Image thresholding approaches for medical image segmentation-short literature review
Medical image analysis is an invaluable tool in medicine. Different imaging modalities
provide an effective means for map** images that can feed machine and deep learning …
provide an effective means for map** images that can feed machine and deep learning …
A systematic literature review of visual feature learning: deep learning techniques, applications, challenges and future directions
Abstract Visual Feature Learning (VFL) is a critical area of research in computer vision that
involves the automatic extraction of features and patterns from images and videos. The …
involves the automatic extraction of features and patterns from images and videos. The …
Od-xai: Explainable ai-based semantic object detection for autonomous vehicles
In recent years, artificial intelligence (AI) has become one of the most prominent fields in
autonomous vehicles (AVs). With the help of AI, the stress levels of drivers have been …
autonomous vehicles (AVs). With the help of AI, the stress levels of drivers have been …
Eiseg: an efficient interactive segmentation tool based on paddlepaddle
In recent years, the rapid development of deep learning has brought great advancements to
image and video segmentation methods based on neural networks. However, to unleash the …
image and video segmentation methods based on neural networks. However, to unleash the …
Graphical image region extraction with k-means clustering and watershed
With a wide range of applications, image segmentation is a complex and difficult
preprocessing step that plays an important role in automatic visual systems, which accuracy …
preprocessing step that plays an important role in automatic visual systems, which accuracy …
Autonomous navigation method of jujube catch-and-shake harvesting robot based on convolutional neural networks
Z Zheng, Y Hu, X Li, Y Huang - Computers and Electronics in Agriculture, 2023 - Elsevier
Autonomous navigation of agricultural devices plays an indispensable step for the
realization of various field intelligent operation tasks. However, the accurate extraction of …
realization of various field intelligent operation tasks. However, the accurate extraction of …
MDCNet: A Multi-platform Distributed Collaborative Network for Object Detection in Remote Sensing Imagery
With the recent development of remote sensing (RS) technology, the amount of RS platforms
has witnessed a substantial increase, and the capacity of Earth observation has been …
has witnessed a substantial increase, and the capacity of Earth observation has been …
Semantic Segmentation-Based Wafer Map Mixed-Type Defect Pattern Recognition
J Yan, Y Sheng, M Piao - IEEE Transactions on Computer …, 2023 - ieeexplore.ieee.org
Recent research applying deep learning to the field of defect pattern recognition in wafer
maps has greatly accelerated the process of defect detection. However, when different …
maps has greatly accelerated the process of defect detection. However, when different …
Internet of Things‐Based Crop Classification Model Using Deep Learning for Indirect Solar Drying
BB Sharma, G Gupta, P Vaidya… - Wireless …, 2022 - Wiley Online Library
The energy which is obtained from the sun in the form of light and heat is known as solar
energy. Nowadays, technology is focused on utilization of this rich resource of energy. So …
energy. Nowadays, technology is focused on utilization of this rich resource of energy. So …
[HTML][HTML] A Novel Hybrid XAI Solution for Autonomous Vehicles: Real-Time Interpretability Through LIME–SHAP Integration
The rapid advancement in self-driving and autonomous vehicles (AVs) integrated with
artificial intelligence (AI) technology demands not only precision but also output …
artificial intelligence (AI) technology demands not only precision but also output …