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    Analysis of Product Sampling for New Product Diffusion Incorporating Multiple-Unit Ownership by Zhineng Hu, Yurong Pei, Ruikun Xie

    Published 2014-01-01
    “…Based on the Bass model, this paper develops a new model considering the multiple-unit adoptions as a diffusion process under the influence of product sampling. …”
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    Article
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    End-to-End Detector Optimization with Diffusion Models: A Case Study in Sampling Calorimeters by Kylian Schmidt, Krishna Nikhil Kota, Jan Kieseler, Andrea De Vita, Markus Klute, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Tommaso Dorigo, Nicolas R. Gauger, Enrico Lupi, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Joseph Willmore, Pietro Vischia

    Published 2025-04-01
    “…AI Detector Optimization framework (AIDO), which leverages a diffusion model as a surrogate for the full simulation and reconstruction chain, enabling gradient-based design exploration in both continuous and discrete parameter spaces. …”
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    Point cloud enhancement by projection sampling by Paolo Giannitrapani, Tiziana Cattai, Stefania Colonnese

    Published 2025-03-01
    “…We first show that these PC projections are statistically similar to natural images and then we apply to them advanced training-free diffusion sampling. The enhanced projections are then mapped back into the 3D domain, resulting in PC enhancement, which we refer to as Projection Sampling based Point Cloud Enhancement (PS-PCE). …”
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    Generating Synthetic Malware Samples Using Generative AI by Tiffany Bao, Kylie Trousil, Quang Duy Tran, Fabio Di Troia, Younghee Park

    Published 2025-01-01
    “…In this paper, we propose a new system for generating synthetic malware samples to augment imbalanced malware dataset. Our approach decomposes malware binary samples into mnemonic opcode sequences, leveraging natural language processing to extract contextual meaning behind malware opcode features to aid the learning of generative AI (GenAI) employed in this paper, Generative Adversarial Networks (GAN), Wasserstein Generative Adversarial Networks with Gradient Penalty (WGAN-GP), and a modified Diffusion model. …”
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    Single-Step Sampling Approach for Unsupervised Anomaly Detection of Brain MRI Using Denoising Diffusion Models by Mohammed Z. Damudi, Anita S. Kini

    Published 2024-01-01
    “…The time taken to generate a single image using the iterative sampling procedure introduced in denoising diffusion probabilistic model (DDPM) is quite significant. …”
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    The Pore Diffusion Coefficient of Iodide Ion in Rock Samples Using X-ray K-edge Imaging by Jiujiang ZHAO, Zhe WANG, Zhidu ZHANG, Hong ZHAO

    Published 2023-08-01
    “…This work focuses on the diffusion process of iodide ion in limestone samples. …”
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    MED-AGNeT: An attention-guided network of customized augmentation of samples based on conditional diffusion for textile defect detection by Jun Liu, Haolin Li, Hao Liu, Jiuzhen Liang

    Published 2025-12-01
    “…In the generation stage, it samples from a normal distribution and relies on M guidance to gradually generate corresponding defective textiles, thereby expanding the original sample set. …”
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    Data augmentation via diffusion model to enhance AI fairness by Christina Hastings Blow, Lijun Qian, Camille Gibson, Pamela Obiomon, Xishuang Dong

    Published 2025-03-01
    “…Additionally, reweighting samples from AIF360 was employed to further enhance AI fairness. …”
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    Development of a Cost-effective Adsorption Dryer for High-quality Aerosol Sampling by Simonas Kecorius, Leizel Madueño, Susanne Sues, Josef Cyrys, Mario Lovrić, Mira Pöhlker, Kristina Plauškaitė, Lina Davulienė, Agnė Minderytė, Steigvilė Byčenkienė

    Published 2024-01-01
    “…Aerosol drying below 40% RH is recommended to minimize measurement artifacts, increase data quality, and make results from different environments comparable. Diffusion dryers (DD) are one of the most frequently used tools to lower RH in sampled air. …”
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