2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)最新文献_第7页

Breast Histopathological Image Classification Using Deep Learning 基于深度学习的乳腺组织病理学图像分类

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622691

Rashmi R, K. Prasad, C. B. Udupa

{"title":"Breast Histopathological Image Classification Using Deep Learning","authors":"Rashmi R, K. Prasad, C. B. Udupa","doi":"10.1109/CONECCT52877.2021.9622691","DOIUrl":"https://doi.org/10.1109/CONECCT52877.2021.9622691","url":null,"abstract":"Breast histopathological image analysis for cancer diagnosis using computer tools have gained much attention in the past decade due to the development in computation power. In particular, deep learning-based algorithms which uses deep features are popularly explored for analysing breast histopathological images. However, there exists several challenges in developing computer tools such as heterogeneous characteristic of cancerous cells, illumination variation, color variation etc. Moreover, deep learning models are dependent on large annotated datasets. However, limited benchmark breast histopathological image datasets restricts the application of deep learning models. In this regard, the present paper aims at classification of breast histopathological images at 100x magnification into benign and malignant using deep learning models. Further, this paper demonstrates that data augmentation can improve the accuracy of deep learning models for classification of breast histopathological images. This paper also demonstrates that transferring the features of deep learning models learnt on general object class to and fine tuning it to classify breast histopathological images gives competitive results.","PeriodicalId":164499,"journal":{"name":"2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115264430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced VoLTE Medium Access Control Scheduling Algorithm for eMTC Devices eMTC设备VoLTE介质访问控制调度的改进算法

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622349

Akhil Kumar, D. Das

引用次数: 1

Predicting the Cattle Production Parameters Through Deep Learning Approach: A Review 利用深度学习方法预测牛生产参数的研究进展

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622550

Harshitha M Nayak, N. E., M. N

引用次数: 0

Frequency Domain Features Based Atrial Fibrillation Detection Using Machine Learning And Deep Learning Approach 基于频率域特征的房颤检测——基于机器学习和深度学习方法

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622533

S. Shrikanth Rao, M. Kolekar, R. J. Martis

引用次数: 4

Performance Benchmarking Frameworks for Distributed Ledger Technologies 分布式账本技术的性能基准框架

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622659

Jignasha R Shah, D. Sharma

引用次数: 1

State of Health Estimation of Lithium Ion Batteries using Recurrent Neural Network and its Variants 基于递归神经网络及其变体的锂离子电池健康状态评估

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622557

M. Raman, V. Champa, V. Prema

引用次数: 7

A Graph Mining Approach to Detect Sandwich Calls 一种检测三明治调用的图挖掘方法

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622627

Gautham K. Dileep, G. Sajeev

{"title":"A Graph Mining Approach to Detect Sandwich Calls","authors":"Gautham K. Dileep, G. Sajeev","doi":"10.1109/CONECCT52877.2021.9622627","DOIUrl":"https://doi.org/10.1109/CONECCT52877.2021.9622627","url":null,"abstract":"Across the broad reception of numerous measures to detect fraudulent communication through phone calls in the context of crime investigation, the analysis of Call Detail Records among the suspicious group of individuals help to detect illegal activities based on their relationships. Criminologists and examiners make use of the network graph analysis methods to deal with these scenarios in a significant and productive manner. ‘Sandwich Call’ is a technique of making a chain of phone calls through a network of people to pass a message between two persons disguising the fact that they are effectively communicating with each other. Mostly it is used with an immoral intention as the resultant Call Graph of such communication does not reveal any sort of direct relationships between the entities easily. This work presents a Sandwich Call Detection Tool - a standalone graph mining-based tool to provide visual data representation and identification of Sandwich Calls. Its adoption may help in unveiling the structure of a criminal network and the roles and dynamics of communications among its components in real life.","PeriodicalId":164499,"journal":{"name":"2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127360520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Dynamic analysis of split-shaft microturbine for stand-alone and grid-connected mode of operation 分离式轴微型水轮机单机与并网工况动态分析

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622681

B. Das, Soumyabrata Barik, V. Mukherjee, D. Das

引用次数: 0

Brain-Computer Interface for Quadcopter Morphology Manipulation 四轴飞行器形态学处理的脑机接口

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622548

T. Tothong, James Samawi, Ameya Govalkar, K. George

引用次数: 1

Design and Development of PWM based Solar Hybrid Charge Controller 基于PWM的太阳能混合充电控制器的设计与开发

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622645

K. Sachin, V. Yadav, Aashiwal Nirmal Mukesh, Praveen Kumar Sharma, L. Solanki

引用次数: 1