Titlebook: Computer Vision and Machine Intelligence Paradigms for SDGs; Select Proceedings o R. Jagadeesh Kannan,Sabu M. Thampi,Shyh-Hau Wang Conferen

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High Performance Classifier for Brain Tumor Detection Using Capsule Neural Network,propose a Caps Net (Capsule Neural Network) model to avoid the rise of mortality among the brain tumor people and to reduce the time required for accurate diagnosis. The proposed method involves MRI images for classifying the different types of tumors and outperforms CNN in accuracy.

影響

Mining Suitable Symptoms to Identify Disease Using Apriori and NBC,oms for a particular disease and applying in patient data to check whether they are affected or not using a classification algorithm leads to suitable treatment for the diseased patients. This paper proposes a model to systematically close those gaps using our methods.

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Conference proceedings 2023dustry and academia. This book includes contemporary innovations, trends, and concerns in computer vision with recommended solutions to real-world problems adhering to sustainable development from researchers across industry and academia. This book serves as a valuable reference resource for academics and researchers across the globe.

中世紀(jì)

PTZ-Camera-Based Facial Expression Analysis using Faster R-CNN for Student Engagement Recognition,ses also have a potential threat to students’ engagement before and especially after the post-covid. Facial Expressions Analysis has become essential in the learning environment, whether it is online or offline. The offline classroom environment is considered a problem environment. Since, it can be

Entreaty

Convergence Perceptual Model for Computing Time Series Data on Fog Environment, of fog nodes in a fog computing set up shall best suit time sensitive applications especially on virtual clusters supporting edge devices in sensing, processing, controlling and action planning, there by replacing the non-virtualized complicated computing mechanisms resolving the existing complexit

逃避現(xiàn)實(shí)

Localized Super Resolution for Foreground Images Using U-Net and MR-CNN,age is not clear it might not be of much use. Thus, the topic of image super resolution arose and many researchers have been working toward applying computer vision and deep learning techniques to increase the quality of images. One of the applications of super resolution is to increase the quality

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Automated Sorting, Grading of Fruits Based on Internal and External Quality Assessment Using HSI, Dport plays a significant role in GDP. After harvesting they‘re washed, sorted, graded, pressed, and put down. Out of every one of these stages grading and sorting of fruits are vital way. The main end is to plan an automated system that improves the standard, upgrades the creation productivity, decr

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混亂生活

Classification of Fungi Effected Psidium Guajava Leaves Using ML and DL Techniques, most of the crops are lost to fungi. The aim is to work on the prime crop of our H&K (Hyderabad & Karnataka) region, which will help the farmers of this region as there is no work done on this crop. The dataset is possessed from a fruit-farm of H&K region of Karnataka, India. We have implemented bo