Wildlife object detection method applying segmentation gradient flow and feature dimensionality reduction
M Zhang, F Gao, W Yang, H Zhang - Electronics, 2023 - mdpi.com
This work suggests an enhanced natural environment animal detection algorithm based on
YOLOv5s to address the issues of low detection accuracy and sluggish detection speed …
YOLOv5s to address the issues of low detection accuracy and sluggish detection speed …
Integrated Service Architecture to Promote the Circular Economy in Agriculture 4.0
Innovation has been the transforming tool of precision agriculture as a response to
population growth and the demand for more food with quality, less waste, food security, and …
population growth and the demand for more food with quality, less waste, food security, and …
Interactive Machine Learning Framework for Predicting Non-Performing Bank Loans
The aim of this study is to develop an Interactive Machine Learning framework, based on
outlier hunting techniques to predict non-performing bank loans. Multivariate Gaussian …
outlier hunting techniques to predict non-performing bank loans. Multivariate Gaussian …
WG-YOLOv5: improved YOLOv5 based on wavelet transform and GSConv for real-time wildfire detection
L Lu, W Hong - … , Big Data, and Computer Technology (EIBDCT …, 2024 - spiedigitallibrary.org
Wildfire detection is an important societal, economic, and environmental task. Accurately
and timely identifying wildfires is crucial for protecting natural resources and ensuring the …
and timely identifying wildfires is crucial for protecting natural resources and ensuring the …