Chandra sekhara rao annavarapu
WebMar 20, 2024 · Chandra Sekhara Rao Annavarapu 2 publications . page 2. page 11. Related Research. research ∙ 10/11/2024. AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation ... WebEbenezer Jangam 1 , Chandra Sekhara Rao Annavarapu 2 Affiliations 1 Department of Information Technology, VRSiddhartha Engineering College, Vijayawada, Andhra …
Chandra sekhara rao annavarapu
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WebSep 1, 2024 · Support vector machine, random forest and Naïve Bayes were modeled for sentiment and emotion analyses, whereas latent Dirichlet allocation was administered to identify top emerging topics based on English textual reviews from three digital payment applications. This paper investigates the sentiment and emotion of digital payment … WebDec 1, 2024 · Automated segmentation of medical images is crucial for disease diagnosis and treatment planning. Medical image segmentation has been improved based on the convolutional neural networks (CNNs) models. Unfortunately, they are still limited by scenarios in which the segmentation objective has large variations in size, boundary, …
WebHe received his Master in Technology and Bachelor in Technology from the Department of Computer Science and Engineering at JNTUA, Ananthapuramu, with Distinction in 2014 and 2012. He is a Former Assistant professor at Bapatla Engineering College, Bapatla, India & Sree Venkateswara College of Engineering, Nellore, India. WebChandra Sekhara Rao Annavarapu; The Internet of Things (IoT) has been growing over the past few years due to its flexibility and ease of use in real-time applications. The IoT's foremost task is ...
WebProf Annavarapu Chandra Sekhara Rao. Male. Department of Computer Science and Engineering Indian Institute of Technology (Indian School of Mines) Dhanbad Dhanbad, … WebMeghana Karri; Annavarapu Chandra Sekhara Rao; Kishore Kumar Pedapenki, ”A Real-Time Cardiac Arrhythmia Classification using Hybrid Combination of Delta Modulation, …
WebThe aim of this survey is to present a comprehensive study of applying Social algorithms in selecting finest set of RPs, to mitigate the challenges in Mobile sink path determination to extend network lifetime and exploring Machine Learning towards the energy conservation in WSN. This paper describes the network data transmission path finding techniques with …
WebMeghana Karri 1 , Chandra Sekhara Rao Annavarapu 2 , U Rajendra Acharya 3 Affiliations 1 Computer Science and Engineering Department, Indian Institute of Technology (ISM), … dr forsmann wismarWebApr 13, 2024 · Early detection and analysis of lung cancer involve a precise and efficient lung nodule segmentation in computed tomography (CT) images. However, the anonymous shapes, visual features, and surroundings of the nodules as observed in the CT images pose a challenging and critical problem to the robust segmentation of lung nodules. This … dr forssman wismarWebEbenezer Jangam, Aaron Antonio Dias Barreto, Chandra Sekhara Rao Annavarapu. "Automatic detection of COVID-19 from chest CT scan and chest X-Rays images using … dr for shoulder painWebSep 1, 2024 · Experimental results on the Alibaba product review sentiment datasets show that the model based on two machine learning algorithms, though results in different performances, can provide suggestions on the selection of the identification classifier using a trade-off strategy and helps obtain fast and accurate classification on reviews of different … dr forstmaier wagingWebDec 2, 2024 · Chandra Sekhara Rao Annavarapu; Content type: Original Research Published: 26 January 2024; Pages: 2951 - 2966; PriFace: a privacy-preserving face recognition framework under untrusted server Authors. Shan Zhao; Lefeng Zhang; Ping Xiong; Content type: Original Research ... dr forssmann wismar faxnummerWebRead Chandra Sekhara Rao Annavarapu's latest research, browse their coauthor's research, and play around with their algorithms dr forsmark cheboygan miWebJun 23, 2024 · Chandra Sekhara Rao Annavarapu Neural Computing and Applications 33 , 2107–2123 ( 2024) Cite this article 743 Accesses 10 Citations Metrics Abstract Outlier detection is an essential task in data mining applications which include, military surveillance, tax fraud detection, telecommunication, etc. enlisted manning cycle 2023