2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)最新文献_第4页

Comparative performance analysis of machine learning classifiers on ovarian cancer dataset 机器学习分类器在卵巢癌数据集上的性能比较分析

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234509

S. Bhattacharjee, Yumnam Jayanta Singh, D. Ray

{"title":"Comparative performance analysis of machine learning classifiers on ovarian cancer dataset","authors":"S. Bhattacharjee, Yumnam Jayanta Singh, D. Ray","doi":"10.1109/ICRCICN.2017.8234509","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234509","url":null,"abstract":"Machine learning classifiers help physicians to make near-perfect diagnoses, minimizing costs and time. Since medical data usually contains a high degree of uncertainty and ambiguity, proper ordering and classification require a proper comparative performance analysis of machine learning classifiers. Machine learning classifiers are applied on the Ovarian Cancer Dataset. Ovarian cancer is the fifth leading cause of cancer-related death among women, and is the deadliest of gynecological cancers. The mortality rate of ovarian cancer ranks first. Thus, early diagnosis and treatment are critical for improving the patients' cure rate and prolonging their survival. Here we have investigated Mass spectrometry (MS) field data to develop a computer-aided system for the purpose. Using machine learning techniques, data is classified in different categories to identify benign and malignant cancerous cells and a comparative study has been done to identify the most suitable technique under different operational conditions and datasets. Our Comparative studies show that the Multilayer Perceptron (MLP) is the best options for such detection considering its performance metrics such as Accuracy, Sensitivity, Specificity and Errors","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130647516","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: 6

Comparison of centroid-based clustering algorithms in the context of divide and conquer paradigm based FMST framework 基于分而治之模式的FMST框架下基于质心的聚类算法比较

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234510

S. S. Sandhu, Ashwin R. Jadhav, B. Tripathy

引用次数: 2

Novel design and performance analysis of a Mars exploration robot: Mars rover mongol pothik 火星探测机器人的新设计与性能分析:火星漫游者蒙古波蒂克

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234494

Mohammad Rezaul Islam, F. H. Chowdhury, Sifat Rezwan, Mohammed Jawad Ishaque, Jamir Uddin Akanda, Abu Shaid Tuhel, Benazir Bashar Riddhe

{"title":"Novel design and performance analysis of a Mars exploration robot: Mars rover mongol pothik","authors":"Mohammad Rezaul Islam, F. H. Chowdhury, Sifat Rezwan, Mohammed Jawad Ishaque, Jamir Uddin Akanda, Abu Shaid Tuhel, Benazir Bashar Riddhe","doi":"10.1109/ICRCICN.2017.8234494","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234494","url":null,"abstract":"This paper introduces a mars exploration robot based system that useful to explore the planet mars. Mars Rover NSU is a semi-autonomous robot that is developed based on sensors and interactive applications. The robot is capable of completing human assistant tasks, Astronaut assistance task, collecting resource from planet mars, giving a feedback of soils condition such as temperature, moisture, pH. This robotics system includes a web based mother station from where the rover is controlled and given instructions to complete tasks. The mars rover will be used in planetary exploration research to explore life on mars. This rover has rocker-bogie suspension system, robotics arm, Drilling mechanism, live feed camera, aluminum wheels suitable to explore planet mars. This research is mainly focused on robotic system and computational efficiency. The system is consist of a GPS system for mapping purpose and smooth controlling features. In his paper we will discuss about different functionalities of mars rover. The end result will show the efficiency, impact and performance analysis of the system.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116456105","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: 8

Optimal placement of charging stations using CSO-TLBO algorithm 基于CSO-TLBO算法的充电站优化布局

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234486

S. Deb, K. Kalita, Xiao-zhi Gao, K. Tammi, P. Mahanta

引用次数: 17

Design and analysis of a novel mathematical model towards realizing the need for intelligent transportation system in Indian cities 为实现印度城市对智能交通系统的需求而设计和分析一个新颖的数学模型

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234503

T. Chakraborty, Tanima Chakraborty

{"title":"Design and analysis of a novel mathematical model towards realizing the need for intelligent transportation system in Indian cities","authors":"T. Chakraborty, Tanima Chakraborty","doi":"10.1109/ICRCICN.2017.8234503","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234503","url":null,"abstract":"Intelligent Transportation System (ITS) is integral towards envisioning a truly mobile and digital India. While existing solutions like smart vehicles and autonomous driving are inapplicable for Indian cities, transport surveys in India have provided offline solutions through GPS data. Without analytical formulations, they are prone to failure in ever-changing Indian urban landscape. This paper addresses this contemporary problem and provides an analytical model that serves as the backbone for developing ITS in India. Contribution of this paper is the formulation of objective function using road networks that reduces congestion by minimizing vehicular density under constraints of feasible paths and traffic flows. Novelty of this work is further established by exhaustive studies that determine important traffic metrics and further establish relationships among critical congestion-queue parameters. Additionally, indepth studies of Indian cities under this model justify our motivation for ITS-enabled India. Finally, validation with theoretical model establishes the credibility of this work.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129600818","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

A novel chaotic chicken swarm optimization algorithm for feature selection 一种新的混沌鸡群特征选择算法

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234517

Khaled Ahmed, A. Hassanien, S. Bhattacharyya

引用次数: 27

A novel approach to secure biomedical images and videos for transmission 一种保护生物医学图像和视频传输的新方法

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234492

Kunal Hossain, Susovan Jana, S. Mukherjee, R. Parekh

引用次数: 3

FPV drone with GPS used for surveillance in remote areas 带有GPS的FPV无人机用于偏远地区的监视

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234482

Apurv Saha, Akash Kumar, Aishwarya Sahu

引用次数: 13

Sense GST: Text mining & sentiment analysis of GST tweets by Naive Bayes algorithm Sense GST:使用朴素贝叶斯算法对GST推文进行文本挖掘和情感分析

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234513

Sourav Das, A. Kolya

{"title":"Sense GST: Text mining & sentiment analysis of GST tweets by Naive Bayes algorithm","authors":"Sourav Das, A. Kolya","doi":"10.1109/ICRCICN.2017.8234513","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234513","url":null,"abstract":"In this modern era of communication, people are always connected to the internet. Hence, everyone tends to express their opinions on social media or e-commerce websites about commercial products, movies, sports, social and geopolitical matters and even on government policies. These opinions reflect the corresponding person's view or sentiment about that particular matter, which ultimately leads to the formation of opinion polarity regarding a specific issue. In today's context, Twitter, Facebook or other social platforms often witness a lot of opinion waves regarding some of the today's most hot topics, and one of them surely is the introduction of Goods and Services Tax or GST in India. The rising sentiment analysis and opinion mining regarding this issue is helping researchers to understand the insight of public emotion. It can be also implemented to gain an idea of allover opinion polarity of people in this matter. GST was one of the most rending topic on social network platforms during Jun-July 2017, so in this paper, we present a simple and robust work to gather, analyze and graphically represent people's opinion about India's new taxation system using Naive Bayes algorithm.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116584404","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: 26

Y-Trees: An extending non-linear data structure for better organization of large-sized data y树:一种扩展的非线性数据结构，用于更好地组织大型数据

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234528

Mayank Kumar

引用次数: 0