2022 7th International Conference on Computing, Communication and Security (ICCCS)最新文献_第3页

Effect of Genetic Algorithm in Optimizing Deep Structured Petroleum Reservoir Classifier 遗传算法在深层构造油气藏分类优化中的作用

2022 7th International Conference on Computing, Communication and Security (ICCCS) Pub Date : 2022-11-03 DOI: 10.1109/ICCCS55188.2022.10079293

R. K. Pandey, Adarsh Kumar, Akhilesh Kumar Sharma, R. K. Sharma, Ha Huy Cuong Nguyen

引用次数: 2

A Comparative Study of Different Convolution Neural Network Architectures for Hyperspectral Image Classification 不同卷积神经网络结构在高光谱图像分类中的比较研究

2022 7th International Conference on Computing, Communication and Security (ICCCS) Pub Date : 2022-11-03 DOI: 10.1109/ICCCS55188.2022.10079495

M. K. Singh, B. Kumar

引用次数: 0

Internet of things (IoT) applications and Challenges: A Study 物联网(IoT)应用与挑战:研究

2022 7th International Conference on Computing, Communication and Security (ICCCS) Pub Date : 2022-11-03 DOI: 10.1109/ICCCS55188.2022.10079508

Rajesh Kumar, Harishchander Anandaram, K. Joshi, Vivek Kumar, Jadeep Reshi, R. Saini

{"title":"Internet of things (IoT) applications and Challenges: A Study","authors":"Rajesh Kumar, Harishchander Anandaram, K. Joshi, Vivek Kumar, Jadeep Reshi, R. Saini","doi":"10.1109/ICCCS55188.2022.10079508","DOIUrl":"https://doi.org/10.1109/ICCCS55188.2022.10079508","url":null,"abstract":"Internet of Things (IoT) transformed finished the general unlimited wrapper of persons, keen devices, intelligent effects, statistics, and arguments of attention. It is no unidentified that as continually accomplishes important additional to the network, the experiments of protective the archives that they inform and the transferences that they effort have acquired progressively heedful. Through the centuries, we’ve obvious about pouring in Internet of Things (IoT) devices, expansively in two domains– in homes and in accumulating. Since those are balanced and shut structures, the responsibilities of protective the devices regulator with the performance residence whole salers. In this chapter, we will state-owned arithmetic nonviolent protection in hypothesis and supplementary governments. Administrations which contribute current, oil &petrol, riddling, treatment drugs, eating times and imbuement, water cure, and a lot more are constantly bidding to comprise the accurate covers of protection, as they permit on increasingly more device and devices on the network. Apparatus discoverers and bloom crown movements administrators constantly expressions exercise to viewpoint their bodily things from numerical hazards. It is also for every one of these activities, the background of the data, topologies of IoT applications, and problems of vulnerability controller and hopeful consistence worldly normally.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114821353","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

A Novel Scheme For Feature Selection Using Filter Approach 一种基于滤波方法的特征选择新方案

2022 7th International Conference on Computing, Communication and Security (ICCCS) Pub Date : 2022-11-03 DOI: 10.1109/ICCCS55188.2022.10079604

Damodar Patel, A. Saxena, Suman Laha, Gulame Mustafa Ansari

引用次数: 1

Machine Learning based Sentiment Analysis of Hindi Data with TF-IDF and Count Vectorization 基于TF-IDF和计数矢量化的机器学习的印地语数据情感分析

2022 7th International Conference on Computing, Communication and Security (ICCCS) Pub Date : 2022-11-03 DOI: 10.1109/ICCCS55188.2022.10079323

Ashwani Gupta, U. Sharma

{"title":"Machine Learning based Sentiment Analysis of Hindi Data with TF-IDF and Count Vectorization","authors":"Ashwani Gupta, U. Sharma","doi":"10.1109/ICCCS55188.2022.10079323","DOIUrl":"https://doi.org/10.1109/ICCCS55188.2022.10079323","url":null,"abstract":"Sentiment refers to emotions. Sentiment analysis, often known as opinion mining, is the technique of identifying and extracting subjective data from pre-web and post-web reviews using text analytics, computational linguistics, and natural language processing. Hindi is an Indian language which is used by many of Indians. Due to phenomenal growth of online product reviews in Hindi post-web Hindi reviews are also increasing rapidly. A machine learning based method in this paper to analysis postweb text data. The present method is divided into four steps. First of all, an annotated Hindi review data set is developed from post-web sources. In second step, feature extraction is performed on annotated Hindi review dataset using the Term-Frequency/ Inverse-Document Frequency (TF-IDF) and count vectorization techniques. In the third step, the retrieved features are given to the classifier so it can make predictions. Moreover, annotated dataset translated into English. Second step and third step are performed on annotated English dataset in last step. A range of evaluation criteria, including precision, recall, and F1- score, are presented in the results. In both instances, the support vector machine produced the most pertinent results.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123977641","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

Solutions of Second Order Homogenous Linear Differential Equation 二阶齐次线性微分方程的解

2022 7th International Conference on Computing, Communication and Security (ICCCS) Pub Date : 2022-11-03 DOI: 10.1109/ICCCS55188.2022.10079253

Naveen Mehra, S. K. Chanyal

引用次数: 0

Machine Learning approaches for Crop Yield Prediction: A Review 作物产量预测的机器学习方法综述

2022 7th International Conference on Computing, Communication and Security (ICCCS) Pub Date : 2022-11-03 DOI: 10.1109/ICCCS55188.2022.10079240

Malika Kulyal, P. Saxena

{"title":"Machine Learning approaches for Crop Yield Prediction: A Review","authors":"Malika Kulyal, P. Saxena","doi":"10.1109/ICCCS55188.2022.10079240","DOIUrl":"https://doi.org/10.1109/ICCCS55188.2022.10079240","url":null,"abstract":"By providing food producers with much greater access to data about their operations, artificial intelligence (AI) in agriculture has revolutionized the way that agricultural operations throughout the globe operate. A farming method known as yield mapping employs supervised machine learning algorithms to find patterns in massive data sets that may be utilized for crop planning. A critical problem in agriculture is estimating increased crop output with machine learning algorithms. The current study presents a detailed analysis of the applications of ML for predicting crop yield for different datasets. The research papers have been selected for this review, focused on the latest publications, which suggests how vital is this research field. The techniques, traits, and qualities employed in studies related to crop yield prediction were extracted from that research and correlated in this study. In the models, soil type, rainfall, season, and temperature are the most often utilized characteristics, and Random Forest is the most frequently used method, according to our research. Deep learning-based studies were also analyzed, and the most commonly used Deep Learning technique is DNN and CNN.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123715130","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

AI/ML Based new smart customer feedback system for hospitality Industry 基于AI/ML的酒店行业新型智能客户反馈系统

2022 7th International Conference on Computing, Communication and Security (ICCCS) Pub Date : 2022-11-03 DOI: 10.1109/ICCCS55188.2022.10079480

Ramnarayan, K. Joshi, Jagdeep Reshi, M. Memoria, Ashulekha Gupta, Neha Rastogi

引用次数: 0

PDF Malware Analysis PDF恶意软件分析

2022 7th International Conference on Computing, Communication and Security (ICCCS) Pub Date : 2022-11-03 DOI: 10.1109/ICCCS55188.2022.10079419

Md Yusuf Khalil, Vivek, K. Anand, Antarlina Paul, Rahul Grover

引用次数: 1

Impact Of Ai On The Banking Industry 4.0 人工智能对银行业4.0的影响

2022 7th International Conference on Computing, Communication and Security (ICCCS) Pub Date : 2022-11-03 DOI: 10.1109/ICCCS55188.2022.10079399

Prenjal Tayal, Neha Rastogi, Tarunpreet Kaur Ahuja, S. Tyagi, K. Joshi, Yasmin Makki Mohialden

{"title":"Impact Of Ai On The Banking Industry 4.0","authors":"Prenjal Tayal, Neha Rastogi, Tarunpreet Kaur Ahuja, S. Tyagi, K. Joshi, Yasmin Makki Mohialden","doi":"10.1109/ICCCS55188.2022.10079399","DOIUrl":"https://doi.org/10.1109/ICCCS55188.2022.10079399","url":null,"abstract":"Moving forward in the fourth-generation industry, which is known as Industry 4.0 or the Fourth Industrial revolution, defined as merger of advanced manufacturing techniques with the Internet of Things to create manufacturing systems that communicate, analyze, and use information to stay inter connected so that give back intelligent action to the physical world. Artificial intelligence is the substitute of human intelligence processes by machines, especially computer systems, it is also known as machine learning, which focuses on creating and managing that type of technology that help in independently making decisions and do actions on behalf of a human being. It is changing the way we live, interactions with clients and companies, which also changes existing business methods and financial services. This study focuses on reviewing banks in a fourth industrial revolution, this paper has qualitative approach from the references, we will confer how Artificial Intelligence is used in the banking sector, the benefits and the Challenges faced by banking industry. Development of Artificial Intelligence has different ways in which it can improve the operations of a banking industry and safeguard customers with priority section.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122609693","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: 1