Computer Vision and Machine Intelligence
Proceedings of CVMI 2022
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44 Result(s)
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Article
Hybrid genetic algorithm and support vector regression for predicting the shear capacity of recycled aggregate concrete beam
The application of recycled aggregate (RA) as a replacement for natural aggregate (NA) in concrete members brings benefits in both cost reduction and environment protection. However, the inferior quality of RA...
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Article
Clinical evaluation of nano targeted delivery system based on Chinese medicine Yishen-Huoluofang components for chronic kidney disease stage 3–4
In this study, the enrolled patients were treated with active glucose control, blood pressure control or improvement of anemia. And instruct patients to adhere to low-salt and low-fat diet, ingest part of a lo...
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Article
A local region proposals approach to instance segmentation for intestinal polyp detection
This article designs a cascaded neural network to diagnose colonoscopic images automatically. With the limited number of labeled polyps masked in binary, the proposed detection network uses a hetero-encoder to...
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Article
Reduced-order modeling methods via bivariate discrete orthogonal polynomials for two-dimensional discrete state-delayed systems
Model order reduction (MOR) techniques via bivariate discrete orthogonal polynomials are developed for two-dimensional (2-D) discrete state-delayed systems. The mathematical model of 2-D discrete systems is es...
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Article
A pyramid stripe pooling-based convolutional neural network for malware detection and classification
As image classification is gaining momentum in many applications, it is a common practice for malware detection to convert each malware sample into a gray-scale image for analysis. While most existing deep lea...
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Chapter and Conference Paper
A Visual Localization System for Complex Indoor Environment
In recent years, unmanned technology has been widely used in military and civil fields. However, agents often stop working because of positioning problems in complex urban environments. In this paper, we prese...
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Chapter and Conference Paper
ECG Heartbeat Segmentation with Bidirectional LSTM Deep Learning Neural Network
The electrocardiogram (ECG) is the most representative signal to be used and illustrated for exactly understanding electrical activity of the heartbeat. Most of the heart diseases can be detected by means of E...
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Book and Conference Proceedings
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Chapter and Conference Paper
Optimal Transport Based Multi-layer Domain Adaptation Model for Industrial Fault Diagnosis
Bearing and gearbox are important parts of transmission system, which can directly affect the efficiency of the industrial system. However, due to the varying working load and environmental change, the trainin...
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Article
A Novel Gait Pattern Recognition Method Based on LSTM-CNN for Lower Limb Exoskeleton
This paper describes a novel gait pattern recognition method based on Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) for lower limb exoskeleton. The Inertial Measurement Unit (IMU) instal...
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Chapter and Conference Paper
Study of Smart Decorating Machine on Cake Patten
Adding some shapes to food in the production process can greatly increase the added value of food and make the same food. The market is more competitive. At present, cake decorating is mainly done manually, wh...
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Chapter and Conference Paper
A Coverage and Connectivity of WSN in 3D Surface Using Sailfish Optimizer
Coverage and connectivity in the 3D surface of sensor nodes as the mountain is a critical problem in a wireless sensor network (WSN). This paper suggests a solution to multi-connectivity deployment WSN coverag...
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Article
A Fuzzy Segmentation Method to Learn Classification of Mitosis
Mitotic counts are widely used as a metric for cellular proliferation for prognosis and to determine the aggressiveness of individual cancers. This study presents a less labor-intensive method to count mitotic...
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Article
A density-core-based clustering algorithm with local resultant force
Clustering analysis has been widely used in image segmentation, face recognition, protein identification, intrusion detection, document clustering and so on. Most of the previous clustering algorithms are not ...
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Article
An Adaptive Regularization Approach to Colonoscopic Polyp Detection Using a Cascaded Structure of Encoder–Decoders
This research aims to segment colonoscopic images by automatically extracting polyp features by exploiting the strengths of convolution neural networks (CNN). The proposed model employs deep learning and adapt...
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Article
Object Pose Estimation in Accommodation Space using an Improved Fruit Fly Optimization Algorithm
The accommodation space changes as flexible products are packed into it. In order to improve the automatic loading of containers, it is necessary to solve the problem of object pose estimation in accommodation...
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Article
Simultaneous Merging Multiple Grid Maps Using the Robust Motion Averaging
Map** in the GPS-denied environment is an important and challenging task in the field of robotics. In the large environment, map** can be significantly accelerated by multiple robots exploring different pa...
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Chapter and Conference Paper
Research on High-Speed Railway Network Effectiveness Based on Theory of Constraints
Analytical method of carrying capacity based on Theory of Constraints was put forward. The effectiveness of HRN under the existing high-speed railway transportation organization was analyzed. The results show ...
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Chapter and Conference Paper
A Novel Approach for Objectness Estimation Based on Saliency Segmentation and Superpixels Clustering
Object detection is an important and challenging vision task. It is a critical part in many applications such as image search, robot navigation, and scene understanding. In this paper, we propose a novel objec...
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Chapter and Conference Paper
Formative Assessment System of College English Based on the Big Data
It is an era of rapid development of network information technology. The informatization becomes one of the most prominent features nowadays. And the field of education has also been considerably influenced. P...
