2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)最新文献

Deep Learning-Based Brain Tumor Classification Prototype Using Transfer Learning 基于迁移学习的深度学习脑肿瘤分类原型

2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS) Pub Date : 2023-02-01 DOI: 10.1109/AICAPS57044.2023.10074201

Binju Saju, Laiby Thomas, Fredy Varghese, Arpana Prasad, Neethu Tressa

引用次数: 3

Feature Selection using Enhanced Nature Optimization Technique 基于增强自然优化技术的特征选择

2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS) Pub Date : 2023-02-01 DOI: 10.1109/AICAPS57044.2023.10074104

D. Tayal, Neha Srivastava, Neha

{"title":"Feature Selection using Enhanced Nature Optimization Technique","authors":"D. Tayal, Neha Srivastava, Neha","doi":"10.1109/AICAPS57044.2023.10074104","DOIUrl":"https://doi.org/10.1109/AICAPS57044.2023.10074104","url":null,"abstract":"An essential study issue now is the preference of highly discriminative traits from a huge feature collection. By eliminating a significant number of noisy, redundant features, this has the potential to enhance classification performance while lowering the cost of system diagnostics. A feature selection process has been implemented using nature-inspired algorithms. Each of these algorithms needs its starting population to be initialized, and how well that initialization is done has a big impact on the outcome. This paper presents a newly hybrid nature-inspired Algorithm which is comprised by Harris-hawk Algorithm with Visual Geometry Group for selection of traits on High-Dimensional-datasets. Our main idea is to overcome the overfitting issue of feature selection and also overcome convergence problem arise in nature inspired algorithm by introducing visual geometry group Convolution neural network based deep neural network. Then, we compared our upgraded approach to the most significant nature-inspired optimization technique to show that our technique is more accurate and categorized using the Acute lymphoblastic leukemia & Breast cancer High Dimensional datasets.","PeriodicalId":146698,"journal":{"name":"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115920563","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

Feature Selection using Generalized Linear Model for Machine Learning-based Sepsis Prediction 基于机器学习的脓毒症预测的广义线性模型特征选择

2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS) Pub Date : 2023-02-01 DOI: 10.1109/AICAPS57044.2023.10074523

Mohammed Ashikur Rahman, Adamu Abubakar Ibrahim, A. Tumian

{"title":"Feature Selection using Generalized Linear Model for Machine Learning-based Sepsis Prediction","authors":"Mohammed Ashikur Rahman, Adamu Abubakar Ibrahim, A. Tumian","doi":"10.1109/AICAPS57044.2023.10074523","DOIUrl":"https://doi.org/10.1109/AICAPS57044.2023.10074523","url":null,"abstract":"Sepsis is a life-threatening condition of patients in an intensive care unit. Early sepsis detection can reduce the mortality rate and cost of treatment among the patients of the Intensive care unit (ICU). Machine Learning-based model can be used to predict sepsis early using Electronic Health Record (EHR) which consists of big data. Features selection plays a vital role for reducing overfitting and the accuracy of the ML-based prediction model. In this paper, Generalized Linear Model (GLM) was used to select the significant features related to sepsis using MIMIC-III dataset which is a rational database that contains ICU patient’s data at Beth Israel Deaconess Medical center. In addition, developed a sepsis prediction model using Artificial Neural Network (ANN) and Random Forest (RF) and validated those models using confusion matrix. After that, clinical severity scores were also calculated with the same dataset. Finally, compared the Area Under the Receiver Operating Characteristic (AUROC) between ML-based model and clinical severity score. The accuracy of ML-based prediction model with GLM is better than clinical severity scores like SOFA, qSOFA and SIRS.","PeriodicalId":146698,"journal":{"name":"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130959458","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

Machine Learning Based Patient Classification In Emergency Department 基于机器学习的急诊科患者分类

2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS) Pub Date : 2023-02-01 DOI: 10.1109/AICAPS57044.2023.10074003

Mehanas Shahul, P. P

引用次数: 1

Smart Irrigation Management System for Precision Agriculture 精准农业智能灌溉管理系统

2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS) Pub Date : 2023-02-01 DOI: 10.1109/AICAPS57044.2023.10074171

D. Sarath Chandra, Gagandeep Kaur, Mahua Bhattacharya

引用次数: 2

MSCAUNet-3D: Multiscale Spatial Channel Attention 3D-UNet for Lung Carcinoma Segmentation on CT Image MSCAUNet-3D:用于肺癌CT图像分割的多尺度空间通道关注3D-UNet

2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS) Pub Date : 2023-02-01 DOI: 10.1109/AICAPS57044.2023.10074322

S. Poonkodi, M. Kanchana

{"title":"MSCAUNet-3D: Multiscale Spatial Channel Attention 3D-UNet for Lung Carcinoma Segmentation on CT Image","authors":"S. Poonkodi, M. Kanchana","doi":"10.1109/AICAPS57044.2023.10074322","DOIUrl":"https://doi.org/10.1109/AICAPS57044.2023.10074322","url":null,"abstract":"The lung segmentation process plays a vital role in diagnosing lung carcinoma. Segmentation techniques segment the lung region and remove the borders, blood vessels, and void spaces in the CT images. For segmentation, segmenting the highlighted vital features and suppressing the unwanted features is important. In the paper, we proposed the new segmentation techniques combined with an attention mechanism to achieve accurate segmentation. In this model, we introduced the multiscale spatial and channel attention mechanism with the 3D-UNet model named MSCAUNet-3D. this model performs two stages: pre-processing and segmentation. In pre-processing, adaptive Histogram Equalization (AHE) and Gaussian Adaptive Bilateral Filter (GABF) are utilized for removing noise and enhancing the image. In segmentation, we introduce the MSCAUNet-3D for accurate segmentation. To evaluate this model, Dice Coefficient (DC), Jaccard Similarity Coefficient or Index (JI), and Relative Absolute Volume Difference (RAVD) performance measures are utilized. The proposed model yields 91.4, 90.4, and 89.4 in DC, JI, and RAVD, respectively, which shows that the proposed model outperforms the other models.","PeriodicalId":146698,"journal":{"name":"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124116809","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 Deep Learning based Approach to Stock Market Price Prediction using Technical indicators 基于深度学习的技术指标股票市场价格预测方法

2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS) Pub Date : 2023-02-01 DOI: 10.1109/AICAPS57044.2023.10074445

Nirupama Parida, Bunil Kumar Balabantaray, R. Nayak, Jitendra Kumar Rout

引用次数: 0

Covid-19 crowd detection and alert system using image processing 基于图像处理的新型冠状病毒人群检测预警系统

2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS) Pub Date : 2023-02-01 DOI: 10.1109/AICAPS57044.2023.10074221

Nitin Lodha, Harshvardhan Singh Gahlaut

{"title":"Covid-19 crowd detection and alert system using image processing","authors":"Nitin Lodha, Harshvardhan Singh Gahlaut","doi":"10.1109/AICAPS57044.2023.10074221","DOIUrl":"https://doi.org/10.1109/AICAPS57044.2023.10074221","url":null,"abstract":"In this paper, we aim to help in identifying the people that are violating social distancing norms set by the government (necessary during the COVID-19 pandemic in public places), by providing an efficient real-time deep learning-based framework to automate the process of monitoring the social distancing via object detection and tracking approaches. Our system is divided into two subsystems: one that deals with crowd detection and control, and the other that sends information to the police authorities. Our system technologies, including as IoT, image processing, web cams, BLE, OpenCV, and Cloud, are being considered for inclusion in the proposed framework. The image processing is divided into two sections, the first of which is the extraction of frames from real-time movies, and the second of which is the processing of the frame to determine the number of individuals in the crowd. Even in a crowd, dissemination may be restricted if people adhere to social distancing standards. As a result, the image processing model primarily targets the number of people who do not adhere to social distancing norms and stand too close together.","PeriodicalId":146698,"journal":{"name":"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123350693","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

IoT Based Smart Irrigation and Farm Protection System 基于物联网的智能灌溉和农田保护系统

2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS) Pub Date : 2023-02-01 DOI: 10.1109/AICAPS57044.2023.10074143

S. Shilaskar, S. Bhatlawande, Jayesh B. Deshmukh, Shreya A. Dehankar

{"title":"IoT Based Smart Irrigation and Farm Protection System","authors":"S. Shilaskar, S. Bhatlawande, Jayesh B. Deshmukh, Shreya A. Dehankar","doi":"10.1109/AICAPS57044.2023.10074143","DOIUrl":"https://doi.org/10.1109/AICAPS57044.2023.10074143","url":null,"abstract":"All over the world, agriculture is crucial to the growth of the food industry. Agriculture in our nation is dependent on the monsoons, which are insufficient water sources. So, we have to use fully mechanized irrigation in agriculture. For giving crops enough water without squandering it. And all we know Animals, both domestic and wild, frequently destroy the crops on farms, and one reason for this is the crops’ low production. In this generation where all peoples do multiple works where, it is not possible for people to follow the traditional method of protecting the crops and giving sufficient water to the crop, and staying awake at all times on the farm for protecting crops from animals. so, by using some sensors like Soil moisture sensor, PIR sensor, etc to collect all real-time data from the field, collected by Esp8266 (NodeMcu) for further procedure. This system ensures the supply of sufficient water to plants and protects the field from animals. and the whole system will get the electricity supply from the solar panels so there is almost negligible chance of system failure due to electricity.","PeriodicalId":146698,"journal":{"name":"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121446633","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

Blockchain based Secure Erlang Server for Request based Group Communication over XMPP 基于区块链的安全Erlang服务器，用于基于请求的XMPP组通信

2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS) Pub Date : 2023-02-01 DOI: 10.1109/AICAPS57044.2023.10074294

J. C I, M. Vivekanandan, Praveen Kumar Premkamal, R. R

{"title":"Blockchain based Secure Erlang Server for Request based Group Communication over XMPP","authors":"J. C I, M. Vivekanandan, Praveen Kumar Premkamal, R. R","doi":"10.1109/AICAPS57044.2023.10074294","DOIUrl":"https://doi.org/10.1109/AICAPS57044.2023.10074294","url":null,"abstract":"Many real world activities in computer science scenarios are linked with concurrency and security related issues and have to handle large number of processes to be executed in parallel with false safe security solutions. There are many traditional methods in programming languages to handle concurrency. Concurrency is one of the major issues that need to be addressed by most of the servers when dealing with the group communication operations. Security of the data as well as the credibility of the users are the other aspects when a group of users involve in real-time communication. Many light-weighted servers are designed to carryout elementary operations of request handling, file sharing etc. In design of such servers having large number of clients, the request service handling will be based on the individual server programs. Keeping track of individual credibility and establishing concurrency solutions in server design is challenging. The whole work describes the significance and implementation of an Erlang based XMPP server in comparison with a Python based XMPP server with a view to service the client request handling operations for sending messages, group chatting, buddy-list creation, presence identification integrated with XML messaging pattern as per the XMPP protocol. We also accomplish the security and credibility of the users using a blockchain based interface that keep track of user activities during group communication. The security analysis is also performed for blockchain based interface.","PeriodicalId":146698,"journal":{"name":"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)","volume":"515 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125009883","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