation by introducing innovative methods to enhance care across diverse medical specialties. Despite its potential, widespread implementation remains limited, largely due to a lack of comprehensive analyses on its benefits and barrier...
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4692
Maize Threshing and Separating Device for Primary Seed Production
Publicado 2020-03-01“…(Materials and methods) The authors used system analysis methods, ensuring the principle of flow in mechanized lines, building algorithms for the automated systems operation and designing agricultural machines. …”The development of domestic primary maize seed production requires the development of new threshing devices capable to minimize seed grains macro- and microdamage. (Research purpose) To justify the design and technological parameters of the axial-rotary threshing and separating device for varietal a...
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4693
Harnessing AI and Quantum Computing for Revolutionizing Drug Discovery and Approval Processes: Case Example for Collagen Toxicity
Publicado 2025-07-01“…By generating computational data, predicting the efficacy of pharmaceuticals, and assessing their safety, AI and quantum computing can accelerate and optimize the process of identifying potential drug candidates. …”AbstractArtificial intelligence (AI) and quantum computing will change the course of new drug discovery and approval. By generating computational data, predicting the efficacy of pharmaceuticals, and assessing their safety, AI and quantum computing can accelerate and optimize the process...
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4694
Application of LiDAR and SLAM Technologies in Autonomous Systems for Precision Grapevine Pruning and Harvesting
Publicado 2025-01-01“…LiDAR produces detailed 3D vineyard maps that integrate with SLAM algorithms for accurate navigation, ensuring efficient local and global information relay. …”Integrating autonomous systems into precision agriculture brings new integrated management in vineyards for operational efficiency and accuracy. This project creates an autonomous system for grapevine pruning and harvesting using LiDAR, SLAM, RGB-D cameras, Convolutional Neural Networks (CNNs), prox...
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4695
Artificial Intelligence Technologies in Banking Innovation Management from the Perspective of Economic Security (on the example of China Construction Bank)
Publicado 2025-06-01“…The main results show that the systematic implementation of AI algorithms allowed the bank to significantly improve operational efficiency through real-time tracking of external environment changes, monitoring of financial indicators and forecasting of development scenarios. …”The relevance of the study is due to the increasing role of artificial intelligence (AI) in ensuring the economic security of the banking sector against the background of digital transformation and growing volatility of global financial markets. The analysis of the impact of AI-technologies on the v...
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4696
Cybersecurity of smart grids: Comparison of machine learning approaches training for anomaly detection
Publicado 2024-12-01“…The obtained research results indicate the advantages of using a combination of machine learning algorithms to ensure the reliable protection of smart networks from cyberattacks taking into account the nature of the electrical load.…”Objectives. The transformation of modern electric grids into decentralized smart grids presents new challenges in the field of cybersecurity. The purpose of this work is to conduct research and analysis into the effectiveness of different machine-learning methods for identifying anomalies in decentr...
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4697
Evaluating the Thermohydraulic Performance of Microchannel Gas Coolers: A Machine Learning Approach
Publicado 2025-06-01“…Furthermore, advanced machine learning algorithms such as extreme gradient boosting (XGB), random forest (RF), support vector regression (SVR), k-nearest neighbors (KNNs), and artificial neural networks (ANNs) were employed to analyze their predictive capability. …”In this study, a numerical model of a microchannel gas cooler was developed using a segment-by-segment approach for thermohydraulic performance evaluation. State-of-the-art heat transfer and pressure drop correlations were used to determine the air and refrigerant side heat transfer coefficients and...
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4698
Individualization and digitalization of creative development of students in chemistry lessons
Publicado 2022-05-01“…In the context of increasing robotization and digitalization of most of the routine and algorithmic types of human activity, the problem of the creative development of each child and the individualization of education in a public school, especially in the field of natural science education, arises.The aim. …”Background. In the context of increasing robotization and digitalization of most of the routine and algorithmic types of human activity, the problem of the creative development of each child and the individualization of education in a public school, especially in the field of natural science educati...
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4699
Digital technologies are the basis of digital economy of civil aviation airport refueling complexes
Publicado 2020-09-01“…As well as from the point of view of optimizing the solution of business process objectives the development of planning algorithms using the mathematical apparatus of fuzzy modeling and control, fuzzy sets and fuzzy logic underlying the intelligent modeling of processes is proposed. …”The article analyzes the main information automated control systems for refueling complexes, based on this analysis, the problems of the airport ground handling functioning are identified, the main of which are the inefficiency of managing stochastic processes that occur in failure situations, as we...
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4700
A patient with osteoarthritis at an outpatient appointment. Unresolved problems
Publicado 2021-11-01“…In this regard, there is an urgent need to revise and adapt to the routine outpatient practice of interdisciplinary algorithms for managing patients with osteoarthritis, with the determination of the intervention threshold of a primary care physician and a specialist physician. …”The purpose of the study was to identify the problems of diagnosis, interdisciplinary interaction and the causes of defects in the treatment of patients with osteoarthritis on an outpatient basis, as well as to assess the efficacy and safety of using the medicine from bioactive concentrate of small...
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