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Sevilla, J. et al. Compute trends across three eras of machine…
Category: 7. Maths
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A directed greybox fuzzer for windows applications
In this section, we describe our methodology and the main aspects of the WinDGF in detail. As an innovative vulnerability detection framework, WinDGF addresses three fundamental challenges in Windows-directed fuzzing: (1) platform-specific…
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Random walk based snapshot clustering for detecting community dynamics in temporal networks
In this section, we present our new method Local Neighborhood Exploration (LNE) and its special case Invariant Measure Comparison (IMC). We illustrate its key steps and capabilities with a guiding example on a synthetic temporal network,…
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Machine learning assisted adjustment boosts efficiency of exact inference in randomized controlled trials
Hypothesis testing under non-parametric adjustment
In this work, we focus on RCTs with continuous outcomes and with an objective to compare two group means. Our method is based on the Rosenbaum’s framework. For details, please see5. As a brief…
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How key features of early development shape deep convective systems
Prediction of maximal size with growth rate only
Focusing first on the results when the learning relies solely on the initial evolution of the growth rate of the area, we begin by examining the impact of the observation period of the system on the…
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Robust Bi-CBMSegNet framework for advancing breast mass segmentation in mammography with a dual module encoder-decoder approach
The study compares Bi-CBMSegNet with leading semantic segmentation methodologies, focusing on metrics for segmentation efficacy and computational efficiency. It discusses the outcomes of context association modules, the influence of the balance…
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Multi-task reinforcement learning and explainable AI-Driven platform for personalized planning and clinical decision support in orthodontic-orthognathic treatment
Experimental setup and dataset description
The experimental validation utilized a comprehensive retrospective dataset comprising 347 orthodontic-orthognathic patients treated between 2015 and 2023 at three university-affiliated craniofacial…
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Research on water quality prediction of Jiangshan Port based on SCV-CBA model
The prediction of water quality data faces the problem of obvious non-stationarity and non-linearity, so the model combining CEEMDAN, K-means, VMD, CNN, BiLSTM and Attention provides an effective solution.
Data preprocessing and decomposition
Data…
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Cross paradigm fusion of federated and continual learning on multilayer perceptron mixer architecture for incremental thoracic infection diagnosis
Dataset
All data utilized in this study were obtained from publicly available open-source online datasets, with no involvement of direct human participation or clinical trials. The COVID-X-ray images were categorized into six classes: Normal (470…
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DSF-YOLO for robust multiscale traffic sign detection under adverse weather conditions
Baseline framework
YOLOv8, introduced by Ultralytics in 2023, is a state-of-the-art object detection algorithm known for its exceptional flexibility and rapid deployment capabilities on in-vehicle hardware38,39,40,41. The model is available in…
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