Zoekresultaten - optimization algorithm
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4781
Mathematical model for prediction of Tuberculosis in Nigeria using hybrid fractional differential equations and artificial neural network methods
Gepubliceerd in 2025-06-01“…Training of the NN involves minimizing a loss function combining data fit and system constraints, optimized using the Adam and L-BFGS algorithms, achieving a high degree of accuracy with an MSE of 6.005×10−6. …”In this paper, we developed a hybrid Fractional Order Differential Equation (FODE) and Artificial Neural Network (ANN) Model to study the transmission dynamics of Tuberculosis (TB) in Nigeria. The data used for the analysis were obtained from the TB report by the World Health Organisation (WHO) TB D...
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4782
Sex differences in alcohol use patterns and related harms: A mixed-methods, cross-sectional study of men and women in northern Tanzania.
Gepubliceerd in 2024-01-01“…Differences in scores by sex were assessed using unpaired t-tests. K-means algorithms were run independently in both samples. Deductive thematic analysis was conducted on FGDs with community members, injury patients, and injury patient relatives. …”In northern Tanzania, alcohol use disorders (AUD) are under-diagnosed and under-treated, and current services are mostly limited to men in clinical settings despite significant alcohol-related harm in the community. The study objective was to identify sex differences in alcohol use and alcohol-relat...
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4783
Duck Egg Crack Detection Using an Adaptive CNN Ensemble with Multi-Light Channels and Image Processing
Gepubliceerd in 2025-07-01“…In current practice, human inspectors use standard white light for crack detection, and many researchers have focused primarily on improving detection algorithms without addressing lighting limitations. …”Duck egg quality classification is critical in farms, hatcheries, and salted egg processing plants, where cracked eggs must be identified before further processing or distribution. However, duck eggs present a unique challenge due to their white eggshells, which make cracks difficult to detect visua...
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4784
Therapeutic and Diagnostic Tactics for Metastases to the Lymph Nodes of the Neck without an Identified Primary Focus
Gepubliceerd in 2024-10-01“…Prospective multicenter studies are required to improve and optimize the algorithms for diagnosis and treatment of these patients.…”Introduction. Metastatic squamous cell carcinoma from an unknown primary focus accounts for less than 5 % of malignant tumors in the head and neck. Improving the methods of diagnosis can reduce the incidence of this pathology. Materials and methods. A retrospective analysis of the results of diagnos...
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4785
Post-Quantum Cryptography Resilience in Telehealth Using Quantum Key Distribution
Gepubliceerd in 2025-05-01“…Methods A multi-layered design approach was adopted. PQC algorithms (e.g., CRYSTALS-Dilithium) were integrated at the blockchain consensus layer to resist quantum attacks. …”Context The study proposes and evaluates a novel cybersecurity architecture for telehealth, resilient against future quantum computing cyber threats. By integrating Post-Quantum Cryptography (PQC) with Quantum Key Distribution (QKD) and privacy-preserving mechanisms, data confidentiality and immutab...
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4786
Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data
Gepubliceerd in 2025-07-01“…A three-stage serial consensus approach feature selection framework (LASSO, Elastic Net, and Boruta) was employed to identify 21 robust predictors from 74 candidate variables. Ten ML algorithms were evaluated: LR, HistGBM, MLP, XGBoost, bagging, DT, LightGBM, RF, SVM, and CatBoost. …”BackgroundThe advancement of artificial intelligence technologies has opened new avenues for depression prevention and management in older adults with disability (defined by basic or instrumental activities of daily living, BADL/IADL). This study systematically developed machine learning (ML) models...
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4787
Analyzing Post-fire Vegetation Dynamics with Ultra-high Resolution Remote Sensing Data
Gepubliceerd in 2025-07-01“…Co-alignment was applied to multi-temporal UAV datasets, and tree segmentation was performed using the algorithms developed for Airborne Laser Scanning (ASL) forest point clouds. …”Monitoring post-fire vegetation dynamics is essential for understanding forest recovery processes and informing management strategies. UAV-based ultra-high resolution multi-temporal imagery, combined with the Structure-from-Motion andMulti-View Stereo (SfM-MVS) workflow, provides a cost-effective an...
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4788
Spatiotemporal Monitoring of Cyanobacterial Blooms and Aquatic Vegetation in Jiangsu Province Using AI Earth Platform and Sentinel-2 MSI Data (2019–2024)
Gepubliceerd in 2025-07-01“…Here, we present an automated monitoring system optimized for small- and medium-sized lakes. This system integrates phenology-based algorithms with Sentinel-2 MSI imagery, leveraging the AI Earth (AIE) platform developed by Alibaba DAMO Academy. …”Cyanobacterial blooms and aquatic vegetation dynamics are critical indicators of freshwater ecosystem health, increasingly shaped by climate change, nutrient enrichment, and ecological restoration efforts. Here, we present an automated monitoring system optimized for small- and medium-sized lakes. T...
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4789
Statistical analysis of the migration situation and the factors affecting the Russian demographic expansion
Gepubliceerd in 2016-12-01“…It is obvious that their rationale is impossible without complex statistical studies that urgently require a systematic improvement of applied analysis algorithms associated with a comprehensive quantitative assessment of the characteristics and outcomes of territorial displacement of people. …”The article is devoted to actual factors influencing the demographic expansion processes. The purpose of the study is to examine the characteristics and problems quantify the factors in the formation of migration flows in modern Russia. Migration has always existed, but over the past two centuries,...
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4790
A Precise Detection Method for Tomato Fruit Ripeness and Picking Points in Complex Environments
Gepubliceerd in 2025-05-01“…YOLO-TMPPD is structurally improved and algorithmically optimized based on the YOLOv8 baseline architecture. …”Accurate identification of tomato ripeness and precise detection of picking points is the key to realizing automated picking. Aiming at the problems faced in practical applications, such as low accuracy of tomato ripeness and picking points detection in complex greenhouse environments, which leads t...
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4791
A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI
Gepubliceerd in 2025-01-01“…After handling missing values, balancing the dataset, and analyzing the classifier’s performance, it is found that tree-based algorithms, particularly RF, perform better for all the datasets. …”Autism Spectrum Disorder (ASD) is a genetic and neurological condition that leads to difficulties in communication and social interaction. The global concern associated with ASD diagnosis is increasing at a rapid rate due to its significant impact on quality of life. Early identification of ASD can...
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4792
Peculiarities of dynamic evaluation of globular formation outlines of the lungs with multislice computed tomography
Gepubliceerd in 2017-07-01“…To develop a methodology for assessing the GFL outlines of the dynamics of multislice computed tomography (MSCT) by selecting the optimal image processing algorithms.Materials and methods. …”Background. Visualization of infiltration in lung tissue surrounding the globular formation of the lungs (GFL) determined by X-ray is one of the important points in the differential diagnosis of primary lung cancer, specific and non-specific inflammatory processes. At CT gauge body phantoms test fac...
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4793
Explainable machine learning for predicting distant metastases in renal cell carcinoma patients: a population-based retrospective study
Gepubliceerd in 2025-07-01“…Hyperparameters were optimized using grid search and tenfold cross-validation. …”BackgroundDistant metastasis is a key factor contributing to poor prognosis in renal cell carcinoma (RCC). Early prediction of metastasis is crucial for developing personalized treatment plans and improving patient outcomes. This study aimed to establish and validate a clinical prediction model for...
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4794
人工智能融合临床与多组学数据在卒中防治及医药研发中的应用与挑战Applications and Challenges of Integrating Artificial Intelligence with Clinical and Multi-omics Data in Stroke Prevention, Treatment, and Pharmaceut...
Gepubliceerd in 2025-06-01“…However, critical challenges, such as insufficient multi-omics resources, difficulties in multi modal data integration, and limited interpretability of algorithms, remain major bottlenecks in clinical translation. …”卒中是全球致死致残的首要病因。基于人工智能（artificial intelligence，AI）融合临床与多组学数据的研究范式，为卒中精准防治提供了新方案。AI技术通过整合分析临床与多组学数据，能够提升卒中高危人群识别能力，优化早期诊断与风险评估，实现卒中亚型的精准分型，同时可筛选潜在药物靶点，构建预后预测模型。然而，卒中多组学资源相对匮乏、多模态数据融合困难，以及算法可解释性不足等仍是临床转化的主要瓶颈。本文对AI融合临床与多组学数据在卒中防治及医药研发中的应用与挑战等研究进展进行综述。Abstract: Stroke is the leading global cause of dea...
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4795
Management and outcome of whole-spine epidural abscesses – institutional case series and systematic review
Gepubliceerd in 2025-01-01“…Research question: What are the optimal management strategies for WSEAs based on current evidence? …”Background: Whole-spine epidural abscesses (WSEAs) are rare infections with potentially devastating neurological sequelae. As common treatment guidelines remain absent, this study aims to describe the management and resulting outcomes of WSEAs through an institutional case series and systematic lite...
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4796
Parameterised analysis of blade profiles within electric submersible pump for enhancing energy conversion efficiency
Gepubliceerd in 2025-12-01“…Furthermore, it establishes a foundation for integrating Bézier curve with advanced CFD-based optimisation algorithms, which could significantly enhance the effectiveness and efficiency of rotating machinery design in future research.…”Electric submersible pumps (ESPs) are critical to the global energy sector, particularly in oil and gas production, where they are used to lift production fluids from deep reservoirs. A major challenge in ESP design is that the multi-stage series structure promotes the propagation and interaction of...
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4797
Analysis of the use of artificial intelligence systems for the development of physical exercise programs during rehabilitation of nephrology patients
Gepubliceerd in 2025-06-01“…The global healthcare industry is one of the main planes for practical application of modern developments in the field of AI thanks to machine learning algorithms that provide new opportunities for solving the most complex problems of medicine and pharmacy. …”Background. Artificial intelligence (AI) is a direction of mathematical computer modeling based on the abstract essence of mathematical thinking. Chronic kidney disease (CKD) is a nosological unit, its final stage (end-stage renal disease) has seen an exponential increase over the past decade and is...
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4798
A study on the risk prediction model for venous thromboembolism in orthopedic inpatients based on machine learning
Gepubliceerd in 2025-06-01“…Feature analysis and data mining were conducted, and eight different machine learning algorithms were used to build the prediction model. …”ObjectiveTo construct a venous thromboembolism (VTE) risk prediction model for orthopedic inpatients using machine learning modeling techniques, identify high-risk patients, and optimize clinical interventions.MethodsThis study involved a retrospective analysis of 286 orthopedic inpatients from Nanx...
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4799
Land Surface Condition-Driven Emissivity Variation and Its Impact on Diurnal Land Surface Temperature Retrieval Uncertainty
Gepubliceerd in 2025-07-01“…These findings deepen the understanding of LSE characteristics and provide a scientific basis for refining LST/LSE separation algorithms in thermal infrared remote sensing and for optimizing LSE parameterization schemes in land surface process models for climate and hydrological simulations.…”Land surface emissivity (LSE) is the most critical factor affecting land surface temperature (LST) retrieval. Understanding its variation characteristics is essential, as this knowledge provides fundamental prior constraints for the LST retrieval process. This study utilizes thermal infrared emissiv...
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4800
THE RESULTS OF MYOCARDIAL REVASCULARIZATION IN NON-ST-ELEVATION ACUTE CORONARY SYNDROME PATIENTS AND MULTIVESSEL DISEASE
Gepubliceerd in 2017-04-01“…The development needed, of algorithms of optimal strategy of revascularization in NSTEACS, with MD, based upon objective criteria, and meaning the higher rate of CBG approach fulfilling the most complete revascularization.…”Aim. To evaluate in-hospital and long-term outcomes of treatment in non-ST-elevation acute coronary syndrome (NSTEACS) according to the revascularization strategy.Material and methods. In the study under the framework of singlecenter registry, in 2012-2015, 400 patients included, with NSTEACS and mu...
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