Application of improved distributed naive Bayesian algorithms in text classification

H Gao, X Zeng, C Yao - The Journal of Supercomputing, 2019 - Springer
The naive Bayes classifier is a widely used text classification method that applies statistical
theory to text classification. Due to the particularity of the text, related feature items may …

From Algorithms to Architecture: Computational Methods for House Floorplan Generation

AB Yenew, BG Assefa - SN Computer Science, 2024 - Springer
House floorplan generation entails crafting efficient spatial layouts within buildings,
harmonizing functionality, aesthetics, and usability. The automation of this process is pivotal …

Fuzzy removing redundancy restricted Boltzmann machine: improving learning speed and classification accuracy

X Lü, L Meng, C Chen, P Wang - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
To improve the feature extraction ability and shorten the learning time, fuzzy removing
redundancy restricted Boltzmann machine (F3RBM) is developed. The features extracted by …

[HTML][HTML] The identification and analysis of the centers of geographical public opinions in flood disasters based on improved naïve Bayes network

H Tang, H Xu, X Rui, X Heng, Y Song - International journal of …, 2022 - mdpi.com
The increasing frequency of floods and the lack of protective measures have the potential to
cause severe damage. Working from the perspective of network public opinion is an …

Neighborhood search-based job scheduling for IoT big data real-time processing in distributed edge-cloud computing environment

C Li, YH Zhang, Y Luo - The Journal of Supercomputing, 2021 - Springer
Cloud-edge collaboration architecture, which combines edge processing and centralized
cloud processing, is suitable for placement and caching of streaming media. A cache-aware …

Side information hybrid generation based on improved motion vector field

W Wang, J Li, H Mo, J Chen - Multimedia Tools and Applications, 2021 - Springer
The quality of side information has an important impact on the performance of a distributed
video coding system. At present, the generation of side information is mainly based on the …

Side information generation scheme based on coefficient matrix improvement model in transform domain distributed video coding

W Wang, J Chen - Entropy, 2020 - mdpi.com
In order to effectively improve the quality of side information in distributed video coding, we
propose a side information generation scheme based on a coefficient matrix improvement …

Phase-based side information generation in distributed video coding

H Chen, W Wang, J Li, H Mo, J Chen - Multimedia Tools and Applications, 2022 - Springer
In distributed video coding, the quality of side information (SI) directly affects the final
compression efficiency and rate-distortion performance. In the process of generating SI …

Automatic road extraction from remote sensing images based on rectangle marked point process

Y Wu, Q Zhao, Y Li, Y Wang - Canadian Journal of Remote Sensing, 2021 - Taylor & Francis
Aiming at solving inaccurate and incomplete extraction of road in remote sensing images,
this paper proposes an automatic extraction algorithm based on Rectangle Marked Point …

[PDF][PDF] Fast side information generation for high-resolution videos in distributed video coding applications

S Khursheed, N Badruddin, V Jeoti… - Int J Adv Comput Sci …, 2020 - academia.edu
Distributed video coding (DVC) is an attractive and promising scheme that suits the
constrained video applications, such as wireless sensor networks or wireless surveillance …