Kết quả tìm kiếm - optimization algorithm
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4741
Diagnostic models for sepsis-associated encephalopathy: a comprehensive systematic review and meta-analysis
Được phát hành 2025-07-01“…A total of 29 predictive models were developed, comprising 10 optimal models, primarily utilizing logistic regression or machine learning algorithms. …”ObjectiveTo systematically evaluate the performance and methodological rigor of published prediction models for sepsis-associated encephalopathy (SAE), identify their limitations, and provide guidance for the future development of robust and clinically applicable models.MethodsWe conducted a systema...
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4742
Lightweight Brain Tumor Segmentation Through Wavelet-Guided Iterative Axial Factorization Attention
Được phát hành 2025-06-01“…Conclusions: This study underscores the advantages of integrating frequency-domain analysis with optimized attention mechanisms, paving the way for scalable, high-performance medical image segmentation algorithms with broader clinical diagnostic applications.…”Background/Objectives: The accurate and efficient segmentation of brain tumors from 3D MRI data remains a significant challenge in medical imaging. Conventional deep learning methods, such as convolutional neural networks and transformer-based models, frequently introduce significant computational o...
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4743
Urban Resilience and Energy Demand in Tropical Climates: A Functional Zoning Approach for Emerging Cities
Được phát hành 2025-06-01“…The system’s capacity to adjust and optimize power distribution would be strengthened provided the algorithms were given the freedom to react dynamically to changes or disruptions brought about by distributed generation sources.…”The management of power supply and distribution is becoming increasingly challenging because of the significant increase in energy demand brought on by global population growth. Buildings are estimated to be accountable for 40% of the worldwide use of energy, which underlines how important accurate...
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4744
Opportunities and Challenges of Brain-on-a-Chip Interfaces
Được phát hành 2025-01-01“…Furthermore, the evolution of BoCI systems depends on a range of stimulation strategies and novel decoding algorithms, including artificial-intelligence-driven methods, which has expanded BoCI applications to pattern recognition and robotic control. …”The convergence of life sciences and information technology is driving a new wave of scientific and technological innovation, with brain-on-a-chip interfaces (BoCIs) emerging as a prominent area of focus in the brain–computer interface field. BoCIs aim to create an interactive bridge between lab-gro...
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4745
Scientific Research in Substantiating Management, Planning, and Standardization as Factors in the Growth of the Production Potential of Agribusiness
Được phát hành 2025-04-01“…The practical significance of the research lies in providing generalized methodological approaches for agrarian enterprises aimed at increasing productivity, optimizing costs, improving logistics, and entering new markets. …”The aim of the article is to substantiate management methodologies for agribusiness through effective planning and to identify mechanisms for increasing the export potential of Ukrainian agrarian products by analyzing management models and planning tools. The objective of the research is to substant...
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4746
Predicting anemia management in dialysis patients using open-source machine learning libraries
Được phát hành 2025-06-01“…Machine learning (ML) has shown potential in optimizing anemia management by predicting Hb levels and reducing ESA usage, though clinical implementation remains limited. …”Abstract Background Managing anemia in patients with end-stage kidney disease (ESKD) undergoing hemodialysis (HD) is a major clinical challenge. It requires precise hemoglobin (Hb) control while minimizing erythropoiesis-stimulating agent (ESA) dosages to reduce cost and side effects. Despite recent...
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4747
Enhancing Reliability in Redundant Homogeneous Sensor Arrays with Self-X and Multidimensional Mapping
Được phát hành 2025-06-01“…This demonstrates the concrete benefit of sensor redundancy and DR algorithms for creating robust, fault-tolerant measurement systems.…”Mechanical defects and sensor failures can substantially undermine the reliability of low-cost sensors, especially in applications where measurement inaccuracies or malfunctions may lead to critical outcomes, including system control disruptions, emergency scenarios, or safety hazards. To overcome t...
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4748
Formation of a Credible Methodological Framework for Epidemiological Forecasting of the Incidence of Hemorrhagic Fever with Renal Syndrome Using Machine Learning Techniques
Được phát hành 2024-10-01“…It is shown that the use of neural network algorithms allows to obtain a forecast of the possible development of the epidemiological situation on HFRS in the future with a probability of 98.8 %, which will ensure a qualitative transition from expert forecasting to independent analysis of epidemiological trends, significantly increasing the information capacities and importance of forecasting when planning and conducting preventive measures by the efforts of Rospotrebnadzor institutions.…”The high medical and social significance of hemorrhagic fever with renal syndrome (HFRS) in Russia is a valid argument in favor of developing qualitatively new approaches to predicting epidemiological complications. The complex nature of interaction of factors determining the intensity of epidemic m...
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4749
Let’s Go Bananas: Beyond Bounding Box Representations for Fisheye Camera-Based Object Detection in Autonomous Driving
Được phát hành 2025-06-01“…Object detection is a mature problem in autonomous driving, with pedestrian detection being one of the first commercially deployed algorithms. It has been extensively studied in the literature. …”Object detection is a mature problem in autonomous driving, with pedestrian detection being one of the first commercially deployed algorithms. It has been extensively studied in the literature. However, object detection is relatively less explored for fisheye cameras used for surround-view near-fiel...
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4750
Real-Time Cloth Simulation in Extended Reality: Comparative Study Between Unity Cloth Model and Position-Based Dynamics Model with GPU
Được phát hành 2025-06-01“…To overcome the limitations of traditional CPU-based physics simulations, we designed and optimized highly parallelized algorithms utilizing Unity’s Compute Shader framework. …”This study proposes a GPU-accelerated Position-Based Dynamics (PBD) system for realistic and interactive cloth simulation in Extended Reality (XR) environments, and comprehensively evaluates its performance and functional capabilities on standalone XR devices, such as the Meta Quest 3. To overcome t...
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4751
Theory of an Automatic Seepage Meter and Ramifications for Applications
Được phát hành 2023-10-01“…For example, our analysis determines the timing of the nonmonotonic ASM response to a monotonic linear stream stage variation and explains previously used empirical parabolic approximation for estimating fluxes. We present algorithms for simultaneous inference of vertical interface flux and hydraulic conductivity values together with an example code. …”Abstract A new approach for measuring fluxes across surface water—groundwater interfaces was recently proposed. The Automatic Seepage Meter (ASM) is equipped with a precise water level sensor and digital memory that analyzes water level time series in a vertical tube inserted into a streambed (Solom...
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4752
Transforming nano grids to smart grid 3.0: AI, digital twins, blockchain, and the metaverse revolutionizing the energy ecosystem
Được phát hành 2025-09-01“…This study systematically analyzes the application of advanced algorithms and technologies across all hierarchical subsystems—nanogrid 3.0, microgrid 3.0, VPP 3.0, and Smart Grid 3.0. …”This review explores the transformative architecture of Smart Grid 3.0 by integrating cutting-edge technologies. It presents novel architectural frameworks to transform nanogrid, microgrid, and VPP topologies to their Grid 3.0 counterparts. This study systematically analyzes the application of advan...
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4753
The relationship between the CYP2C19*17 genetic polymorphism and the efficacy and safety of diazepam in patients with alcohol withdrawal syndrome
Được phát hành 2020-01-01“…The aim of our study was to study the relationship between the CYP2C19 genetic polymorphism and the efficacy and safety of diazepam in patients with alcohol withdrawal syndrome in order to develop algorithms for optimizing the therapy of diazepam to reduce the risk of dose-dependent adverse drug reactions and pharmacoresistance.Materials and methods. …”The aim of our study was to study the relationship between the CYP2C19 genetic polymorphism and the efficacy and safety of diazepam in patients with alcohol withdrawal syndrome in order to develop algorithms for optimizing the therapy of diazepam to reduce the risk of dose-dependent adverse drug rea...
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4754
AI-driven approaches in the management of early childhood caries: A path toward global oral health
Được phát hành 2025-09-01“…Brief summary: AI models leveraging dental radiographs and intraoral photographs have demonstrated high accuracy in caries detection, while predictive algorithms facilitate the identification of high-risk groups using patient demographics, behavioural data, and even genetic markers. …”Background: The integration of Artificial Intelligence (AI) with paediatric dentistry has unveiled transformative possibilities, particularly in mitigating the global burden of a prevalent yet preventable oral health issue, namely early childhood caries (ECC). ECC affects millions of children worldw...
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4755
An Overview on Computer Vision Analysis in the Airport Applications
Được phát hành 2025-01-01“…The analysis also examines precise aircraft detection to optimize ground operations, real-time runway surveillance to ensure safe takeoffs and landings, and advanced passenger monitoring systems that improve security by identifying potential threats. …”This research serves a dual purpose: it aims to map the current landscape of knowledge in a field rich with technological challenges while simultaneously showcasing innovative techniques that demonstrate the transformative power of computer vision in airport applications. To achieve this, the study...
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4756
Revolutionizing Diabetes Management Through Nanotechnology-Driven Smart Systems
Được phát hành 2025-06-01“…The integration of artificial intelligence (AI) with nanotechnology marks a new frontier in personalised care. AI algorithms can analyse individual patient data to adjust insulin doses and predict glucose fluctuations, paving the way for more responsive, customised treatment plans. …”Diabetes is a global health challenge, and while current treatments offer relief, they often fall short in achieving optimal control and long-term outcomes. Nanotechnology offers a groundbreaking approach to diabetes management by leveraging materials at the nanoscale to improve drug delivery, gluco...
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4757
Future of Alzheimer's detection: Advancing diagnostic accuracy through the integration of qEEG and artificial intelligence
Được phát hành 2025-08-01“…Through systematic analysis of 11 key studies across multiple international databases, we evaluated various AI architectures, including machine learning algorithms and deep learning networks, applied to qEEG data for AD detection. …”This comprehensive review examines the integration of Quantitative Electroencephalography (qEEG) and Artificial Intelligence (AI) in the detection and diagnosis of Alzheimer's Disease (AD). Through systematic analysis of 11 key studies across multiple international databases, we evaluated vario...
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4758
Assessing the temporal transferability of machine learning models for predicting processing pea yield and quality using Sentinel-2 and ERA5-land data
Được phát hành 2025-12-01“…This study aims to rigorously quantify this temporal transferability gap for both pea yield and TR prediction. Four ML algorithms (RF, XGBoost, GPR, SVMr) were evaluated using Sentinel-2 and ERA5-Land data from 2018 to 2024 in northern Italy. …”Accurate pre-harvest prediction of yield and quality (tenderometric reading, TR) is crucial for the processing pea industry due to a narrow optimal harvest window. Machine learning (ML) models offer potential, but their real-world utility depends on their performance stability across different years...
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4759
Context guided transformer enhanced YOLOv8 for accurate juvenile abalone detection and counting
Được phát hành 2025-12-01“…However, due to the small size, dense distribution, and frequent occlusion among individuals during the rearing period, existing detection algorithms often demonstrate low precision in identifying abalones. …”The accurate detection and counting of juvenile abalones are essential for estimating population biomass and culture density in aquaculture. However, due to the small size, dense distribution, and frequent occlusion among individuals during the rearing period, existing detection algorithms often dem...
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4760
A comprehensive review of data analytics and storage methods in geothermal energy operations
Được phát hành 2025-09-01“…The development of reliable and affordable sensors, together with improvements in processing power, has made data-intensive algorithms and real-time operational decision-making applications in the field of geothermal energy. …”Geothermal energy storage (GES) systems are thoroughly examined in this research, with a focus on methods like borehole thermal energy storage (BTES), underground thermal energy storage (UTES), and aquifer thermal energy storage (ATES). It highlights the importance of thermal energy storage (TES) sy...
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