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2023 International Conference on Artificial Intelligence and Smart Communication (AISC)最新文献

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Blockchain To Secure Cloud computing services 区块链保护云计算服务
2023 International Conference on Artificial Intelligence and Smart Communication (AISC) Pub Date : 2023-01-27 DOI: 10.1109/AISC56616.2023.10085060
Sushmita Goswami, Dipesh Uike, Sujeet Patil, Yashasvi Thakur, S. Akram, Kumud Pant
{"title":"Blockchain To Secure Cloud computing services","authors":"Sushmita Goswami, Dipesh Uike, Sujeet Patil, Yashasvi Thakur, S. Akram, Kumud Pant","doi":"10.1109/AISC56616.2023.10085060","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085060","url":null,"abstract":"The fast progress of technology has led to a rise in recent decades in privacy and cyberattack issues. This effort focuses on job in keeping and anonymity-enhancing safe cloud computing services using a blockchain named. It is developed with two features—anonymous files and searches for illegally submitted content. On, cloud users may identify all users inside the application layer and access data using payment systems. Analysis is done on how well three different implementations pure ledger, composite block chain with a cache and a convention database—perform when it comes to obtaining data. The results show that the work with the caches beats the pure network and the conventional by 50% and 53.19 percent, respectfully.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132628069","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
Miniaturized Two-element MIMO Antenna with neutralization line and an asymmetric open slot for WLAN and IOT applications 带有中和线和非对称开槽的小型化双元MIMO天线，适用于WLAN和IOT应用
2023 International Conference on Artificial Intelligence and Smart Communication (AISC) Pub Date : 2023-01-27 DOI: 10.1109/AISC56616.2023.10085167
Anubhav Kumar, Charu Tyagi, Divya Saxena, Pankaj Jha
{"title":"Miniaturized Two-element MIMO Antenna with neutralization line and an asymmetric open slot for WLAN and IOT applications","authors":"Anubhav Kumar, Charu Tyagi, Divya Saxena, Pankaj Jha","doi":"10.1109/AISC56616.2023.10085167","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085167","url":null,"abstract":"The miniaturized two-port antenna is presented in this paper using a novel neutralized line along with asymmetrical open slot in ground plane. The neutralized line is incorporated between elements of antenna which produces current null with improvement in the port isolation up to 12 dB. The asymmetric open slots are used to weaken the movement of surface waves between ports which improves the isolation up to 17 dB. The size of the miniaturized antenna is 0.32 λ0 x 0.26 λ0 with an edge distance of 0.13 λ0 achieving the maximum port isolation of 35 dB. The operating bandwidth of a Two-port MIMO antenna varies from 4.95 GHz to 5.45 GHz frequency and would be prominent in the IoT/Wi-Fi and WLAN applications.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"29 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133280768","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
Explicability of Artificial Intelligence in Healthcare 5.0 医疗5.0中人工智能的可解释性
2023 International Conference on Artificial Intelligence and Smart Communication (AISC) Pub Date : 2023-01-27 DOI: 10.1109/AISC56616.2023.10085222
Tanishq Soni, Deepali Gupta, Mudita Uppal, Sapna Juneja
{"title":"Explicability of Artificial Intelligence in Healthcare 5.0","authors":"Tanishq Soni, Deepali Gupta, Mudita Uppal, Sapna Juneja","doi":"10.1109/AISC56616.2023.10085222","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085222","url":null,"abstract":"Marvin Minsky, the father of Artificial intelligence (AI), defined AI as machines that are smarter than humans and can-do tasks that humans cannot easily do. Artificial intelligence has grown at a rapid rate never before seen in a variety of industries. Different types of AI are already used by insurance companies, service providers and companies. Now, with the addition of AI, the healthcare sector is also emerging. Increased availability of medical data and rapid advances in analytical techniques are causing a paradigm shift in healthcare. The literature reveals multiple AI applications for healthcare services and an incompletely covered body of research. The authors explored the current situation of AI technology in healthcare was examined, in addition to their long-term prospects. As a result, the goal is to use a bibliometric method to analyze the dynamics of the interconnection between digital health and AI approaches while taking into account responsible AI and ethical elements of scientific output throughout time.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133788007","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
Multiclass Classification of Prostate Cancer Gleason Grades Groups Using Features of multi parametric-MRI (mp-MRI) Images by Applying Machine Learning Techniques 应用机器学习技术基于多参数mri (mp-MRI)图像特征的前列腺癌Gleason分级组多类分类
2023 International Conference on Artificial Intelligence and Smart Communication (AISC) Pub Date : 2023-01-27 DOI: 10.1109/AISC56616.2023.10085270
I. S. Virk, R. Maini
{"title":"Multiclass Classification of Prostate Cancer Gleason Grades Groups Using Features of multi parametric-MRI (mp-MRI) Images by Applying Machine Learning Techniques","authors":"I. S. Virk, R. Maini","doi":"10.1109/AISC56616.2023.10085270","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085270","url":null,"abstract":"Prostate cancer (PCa) accounted for 7.8% of all new cases and was the fourth most common cancer in 2020 with 1.4 million new cases. With 15.4% of all newly diagnosed cases in 2020 being prostate cancer, it was the second most prevalent type of cancer in men globally. Due to complex nature of PCa, it is matter of concern that development of Computer Aided Diagnosis (CAD) systems for detection PCa is not keeping up with other cancer disciplines. Feature extraction using region of interest (ROI) is an important step for developing CAD systems. Around the centre of 112 PCa lesions from 99 patients, region of interest was extracted from BVAL, ADC, and T2W MRI images. Features based on two and three dimensions are extracted from the ROI. Total 444 features are extracted and used for machine learning based classification. Comparison of the proposed approach for feature extraction is tested on three classifiers viz. Support Vector Machine (SVM), Naïve Bayes (NB) and k-Nearest Neighbour (KNN). The assessment measures used to compare the aforementioned classifiers include accuracy, recall, precision, and accuracy as well as the F1-score, Receiver Operating Characteristics Curve (ROC), AUC, and U. Kappa. SVM classification outperform as best model with features extracted from ADC and T2W modality with an accuracy of 44.64 %, FPR 0.1604, and PPVGG>1 = 0.7500.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117151338","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
Advanced Medical Nursing Care Unit for Emergency Healthcare Based on the Internet of Things 基于物联网的急诊医疗高级医疗护理单元
2023 International Conference on Artificial Intelligence and Smart Communication (AISC) Pub Date : 2023-01-27 DOI: 10.1109/AISC56616.2023.10085394
Tejal Patel, Arvind Kumar Pandey
{"title":"Advanced Medical Nursing Care Unit for Emergency Healthcare Based on the Internet of Things","authors":"Tejal Patel, Arvind Kumar Pandey","doi":"10.1109/AISC56616.2023.10085394","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085394","url":null,"abstract":"IoT has recently been employed in the healthcare profession to build and integrate various sensors control using smart intelligent units. The application of modern technologies in the healthcare and medical sectors, however, has a long way to go. The typical nursing care unit is run by medical staffs, and as result, the hospital’s patient data are updated incompetently due to the growing medical demand. A realistic, smart health nursing care unit with such a system that is capable of aiding the efficient and practical management of medical professionals had taken on new relevance given the urgency of the situation. The suggested framework works as a nurse & provides patients with the pleasure of nurse care through analysis of health records & activities of patients inside this emergency treatment unit. The developed system using cloud computing could be able to determine the patients' true location for the very first time. In an emergency, knowing the patient’s exact position is essential for patient rescue. This study demonstrates that the primary stage of intelligent health nursing care is the smart nurse care unit (SMNC). It has several sensor modules, & because there are so many sensor combined in the sensor system, it connects or communicates between patients and healthcare staffs in a remarkably short amount of time.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122130859","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
Robust Control of Integrated Renewable Energy Systems 集成可再生能源系统的鲁棒控制
2023 International Conference on Artificial Intelligence and Smart Communication (AISC) Pub Date : 2023-01-27 DOI: 10.1109/AISC56616.2023.10085508
Nivedita Singh, Jay Singh, M. A. Ansari, Ashutosh Mishra, Layba Layba, Mohd. Junaid
{"title":"Robust Control of Integrated Renewable Energy Systems","authors":"Nivedita Singh, Jay Singh, M. A. Ansari, Ashutosh Mishra, Layba Layba, Mohd. Junaid","doi":"10.1109/AISC56616.2023.10085508","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085508","url":null,"abstract":"The requirement of electricity generated from renewable energy resources are growing in the present era. Renewable energy systems reduce environmental pollution and greenhouse effects. Renewable energy resources generate power and are interconnected to the power grid through conventional means. These energy systems supply power to remote as well as urban areas. Particle swarm optimization (PSO) is an artificial intelligence technique utilized to perform an optimal search for controller parameters that can mitigate oscillations and improve power system stability. This paper presents PSO optimized PID/FUZZY controller design for a fuel cell integrated with the grid. The simulation results of integrated system illustrate the efficacy of the proposed scheme.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122673353","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
Prediction of Lung Cancer using Convolution Neural Networks 使用卷积神经网络预测肺癌
2023 International Conference on Artificial Intelligence and Smart Communication (AISC) Pub Date : 2023-01-27 DOI: 10.1109/AISC56616.2023.10085058
Aanchal Vij, K. Kaswan
{"title":"Prediction of Lung Cancer using Convolution Neural Networks","authors":"Aanchal Vij, K. Kaswan","doi":"10.1109/AISC56616.2023.10085058","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085058","url":null,"abstract":"Lung cancer is one of the deadly diseases whose prediction is required to reduce the death rate. So, Artificial intelligence is used on CT scan images are used for achieving better accuracy in an automated manner. Deep Learning is one of the emerging trends for predicting values. Convolution Neural Networks is one of the deep learning algorithms which implemented to sample produces better outcomes as compared to other machine learning algorithms. In this paper, the data-set hasbeen taken with 1000 images of chest scans for different types of lung cancers such as Adenocarcinoma, Large Cell Carcinoma andSquamous Cell Carcinoma. Multiple machine learning algorithmshas been compared and then it has been confirmed that CNN is one of the best among all to check the accuracy of the prediction. The paper includes VGG - 16 implemented on data set having different types of Lung Cancer and thus helping to check the severity and precautions for the same in a distinct manner.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122905338","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 Survey on Malware Classification using Deep Learning Techniques 基于深度学习技术的恶意软件分类研究综述
2023 International Conference on Artificial Intelligence and Smart Communication (AISC) Pub Date : 2023-01-27 DOI: 10.1109/AISC56616.2023.10085625
E. Vani, P. Prabhavathy
{"title":"A Survey on Malware Classification using Deep Learning Techniques","authors":"E. Vani, P. Prabhavathy","doi":"10.1109/AISC56616.2023.10085625","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085625","url":null,"abstract":"Information technology is emerging at fast phase in present environment. The main concerns for a cyber-attack are Privacy and Security. New malwares are increasing at a very fast rate, according to studies. The war between the attackers and security concerns are needed to protect the system from dangerous and malicious software is a continuous process. Attackers are constantly attempting to avoid Malicious malware signatures that are generally being developed by antivirus vendors. Deep learning architectures are used in cyber security applications to examine the essential properties of sample. Also, emerging DL (Deep Learning) techniques and resources identifies the disadvantages in the current work that is used to represent an image of the current trends in the area, that is also used to provide insights and provide the researchers and developers with the best practices that work on similar issues.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"344 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124250001","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
Classification Techniques for Disease Detection in Plants: A Systematic Review 植物病害检测分类技术综述
2023 International Conference on Artificial Intelligence and Smart Communication (AISC) Pub Date : 2023-01-27 DOI: 10.1109/AISC56616.2023.10085485
Arshleen Kaur, Raman Chadha
{"title":"Classification Techniques for Disease Detection in Plants: A Systematic Review","authors":"Arshleen Kaur, Raman Chadha","doi":"10.1109/AISC56616.2023.10085485","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085485","url":null,"abstract":"Agriculture is the main source of livelihood of the majority of Indian population. Due to the rapid increase of population, the demands for the agricultural products are also increasing at an alarming rate. But the crop yield suffers a lot due to various fungal diseases as the price of agricultural goods goes down. There are number of machine learning and deep learning techniques used for the identification of such diseases. This paper conducted a survey of different methodologies used for diseases prediction by analyzing plant leaves. Such automatic plant disease detection techniques are really helpful in early diagnosis and prevention of disease which in turn enhances agricultural productivity.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125583104","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
Face Recognition Application using MATLAB & Python 基于MATLAB和Python的人脸识别应用
2023 International Conference on Artificial Intelligence and Smart Communication (AISC) Pub Date : 2023-01-27 DOI: 10.1109/AISC56616.2023.10085064
Shivangi Singh, Shrey Bharadwaj, Geetanjali Raj
{"title":"Face Recognition Application using MATLAB & Python","authors":"Shivangi Singh, Shrey Bharadwaj, Geetanjali Raj","doi":"10.1109/AISC56616.2023.10085064","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085064","url":null,"abstract":"The said application will combine the existing algorithms of face detection using MATLAB and Python programming language such as the Voila Jones algorithm and Eigenfaces algorithm, our application will then match the accuracy of several algorithms and then output the one with the best accuracy.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128037053","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
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