Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India最新文献_第4页

Mulberry silk fabric treatment with natural colorants 桑蚕丝织物用天然着色剂处理

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India Pub Date : 2021-01-01 DOI: 10.4108/eai.7-12-2021.2314742

S. P., J. J

引用次数: 0

A meta-analysis method for identifying potential blood based protein markers associated with Alzheimer’s disease 鉴别与阿尔茨海默病相关的潜在血液蛋白标志物的荟萃分析方法

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India Pub Date : 2021-01-01 DOI: 10.4108/eai.7-12-2021.2314513

N. Subburaj, Rani P

{"title":"A meta-analysis method for identifying potential blood based protein markers associated with Alzheimer’s disease","authors":"N. Subburaj, Rani P","doi":"10.4108/eai.7-12-2021.2314513","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314513","url":null,"abstract":". The Alzheimer's disease (AD) is a persistent neurodegenerative disorder characterized by loss of memory and different cognitive capabilities which represents 60 to 80% of dementia. Present day Alzheimer's remedies just treat and postpone the deterioration of dementia manifestations. A biomarker could provide a detailed measurements of brain abnormality, which can aid in the early detection of disease in people who have very mild symptoms and also the treatments targets could be developed for the disease in its early stages, before irreversible brain damage or mental decline occurs. Individuals with Alzheimer's disease and different types of dementia progress at various rates, and biomarkers may aid in predicting and monitoring their progression. Thereby researchers are looking for precise preclinical biomarkers for prognosis of cognitive impairment. The current methods that are used in AD diagnosis are expensive, invasive or time consuming. Hence there is a potential requirement for less invasive and economically feasible blood-based biomarkers to assist in large-scale screening of the geriatric population. The objective of this analysis was to evaluate the reported blood-based protein biomarkers of Alzheimer's disease (AD). A methodical PubMed survey was performed on 1195 articles distributed among 2007 and March 2018 using the key phrases \"Alzheimer's infection\" and \"plasma biomarker\" and 58 articles were chosen that met with the filtering criteria. The blood-based proteins of AD from the selected papers were scored using a meta-scoring system.In this study, 90 blood based proteins were identified, of which 15 were reported multiple times. The six highest meta scored proteins are APOE, BNP, CRP, CD40, TNF α and Clusterin. Further examinations and broad trial validations are important to affirm the clinical use of these potential biomarkers for AD diagnosis.","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90193943","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

Automated Production of Personalised Doodles 个性化涂鸦的自动化生产

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India Pub Date : 2021-01-01 DOI: 10.4108/eai.7-12-2021.2314599

A. A., S. G

{"title":"Automated Production of Personalised Doodles","authors":"A. A., S. G","doi":"10.4108/eai.7-12-2021.2314599","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314599","url":null,"abstract":". Doodles celebrate interesting events and anniversaries around the world by capturing one’s attention. Doodles reflect Google’s personality and love of innovation. Although doodles are simple scribbled piece of text, they mean more than that. Art and Animations have added real value to them. For instance, google portrays its logo in a creative fashion, with a new one every other day, by making use of these doodles. They are not only meant for creating an impact, but they also provide at the backdrop, a valuable piece of information to the customer who visits them. This information may comprise the current affairs, festive occasions or day-to-day important happenings around the world. Each doodle developed by Google goes through a series of procedures that involve deep thinking and designing activities. The timespan for producing each doodle is estimated to be a month. This paper suggests a procedure for automating the production of doodles using a novel approach. This approach uses scrapped web data relating to the particular dates and specialties about them (from sources like Wikipedia and Hindu API which have huge potential for information). Images pertaining to the gathered event related data are to be used as textures, which acts as a basic technique to overlay on the textual information or logo. Random selection of styles, designs and animations could add to the performance, by producing several variants of doodles. The linked information behind these doodles could add to the knowledge of the customers thereby increasing the productivity, clicks and visits to the site. This process aids to transform doodles from a generic version to a personalized version. A sync to the customer’s calendar dates allows for personalized promotions. For example, Amazon may optionally deliver gifts from one customer to another by texturing their logos with the sender’s photos. This may be overwhelming to both receiver and sender. Automation, therefore eases the procedures involved behind the pleasant doodles.","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":"76 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83853215","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

Survey on Machine Learning Approaches for Intrusion Detection System 入侵检测系统中的机器学习方法综述

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India Pub Date : 2021-01-01 DOI: 10.4108/eai.7-12-2021.2315107

Zina Garcia R, K. C.

引用次数: 0

A Deep Learning-Based Substructure for Trash Detection and Face Recognition 基于深度学习的垃圾检测和人脸识别子结构

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India Pub Date : 2021-01-01 DOI: 10.4108/eai.7-12-2021.2314723

A. M., Anusuya K.V, Nivethitha M

引用次数: 1

Clustering Reporeapers Using Data Mining Techniques 使用数据挖掘技术聚类报告者

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India Pub Date : 2021-01-01 DOI: 10.4108/eai.7-12-2021.2314573

S. K. G, K. G

引用次数: 0

Leveraging Classification of Brain Tumour using Deep Learning Architectures 利用深度学习架构进行脑肿瘤分类

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India Pub Date : 2021-01-01 DOI: 10.4108/eai.7-12-2021.2314487

Karunya K, Karpagam G.R, J Shreyas

引用次数: 0

Summarization of Customer Reviews in Web Services using Natural Language Processing 使用自然语言处理的Web服务客户评论摘要

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India Pub Date : 2021-01-01 DOI: 10.4108/eai.7-12-2021.2314556

Hema Priya N, S. S, R. N, Adithya Harish S M

{"title":"Summarization of Customer Reviews in Web Services using Natural Language Processing","authors":"Hema Priya N, S. S, R. N, Adithya Harish S M","doi":"10.4108/eai.7-12-2021.2314556","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314556","url":null,"abstract":". Customers can submit reviews for numerous products on websites like Amazon and Flipkart. As e-commerce grows in popularity, so does the quantity of consumer reviews that a product receives. A single product may have hundreds of thousands of reviews, each of which may be lengthy and repetitious. As a result, computerised review summarization offers a lot of potential for assisting buyers in making quick selections about certain items. Because a single manufacturer may sell a variety of items. It is also beneficial for manufacturers to keep track of customer feedback and comments. The process of creating a summary from review sentences is known as review summarising.In this project, given a product review, a shorter version of the review is created while the sentiment and points are preserved. The tone of the review will also be determined, and a summary of sample favourable and bad product reviews will be generated. Web scraping is used to collect reviews from popular ecommerce websites. Natural Language Processing Toolkit and neural networks such as RNN (Recurrent Neural Network) are used to summarise. The RNN architecture is combined with the Seq2Seq model, which is an encoder-decoder architecture. The highest accuracy for sentiment analysis on Amazon Fine Food Reviews was found to be 91%.","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":"78 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77334342","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

Semantic Similarity Assessment using Universal Networking Language 基于通用网络语言的语义相似度评估

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India Pub Date : 2021-01-01 DOI: 10.4108/eai.7-12-2021.2314540

A. Chitra, Anupriya Rajkumar

引用次数: 0

Assessment and Attainment of Course Outcomes With Scope For Improvement: A Sample Pragmatic Case Study for Incorporating Outcome Based Education in Engineering Colleges 具有改进空间的课程成果评估与实现:工程学院纳入成果导向型教育的实用案例研究样本

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India Pub Date : 2021-01-01 DOI: 10.4108/eai.7-12-2021.2314482

Krishnamoorthy Somasundaram, Vinoth Kumar Balasubramanian, Paulraj Sivakumar

引用次数: 0