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AHA: Design and Evaluation of Compute-Intensive Hardware Accelerators for AMD-Xilinx Zynq SoCs Using HLS IP Flow
Published 2025-05-01“…We outline criteria for selecting algorithms to improve speed and resource efficiency in HLS design. …”
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1202
MAB-Based Online Client Scheduling for Decentralized Federated Learning in the IoT
Published 2025-04-01Get full text
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1203
A Multi-Strategy Active Learning Framework for Enhanced Peripheral Blood Cell Image Detection
Published 2025-01-01“…The framework reduces annotation costs and improves detection performance by combining uncertainty-based selection, diversity querying, and density-based querying to prioritize the most informative and diverse samples. …”
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1204
Method of Diagnostics of Operation Modes of Individual Heat Supply Units, Allowing to Detect Pre-Emergency Situations at an Early Stage
Published 2024-11-01“…This was confirmed by the "Elbow Method", which determined the optimal number, which made it possible to significantly improve the forecasting of emergency modes. …”
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A Machine Learning Approach to Analyze Manpower Sleep Disorder
Published 2024-01-01“…Moreover, a combination of machine learning and metaheuristic algorithms such as eXtreme Gradient Boosting and particle swarm optimization are used to make an accurate predictive model. …”
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1207
Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection
Published 2024-12-01“…However, many computing devices that claim high computational power still struggle to execute neural network algorithms with optimal efficiency, low latency, and minimal power consumption. …”
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Errors in the diagnosis of types of diabetes mellitus: causes and prevention strategies (literature review and own research results)
Published 2024-06-01“…This is due to the increasing heterogeneity of DM, blurring of the boundaries between its types, atypical disease course, the decreased diagnostic value of the essential criteria for DM types (age, presence of metabolic syndrome signs, ketosis, dependency on insulin therapy), presence of comorbid conditions, and limited availability of diagnostic tests to specify the type of diabetes. To optimize diagnosis and prevent diagnostic errors, we have developed a Telegram bot DiaType based on a multilevel algorithm for the differential diagnosis of various types of DM. …”
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1210
A comprehensive techno-economic analysis for a PHEV-integrated microgrid system involving wind uncertainty and diverse demand side management policies
Published 2025-06-01“…The research investigation employed the Differential Evolution (DE) algorithm as an optimization technique. Numerical results show that the total operating cost (TOC) of the MG system reduced from $25,575 during the base load model to $24,521 when the proposed hybrid DSM was implemented. …”
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1211
A Feedback-Assisted Inverse Neural Network Controller for Cart-Mounted Inverted Pendulum
Published 2025-01-01“…Further, we have used a bio-inspired optimization algorithm, that is, particle swarm optimization (PSO), to optimize the initial weights of the INN along with the PID controller’s parameters to get an optimal control performance. …”
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1212
Lymph Node Assessment in Endometrial Cancer: Towards Personalized Medicine
Published 2013-01-01“…Finally, the use of peroperative algorithm for risk determination could improve patient's staging with a reduction of lymphadenectomy-related morbidity.…”
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1213
Current project of management guidelines of the patients with nosocomial pneumonia in adults
Published 2017-07-01“…The quick introduction of management guideline algorithm of the patients with nosocomial pneumonia and the precise indication of the dose regime into clinical practice will allow doctors to decrease the death rate and improve the quality of medical service.…”
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1214
Radioembolization for neuroendocrine tumors: procedure, application and clinical outcomes
Published 2025-05-01“…Patient management should be tailored on an individual level to optimize outcomes. The incidence of complications is rare (<1%), with radiation-induced liver disease being the most concerning. …”
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1215
Minimum Error Integration Method for Quadrilateral Flat Plate Fitting in Steel Construction
Published 2025-04-01“…Our results demonstrate at most a 75.5% reduction in fitting errors for analytical curved plates with particularly significant improvements in biconvex curvature scenarios. …”
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1216
Unsupervised fake news detection on social media using hybrid Gaussian Mixture Model.
Published 2025-01-01“…In particular, it also proposes a novel hybrid method that leverages the Gaussian Mixture Model (GMM) in conjunction with the Group Counseling Optimizer (GCO), a metaheuristic optimization algorithm, to identify the optimal number of clusters for the detection of fake news. …”
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1217
Evaluation method of distribution network operation status based on local fuzzy measure in boundary region
Published 2024-11-01“…The research results showed that the cluster center update optimization method based on local fuzzy measure in boundary region could effectively reduce the negative impact of the edge region occupied by most clusters on its clustering effect, so that the cluster center was always in an ideal position. …”
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Enhancing Efficiency and Security in MTC Environments: A Novel Strategy for Dynamic Grouping and Streamlined Management
Published 2024-04-01“…These improvements mark a significant step toward achieving an optimal balance between efficiency and security for MTC networks. …”
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1219
Corporate Real Estate alignment
Published 2019-11-01“…The alternative design that adds most value to the organization, i.e. has the highest overall preference score, is the portfolio that optimally aligns real estate to corporate strategy. …”
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Dynamic-budget superpixel active learning for semantic segmentation
Published 2025-01-01“…A static budget could result in over- or under-labeling images as the number of high-impact regions in each image can vary.MethodsIn this paper, we present a novel dynamic-budget superpixel querying strategy that can query the optimal numbers of high-uncertainty superpixels in an image to improve the querying efficiency of regional active learning algorithms designed for semantic segmentation.ResultsFor two distinct datasets, we show that by allowing a dynamic budget for each image, the active learning algorithm is more effective compared to static-budget querying at the same low total labeling budget. …”
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