2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)最新文献_第4页

Crime Prediction using Machine Learning 使用机器学习进行犯罪预测

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093303

Sankalp Singh, Akshay Gole, Prathmesh Kanherkar, P. Abhishek, Pallavi Wankhede

引用次数: 0

Low Power Address Generator using Improvised Clocking Scheme 采用临时时钟方案的低功耗地址发生器

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093521

K. Bogawar, S. Shriramwar

引用次数: 0

Low Profile Microstrip Patch Antennas for Wearable Medical Imaging Application 用于可穿戴医疗成像应用的低轮廓微带贴片天线

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093443

Kiran Vinodan, Renjith Reghu, Soju Zacharia, Sonia A K, A. John

引用次数: 0

Machine Learning Based Revealing Psychology Destabilization 基于机器学习的揭示心理不稳定

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093279

Shubhangi Dc, BasavarajGadgay, Nuzhat Fatima, M. A. Waheed

{"title":"Machine Learning Based Revealing Psychology Destabilization","authors":"Shubhangi Dc, BasavarajGadgay, Nuzhat Fatima, M. A. Waheed","doi":"10.1109/ICETEMS56252.2022.10093279","DOIUrl":"https://doi.org/10.1109/ICETEMS56252.2022.10093279","url":null,"abstract":"In today’s world, people are experiencing behavioral - and mental illnesses as a consequence of increased stress and pressure in their everyday lives. Anxiety, depression, stress, schizophrenia, and bipolar disorder are just a few instances of mental health issues. Mental disease is accompanied by both physical and emotional symptoms. Based on their actions and thoughts, this study will establish whether or not a person is suffering from mental illness. Panic attacks, sweating, palpitations, sadness, concern, overthinking, mental illness is indicated by symptoms such as delusions and hallucinations, and each symptom represents a different form of mental disorder. Five machine learning methods were utilized for this study: XGBoost, SVM, Logistic Regression, and Decision Tree, KNN. We employed a feature selection strategy that incorporated an additional tree classifier as well as other pre-processing techniques in this work. A machine learning algorithm has been utilized to identify a mental illness based on the symptoms of a patient that use the feature extraction technique.Parameters Recall, Accuracy, Precision, and Fl-score were used to assess the efficacy of machine learning models.","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129790347","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

Object Detection using YOLO to Search Project Details 使用YOLO搜索项目详细信息的对象检测

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093629

Lalit B. Damahe, SamruddhiJadhav, Priyanka Harne, SonamRaut, JagrutiDekate, Aniket G Pathade

{"title":"Object Detection using YOLO to Search Project Details","authors":"Lalit B. Damahe, SamruddhiJadhav, Priyanka Harne, SonamRaut, JagrutiDekate, Aniket G Pathade","doi":"10.1109/ICETEMS56252.2022.10093629","DOIUrl":"https://doi.org/10.1109/ICETEMS56252.2022.10093629","url":null,"abstract":"whenever anyone wants to arrange any exhibition such as painting, science or project, it requires a good number of coordinators to describe an individual’s painting or projects details to the visitors. This manual process has many limitations like arranging of multiple coordinators with the capability of delivering information about a particular project effectively. To overcome this problem, an android based application name Innovation Gallery is proposed, which helps visitors to get the information related to that project as soon as they place the camera in front of object. Before visiting the gallery or exhibition, visitors need to install the proposed application on android mobile phone. Once they place the camera on the respective project of the gallery, it displayed the information related to that project on the mobile screen as augmented text. The proposed approach developed using the YOLO algorithm and successfully tested on image datasets of gallery projects. The given approach is compare with Unity for a similar type of image dataset. It performed well in terms of accuracy, but somewhat lagging in terms of speed.","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133275493","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

Design of IsoQER Cryptosystem using IPDLP 基于IPDLP的IsoQER密码系统设计

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093351

Nilesh P. Bhosale, A. Meshram, R. Pohane, Malabika Adak, Dnyaneshwar Bawane, K. Vishnuvardhan Reddy

引用次数: 1

Modeling of Motion Control Drive in the Mobile Radiographic System 移动射线照相系统运动控制驱动建模

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093683

Shreya Tavare, A. Mane

引用次数: 0

Retinal Damage Detection Using Conv2D Net 基于Conv2D网络的视网膜损伤检测

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093422

R. Khedgaonkar, Anagha Nagrare, Amogh Pande, Aniket Funde, Brajesh Rathi, Ashutosh Bagde

{"title":"Retinal Damage Detection Using Conv2D Net","authors":"R. Khedgaonkar, Anagha Nagrare, Amogh Pande, Aniket Funde, Brajesh Rathi, Ashutosh Bagde","doi":"10.1109/ICETEMS56252.2022.10093422","DOIUrl":"https://doi.org/10.1109/ICETEMS56252.2022.10093422","url":null,"abstract":"In today’s world, eye damage has become common among people with issues like glaucoma, CNV, and other retinal diseases. The retinal image is the basic factor for ophthalmologists to diagnose the different damages in the eye. Traditional eye check-ups are done using an ophthalmoscope or retinoscope. These are the traditional methods wherein the diagnosis is based on the observation of the doctor. To capture a high-resolution cross-section of the retina of patients, the Retinal optical coherence Tomography (OCT) imaging technique was used. OCT images are effective in the display and diagnosis of many retinal conditions. Artificial intelligence (AI) has made a major impact in the domain of medical surgery. In this paper, we have used data consisting of OCT images to identify abnormalities occurring in them compared to a healthy normal eye. We have used Deep learning methods to make effective use of OCT images in processing data and training the model to interpret the type of damage illustrated in it and make decisions based on it. We have proposed to implement a Sequential Model in Keras to detect which retinal damage is present in the OCT image and classify them into four classes- CNV, DME, DRUSEN & NORMAL based on its validation accuracy. To improve the accuracy, we have modified the sets of convolutions with a varied number of layers. We have further tried to increase the validation accuracy by the use of the Sequential model, ResNet50 model, and ResNet50V2 model. Out of all the models that have been used, the Resnet50 model proved to give the highest validation accuracy of97%. The given project would be helpful to Ophthalmologists to give fast, reliable, and efficient diagnoses of the eye with would aid them to begin the treatment of that damage at an early stage.","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122335956","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

Deep Learning and Image Processing Techniques applied in Panoramic X-Ray Images for Teeth Detection and Dental Problem Classification 深度学习和图像处理技术在全景x射线图像中应用于牙齿检测和牙齿问题分类

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093490

D. Shubhangi, Baswaraj Gadgay, Shaziya Fatima, M. A. Waheed

{"title":"Deep Learning and Image Processing Techniques applied in Panoramic X-Ray Images for Teeth Detection and Dental Problem Classification","authors":"D. Shubhangi, Baswaraj Gadgay, Shaziya Fatima, M. A. Waheed","doi":"10.1109/ICETEMS56252.2022.10093490","DOIUrl":"https://doi.org/10.1109/ICETEMS56252.2022.10093490","url":null,"abstract":"Due to its remarkable achievements in detection,prediction, and classification, deep convolutional neural network has gotten huge attention into clinical analysis. Specialists can use panoramic dental radiograph analysis to uncover issues in low-light locations, inside the buccal cavities, or even narrow regions. Weak picture resolution or weariness, on the other hand, can lead the diagnosis to differ, making therapy more difficult. With the help of comprehensive x-ray pictures, the automated tooth detection and dental condition classification method we present in this study, medical practitioners can make more accurate diagnosis decisions. In order to conduct this study, panoramic radiographics from three dental offices were gathered and interpreted, showcasing 14 different potential tooth problems. An annotated dataset was used to train CNN and acquire semantic segmentation data. Then, different image processing methods were applied to segment and fine-tune the bounding boxes corresponding to the teeth defections. The final step involved labelling each tooth sample inside the identified area of interest and using histogram-based majority voting to determine the issues that affected it. Some of the criteria used to assess the developed method included specificity, memory, result for derived bounded area detection, and intersection over union in supervised classification. The outcomes were contrasted with information from different approaches and found to be superior, demonstrating the proposed solutions’ superiority. In addition, tasks such as tooth categorization, identification of illnesses and severe gum disease like periodontitis, and how much cavity cleaning should be done are completed.","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":"232 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126143587","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

Analysis and Simulation of Sound Classification System Using Machine Learning Techniques 基于机器学习技术的声音分类系统分析与仿真

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093281

Sharayu Kawale, Dharmesh Dhabliya, G. Yenurkar

引用次数: 3