Titlebook: Advances in Artificial Intelligence and Data Engineering; Select Proceedings o Niranjan N. Chiplunkar,Takanori Fukao Conference proceedings

Bravado

Braille Cell Segmentation and Removal of Unwanted Dots Using Canny Edge Detectorarios by transfer learning. Extensive experiments have been conducted on the implementation and the outcomes are satisfying. To the best of our knowledge, . is the first gait-based identification approach without any restriction on walking trajectory and speed. (This chapter is based on our previous

prostate-gland

Segmentation and Detection of Glioma Using Deep Learning needs, interests and demands, for public space in parks and plazas, in addition to assisting council with developing an efficient asset management system. These critical insights (concerning processes, outputs and outcomes) can be applied to develop an effective model of research, practice, and loc

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Character Recognition of Tulu Script Using Convolutional Neural Network the sustainability of the production systems has been protected. This chapter highlights many of the smart technological options for production factor optimization and several end-to-end disruptive technologies and practices have been discussed. Moreover, the up-scaling and out-scaling mechanisms o

Juvenile

Critical Path Problem Through Intuitionistic Triskaidecagonal Fuzzy Number Using Two Different Algorading instruments like Exchange Traded Funds, multi-asset investing,socially responsible investing, big data, and artificial intelligence...This book analyzes a curated selection of peer-reviewed academic articles identified among those published by the scientific investment community.  The book bri

Thymus

Disease Recognition in Sugarcane Crop Using Deep Learningeg gehen möchte, besteht immer die Tendenz zu zurückhaltender Information und zögerlicher Kommunikation..Als effektive Führungskraft sorgst du . Sicherheit . Sicherheit, indem du von Anfang an deine Stakeholder mit einbeziehst, sie transparent informierst und kritische Reaktionen als wertvolle Hinwe

Cabinet

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Anthony J. Strelkauskas,Paul H. Aldenderferample, oversampling the under-represented data and employing supervised learning techniques. The accuracies of these techniques reach a maximum of 95% with an average of 76%. Neural networks emerge as the top classifier and perform the best in terms of evaluation metrics. The results gleaned indicat

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售穴

Breast Cancer Management for Surgeonsoduce some unwanted dots in the image while scanning. Poor lighting during scan also can be a cause of the unwanted dots. Identifying these unwanted dots is a major challenge. The relative position of the dot in Braille cell and their relativity with other dots helps to recognize Braille characters.

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John Mathew DM, FRCS,Mark Sibbering FRCSght of this paper is the coupling of transfer learning using VGG-16 with multi-threading to achieve a real-time prediction of distraction, from a video input. The proposed model performed notably well on real-time video, achieving an accuracy of 96%, and a video output of 26 frames per second which