This section presents the proposed gravity model and its calibration to a specific geographical area, firstly providing a formal description of our gravity meta-model for hospital selection, detailing the foundational modeling hypotheses, the…
Category: 7. Maths
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Finding large independent sets in networks using competitive dynamics
Well-posedness of the LV algorithm
We show that the LV algorithm indeed converges to the claimed result in the following way. First, we show in Lemma 1 that the trajectories are contained in the invariant set [0, 1]n for t ≥ 0. Second,…
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Rethinking VLMs and LLMs for image classification
Appendix A: Datasets
We utilize multiple datasets with distinct characteristics to evaluate the performance of our proposed model. The datasets can be divided into two categories, tasks of Object & Scene Recognition (i.e., CIFAR-100, OOD-CV,…
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Weakly supervised learning through box annotations for pig instance segmentation
Data collection
The data used in this study were collected from a pig farm at Soonchunhyang University, South Korea. Multiple cameras were strategically installed at different viewpoints, capturing images against various backgrounds and operating…
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Design of multiple materials structure based on an explicit and implicit hybrid topology optimization method
The hybrid topology optimization method proposed in this paper combines MMC method and SIMP method, so it is necessary to understand how these two methods achieve topology optimization of multiple materials structure. The key of topology…
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Wasserstein GAN for moving differential privacy protection
GAN series models have always been mainstream generative models, but the original GAN model suffers from the issue of training collapse. WGAN improves upon this by using the Wasserstein distance, addressing the tendency for training collapse in…
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A diffusion enhanced CRF and BiLSTM framework for accurate entity recognition
Model overview
The Enhanced Diffusion Boundary Classification Network (EDCBN) addresses key challenges in NER, including noisy annotations, overlapping entities, and complex text structures, through a unified framework designed to enhance feature…
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Optimization of deep learning architecture based on multi-path convolutional neural network algorithm
Datasets collection, experimental environment, and parameters setting
The datasets selected in the experiment are the Canadian Institute for Advanced Research-10 (CIFAR-10), ImageNet dataset, and Custom Dataset. CIFAR-10 is a standard dataset…
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Adaptive crayfish optimization algorithm for multi-objective scheduling optimization in distributed production workshops
Platform of wind turbine pultruded panel production
The wind turbine pultruded panel production system follows a continuous automated pultrusion process, which involves key steps such as fiber supply, resin impregnation, mold heating and curing,…
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Finite element analysis of the human mandible: a systematic review with meta-analysis of the essential input parameters
This systematic review and meta-analysis aimed to identify the real physical test values of the essential input parameters required for an accurate mandibular finite element analysis (FEA). The study illustrates that not every essential parameter…
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