YOLOv11n-Seg base model
In this study, the YOLOv11 algorithm from the YOLO family was selected as the base model. YOLOv11 includes five variants with different parameter sizes: n, s, m, l, and x12. Among these, YOLOv11n has the fewest parameters…
Category: 7. Maths
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Hyperbolic geometry enhanced feature filtering network for industrial anomaly detection
Overall architecture
In this section, we provide a detailed introduction to our proposed anomaly detection method, HADNet. HADNet is a sophisticated detection technology that operates in hyperbolic space and is specifically designed for…
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Concrete crack opening forecasting by back propagation neural network and differential equation
Training, testing, and forecasting
As can be seen from Table 3, the only BPNN models do not perform well with R2 not that large. According Standard for hydrological information and hydrological forecasting (GB/T 22,482–2008)28, as the ratio…
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Hierarchical cross-modal attention and dual audio pathways for enhanced multimodal sentiment analysis
Existing models of multimodal sentiment analysis utilize either early fusion, which concatenates features of individual modalities, or late fusion, which computes the average prediction from each modality. Traditional methods still struggle to…
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The digital interactive design of mirror painting under transformer based intelligent rendering methods
Framework overview
The intelligent rendering framework for mirror painting consists of four main modules: input processing, feature extraction, intelligent rendering, and user interaction optimization. The primary goal of this framework is to…
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Predicting clozapine-induced adverse drug reaction biomarkers using machine learning
Data source and preprocessing
This study used data from the CVAR online database, a part of MedEffect Canada13. This program is designed to manage data on health products and their adverse reactions for the primary benefit of the consumer. Health…
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Predicting New York Heart Association (NYHA) heart failure classification from medical student notes following simulated patient encounters
The VCOM Institutional Review Board determined our study exempt from review on September 22, 2022 [1948897-1], as the study does not directly involve human subjects; instead, de-identified pre-collected data is evaluated. All activities were…
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Multilayer networks describing urban interactions for building the digital twins of five cities in Spain
Geographical extents
To limit the geographical scope of our study, we employed the administrative boundaries of each municipality within the respective cities under consideration. Within these municipal limits, we utilized census districts as the…
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Experimental study on DEM parameters calibration for organic fertilizer by the particle swarm optimization − backpropagation neural networks
Determination of test materials and intrinsic parameters
Determination of the basic parameters of the organic fertilizer particles
This paper selects the enduring sheep manure organic fertilizer manufactured by Inner Mongolia Pure Sheep Effective…
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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images
This paper proposes the EDNJIC-KELM technique. The technique aims to construct an effective system for diagnosing neonatal jaundice using advanced methods. The EDNJIC-KELM approach consists of image pre-processing, ViT-based feature extraction,…
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