[PDF][PDF] 基于迁移学习提高WiFi 室内定位中信道状态信息指纹库的鲁棒性

李玉柏, 孙迅 - 电子与信息学报, 2023 - jeit.ac.cn
基于信道状态信息(CSI) 数据的WiFi 指纹可用于室内定位. 与信号强度值(RSSI) 数据相比, CSI
具有更高的数据信息粒度, 并且可以在多个子载波上获得. 当使用CSI 数据进行室内定位时 …

Defense against adversarial attacks on deep convolutional neural networks through nonlocal denoising

S Aneja, N Aneja, PE Abas, AG Naim - arXiv preprint arXiv:2206.12685, 2022 - arxiv.org
Despite substantial advances in network architecture performance, the susceptibility of
adversarial attacks makes deep learning challenging to implement in safety-critical …

[PDF][PDF] Facial expression recognition of masked faces using deep learning

B Hdioud, MEH Tirari - IAES Int. J. Artif. Intell, 2023 - academia.edu
Facial expression recognition (FER) represents one of the most prevalent forms of
interpersonal communication, which contains rich emotional information. But it became even …

[PDF][PDF] Automated Cell Counting using Image Processing

DK Hassan, H Suhaimi, MR Bilad… - International Journal of …, 2023 - researchgate.net
Manual cell counting using Hemocytometer is commonly used to quantify cells, as it is an
inexpensive and versatile method. However, it is labour-intensive, tedious, and time …

[HTML][HTML] Smart Diagnosis of Adenocarcinoma Using Convolution Neural Networks and Support Vector Machines

B Ananthakrishnan, A Shaik, S Chakrabarti, V Shukla… - Sustainability, 2023 - mdpi.com
Adenocarcinoma is a type of cancer that develops in the glands present on the lining of the
organs in the human body. It is found that histopathological images, obtained as a result of …

Prediction case of core parameters of shale gas reservoirs through deep Transformer transfer learning

M WANG, XP GUO, HM TANG, SL ZHANG… - Chinese Journal of …, 2023 - en.dzkx.org
Due to the strong heterogeneity of the reservoir, it is difficult to extend the classical reservoir
parameter prediction model to the new work area. Traditional geological methods rely on …

[HTML][HTML] 深度Transformer 迁移学习的页岩气储层核心参数预测案例

汪敏, 郭鑫平, 唐洪明, 张少龙, 杨桃, 钟光海 - 地球物理学报, 2023 - geophy.cn
地层纵横向非均质性强, 工区间数据分布存在差异. 这导致基于已有工区数据构建的机器学习储
层参数预测模型, 推广到新工区会存在较大预测误差. 常规地质方法是在岩心与测井响应特征 …

Predictive linguistic cues for fake news: a societal artificial intelligence problem

S Aneja, N Aneja, P Kumaraguru - arXiv preprint arXiv:2211.14505, 2022 - arxiv.org
Media news are making a large part of public opinion and, therefore, must not be fake. News
on web sites, blogs, and social media must be analyzed before being published. In this …

A highly robust indoor location algorithm using WiFi channel state information based on transfer learning reinforcement

Y LI, X SUN - 电子与信息学报, 2023 - jeit.ac.cn
The WiFi fingerprint based on Channel State Information (CSI) data can be used for indoor
positioning. Compared to Received Signal Strength Indicator (RSSI) data, CSI has a higher …

Applying convolutional neural network and Nadam optimization in flower classification

Q Aini, Z Zulfiandri, R Firmansyah, YM Arif - Bulletin of Electrical …, 2024 - beei.org
Flowers have a variety of shapes, colors and structures, the images of which need to be
classified using guided learning techniques. Several studies classify flowers using machine …