2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)最新文献_第8页

Comparative Analysis of Machine Learning Algorithms for classification of Alzheimer’s disease 机器学习算法在阿尔茨海默病分类中的比较分析

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093394

Akshara Madhu Suthanan, Siddharth Rathee, Anil Kumar

{"title":"Comparative Analysis of Machine Learning Algorithms for classification of Alzheimer’s disease","authors":"Akshara Madhu Suthanan, Siddharth Rathee, Anil Kumar","doi":"10.1109/ICETEMS56252.2022.10093394","DOIUrl":"https://doi.org/10.1109/ICETEMS56252.2022.10093394","url":null,"abstract":"With significant increase in interest in dementia and Alzheimer’s disease, a form of dementia that deteriorates the brain as well as the memory along with other important mental functions, in which brain neuron connections begin to disintegrate and die. Memory loss and confusion being the main symptoms, physicians and scientists are yet to find a concrete cure for the same. However, different strategies and medications have been found to be helpful, especially if early detection is possible. The report shows the results and analysis of detecting Alzheimer’s using machine learning models and compared them. The OASIS dataset has been applied to different machine learning models like SVM, Logistic Regression, K-Nearest Neighbors, Naive Bayes, Decision Tree, Random Forest, and Ensemble Learning. It has been run through these models before and after fine tuning. The best accuracy was found with Support Vector Machines after fine tuning. Another observation is that the inclusion of feature of CDR’ i.e., Clinical Dementia Rating showed a spike in the evaluation metrics with the best accuracy being 97% achieved by Support Vector Model.","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":"32 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":"115749599","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

Rectangular Patch Antenna with EC Slot and Stubs for emerging wireless Applications 矩形贴片天线与EC槽和桩为新兴的无线应用

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093388

Ketki Kotpalliwar, S. Khade, Chitra V. Bawankar, P. Zade, Diksha Ninawe

引用次数: 1

Medical X-Rays Categorization and Irregularity Recognition of Bone and Diagnosis of Bone disorders Based on Xception Model 基于异常模型的医用x射线分类、骨异常识别及骨疾病诊断

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093474

D. Shubhangi, Baswaraj Gadgay, Mohammedi, M. A. Waheed

{"title":"Medical X-Rays Categorization and Irregularity Recognition of Bone and Diagnosis of Bone disorders Based on Xception Model","authors":"D. Shubhangi, Baswaraj Gadgay, Mohammedi, M. A. Waheed","doi":"10.1109/ICETEMS56252.2022.10093474","DOIUrl":"https://doi.org/10.1109/ICETEMS56252.2022.10093474","url":null,"abstract":"This study adopted a hybrid classification method for determining bone kinds and identifying bone deformities. The proposed methodology perceives the shoulder bones, forearm, humerus, elbow, hand, finger, leg, wrist,and knee. For this study, the Xception pre-trained model is used. The single-view and multi-view techniques are the two techniques used during the testing phase. The improved images send to first stage, which classifies them into the one of nine categories: shoulder, humerus, forearm, elbow, wrist, hand, finger, leg,and knee. Following categorization, the bones are input to second stage, that determines whether bones are normal or pathological. The MURA dataset is used for the experiments. Furthermore, the SVM layer or the classifier replaces the final layer of the used model. The results show that the SVM layer is superior. The study suggests the detection of normal and abnormal bone xrays. Determining whether the bone is normal or abnormal. If abnormal, include symptoms, diagnosis, and home remedies.","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":" 31","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120834040","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

Comparative Study of Sliding Surfaces Used in Photovoltaic Application to Track the Maximum Power 光伏应用中跟踪最大功率的滑动面比较研究

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093461

Devesh Patil, Snehal Unde, A. Deshpande

引用次数: 0

4 Bit and 8 Bit Convolution Using Vedic Multiplier 使用Vedic乘法器进行4位和8位卷积

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093621

R. Kamdi, Prasheel N. Thakre, Aniket G Pathade, S. Tiwari, Kamlesh Kalbande

引用次数: 0

Quality Assessment Method for Image Inpainting 图像补漆质量评价方法

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093282

Shweta A. Dhondse, M. Mushrif

引用次数: 0

Power Flow Control through Transmission Line using DSSC 基于DSSC的输电线路潮流控制

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093270

S. R. Gaigowal, S. Bhongade, Ashish Bhagat, M. Sheikh

引用次数: 0

Formulation and Evaluation of Polyherbal Antidiabetic Tablet 复方降糖片的研制及评价

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093424

M. Gunde, Rushikesh Sonule, P. Suruse

{"title":"Formulation and Evaluation of Polyherbal Antidiabetic Tablet","authors":"M. Gunde, Rushikesh Sonule, P. Suruse","doi":"10.1109/ICETEMS56252.2022.10093424","DOIUrl":"https://doi.org/10.1109/ICETEMS56252.2022.10093424","url":null,"abstract":"The restoration of Ayurveda is reframing it in contemporary medicine, and the notion of fusing Ayurveda with contemporary drug discovery methods is now growing, accepted internationally, and in high demand. Traditional medicine has a long history of helping people all around the world, and from ancient times, the health of all peoples has depended on its usage. The study of ethnobotany is a valuable resource for the production of herbal drugs, and interest in both traditional medicine and plant research has grown significantly across the world. The major goal of this research project is to create innovative synergistic polyherbal formulations with medicinal components and functional qualities that would cause hypoglycemic effects without inducing hyperglycemia even after discontinuing use of the herbal formulations. As a consequence, the multi-herbal mixture significantly reduced blood sugar levels, and the pill met Pharmacopoeia criteria. Results indicate that the concept and assessments are sound. Pharmacological assessment for the treatment of diabetes mellitus also needs more research.","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":"12 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":"121443613","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

Brain Tumor Segmentation and Model Optimization for 3-D Printing 3d打印脑肿瘤分割及模型优化

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093365

C. Mahatme, J. Giri, R. Chadge, P. Fulzele

{"title":"Brain Tumor Segmentation and Model Optimization for 3-D Printing","authors":"C. Mahatme, J. Giri, R. Chadge, P. Fulzele","doi":"10.1109/ICETEMS56252.2022.10093365","DOIUrl":"https://doi.org/10.1109/ICETEMS56252.2022.10093365","url":null,"abstract":"Medical image acquisition is generally done through Magnetic Resonance Imaging (MRI) or computerized tomography (CT) scan which is a non-intrusive technique. For identifying the Tumor in the brain, a segmentation process is used which involves using image processing algorithms on MRI scans. While many approaches have been used for brain tumor segmentation, the manual segmentation process is tedious and has inherent problems associated with it. This paper proposes an implementation of3-D slicer segmentation of the brain tumor model along with STL model optimization using Autodesk Netfabb. This will provide an effective way of reducing the STL errors in the segmented 3-D models. These optimized models can then be 3-D printed which will provide accurate information on tumor shape and size to the medical professionals. The process of STL model optimization shows very promising results on the MRI dataset used in this case study and it achieves the creation of error-free STL models for 3-D printing. Additionally, this work demonstrates the effective use of the 3-D slicer along with Autodesk NetFabb, to considerably reduce the STL errors which were generated in the conventional process of manual segmentation. The manual segmentation process was tedious and required force smoothening of 3-D slicer models obtained after segmentation leading to faulty 3-D model printing.","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":"40 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":"131836311","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

Real Time AI Based Face Mask Detector 实时人工智能面具检测器

2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) Pub Date : 2022-11-18 DOI: 10.1109/ICETEMS56252.2022.10093259

Medisetty Eswar, Nali Venkata Rao, Palla Dhanush, Meka Mohith Chowdary, V. Deepthi

引用次数: 0