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Extraction of Single Chemical Structure from Handwritten Complex Chemical Structure with Junction Point Based Segmentation
In chemistry domain, lots of chemical compounds were represented by complex graphics. These complex graphics can be a combination of basic shapes...
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Sequential sampling of junction trees for decomposable graphs
The junction-tree representation provides an attractive structural property for organising a decomposable graph . In this study, we present two novel...
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A Traffic Model with Junction Constraints for Smart Cities Development
Good environmental quality is the foundation for a good quality of life. Technologies of Smart Cities can adequately support the path of...
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Polar Grid Based Point Cloud Ground Segmentation
The processing of 3D point clouds from laser scanning is still challenging in self-driving perception and positioning community. Ground segmentation...
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Image encryption with a Josephson junction model embedded in FPGA
The dynamical analysis, field programmable gate array (FPGA) implementation and image encryption of a linear piecewiseresistive-capacitive-inductive...
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Effect of Gap Junction Distribution, Size, and Shape on the Conduction Velocity in a Cell-by-Cell Model for Electrophysiology
Gap junction arrangement is a major determinant of cardiac conduction velocity. Importantly, structural remodeling of the myocardium may lead to...
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AFpoint: adaptively fusing local and global features for point cloud
Due to the sparseness and irregularity of the point cloud, accurate extraction of internal structural details from the point cloud as well as fast...
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DetailPoint: detailed feature learning on point clouds with attention mechanism
Point cloud analysis is an important part of 3D geometric processing. It has been widely used in many fields, such as automatic driving and robots....
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SingleMatch: a point cloud coarse registration method with single match point and deep-learning describer
Point cloud registration is a necessary step of object digitization. In this paper, we propose a coarse registration method with a single match...
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FeatureB2SENet: point cloud classification of large scenes
With the continuous development of 3D data acquisition technology in recent years, it is more and more convenient to obtain the point cloud data of...
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Detecting and tracking a road-drivable area with three-dimensional point clouds and IoT for autonomous applications
This work presents a Light Detection and Ranging (LiDAR)-based point cloud method for detecting and tracking road edges. Initially, this work...
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Recognition of splice-junction genetic sequences using random forest and Bayesian optimization
Recently, Bayesian Optimization (BO) provides an efficient technique for selecting the hyperparameters of machine learning models. The BO strategy...
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Point Cloud Diffusion Models for Automatic Implant Generation
Advances in 3D printing of biocompatible materials make patient-specific implants increasingly popular. The design of these implants is, however,...
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A Single Electron Transistor-Based Floating Point Multiplier Realization at Room Temperature Operation
Floating point numbers provide more range as compared to the fixed point values. The multiplier is one of the main blocks of a processor. For...
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Efficient graphene in-plane homogeneous p-n-p junction based infrared photodetectors with low dark current
Graphene-based photodetectors have drawn a large amount of interests owing to its wide spectral response, however, the high dark current greatly...
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Adaptive Quantization for Predicting Transform-Based Point Cloud Compression
The representation of three-dimensional objects with point clouds is attracting increasing interest from researchers and practitioners. Since this...
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Development of path planning algorithm for biped robot using combined multi-point RRT and visibility graph
Path planning plays an important role while moving the robot from one location to another. The present paper is concerned with solving the path...
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Automated recognition of 3D pipelines from point clouds
This study proposes a method for detecting and reconstructing pipelines from a 3D point cloud. First, the method extracts points on cylindrical...
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PL\({}_{1}\)P: Point-Line Minimal Problems under Partial Visibility in Three Views
We present a complete classification of minimal problems for generic arrangements of points and lines in space observed partially by three calibrated...
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Fog-Cloud-IoT centric collaborative framework for machine learning-based situation-aware traffic management in urban spaces
The issue of traffic mismanagement is getting bad to worse as the trend of urbanization is increasing and posing significant threats to the urban...
