Titlebook: Artificial Intelligence and Soft Computing; 20th International C Leszek Rutkowski,Rafał Scherer,Jacek M. Zurada Conference proceedings 2021

corpus-callosum

Teubner Reihe Wirtschaftsinformatikfrom different groups are as dissimilar to each other as possible. The literature presents vast diversity on data clustering approaches, including systems that model the behavior of social individuals from different species. This work proposes a clustering algorithm that is reasoned upon the social

彩色

Melatonin

Contextual Image Classification Through Fine-Tuned Graph Neural Networks from the advances in computational resources and the large volume of complex data (i.e., images). These factors led to an increase in the use of convolutional neural networks. However, such deep learning architectures do not appropriately explore the relationships between the data (e.g., images) an

讽刺滑稽戏剧

Architecture Monitoring and Reliability Estimation Based on DIP Technologysification society’s standards which contain both non-destructive tests and visual surveys, to search structural damage, reliability, cracks, thickness measurement, and Water dripping generally documented by manually or with measurements tape. But, it is very hard to search cracks by visually monito

整洁漂亮

An Efficient Technique for Filtering of 3D Cluttered Surfacesbject recognition. In this paper, we propose to present a technique for automatic filtering of cluttered surfaces. First, the technique clusters a point cloud and then based on three features that are size, distance and spatial information, cluttered surfaces are separated. To the best of our knowle

Debate

remission

Multimodal Image Fusion Method Based on Multiscale Image Mattingource images. This paper proposes a multimodal image fusion method situated on image enhancement, edge detection, multiscale sliding window, and image matting to obtain the detailed region information of the input images. In the proposed system, firstly the multimodality input images are rectified v

Melodrama

depreciate

RGB-D Odometry for Autonomous Lawn Mowingerating in various lawns placed in parks, airports, home gardens and many more. To ensure all navigation algorithms’ requirements are met, first accurate estimation of current position and orientation needs to be found. Scientists proposed many approaches using encoders, RADARs, LIDARs or vision/dep

裂隙

Using PMI to Rank and Filter Edges in Graphs of Wordsation, which must provide relevant information to the classifier. One of the most effective representation models uses graphs to represent documents. This paper presents an approach that uses this representation model but with weighted graphs. We propose to use a popular word association measure, th