2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)最新文献_第5页

A Review on Diagnosis of Lung Cancer and Lung Nodules in Histopathological Images using Deep Convolutional Neural Network 深度卷积神经网络在肺癌及肺结节病理图像诊断中的研究进展

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169738

P. Shimna, A. Shirly Edward, T. Roshini

{"title":"A Review on Diagnosis of Lung Cancer and Lung Nodules in Histopathological Images using Deep Convolutional Neural Network","authors":"P. Shimna, A. Shirly Edward, T. Roshini","doi":"10.1109/ICAIA57370.2023.10169738","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169738","url":null,"abstract":"Lung cancer is a serious health issue that requires early detection. Machine Learning has figured prominently in the health sector in general, and in analyzing histopathological images and detecting illnesses in particular, because it may eliminate many mistakes that may arise when radiologists analyse image data. Traditional healthcare imaging techniques such as x-rays, CT scans, MRIs, and so on have little promise for detecting lung tumours. Convolutional Neural Networks have piqued the interest of doctors and academics due to their ability to analyse images accurately. The current study examines the role of CNN in lung cancer detection. Findings presented in the literature provide prospective researchers with a deeper understanding of the issue. We examined most of the features and includes extensive recommendations for future study. The primary purpose of this study is to detect malignant lung nodules in a lung image and to categorize pulmonary cancer. This work concentrates on novel Deep Learning techniques used in literature to locate cancerous lung nodules.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130305988","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

An Analysis of Situational Intelligence for First Responders in Military 军事应急人员态势情报分析

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169306

R. Vallikannu, V. Kanpur Rani, B. Kavitha, P. Sankar

{"title":"An Analysis of Situational Intelligence for First Responders in Military","authors":"R. Vallikannu, V. Kanpur Rani, B. Kavitha, P. Sankar","doi":"10.1109/ICAIA57370.2023.10169306","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169306","url":null,"abstract":"Situational awareness is the sense and knowledge of one’s immediate surroundings. In safety-critical sectors, maintaining situational awareness is essential for performance and error prevention. Situational awareness (SAW) is crucial for the success of activities in many different domains, such as surveillance, humanitarian aid, and search and rescue efforts. SAW is however susceptible to enemy attacks. By giving users enhanced coverage, it increases survivability and mission capability. Recently, Smart gadgets used data to address crisis scenarios and provide real-time tracking to protect law enforcement personnel out in the field. Despite these developments, it might be challenging for first responders to get a precise feel of their surroundings due to an abundance of field data. Security teams need to be able to quickly transform this data into actionable intelligence using a few instruments at their disposal, including body cameras, fingerprint scanners, and facial recognition software. Officers can cut through the noise to acquire actual real-time situational awareness by integrating heterogeneous information into a cohesive platform. Therefore, the proposed work examines potential mitigation measures while considering hostile threats and assaults against SAW systems. Additionally, information and alarms can be instantly sent between operators and field officers using vital interface features. The optimization of the AutoML system is proposed for fusion of sensor data. AutoML classification with Bayesian and ASHA (Asynchronous successive halving algorithm) is used for situational forecasting and decision-making awareness, IoT is used to monitor data gathered from Kaggle and sensor readings, while thingspeak cloud is used to monitor sensor output.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121315109","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

Trust Value-Based Energy-Efficient Routing Protocol to Improve Lifetime in Heterogeneous WBAN 基于信任值的高效路由协议提高异构WBAN的生存期

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169521

T. Saravanan, D. Vinotha

{"title":"Trust Value-Based Energy-Efficient Routing Protocol to Improve Lifetime in Heterogeneous WBAN","authors":"T. Saravanan, D. Vinotha","doi":"10.1109/ICAIA57370.2023.10169521","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169521","url":null,"abstract":"Pervasive computation plays an integral part in WBANs. Along with pervasive methodologies, bio-sensors are available in a range of shapes and sizes, and depending on the state of the patient, multiple sensors can be inserted in, on, or around the human body to monitor, store, and relay vital signs for further investigation, judgments, and treatment. The tracking of patients’ vital signs, as well as the time it takes to generate results, are essential components of the WBAN’s integration into ubiquitous computing technologies. To ensure low power consumption, high precision of collected data, low latency, high efficiency, higher throughput with efficient bandwidth utilization, and synchronization with other systems and at the same time data must be stored and exchanged with care. To function successfully, a WBAN must first measure the quantity of electricity the device utilizes and then impose energy-efficient operating strategies. Current routing processes, such as the Stable Increased-Throughput Multi-hop Protocol for Link Efficiency (SIMPLE) and Mobility-supporting Adaptive Threshold-based Thermal-aware Energy-efficient Multi-hop Protocol (M-ATTEMPT), can be employed in WBANs by incorporating confidence measures into both the sensor data being monitored and the power levels needed for effective data broadcast to reach the sink. In contrast to Expected Transfers (ETX), this protocol avoids continuous communications and only forwards data of interest to the sink, resulting in minimal power usage and thereby increasing network reliability time, overall network lifetime, throughput, and end to end latency to 0.915 mw, 290 bits/s, and 250 ms, respectively.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125900738","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

Visual Question Answering Optimized Framework using Mixed Precision Training 基于混合精确训练的视觉问答优化框架

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169318

Souvik Chowdhury, B. Soni

{"title":"Visual Question Answering Optimized Framework using Mixed Precision Training","authors":"Souvik Chowdhury, B. Soni","doi":"10.1109/ICAIA57370.2023.10169318","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169318","url":null,"abstract":"Thanks to the emergence and continued devel-opment of machine learning, particularly deep learning, the research on visual question and answer, also known as VQA, has advanced dramatically, with great theoretical research significance and practical application value. This field of study makes use of multimodal learning, computer vision, and natural language processing techniques. Except for a few academics who presented different types of optimized bi-linear fusion approaches that integrate text and image characteristics in an efficient way, there haven’t been many efforts to optimize the VQA framework. In order to optimize the VQA problem, we offer a unique Visual Question Answering framework in this research. Because both 16-bit and 32-bit floating points provide automatic mixed precision, deep learning architectures can now be optimized with less computation and execution time. Using the VQA 2.0 and CLEVR datasets, the proposed framework has been tested against two models. In terms of overall accuracy and execution time, the experimental findings demonstrated a significant improvement.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125465229","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

Hybrid Model for Email Spam Prediction Using Random Forest for Feature Extraction 基于随机森林特征提取的垃圾邮件预测混合模型

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169126

Hardik Saini, K. S. Saini

{"title":"Hybrid Model for Email Spam Prediction Using Random Forest for Feature Extraction","authors":"Hardik Saini, K. S. Saini","doi":"10.1109/ICAIA57370.2023.10169126","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169126","url":null,"abstract":"With the advancement in world wide web, the way to communicate among individuals, via internet, is changed and thus, various platforms become popular such as email. Numerous organizations and people make the deployment of email as major sources of communication. This platform is extensively utilized in spite of alternative means, such as electronic messages, and social networks. However, this technology is more prone to malicious activities. The malicious users target this free mail structure and send a huge number of useless messages, for attaining revenues, or stealing personal data or IDs, to harm its users. Thus, there is necessity to discover the methods for detecting the email spam. The spam is detected in email in different phases in which the data is pre-processed, features are extracted, and the mails are classified. This work introduced a new model to predict the email spam. This approach implements the random forest in order to extract the features. Eventually, the spam is predicted using logistic regression model. The proposed model is implemented in python using anaconda.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130720839","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

Proposed Model for Prediction of Stock Market Price of Netflix 奈飞公司股票市场价格预测模型

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169347

P. Patwal, Amit Kumar Srivastava

引用次数: 0

Facial Image Super Resolution and Feature Reconstruction using SRGANs with VGG-19-based Adaptive Loss Function 基于vgg -19自适应损失函数的srgan面部图像超分辨率与特征重建

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169373

H. S. Shashank, Aniruddh Acharya, E. Sivaraman

引用次数: 1

Web Server Security Solution for Detecting Cross-site Scripting Attacks in Real-time Using Deep Learning 利用深度学习实时检测跨站脚本攻击的Web服务器安全解决方案

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169255

Monika Sethi, J. Verma, Manish Snehi, Vidhu Baggan, Virender, Gunjan Chhabra

{"title":"Web Server Security Solution for Detecting Cross-site Scripting Attacks in Real-time Using Deep Learning","authors":"Monika Sethi, J. Verma, Manish Snehi, Vidhu Baggan, Virender, Gunjan Chhabra","doi":"10.1109/ICAIA57370.2023.10169255","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169255","url":null,"abstract":"Cross-Site Scripting (XSS) represents one of the most prevalent application layer attacks perpetrated by an attacker, a client, and the web server. Cyber-attacks steal clients’ cookies / sensitive details and therefore associate the client with the web. Filtering user data in server-side scripts like ASP (Active Server Pages), PHP (Hypertext Preprocessor), or some other web-enabled programming language is a general solution to this which can be found floating around the internet. From the server perspective, we suggest a modular and extensible solution against XSS attack; the extensible solution can be used as an identity management solution for validating the users accessing the web application and testing for correct permissions for various web resources allocated to web users. Using deep learning, the research creates a secure ecosystem that may be used to provide efficient real-time detection and mitigation of cross-site scripting attacks in fog/cloud online applications. In this study, a deep learning model was used to detect XSS attacks, and its output was compared to that of three other deep learning models, namely Multilayer Perceptron, Long Short-Term Memory, and Deep Belief Network. This web-based system utilizes an MLP architecture for deep learning to detect inserted XSS attack scripts in web applications. The effectiveness of the algorithm for deep learning is assessed by utilizing evaluation metrics to evaluate the framework. Employing embedding as a feature, the MLP method performed the best in the evaluation for detecting XSS attacks, attaining an accuracy of 99.47%.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"64 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132703884","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 Comparison of YOLO Based Vehicle Detection Algorithms 基于YOLO的车辆检测算法比较

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169773

Ayush Dodia, Sumit Kumar

{"title":"A Comparison of YOLO Based Vehicle Detection Algorithms","authors":"Ayush Dodia, Sumit Kumar","doi":"10.1109/ICAIA57370.2023.10169773","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169773","url":null,"abstract":"The use of vehicle object detection in intelligent video surveillance and vehicle-assisted driving has expanded as science and technology have advanced. Traditional car object detection algorithms have some limitations in their generalization capacity and recognition rate. The primary goal of this survey is to detect the vehicle, which forms managing crucial traffic data, including vehicle detection, vehicle count, and vehicle movement. This research compares modern object detectors that incorporate traffic situation estimations To determine which version of the YOLO algorithm is the best for detecting the vehicle explained here. Process of the YOLO algorithm the dataset is the first clustered using the clustering analysis approach, and the network structure is improved to increase the vehicle prediction capacity and the final numbers of output grids. In the second process, it maximizes both input image and dataset collection. This research suggests a better vehicle identification technique based on YOLO (You Only Look Once) to address this issue. Three versions of the YOLO (You Only Look Once) algorithm are evaluated to detect the vehicle.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130596731","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

Tech-It-Easy: An Application for Physically Impaired People Using Deep Learning Tech-It-Easy:为残障人士使用深度学习的应用

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169396

Devi Naveen, M. D Nirmala, T. J. T. Maladhkar, M. Serena, Rahmath Mohis

{"title":"Tech-It-Easy: An Application for Physically Impaired People Using Deep Learning","authors":"Devi Naveen, M. D Nirmala, T. J. T. Maladhkar, M. Serena, Rahmath Mohis","doi":"10.1109/ICAIA57370.2023.10169396","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169396","url":null,"abstract":"Physical limitations are and always will be a barrier to daily progress. Technology advancements are assisting everyone in leading simpler lives. Using the same technologies, we can provide a significant and beneficial answer to the issues associated with physical impairment. This essay discusses the use of technology to improve daily life for those who have physical or sensory disabilities. Not just for those who have hearing loss, but also as a tool for those who have speech disability, sign language is a vital means of communication. People without disabilities have a hard time understanding sign language, and specialists are frequently the only ones who can. Hence, a tool for sign language interpretation becomes necessary. Although Braille is a reading and writing system used by people who are blind. Braille is less popular among persons who are visually impaired, as it is time-consuming to manually translate every text into braille. Our study examines the issues raised by these two deficits and looks for technical remedies. Text to audio conversion is a piece of technology that can revolutionize the way visually impaired individuals communicate currently. It is simple and has been done effectively for the past ten years to convert written text to audio. In addition to sign language interpreters, a relatively new concept for assisting the education of the blind is to translate speech into sign language. The technologies stated above are anticipated to significantly improve the daily lives of people with physical disabilities, and this project can be further customized to match any suitable smart object.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131381711","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