2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)最新文献_第9页

An Effective Possibilistic Fuzzy Clustering Method for Tumor Segmentation in MRI brain Images 一种有效的磁共振脑图像肿瘤分割的可能性模糊聚类方法

2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2022-11-10 DOI: 10.1109/I-SMAC55078.2022.9987388

B. Saravanan, M. Duraipandian, V. Pandiaraj

引用次数: 1

Search for Social Smart Objects Constituting Sensor Ontology, Social IoT and Social Network Interaction 寻找构成传感器本体、社会物联网和社会网络交互的社会智能对象

2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2022-11-10 DOI: 10.1109/I-SMAC55078.2022.9987249

R. Vaibhava Lakshmi, G. Deepak, A. Santhanavijayan, S. Radha

引用次数: 0

An Interactive System to Control a Humanoid Robot using Vision and Voice 基于视觉和语音的人形机器人交互控制系统

2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2022-11-10 DOI: 10.1109/I-SMAC55078.2022.9987307

Lee Yi Yong, S. Gobee, V. Durairajah

引用次数: 0

Machine Learning based Analysis of Histopathological Images of Breast Cancer Classification using Decision Tree Classifier 基于机器学习的决策树分类器对乳腺癌组织病理图像的分类分析

2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2022-11-10 DOI: 10.1109/I-SMAC55078.2022.9987276

G. Sajiv, G. Ramkumar

{"title":"Machine Learning based Analysis of Histopathological Images of Breast Cancer Classification using Decision Tree Classifier","authors":"G. Sajiv, G. Ramkumar","doi":"10.1109/I-SMAC55078.2022.9987276","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987276","url":null,"abstract":"Cancer is a significant public health problem that is experienced by people all around the world. This disease has already taken the lives of a significant number of people, and it will continue to do so in the years to come. Breast cancer has already surpassed cervical cancer as the largest frequent form of cancer detected in females in both developed and developing countries, making it the second leading cause of cancer death among women worldwide. This disease claims the lives of a significant number of women each and every year. If detected at an earlier stage, breast cancer is substantially easier to treat. In this study, a decision tree-based categorization of breast cancer in histological images is presented for the first time. Both benign and malignant breast growths can eventually develop into breast cancers. Researchers use classification as a tool to assess and classify the medical data they collect. Segmentation is a key factor in the identification of breast cancer. In order to train the model, the cancer specimens that can be found in the Kaggle archive are employed. The classification used by Decision Tree has an overall accuracy of 87.28 percent. These results provide evidence to support the utilization of the suggested machine learning-based Decision Tree classifier in the pre-evaluation of patients for the purposes of triage and decision-making prior to the provision of data.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130527357","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 Recurrent Neural Network for Reducing Carbon Foot Printing in Industry 用于减少工业碳足迹的增强递归神经网络

2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2022-11-10 DOI: 10.1109/I-SMAC55078.2022.9987427

K. Chande, Rahul Kanekar, Kiran Nair, Dina Amandykova, Supriya Addanke, Tolegen Zhaina

{"title":"Enhanced Recurrent Neural Network for Reducing Carbon Foot Printing in Industry","authors":"K. Chande, Rahul Kanekar, Kiran Nair, Dina Amandykova, Supriya Addanke, Tolegen Zhaina","doi":"10.1109/I-SMAC55078.2022.9987427","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987427","url":null,"abstract":"At present, green communication technology is receiving a significant research attention. The increasing research interest on green communication can also undermine the environment. Measuring the green communication intensity of various products, companies and processes is being carried out globally by following the rule that only the related effects are manageable, which is expressed as a carbon footprint. Green detections are having a direct, large-scale impact on carbon productions. The green initiatives can effectively reduce carbon productions by improving the energy efficiency. In summary, green discovery directly affect carbon production. This research work has attempted to reduce the carbon footprint energy by using Enhanced Recurrent Neural Network (ERNN). From an investment perspective, carbon footprint analysis can assist in evaluating a company’s overall and comparative performance. It can be used as a tool to manage and evaluate the performance of a company. Effective production management demonstrates the quality of operations and can provide a significant competitive advantage.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127161347","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

Authentication and Cryptography solutions for Industrial IoT - A Study 工业物联网的认证和加密解决方案研究

2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2022-11-10 DOI: 10.1109/I-SMAC55078.2022.9987278

Rajesh P Sukumaran, S. Benedict

引用次数: 0

A Review Paper on the Application of Machine Learning for Ad-Hoc Network 机器学习在Ad-Hoc网络中的应用综述

2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2022-11-10 DOI: 10.1109/I-SMAC55078.2022.9987365

Nongmeikapam Thoiba Singh, R. Lal, Amrita Chaudhary, Simarjeet Kaur

{"title":"A Review Paper on the Application of Machine Learning for Ad-Hoc Network","authors":"Nongmeikapam Thoiba Singh, R. Lal, Amrita Chaudhary, Simarjeet Kaur","doi":"10.1109/I-SMAC55078.2022.9987365","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987365","url":null,"abstract":"Mobile ad hoc networks collect wireless technology that enhances the ad hoc network in various situations, such as difficult releases, critical consultation or military duty, and even a lack of network infrastructure maintenance. Due to the fact that nodes can join or leave the network at your discretion, the network's topology may vary often. Nodes synchronize in mobile ad hoc networks to keep in touch with one another. Data is transferred from the source to the destination via central nodes. A node has dual functionality-host and router. This article outlines the most efficient method for moving nodes efficiently between sources and destinations while lowering computing costs and raising acquisition precision. Researchers use machine learning to solve issues with temporary networks and different mobile ad hoc network agreements in this study and the conversation. Many machine learning techniques that are used in wireless ad hoc networks are described, along with how they extract the most important criteria, restore them, and identify where they are. The most significant recent and continuing research in this area is also summarized in this paper.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129429111","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

Informatization of Human Resources Performance Management in SMSE Based on Intelligent Analysis Algorithm 基于智能分析算法的中小企业人力资源绩效管理信息化

2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2022-11-10 DOI: 10.1109/I-SMAC55078.2022.9987337

Fushan Ma, Chunhui Shao

引用次数: 0

Research Development of Computer Information Acquisition System based on Cyclic Data Analysis 基于循环数据分析的计算机信息采集系统研究与开发

2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2022-11-10 DOI: 10.1109/I-SMAC55078.2022.9987288

Yi Wang

引用次数: 0

Selection Method of Fuzzy Semantics in Machine Translation and the Integration of LBP Algorithm 机器翻译中模糊语义选择方法及LBP算法的集成

2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2022-11-10 DOI: 10.1109/I-SMAC55078.2022.9987258

Jun Chen

引用次数: 0