Synthesis K-SVD based analysis dictionary learning for pattern classification

Q Wang, Y Guo, J Guo, X Kong - Multimedia Tools and Applications, 2018 - Springer
In the fields of computer vision and pattern recognition, dictionary learning techniques have
been widely applied. In classification tasks, synthesis dictionary learning is usually time …

A novel framework for real-time diseased coral reef image classification

N Ani Brown Mary, D Dharma - Multimedia Tools and Applications, 2019 - Springer
The new challenge in image processing is in processing submarine coral reef images. The
coral reef disease classification from such submarine coral reef images has become an …

A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework

X Wang, L Chen, H Zhang, P Wang, Z Zhou… - Proceedings of the …, 2023 - dl.acm.org
Spatiotemporal data forecasting is a fundamental task in the field of graph data mining.
Typical spatiotemporal data prediction methods usually capture spatial dependencies by …

ESR-GAN: Environmental signal reconstruction learning with generative adversarial network

X Kang, L Liu, H Ma - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Monitoring the status of urban environmental phenomenon, which provides fundamental
sensory information, is of great significance for various field of urban research. In this article …

A novel approach to build accurate and diverse decision tree forest

AR Panhalkar, DD Doye - Evolutionary intelligence, 2022 - Springer
Decision tree is one of the best expressive classifiers in data mining. A decision tree is
popular due to its simplicity and straightforward visualization capability for all types of …

Modeling of microplastics degradation in aquatic environments using an experimental plan

M Kida, M Musiał, K Pochwat, S Ziembowicz… - Journal of Hazardous …, 2024 - Elsevier
The aim of this article is to apply advanced predictive modeling techniques to understand
the degradation process of microplastics in aquatic environments. Utilizing a Fractional …

Distinguishable zero-watermarking scheme with similarity-based retrieval for digital rights Management of Fundus Image

B Zou, J Du, X Liu, Y Wang - Multimedia Tools and Applications, 2018 - Springer
Zero-watermarking scheme can provide durable and distortion-free digital rights
management (DRM) for fundus image which plays an important role in diagnosis of ocular …

Detection of breast abnormalities in digital mammograms using the electromagnetism-like algorithm

KB Soulami, MN Saidi, B Honnit, C Anibou… - Multimedia Tools and …, 2019 - Springer
The detection of abnormalities in the breast at an early stage can be so helpful for breast
cancer treatment. Currently, mammography is the cheapest and the most efficient technique …

A unified framework with multi-source data for predicting passenger demands of ride services

Y Wang, X Lin, H Wei, T Wo, Z Huang… - ACM Transactions on …, 2019 - dl.acm.org
Ride-hailing applications have been offering convenient ride services for people in need.
However, such applications still suffer from the issue of supply-demand disequilibrium …

A spatiotemporal multi-view-based learning method for short-term traffic forecasting

S Cheng, F Lu, P Peng, S Wu - ISPRS International Journal of Geo …, 2018 - mdpi.com
Short-term traffic forecasting plays an important part in intelligent transportation systems.
Spatiotemporal k-nearest neighbor models (ST-KNNs) have been widely adopted for short …