This workstream consists of two parts. Part 1 covers the research paper exploration and comparison as per the given application areas. You can refer to this link for the detailed requirements and deliverable - https://www.dropbox.com/scl/fi/7je9du63qpsum
To address these challenges, this paper proposed a multi-scale bounding box (MSB-Box) feature extraction strategy based on spatial relation dynamic encoding (SRD-encoding) and a multi-scale point cloud down-sampling (MPDS) strategy to enhance computational efficiency. Utilizing these proposed ...
A novel image-based Captcha named Style Area Captcha (SACaptcha) is proposed in this paper, which is based on semantic information understanding, pixel-level segmentation and deep learning techniques. Having demonstrated that text Captchas are no longer secure, we hope our proposal shows promise ...
Data enhancement is to expand more data by changing the picture data of the training and synchronously changing the position information of the label, but not changing the category of the label, so as to improve the quality of the picture. Meanwhile, this paper only expands the training set. ...
Transfer Learning in Scalable Graph Neural Network for Improved Physical Simulation content typepaper|research areaMethods and Algorithms,research areaTools, Platforms, Frameworks|Published year2025 AuthorsSiqi Shen, Yu Liu, Daniel Biggs, Omar Hafez, Jiandong Yu, Wentao Zhang, Bin Cui, Jiulong Shan ...
including supervised learning, market dynamics modeling, and RL. python platform finance machine-learning research deep-learning paper fintech quant quantitative-finance investment stock-data algorithmic-trading research-paper quantitative-trading quant-dataset quant-models auto-quant Updated Jan 9, 2025 ...
which can explain the external data.Firstly,this paper discussed the origin of deep learning.Secondly,it described the common methods of deep learning illustrated by the example of supervised lear-ning and unsupervised learning.Then it generalized deep learning's recent research and applications.Finally...
In this paper, based on the premise of deep learning, the patent document classification problem is studied. 展开 关键词: Deep learning Patent document classification Sparse automatic encoder Deep belief network Softmax DOI: 10.2991/aiie-16.2016.71 被引量: 1 ...
Deep Image Prior [paper] [article] [code] Online Deep Learning: Learning Deep Neural Networks on the Fly [arXiv] Learning Explanatory Rules from Noisy Data [arXiv] Improving Palliative Care with Deep Learning [arXiv] [article] VoxelNet: End-to-End Learning for Point Cloud Based 3D Object ...
The vigorous development of the construction industry has also brought unprecedented safety risks. The wearing of safety helmets at the construction site can effectively reduce casualties. As a result, this paper suggests employing a deep learning-based