2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)最新文献_第7页

A Review on Breast Imaging Modalities based on Technical Aspects 基于技术方面的乳腺成像方式综述

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917854

Sudharsana Vijayan, P. Radhika, T. Roshini

{"title":"A Review on Breast Imaging Modalities based on Technical Aspects","authors":"Sudharsana Vijayan, P. Radhika, T. Roshini","doi":"10.1109/ICICICT54557.2022.9917854","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917854","url":null,"abstract":"Most common invasive cancer in female is Breast cancer and rarely, it will be affected in men also. From the several studies found that the second leading cause of cancer death is breast cancer in women after lung cancer. The Breast cancer occurs when the cells in the breast grow and divide that cell in an uncontrolled way. Due to this cell creating a mass of tissue in the breast itself is called tumor or mass. Signs of breast cancer are seeing changes of skin on a breast, feeling a lump in a breast and size change of breast etc. If the breast cancer/ mass detected at the early stage or at initial stage, then the survival rate of patient will be improved. In this review, several modalities have been introduced to detect the breast cancer. Furthermore some of the output parameters of these modalities have been investigated. Based on various imaging modalities, were selected around 40 articles by using search engines. And studied the selected papers thoroughly and categorize the results based on modalities which have been used. The used Breast cancer imaging techniques are Mammography, Ultrasound, CT scan, MRI and PET scan etc. The modality selection has been completely depends on the patient’s like current state of cancer tissue and density, age of the patient etc.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"252 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122719780","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

Integrating Blockchain and 5G: Advantages and Challenges of Decentralization 区块链与5G的融合:去中心化的优势与挑战

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917645

Dhruv Kumar, Dhruv Kashyap, Deepak Kumar Mishra, Pawan Singh Mehra

引用次数: 1

Solar Cogeneration in India: Current Situation and Future Prospects 印度太阳能热电联产:现状与未来展望

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9918001

Dhawan Singh, A. Singh, Aditi Thakur

引用次数: 5

A review of DC DC converters for renewable energy and EV charging applications DC - DC转换器在可再生能源和电动汽车充电中的应用综述

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917935

Aleena Joseph, S. S., Alan Mathew George

引用次数: 2

A Systematic Review on Recent Techniques for the Detection of Multiple Myeloma 多发性骨髓瘤最新检测技术的系统综述

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917638

Shinu Mm, D. Pamela, S. J, G. Devadhas

引用次数: 0

HRPA: Human Resource Prediction Analytics HRPA:人力资源预测分析

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917576

Shweta Pandey, Jalpa Mehta

{"title":"HRPA: Human Resource Prediction Analytics","authors":"Shweta Pandey, Jalpa Mehta","doi":"10.1109/ICICICT54557.2022.9917576","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917576","url":null,"abstract":"Each company tries its hardest to make the best use of its employees in order to accomplish the business's profitability. However, they encounter a number of issues unique to their best employees, which is frequently where people analytics comes into play. Day-to-day operations, procedural efficiencies, and other strategic operational challenges are handled by HR analytics. As a result, HR analytics considers all components of an organization at a high level, whereas work force analytics concentrates on personnel data such as engagement, job satisfaction, and success. The wide category of HR analytics includes labor force analytics. Employees leave for a number of reasons, including dissatisfaction with their pay, stagnant career advancement, and so on. A great defeat is possible for a firm to be profitable not just in terms of money, but also in terms of losing valuable employees. If the company determines whether or not that employee should be promoted, predicts what proportion of earnings that employee should receive, and determines whether or not that employee will leave the company in the near future, the company will work on employee retention in advance to keep their valuable and hardworking employees. Machine learning approaches might be used to forecast staff turnover and retention. Each modern organization accumulates a wide range of employee data; We'll utilize this data, analyze it, and extract insights from it so that the firm can make better decisions about how to conduct employees job.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133463683","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

Deep Learning Based Detection of Diabetic Retinopathy using Retinal Fundus Images 基于深度学习的视网膜眼底图像检测糖尿病视网膜病变

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917709

C. Kumari, A. Hemanth, Veda Anand, D. Kumar, R. Naga Sanjeev, T. S. Sri Harshitha

{"title":"Deep Learning Based Detection of Diabetic Retinopathy using Retinal Fundus Images","authors":"C. Kumari, A. Hemanth, Veda Anand, D. Kumar, R. Naga Sanjeev, T. S. Sri Harshitha","doi":"10.1109/ICICICT54557.2022.9917709","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917709","url":null,"abstract":"Diabetic retinopathy is a type of diabetes which affects the eye by causing damage to retinal blood vessels. It may have no symptoms at first or cause diminished vision problems. As the condition deteriorates, it affects both eyes, leading to partial or complete loss of vision. This is especially so when blood sugar levels are uncontrollable. As a result, the diabetic patient is at greater risk for developing this condition. The risk of complete and permanent blindness can be avoided if an early detection is made. As a result, effective screening method is required. In this paper the four salient features microaneurysms, blood vessels, hemorrhages and exudates are drawn out from the unprocessed images using image-processing techniques and convolutional neural network is used for automatic identification and it implements fundus images classification of Diabetic Retinopathy. The pre-trained CNNs use DenseNet-169. The transferred CNNs are then fine-tuned using the fundus images. Pre-trained CNN models were considered as feature extractors for fundus pictures. As features, the outputs of the final fully connected layers are used. By using DenseNet-16 the highest accuracy is obtained compared to remaining models. The ensuing result displays visual examples as well as images of the corresponding DRIVE database basic facts. The model is further trained with a Conv2 layer with 128 filters to improve accuracy, and greater integration is used to obtain an accuracy of 80%.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133997294","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

Otsuka Ochiai Energy Efficient and Probabilistic Extreme Load Balancing for WSN Assisted IoT WSN辅助物联网的能效和概率极端负载均衡

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917772

S. Rani, K. Sankar

引用次数: 0

Machine learning based human body temperature measurement and mask detection by thermal imaging 基于机器学习的人体体温测量和热成像面具检测

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917903

A. M., G. Udupa

引用次数: 1

Enabling Identity-Based Integrity Auditing and Data Sharing with Sensitive Information Hiding for Secure Cloud Storage 为安全云存储启用基于身份的完整性审计和敏感信息隐藏的数据共享

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917653

Asha S, P. K, Tanmay Joshi

{"title":"Enabling Identity-Based Integrity Auditing and Data Sharing with Sensitive Information Hiding for Secure Cloud Storage","authors":"Asha S, P. K, Tanmay Joshi","doi":"10.1109/ICICICT54557.2022.9917653","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917653","url":null,"abstract":"With the increase in the data growth, where data storage becomes difficult if the user wants to store it on a local drive, which is why many organizations and people prefer storing their data on a cloud storage. With accessibility of cloud storage, people can remotely use cloud storage and avail data storage. Remote data integrity has been suggested as a way to ensure the integrity of data stored in clouds. The health care system is one example of cloud storage, and the cloud file there may include sensitive data. This sensitive information should not be shared with others. One solution would be to encrypt the whole file to avoid sensitive data sharing, but then this way the file would be unusable to others. The method for implementing data sharing with sensitive information disguised in remote data integrity audits is one topic that hasn't been looked into yet. This technique does this by creating a sanitizer that will clean up data blocks that correspond to the sensitive information in the file and change those signatures into valid ones for the cleansed file. These signatures are utilised during the integrity auditing procedure to confirm the cleaned-up file. As a result, this scheme allows files to be shared with others, while also maintaining data security by sanitizing blocks of sensitive data, with the data integrity auditing still able to be executed efficiently without any problems. Identity-based cryptography, which the proposed solution is built on, makes complex certificate administration simple. The proposed method is efficient and secure, according to the performance analysis and security analysis.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115598343","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