2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)最新文献

Exposition of E-Healthcare and E-Referral Systems and the role of Machine Learning 展示电子医疗保健和电子转诊系统以及机器学习的作用

2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST) Pub Date : 2022-12-09 DOI: 10.1109/AIST55798.2022.10065309

Shivangi Batra, Bhawna Narwal, Amar Kumar Mohapatra

引用次数: 0

Towards Real Time Hardware Based Human and Object Detection: A Review 基于实时硬件的人与物检测:综述

2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST) Pub Date : 2022-12-09 DOI: 10.1109/AIST55798.2022.10064933

Jagrati Gupta, Shobha Sharma

引用次数: 0

A Swarm Intelligence Based Community Detection Algorithm in Social Networks 基于群体智能的社交网络社区检测算法

2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST) Pub Date : 2022-12-09 DOI: 10.1109/AIST55798.2022.10065333

Deepjyoti Choudhury, T. Acharjee

引用次数: 0

Early Detection of Diabetic Foot Ulcers through Wearable Shoe Design 通过可穿戴鞋设计早期发现糖尿病足溃疡

2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST) Pub Date : 2022-12-09 DOI: 10.1109/AIST55798.2022.10065150

V. Vijean, S. Mohammed, Razi Ahmad, Wan Amiza Amneera Wan Ahmad, R. Santiagoo, Abdul Ghapar Ahmad, R. Palaniappan

{"title":"Early Detection of Diabetic Foot Ulcers through Wearable Shoe Design","authors":"V. Vijean, S. Mohammed, Razi Ahmad, Wan Amiza Amneera Wan Ahmad, R. Santiagoo, Abdul Ghapar Ahmad, R. Palaniappan","doi":"10.1109/AIST55798.2022.10065150","DOIUrl":"https://doi.org/10.1109/AIST55798.2022.10065150","url":null,"abstract":"Diabetes Mellitus is categorized as a chronic metabolic disease where blood glucose levels are abnormal. Diabetic foot ulcer is a complication often associated with this disease. Diabetes foot ulcer is also commonly known as diabetes foot pain. It is a type of foot damage medical condition that progresses from diabetes mellitus. According to scientific data, almost 15% of diabetes patients may develop diabetes foot ulcer in their lifetime [1]. A foot ulcer is an open wound that commonly found under the feet, it can be a shallow open wound on the surface of the skin (less severe) or it can be a deep wound which exposes bones, tendons and joints [2]. However, if early prevention is carried out, diabetes patients might be able to avoid problems from diabetes foot ulcer. Thus, in this study, a wearable shoe prototype for early detection of foot ulcers is proposed to be used in home. The developed device will be associated with temperature sensor, vibration motor and pressure sensor. This device enables diabetes patients to carry out evaluation on their foot in daily life. With this device, early symptoms of foot ulcer can be detected and the seriousness of foot ulcer can be monitored.","PeriodicalId":360351,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126375409","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

Computation Analysis for Identifying the Protagonist and Antagonist and their Sentiments in Harry Potter Books 《哈利·波特》系列小说中主人公与反派及其情感识别的计算分析

2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST) Pub Date : 2022-12-09 DOI: 10.1109/AIST55798.2022.10065317

D. Tayal, Sonakshi Vij, Divya Arora, Bhavna Meena, P. Jain, Kritik Sharma

引用次数: 0

Daltonizer: A CNN-based Framework for Monochromatic and Dichromatic Color-Blindness Daltonizer:一个基于cnn的单色和二色色盲框架

2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST) Pub Date : 2022-12-09 DOI: 10.1109/AIST55798.2022.10065004

Dhruv Rathee, S. Mann

{"title":"Daltonizer: A CNN-based Framework for Monochromatic and Dichromatic Color-Blindness","authors":"Dhruv Rathee, S. Mann","doi":"10.1109/AIST55798.2022.10065004","DOIUrl":"https://doi.org/10.1109/AIST55798.2022.10065004","url":null,"abstract":"Color blindness is a condition in which an individual has difficulty distinguishing between certain colors or perceiving them correctly. Human eyes consist of color-delicate cells that are responsible for providing the information required by the brain to produce the ‘discerned’ color in an individual’s visible spectrum. These cells that are sensitive to different colors respond differently to various light wavelengths. The cells can’t be rectified in any way. This suggests color blindness cannot be cured. The primary focus of this research is on the following types of color deficiencies including complete color-blindness and dichromatic color-blindness—red-green, blue-yellow. In this paper, the authors use Image-Processing-Techniques (IPT) to make Ishihara-Test-Images (a test to identify partial and total color deficiency) perceptible to people with color-vision difficulties. The use of advanced image processing techniques (IPT) and mathematical operations on the pixels of an image can solve vision defects. To demonstrate this, a convolutional neural network (CNN) was designed and trained on the MNIST dataset to enhance color perception for individuals with achromatopsia.","PeriodicalId":360351,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132219918","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

Regression Testing Approaches, Tools, and Applications in Various Environments 各种环境中的回归测试方法、工具和应用

2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST) Pub Date : 2022-12-09 DOI: 10.1109/AIST55798.2022.10064753

Vinita Tomar, M. Bansal, Pooja Singh

{"title":"Regression Testing Approaches, Tools, and Applications in Various Environments","authors":"Vinita Tomar, M. Bansal, Pooja Singh","doi":"10.1109/AIST55798.2022.10064753","DOIUrl":"https://doi.org/10.1109/AIST55798.2022.10064753","url":null,"abstract":"In the entire process of developing software, the very crucial aspect is to perform a rigorous testing of the software. Regression testing is a kind of software testing that makes sure an application continues to work as intended even after upgrades, modifications, or improvements to the code. Regression testing evaluates revised software to ensure that the program's altered sections do not cause unforeseen obstacles. When there is a continual transition in the program, this test is critical. This paper discusses regression testing significance, approaches, and the latest tools. As we all know, the most crucial phase of the life cycle of a software development process is the maintenance phase. The core team of developers is responsible for maintaining the product that they provide to their clients during this phase only. Regression tests are needed after the software has been revised. This paper includes a lot of accessible regression testing approaches as well as their categories. The concept of selecting test cases, minimizing test cases, and then prioritizing the same by executing regression testing on them is included in regression testing methodologies and classifications. The emergence of new technology has also technically allowed the education sector to expand. The paper also discusses the significance of regression testing and its use in different environments.","PeriodicalId":360351,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130958642","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

Using AI and IoT to assess the efficacy of English-language curricula in higher education: A Proposed Method 利用人工智能和物联网评估高等教育英语课程的有效性:一种建议方法

2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST) Pub Date : 2022-12-09 DOI: 10.1109/AIST55798.2022.10065284

Akanksha Pandey, Arun Singh, Gurasis Singh, Manik Rakhra

{"title":"Using AI and IoT to assess the efficacy of English-language curricula in higher education: A Proposed Method","authors":"Akanksha Pandey, Arun Singh, Gurasis Singh, Manik Rakhra","doi":"10.1109/AIST55798.2022.10065284","DOIUrl":"https://doi.org/10.1109/AIST55798.2022.10065284","url":null,"abstract":"The world has entered the Internet + era as a result of the rapid development of information technology. To solve the current education crisis, universities and colleges must update their English curricula to reflect the demands of their students. Strengthening Internet + era awareness and reconstructing Internet + era resource advantages and technology advantages are both necessary given the Internet + era's characteristics. The current English teaching mode in colleges and universities has resulted in a number of positive changes, including a revitalization of college English instruction, the establishment of college English instruction that is better suited for the new era, and a significant increase in the efficiency with which college English instruction is carried out. The evaluation of English teachers in higher education classrooms is a hot topic right now. As a first step, it's important to note that both teachers and students care deeply about students' performance on the mandatory English examination. The rapid growth of distance network teaching using computers as its backbone has made it possible to present a wealth of video and audio teaching resources to students via the internet; this has helped to broaden the scope of online education and, in turn, advance the goals of digitalization, lifelong learning, and other reforms in the field of education. To begin, this article provides a concise summary of the issues of low efficacy, and inconsistent competence, as well as the discordant relationship between evaluation and instruction in contemporary college English.","PeriodicalId":360351,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)","volume":"331 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133465067","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 novel convolutional neural network architecture for diabetic retinopathy screening 一种新的用于糖尿病视网膜病变筛查的卷积神经网络架构

2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST) Pub Date : 2022-12-09 DOI: 10.1109/AIST55798.2022.10065181

Ruchika Bala, Arun Sharma, Nidhi Goel

{"title":"A novel convolutional neural network architecture for diabetic retinopathy screening","authors":"Ruchika Bala, Arun Sharma, Nidhi Goel","doi":"10.1109/AIST55798.2022.10065181","DOIUrl":"https://doi.org/10.1109/AIST55798.2022.10065181","url":null,"abstract":"Diabetic retinopathy (DR) is a diabetes complication prevailing worldwide that may affect eye vision. Manual DR diagnosis is a tedious and complex task; thus, an automated approach is needed to cater to the need of people across the world. A lot of automated approaches have been developed in the recent past for DR classification. Most of these approaches are computationally expensive and involve a lot of pre-processing techniques or transfer learning-based algorithms. The present work focuses on developing a computationally-effective approach with high performance for DR classification. The present work proposes a novel lightweight convolutional neural network (CNN) based DR binary classification model using shortcut connections to reuse the features of previous convolution layers. The proposed model is computationally effective and requires 1.137M (Million) parameters, which is much less than the existing approaches. The experimental study is executed on the APTOS dataset. The parametric evaluation of the proposed model is also analysed with several transfer learning-based approaches. The model obtained 0.9754 (classification accuracy and sensitivity), 0.9666 (specificity), 0.9755 (precision), 0.9747 (F-1 score), 0.97 (AUC), and 0.9509 (kappa score) with APTOS. The cross-dataset validation has been performed on the IDRiD dataset. The proposed model achieved good and consistent performance on both APTOS and IDRiD datasets. (Abstract)","PeriodicalId":360351,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)","volume":"298 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131438051","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

End to End System for Handwritten Text Recognition and Plagiarism Detection using CNN & BLSTM 基于CNN和BLSTM的手写文本识别和抄袭检测端到端系统

2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST) Pub Date : 2022-12-09 DOI: 10.1109/AIST55798.2022.10064985

Gaurav Mukesh Shipurkar, Rishil Ripal Sheth, Tanish Ashok Surana, Kunal Nirav Shah, R. Garg, P. Natu

引用次数: 1