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A New Version of Weighted Weibull Distribution: Modelling to COVID-19 Data
Published 2022-01-01“…Also, the hazard rate function can be increasing, decreasing, up-side-down, and J-shaped. Diverse features of the novel are computed. These qualities include moments, incomplete moments, and Lorenz and Bonferroni curves and quantiles, as well as entropy and order statistics. …”
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2382
A Real-Time Cotton Boll Disease Detection Model Based on Enhanced YOLOv11n
Published 2025-07-01“…Partial Convolution (PConv) is incorporated into the C3k2 module to reduce computational redundancy and lower the model’s computational complexity while maintaining high recognition accuracy. …”
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Dose-related adaptive reconstruction of DMN in isoflurane administration: a study in the rat
Published 2023-06-01“…Relative power spectral density, static functional connectivity (FC), fuzzy entropy of dynamic FC, and topological features were computed from the data. Results The results showed that adaptive reconstruction was induced by isoflurane, exhibiting reduced static and stable long-range FC, and altered topological features. …”
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2385
Numerical Analysis of Pressure Drops in Single-Phase Flow Through Channels of Brazed Plate Heat Exchangers with Dimpled Corrugated Plates
Published 2025-07-01“…The presented research examines the performance characteristics of Brazed Plate Heat Exchangers through computational fluid dynamics (CFD), focusing on pressure drop calculations for single-phase flow within full channels of plates featuring dimpled corrugation. …”
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2386
Modelling earthquake interevent times using mixtures of exponential distributions
Published 2025-04-01“…However, most of these distributions are associated with complex numerical computations for parameter estimation, regardless of the statistical method of estimation, thus making their practical use quite challenging. …”
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2387
Conventional Construction and 3D Printing: A Comparison Study on Material Cost in Jordan
Published 2020-01-01“…Then, the architectural, economical, environmental, and structural features of 3D printing are introduced. Examples of 3D printed structures are presented, and the construction challenges facing Jordan, that encouraged this study, are stated. …”
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2388
Development of the index of idiopathic lobular panniculitis activity on the basis of the clinical and laboratory characteristics of a series of clinical observations (the authors'...
Published 2018-01-01“…There is a need for further investigations and maybe a search for new parameters of ILP activity.…”
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2389
Enhancing heart disease classification with M2MASC and CNN-BiLSTM integration for improved accuracy
Published 2024-10-01Get full text
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2390
Statistical analysis of the formation mechanism of concepts-representations in organizational and technical systems
Published 2018-09-01“…Within the framework of the computer paradigm in organizational and technical systems, such obvious principles as digital representation of information and its processing with the use of algorithms implemented by computing means are used. …”
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2391
Biomechanical Optimization of Lumbar Fusion Cages with a Porous Design: A Finite Element Analysis
Published 2025-05-01“…This study evaluates the biomechanical efficacy of personalized porous fusion cages—featuring Gyroid (G-Cage) and Voronoi (V-Cage) architectures—against classic (C-Cage) and personalized (P-Cage) designs, aiming to enhance stability and mitigate subsidence risks. …”
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2392
Comprehensive performance and optimization of micro textured slipper pair of axial piston pumps
Published 2025-04-01“…Four micro-textures, each featuring unique opening and pit configurations, have been proposed. …”
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2393
Impact of Corrugated Fins on Flow and Heat Transfer Performance in Medium-Deep Coaxial Underground Heat Exchangers
Published 2025-04-01“…The optimal configuration, featuring a fin width of 15 mm, a spacing of 60 mm, and a thickness of 15 mm, achieves a maximum PEC value of 1.34 at Re = 12,000, indicating a substantial improvement in heat transfer performance within acceptable pressure drop limits. …”
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Automatic body condition scoring system for dairy cows in group state based on improved YOLOv5 and video analysis
Published 2025-06-01“…This system enhances feature extraction ability by introducing dual path networks and convolutional block attention modules and improves efficiency by replacing some modules from the standard YOLOv5s with deep separable convolution to reduce parameters. …”
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2397
Lung function trajectories in children with early diagnosis of non-cystic fibrosis bronchiectasis: a retrospective observational study
Published 2024-11-01“…Abstract Background Non-cystic fibrosis (non-CF) bronchiectasis (BE) is defined as a clinical syndrome of recurrent, persistent wet cough and abnormal bronchial dilatation on chest High Resolution Computed Tomography (HRCT) scans. The aims of this study were to characterize the pattern of the trajectories of lung function parameters and to consider the relationship between the lung function and radiological severity according to the modified Reiff score. …”
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2398
A Combinatory Analytical and Finite Element Approach for Comparing Electromagnetic Performance in IPM and SPM Synchronous Motors
Published 2025-07-01“…Subsequently, a finite element method is presented for computing, simulating, and comparing the electromagnetic parameters of both proposed motors, including their back electromotive force, torque ripple, efficiency, and power factor. …”
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A Massive Image Recognition Algorithm Based on Attribute Modelling and Knowledge Acquisition
Published 2021-01-01“…Then, an efficient deep neural network mapping algorithm is designed and implemented for the microprocessing architecture and software programming framework of this edge processor, and a layout scheme is proposed to place the input feature maps outside the kernel DDR and the reordered convolutional kernel matrices inside the kernel storage body and to design corresponding efficient vectorization algorithms for the multidimensional matrix convolution computation, multidimensional pooling computation, local linear normalization, etc., which exist in the deep convolutional neural network model. …”
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