Search
Search Results
-
An Evaluation of Hybrid RRT* with Anytime RRT* Algorithm for Wheeled Mobile Robot
In robotics applications, real-time path planning is essential for allowing robots to travel effectively and independently in changing situations....
-
Simplified single-end Rayleigh and Brillouin hybrid distributed fiber-optic sensing system
A simplified single-end Rayleigh/Brillouin hybrid distributed sensing system is proposed and experimentally demonstrated, which can simultaneously...
-
Early Prediction of Coronary Heart Disease Using Hybrid Machine Learning Models
Millions of people die each year from cardiovascular disease, which is the leading cause of death worldwide. Coronary Heart Disease is primarily...
-
CTNet: hybrid architecture based on CNN and transformer for image inpainting detection
Digital image inpainting technology has increasingly gained popularity as a result of the development of image processing and machine vision....
-
Hybrid3D: learning 3D hybrid features with point clouds and multi-view images for point cloud registration
In recent years, point cloud registration has achieved great success by learning geometric features with deep learning techniques. However, existing...
-
A Comparative Study of Over-Sampling Techniques as Applied to Seismic Events
The likelihood that an earthquake will occur in a specific location, within a specific time frame, and with ground motion intensity greater than a...
-
RealySt: A C++ Tool for Optimizing Reachability Probabilities in Stochastic Hybrid Systems
This paper presents the open-source C++ tool RealySt for effectively computing optimal time-bounded reachability probabilities for subclasses of...
-
Improved writer retrieval in handwritten documents using hybrid combination
Writer retrieval has valuable applications in analyzing handwritten documents, such as the verification of authenticity and authorship of unknown...
-
A hybrid storage blockchain-based query efficiency enhancement method for business environment evaluation
A favorable business environment plays a crucial role in facilitating the high-quality development of a modern economy. In order to enhance the...
-
Improved gradient boosting hybrid spectrum sharing and actor critic channel allocation in 6G CR-IOT
The fast advancement of wireless communication technology and the growth in the reputation of Internet of Things (IoT) applications have led to the...
-
Conditional hybrid GAN for melody generation from lyrics
Conditional sequence generation aims to instruct the generation procedure by conditioning the model with additional context information, which is an...
-
A hybrid ensemble method with negative correlation learning for regression
Hybrid ensemble, an essential branch of ensembles, has flourished in the regression field, with studies confirming diversity’s importance. However,...
-
HDLP: air quality modeling with hybrid deep learning approaches and particle swam optimization
Predicting air pollution in cities has become an important tool for preventing its negative impacts. Therefore, citizens should be aware of air...
-
A hybrid deep learning framework for daily living human activity recognition with cluster-based video summarization
In assisted living facilities or nursing homes, residents’ movements or actions can be monitored using Human Activity Recognition (HAR), ensuring...
-
Mechanical element’s remaining useful life prediction using a hybrid approach of CNN and LSTM
For the safety and reliability of the system, Remaining Useful Life (RUL) prediction is considered in many industries. The traditional machine...
-
Technostress Experiences Under Hybrid Work Conditions in South Africa: Causes and Co** Mechanisms
During the COVID-19 pandemic, South African organisations required their employees to work from home, which caused technostress. The stress while...
-
Hybrid model with improved score level fusion for heart disease classification
The heart, an essential organ of the body, pumps blood filled with oxygen to every area of the body through a complex network of veins and arteries....
-
Cascaded Bilinear Map** Collaborative Hybrid Attention Modality Fusion Model
LiDAR and Camera feature fusion detection is widely used in the field of 3D object detection. A fusion method that integrates the two modalities into...
-
Hybrid technique for fundus image enhancement using modified morphological filter and denoising net
Diabetic retinopathy is manually predicted by ophthalmologists using features such as variations in length and thickness of blood vessels, lesions...
-
On proportional volume sampling for experimental design in general spaces
Optimal design for linear regression is a fundamental task in statistics. For finite design spaces, recent progress has shown that random designs...
