Search
Search Results
-
Optimized Mask-RCNN model for particle chain segmentation based on improved online ferrograph sensor
Ferrograph-based wear debris analysis (WDA) provides significant information for wear fault analysis of mechanical equipment. After decades of...
-
An Efficient Image Forgery and Region Detection Using LogDIoU-Faster RCNN
In different scientific and security or surveillance applications, the identification of content-altering manipulation from a video or an image has...
-
Advanced Faster-RCNN Model for Automated Recognition and Detection of Weld Defects on Limited X-Ray Image Dataset
Computer-aided weld defect recognition is transforming the field of Non-Destructive Testing by addressing the shortcomings of slow and error-prone...
-
Classification and Localization of Objects Using Faster RCNN
On the basis of modern technological advancements, novel and sophisticated algorithms have been devised. The progression in object detection...
-
FP-RCNN: A Real-Time 3D Target Detection Model based on Multiple Foreground Point Sampling for Autonomous Driving
The perception module of autonomous driving needs to maintain high detection accuracy and speed in various weather conditions. Two-dimensional target...
-
Granulated mask RCNN and eye detection index (EDI) for detection and localization of eye of tropical cyclone from satellite imagery
The eye usually located at the center of the tropical cyclone is connected to the rapid intensification of tropical cyclone and prediction of its...
-
Student Invigilation System Using Modified Faster RCNN
Cheating during exams is a fraudulent act that sabotages hard-working students’ academic integrity and efforts and damages the standard of education....
-
Car Damage Detection Based on Mask Scoring RCNN
The growth of the car industry is now closely linked to the rise of the number of car accidents. As a result, insurance companies must deal with...
-
Research on Surface Defect Detection of Microchannel Aluminum Flat Tubes Based on Improved Faster RCNN
To address the challenges of low detection rates for surface defects in microchannel aluminum flat tubes and poor detection effectiveness for small...
-
A Novel Faster RCNN Model Based on Multi-scale Feature Fusion and Shape Priori for Dense Vehicle Detection
Compared with conventional targets, dense targets have less information, and the training data is difficult to be labeled, which leads to the poor...
-
Leaf Disease Detection in Banana Plant using Gabor Extraction and Region-Based Convolution Neural Network (RCNN)
Disease identification in bananas has proven to be more difficult in the field due to the fact that it is susceptible to a variety of diseases and...
-
Automatic License Plate Recognition with YOLOv5 and Faster-RCNN
Artificial intelligence is a field that can help us, humans, to do things that are a bit difficult. In some of the fields of artificial intelligence,...
-
Identification of Diabetic Retinopathy Using Robust Segmentation Through Mask RCNN
Medical imaging has come out to be very challenging field, in the area of computer vision; in this study, it has been aimed to detect diabetic...
-
Insulator Detection Study Based on Improved Faster-RCNN
Now, unmanned aerial vehicles are used widespreadly in insulators detection. We aimed at the problems of large errors in the identification and...
-
A Novel Fuzzy-Based Modified GAN and Faster RCNN for Classification of Banana Leaf Disease
In the global marketplace, agriculture plays an important role. However, diseases produced in plants mostly affect the financial system. Pest...
-
Morphological residual convolutional neural network (M-RCNN) for intelligent recognition of wear particles from artificial joints
Finding the correct category of wear particles is important to understand the tribological behavior. However, manual identification is tedious and...
-
Test Node Selection for Fault Diagnosis in Analog Circuits using Faster RCNN Model
Test node selection for finding faults in complex analog circuits is essential in fault dictionary techniques to reduce test cost in terms of time,...
-
Pancreases Segmentation and Classification Based on RCNN and AlexNet
Organ division is an essential for PC helped determination (CAD), quantitative imaging investigation, pathology location, and careful help. For...
-
Brain Tumor Segmentation with Efficient and Low-Complex Architecture Using RCNN and Modified U-Net
In medical applications, the boundless potential of image processing utilizing Deep Neural Networks has grabbed the interest of researchers. Brain...
-
Enhanced Mask-RCNN for Ship Detection and Segmentation
Ship detection and segmentation using satellite remote sensing imagery have become a hot issue in the scientific community. This sector helps control...