2023 6th International Conference on Information Systems and Computer Networks (ISCON)最新文献_第3页

Multi-class & binary classification of Parkinson’s disease and SWEDD variants using SBR features derived from SPECT imaging 利用SPECT成像衍生的SBR特征对帕金森病和SWEDD变体进行多分类和二分类

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112104

Nikita Aggarwal, B. S. Saini, Savita Gupta

{"title":"Multi-class & binary classification of Parkinson’s disease and SWEDD variants using SBR features derived from SPECT imaging","authors":"Nikita Aggarwal, B. S. Saini, Savita Gupta","doi":"10.1109/ISCON57294.2023.10112104","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10112104","url":null,"abstract":"Parkinson’s disease (PD) becomes the second most common disease and is caused by the loss of dopamine neurons. It is very challenging to detect the disease at an early stage and the chances of misdiagnosis are high due to the similarity of symptoms to other disorders. Therefore, this paper proposed a deep learning-based automatic deep neural network (DNN) model for diagnosing disease as early as possible. The binary and multiclass classifications have been done among three classes (PD, SWEDD, and Healthy people) by using SBR features of SPECT modality. Even also compared the results of the proposed model of both classification categories with other highly used machine learning algorithms (Support vector machines, Naive Bayes, k-nearest neighbors, and decision trees) in literature. From the outcomes, it has been observed that the proposed DNN model provided the highest accuracy in comparison with other classifiers i.e. 97.67%, 83.43%, 94.46%, & 83.18% for PD vs Healthy, SWEDD vs Healthy, PD vs SWEDD, and PD vs SWEDD vs healthy classification probabilities respectively. Hence, this automatic DNN classifier may aid professionals to diagnose the disease in an early stage.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"1 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132331447","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

Study of under-water Sonar System for change in propagation speed, depth of water, bottom loss and estimating optimal PDFs 水下声纳系统传播速度、水深、底损变化及最佳pdf值估计的研究

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112071

Arvind Kumar, Rampravesh Kumar, M. Chandra, K. Kishore

{"title":"Study of under-water Sonar System for change in propagation speed, depth of water, bottom loss and estimating optimal PDFs","authors":"Arvind Kumar, Rampravesh Kumar, M. Chandra, K. Kishore","doi":"10.1109/ISCON57294.2023.10112071","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10112071","url":null,"abstract":"Underwater Acoustic Communication with Low Probablity of Detection(UWAC-LPD) is a significant technology, especially for military application as it helps the transmitter or receiver to stay undetected. Many studies have suggested that UWAC-LPD has comparatively low impact of marine lives as compared to traditional techniques and hence its application is extended to civilian use too. This has led to numerous research in this domain. In this work, the focus is to understand the variation of received pulses for change in propagation speed, depth of water and bottom loss. Both shallow and deep waters environments were used to send and receive the acoustic pulses. Two distinct targets in shallow water were found by an active sonar system using a rectangular waveform. The received signal showed evidence of several paths. The ‘Munk’ sound speed profile was then used to transfer pulses in deep water between a projector and hydrophone utilizing pathways created by Bellhop. The effects of spatially variable sound speed were observed.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"45 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131029963","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

Implementation and Comparison of Artificial Intelligence Techniques in Software Testing 软件测试中人工智能技术的实现与比较

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112041

Isha Verma, Deepak Kumar, R. Goel

{"title":"Implementation and Comparison of Artificial Intelligence Techniques in Software Testing","authors":"Isha Verma, Deepak Kumar, R. Goel","doi":"10.1109/ISCON57294.2023.10112041","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10112041","url":null,"abstract":"AI is a prominent innovation of the current digital world. It powers most of the cutting-edge digital devices. It is a blend of unique technologies from machine learning (ML) to mixed reality (MR), and more. AI has significantly touched many sectors including healthcare, life sciences, manufacturing, retail, and agriculture. AI, as many expect, is going to be the future of the computing world. Artificial Intelligence has been a boon to the software industry as well. The software testing area has been highly touched by AI. Any applications that are built, need to be tested before providing it to the client. It becomes tedious if it’s a complex timebound application. Manual testing in those scenarios doesn’t seem to be a feasible solution. Although test automation has been incorporated in many companies, they aren’t efficient in all cases. AI, on the other hand, helps test the applications effectively. Machine learning and deep learning technologies of AI are playing a crucial role in training and inferring massive amounts of data resulting in faster testing of the application. In this paper, we discuss the implementation and comparison of machine learning and deep learning techniques in Software Testing.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132139778","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

Factors Affecting Consumer Behaviour during COVID-19:A Case Study in Bangladesh COVID-19期间影响消费者行为的因素:以孟加拉国为例

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112165

Farhan Shahriar, Masoud Mohammadian

引用次数: 0

Multi-Station Collaborative Analysis of Earthquake Precursors Considering Data Missing 考虑数据缺失的地震前兆多站协同分析

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112082

Fei Ge, Yongming Huang, Leyuan Chen, Yi Xie

引用次数: 0

An Intelligent and Adaptive Multipath Routing Scheme for Mobile Ad Hoc Network 一种移动Ad Hoc网络智能自适应多径路由方案

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112112

P. Pandey, Raghuraj Singh

引用次数: 0

CNN-LSTM Based Approach for Sleep Apnea Detection 基于CNN-LSTM的睡眠呼吸暂停检测方法

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112203

Nakul Saroha, Mihir Aryan, Mayank Singh, Anurag Goel

引用次数: 0

A Ten Year bibliometric analysis of Internet of Things (IoT) from 2011 to 2020 2011 - 2020年物联网(IoT)十年文献计量分析

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/iscon57294.2023.10112032

S. K. Yadav

引用次数: 0

Residual Steganography: Embedding Secret Data in Images using Residual Networks 残差隐写术:利用残差网络在图像中嵌入秘密数据

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112114

Vara Prasad Reddy Poluri, Suryanarayana Gunnam, Bhavya Maredi, Manoj Kumar Beeraboina

{"title":"Residual Steganography: Embedding Secret Data in Images using Residual Networks","authors":"Vara Prasad Reddy Poluri, Suryanarayana Gunnam, Bhavya Maredi, Manoj Kumar Beeraboina","doi":"10.1109/ISCON57294.2023.10112114","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10112114","url":null,"abstract":"All the residing image steganography methods depicts the problem of degradation, low capacity. In order to overcome this problem, we introduce an encoder decoder based residual network along with convolutional neural network to conceal one image into another. This paper presents a novel approach to image steganography in the residual domain. Traditional image steganography techniques typically involve embedding information directly into the image data, which can often lead to noticeable artifacts or degradation of the image quality. To evaluate the effectiveness of our approach, we conducted a series of experiments using a large dataset of natural images. Our results show that our approach is able to conceal a significant amount of secret data with minimal impact on the visual quality of the image. Moreover, our method is robust against various steganalysis techniques, making it suitable for secure communication applications. Overall, our proposed approach represents a promising direction for image steganography in the residual domain.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114362543","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

Emotions Classification Framework based on Facial Expressions 基于面部表情的情绪分类框架

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112163

Surendra Pratap Tomar, Harshit Bhardwaj, S. Shekhar

引用次数: 0