Titlebook: Intelligent Learning for Computer Vision; Proceedings of Congr Harish Sharma,Mukesh Saraswat,Jagdish Chand Bansal Conference proceedings 20

新義

Development of Inter-ethnic Harmony Search Algorithm Based on Inter-ethnic Reconciliation,solution stagnation), various improved versions of HS developed to overcome these drawbacks. In this study, a new improved HS is proposed called inter-ethnic harmony search (IeHS). IeHS is developed to mimic the concept of the reconciliation of various ethnicities from Turkish history, and this algo

完整

A Low-Cost Embedded Computer Vision System for the Classification of Recyclable Objects,e present a novel solution to this inefficiency, by the use of embedded computer vision (CV) in the material recovery facilities (MRF). The proposed architecture employs software (i.e., TensorFlow and OpenCV) and hardware (i.e., Raspberry Pi) as an embedded platform in order to classify daily life o

Lipoprotein(A)

An Optimal Feature Selection Approach Using IBBO for Histopathological Image Classification,x image background and morphological variations these images generate very large feature vectors which make the automated classification task difficult. Therefore,?in this paper,?a new feature selection method based on improved biogeography-based optimization algorithm is proposed to select the prom

Debility

Accuracy Evaluation of Plant Leaf Disease Detection and Classification Using GLCM and Multiclass SVd of crop drops due to contagions instigated by numerous types of illnesses on parts of the houseplant. Leaf illnesses are principally instigated by fungi, bacteria, virus, etc. Verdict of the illness would be completed precisely and suitable activities should be occupied at the suitable period. Ima

Anhydrous

A Deep Learning Technique for Automatic Teeth Recognition in Dental Panoramic X-Ray Images Using Moob. The examination quality is also directly related to the experience and the personal factors, i.e., stress, fatigue, etc., of the dental care providers. To assist them handling this problem, a residual network-based deep learning technique, i.e., faster R-CNN technique, is proposed in this study.

欺騙手段

FILTH

Customary

Multi-class Support Vector Machine-Based Household Object Recognition System Using Features Supportblem is addressed with a three-stage mechanism. In the initial stage using PCL, the object image undergoes segmentation methods which make the image suitable for extracting the features. In the second stage, a segmented image is used to extract suitable shape-based features that can separate each ob

新鮮

Initialization of MLP Parameters Using Deep Belief Networks for Cancer Classification, neural networks which are formed by a visible and hidden layer, respectively. Each visible layer receives a lower-level feature set learned by previous RBM and passes it through to top layers turning them into a more complex feature structure. In this study, the proposed method is to feed the train

繞著哥哥問