2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)最新文献_第3页

SRR Loaded Wideband Antenna 5G Application SRR负载宽带天线5G应用

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760517

Kiran Chand Ravi, V. Slyusar, J. Kumar

引用次数: 2

Game AI using Reinforcement Learning 使用强化学习的游戏AI

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760576

Amogh Sawant, Shahid Shaikh, Dharmesh Sharma

引用次数: 0

IOT based AquaSwach 基于物联网的AquaSwach

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760657

J. Karthiyayini, Arpita Chowdary Vantipalli, Darshana Sailu Tanti, K. Malvika Ravi, Krtin Kannan

{"title":"IOT based AquaSwach","authors":"J. Karthiyayini, Arpita Chowdary Vantipalli, Darshana Sailu Tanti, K. Malvika Ravi, Krtin Kannan","doi":"10.1109/AISP53593.2022.9760657","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760657","url":null,"abstract":"This paper is propelled from the generally existing project which is undertaking under the smart water quality management, which addresses an IoT (Internet of things) based brilliant water quality observing (SWQM) framework which we call it AquaSwach that guides in proper estimation of water condition dependent on five actual parameters i.e., temperature, pH, electric conductivity and turbidity properties and water purity estimation each time you drink water. Six sensors relate to Arduino-Mega in discrete way to detect the water parameters. Extracted data from the sensors are transmitted to a desktop application developed in NET platform and compared with the WHO (World Health Organization) standard values. The system consist of several sensors is used to measuring physical and chemical parameters of the water. The parameters such as temperature, PH, turbidity, flow sensor of the water can be measured. The measured values from the sensors can be processed by the core controller. The Arduino mega model can be used as a core controller. Finally, the sensor data can be viewed on internet using WI-FI system. With the help of a wireless GSM (Global System for Mobile communication), the customer will be informed about the condition of the filter, and the service provider is immediately informed of replacing the filter.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90726117","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

Convolutional GRU Networks based Singing Voice Separation 基于卷积GRU网络的歌唱语音分离

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760616

Harshit Harsh, Akhil Indraganti, S. Vanambathina, Bharat Siva Yaswanth Ramanam, V. S. Chandu, Hari Kishan Kondaveeti

{"title":"Convolutional GRU Networks based Singing Voice Separation","authors":"Harshit Harsh, Akhil Indraganti, S. Vanambathina, Bharat Siva Yaswanth Ramanam, V. S. Chandu, Hari Kishan Kondaveeti","doi":"10.1109/AISP53593.2022.9760616","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760616","url":null,"abstract":"Toned voice study is gaining importance due to advancement in the music industry. The breaking down of toned voice and its backtracking is similar to carrying images from the source domain to the target domain while preserving its content representation. For our case, the mixed voice prints were transformed into their constituent component. The drawback of U-Net convolutional architecture is that the learning rate may come down in the middle layers for deeper models, so there is some risk if the network learning is ignored in some cases where the abstract features are represented in those layers. In this work, we proclaim the methodology CGRUN for the task of singing voice division. It leads to a causal system that is naturally suitable for real-time processing applications. The speech processing application is the segregation of toned voices for voice mixing. Through software evaluation, this experiment confirms the use of CGRUN for toned voice separation. The technical term used for toned voice segregation and its backtracking is Music Information Retrieval (MIR).","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89218479","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

Performance Analysis of Double Gate Junctionless TFET with respect to different high-k materials and oxide thickness 双栅无结TFET在不同高k材料和氧化物厚度下的性能分析

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760584

Pratikhya Raut, U. Nanda, D. Panda, H. Nguyen

引用次数: 0

Detection of lung tumor using SVM and Bayesian classification 基于支持向量机和贝叶斯分类的肺肿瘤检测

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760586

D. Monisha, N. Nelson

引用次数: 1

Weibull Prior based Single Channel Speech Enhancement using Iterative Posterior NMF 基于威布尔先验的迭代后验NMF单通道语音增强

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760648

S. Vanambathina, Vaishnavi Anumola, Ponnapalli Tejasree, Nandeesh Kumar, Rama Prakash Reddy Ch

引用次数: 1

A review of Artificial Intelligence approach for credit risk assessment 信用风险评估的人工智能方法综述

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760655

I. Berrada, Fatimazahra Barramou, O. B. Alami

{"title":"A review of Artificial Intelligence approach for credit risk assessment","authors":"I. Berrada, Fatimazahra Barramou, O. B. Alami","doi":"10.1109/AISP53593.2022.9760655","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760655","url":null,"abstract":"Every day, each bank around the world has to analyze many credit applications from its customers and prospects, individuals, professionals, or companies. Banks develop their rating system based on different parameters but most of them do not take benefit of the tremendous set of Big Data available and gathered continuously. To extract valuable information, Big Data analysis (BDA) and artificial intelligence (AI) lead to interesting applications for the banking industry such as segmentation, customized service, customer relationship management, fraud detection, credit risk assessment, and in all back, middle, and front office missions. This article presents the benefit of artificial intelligence for credit risk assessment. A state of art for the actual research advance is discussed concerning this specific item. To handle this review, we first focused on the keywords to capture and analyze the available articles of experts. We limited the period from 2016 to 2021 to skim the recent advances. Researchers have explored different methods with feature selection, classification, and prediction. Algorithms of Data mining, machine learning (supervised and unsupervised), and deep learning (artificial neural networks) are very different and tackle various aspects to be explored. With these advances, banks can become smart and propose a better and quicker service while preserving themselves from losses due to credit defaulters. Support vector machine, Catboost, decision tree, and logistic regression have delivered interesting results according to the studied researches.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82260305","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: 2

Graph Convolutional Networks for Predicting State-wise Pandemic Incidence in India 用于预测印度各邦流行病发病率的卷积网络图

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760527

S. Sriraman, R. Manjunathan, Nethraa Sivakumar, S. Pooja, Nikhil Viswanath

引用次数: 0

Facemask Detection using Convolutional Neural Networks (CNN) 卷积神经网络(CNN)面罩检测

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760667

Ch Madhurya, Ajith Jubilson E, Goutham N

{"title":"Facemask Detection using Convolutional Neural Networks (CNN)","authors":"Ch Madhurya, Ajith Jubilson E, Goutham N","doi":"10.1109/AISP53593.2022.9760667","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760667","url":null,"abstract":"In last quarter of 2019, Corona Virus Disease (COVID-19), has flared up globally due to which many organizations and institutions are suffering and practically they are going to be closed if the current scenario does not change. COVID-19 is an transmissible disease causes due to Serious Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2), which spreads from small liquid particles released from mouth or nose of an infected person. With this virus, anyone can get sick and become seriously ill or even die at any age. The best way to protect our self and others is by wearing a properly fitted facemask, washing hands regularly or frequently rubbing your hands by using an alcohol-based sanitizer and the way is to get vaccinated when ones turn comes. The proposed study uses Convolutional Neural Networks (CNNs) which is a technique of deep learning is used for classification by processing images. This study uses deep learning techniques for identifying if the person is with proper facemask or with no facemask from live video streams. For training the model the dataset is collected kaggle repository which contains 2000 images and attained an accuracy of 98.2% while training the model. The created system is put into action with the help of openCV, python and mobileV2 architecture v2 for recognizing the persons who are wearing and not wearing the facemasks.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80504470","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