A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical …
E Yaghoubi, E Yaghoubi, A Khamees… - Neural Computing and …, 2024 - Springer
Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble
learning (EL) are four outstanding approaches that enable algorithms to extract information …
learning (EL) are four outstanding approaches that enable algorithms to extract information …
Joint spatio-temporal similarity and discrimination learning for visual tracking
Visual tracking is a task of localizing a target unceasingly in a video with an initial target
state at the first frame. The limited target information makes this problem an extremely …
state at the first frame. The limited target information makes this problem an extremely …
Advancing Ecotoxicity Assessment: Leveraging Pre-trained Model for Bee Toxicity and Compound Degradability Prediction
X Li, F Zhang, L Zheng, J Guo - Journal of Hazardous Materials, 2024 - Elsevier
The prediction of ecological toxicity plays an increasingly important role in modern society.
However, the existing models often suffer from poor performance and limited predictive …
However, the existing models often suffer from poor performance and limited predictive …
Progressive Semantic-Visual Alignment and Refinement for Vision-Language Tracking
In recent years, vision-language tracking has drawn emerging attention in the tracking field.
The critical challenge for the task is to fuse semantic representations of language …
The critical challenge for the task is to fuse semantic representations of language …
Dual aligned siamese dense regression tracker
Anchor or anchor-free based Siamese trackers have achieved the astonishing
advancement. However, their parallel regression and classification branches lack the …
advancement. However, their parallel regression and classification branches lack the …