International Journal of Advanced Trends in Computer Science and Engineering最新文献_第3页

Diabetic Retinopathy Classification using Transfer learning 利用迁移学习进行糖尿病视网膜病变分类

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-06-08 DOI: 10.30534/ijatcse/2023/021232023

{"title":"Diabetic Retinopathy Classification using Transfer learning","authors":"","doi":"10.30534/ijatcse/2023/021232023","DOIUrl":"https://doi.org/10.30534/ijatcse/2023/021232023","url":null,"abstract":"Diabetic Retinopathy (DR) is an eye illness that impacts individuals who have diabetes and damages their retina over time, eventually causing blindness. Due to lesions in the retina that are formed because of retinal blood vessel rupture, it impairs vision and, in the worst-case scenario, results in severe blindness. To prevent severity and to lessen challenges in identifying tiny lesions throughout the disease's advanced stages, it is now crucial to diagnose the condition early as, it manifests itself without any symptoms. Even ophthalmologists find it challenging and time-consuming to identify this condition. Early DR case identification and classification is essential for delivering the required medical care. This study proposes applying deep learning techniques to detect DR in retinal fundus images. The data acquired for this process may be incomplete and imbalanced. Data augmentation balances the data and increase the quantity of retinal images. As deep-learning algorithms need more data to process, DCGAN Augmentation technique is employed. The CNN (Convolutional Neural Network) methods, specifically the VGG16 and DenseNet121 architectures, are employed for DR early detection in order to let patients to receive therapy at the appropriate time.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"44 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132743020","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

Web-Based Motorcycle Loan Management System with credit risk and approval analysis using Data Mining Techniques 基于web的摩托车贷款管理系统，采用数据挖掘技术进行信用风险和审批分析

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-06-08 DOI: 10.30534/ijatcse/2023/051232023

John Louis Mercaral

{"title":"Web-Based Motorcycle Loan Management System with credit risk and approval analysis using Data Mining Techniques","authors":"John Louis Mercaral","doi":"10.30534/ijatcse/2023/051232023","DOIUrl":"https://doi.org/10.30534/ijatcse/2023/051232023","url":null,"abstract":"Using information systems can dramatically improve a business's productivity and efficiency. Moreover, the ability of information systems to provide users with the information they need to complete jobs effectively can be the most significant advantage. This project development plan proposes a Web-Based Motorcycle Loan Management System with credit risk and approval analysis using Data Mining Techniques for a private motorcycle dealer who encounters challenges, particularly in the decision-making of motorcycle loans. It will facilitate the automation of business processes, including online motorcycle loan applications and payments, access to real-time data and reporting, and credit risk and approval analysis to assist the credit department in decision- making by applying data mining techniques. The project will employ the Scrum framework for software development and testing method. A total of 150.625 man-days with a total cost of P1,350,231.78 were computed to complete the proposed information system. A one-year financial viability analysis was defined to determine the proposed project's total cost and benefits. Based on the results, time spent on activities is reduced to 89.19%, indicating that the business can handle more applications every day compared to the average twenty daily applications since processing time is significantly decreased. It is recommended for future improvement of this plan to implement Augmented Reality for a better user online experience in previewing motorcycle units.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124868799","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

FUZSLS: A Predictive Control System for Vehicular Speed Limit Application Using Fuzzy Logic 基于模糊逻辑的车辆限速预测控制系统

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-06-08 DOI: 10.30534/ijatcse/2023/041232023

引用次数: 0

Enhancing Signature Verification through Neural Network Ensemble 利用神经网络集成增强签名验证

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-06-08 DOI: 10.30534/ijatcse/2023/031232023

Kishan Chandravadia, Pritam Prakash, Dr. Priya Swaminarayan

引用次数: 0

A Scaling Factor Based Image Processing Strategy for Object Detection 一种基于比例因子的目标检测图像处理策略

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-06-08 DOI: 10.30534/ijatcse/2023/011232023

引用次数: 0

Spatio-Temporal Analysis of Land Use Change in Uyo Urban, Akwa Ibom State, Nigeria 尼日利亚阿夸伊博姆州Uyo城市土地利用变化的时空分析

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-04-15 DOI: 10.30534/ijatcse/2023/101222023

{"title":"Spatio-Temporal Analysis of Land Use Change in Uyo Urban, Akwa Ibom State, Nigeria","authors":"","doi":"10.30534/ijatcse/2023/101222023","DOIUrl":"https://doi.org/10.30534/ijatcse/2023/101222023","url":null,"abstract":"The increasing population size of cities and the physical expansion of the built-up area beyond the city limits as well as rising demand for more land for various purposes induce changes in urban land-use. This study therefore evaluates the spatio-temporal changes of land uses in Uyo urban. The study utilizes Geographic Information System (GIS); where land use maps of Uyo were produced from Landsat ETM imagery of 2003, 2012 and 2021 using Erdas imagine and ArcGIS softwares. Post classification and change detection analysis for the three years was used to depict changes in identified land uses. The results indicate that in 2003 agricultural land use occupied an area of 37.307 sq.km while residential land use occupied an area of 50.494 sq.km. In 2012, agricultural land use reduced to 25.347 sq.km while residential land use increased to 62.879 sq.km. Furthermore, by 2021, agricultural lands use further indicated drastic reduction occupying an area of 6.207 sq.km while residential land use indicated remarkable increase to 73.469 sq.km. Between 2003 and 2012, residential land uses increased by 8.88 sq.km translating into 15.4 per cent within 10 years and 1.5 per cent per annum; whereas agricultural land use decreased annually by -2.5 per cent. Other land uses such as institutional, commercial and transportation land uses also increased, while forest and water bodies also decreased within the years. It is recommended that periodic monitoring of the land use should be encouraged to ascertain the pattern of changes in order to curtail negative impacts on the environment.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123270717","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

Novel Implementation of TEXT2IMAGE TEXT2IMAGE的新实现

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-04-10 DOI: 10.30534/ijatcse/2023/081222023

{"title":"Novel Implementation of TEXT2IMAGE","authors":"","doi":"10.30534/ijatcse/2023/081222023","DOIUrl":"https://doi.org/10.30534/ijatcse/2023/081222023","url":null,"abstract":"Text-to-image generation has traditionally focused on finding better modelling assumptions for training on a fixed dataset. These assumptions might involve complex architectures, auxiliary losses, or side information such as object part labels or segmentation masks supplied during training. By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond. These models typically operate directly in pixel space, optimization of powerful DMs often consumes hundreds of GPU days and inference is expensive due to sequential evaluations. To enable DM training on limited computational resources while retaining their quality and flexibility, we apply them in the latent space of powerful pretrained autoencoders. Training diffusion models on such a representation allows for the first time to reach a near-optimal point between complexity reduction and detail preservation. Latent diffusion models (LDMs) achieve new state-of-the-art scores for image inpainting and class-conditional image synthesis and highly competitive performance on various tasks, including text-to-image synthesis, while significantly reducing computational requirements compared to pixel-based DMs.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117216744","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

ChatGPT: Educational Artificial Intelligence 教育人工智能

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-04-10 DOI: 10.30534/ijatcse/2023/091222023

{"title":"ChatGPT: Educational Artificial Intelligence","authors":"","doi":"10.30534/ijatcse/2023/091222023","DOIUrl":"https://doi.org/10.30534/ijatcse/2023/091222023","url":null,"abstract":"On November 30, 2022, OpenAI published ChatGPT, a general-purpose discussion chatbot that is anticipated to have a significant influence on all facets of society. The prospective effects of this NLP tool on education, however, are still unclear. The capacity of ChatGPT may influence adjustments to learning activities, educational learning objectives and assessment and evaluation procedures, which might have a significant impact. In order to create this essay, I piloted ChatGPT as part of a research (see, ChatGPT User Experience: Implications for Education). ChatGPT, according to the pilot study, can help academics write articles that are systematic, coherent, (mostly) right, and instructive. The author's professional experience was used sparingly to complete the article in 2 to 3 hours. I investigate the potential implications of ChatGPT and other similar AI technologies on education in the paper, relying on user experience. The report suggests modifying learning objectives, with an emphasis on enhancing students' creativity and critical thinking rather than broad skill development. Students should be able to employ AI tools to carry out subject-domain activities. Researchers should create AI-based learning projects that involve students in addressing real-world problems in order to meet the learning objectives. Concerns about students contracting out their assessment work are also raised by ChatGPT. The article comes to the conclusion that new evaluation forms are required to emphasise creativity and critical thinking, which AI cannot replace (for details, read the paper).","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130087560","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

Detection of Textual Propaganda Using Passive Aggressive Classifiers 使用被动攻击分类器检测文本宣传

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-04-08 DOI: 10.30534/ijatcse/2023/071222023

{"title":"Detection of Textual Propaganda Using Passive Aggressive Classifiers","authors":"","doi":"10.30534/ijatcse/2023/071222023","DOIUrl":"https://doi.org/10.30534/ijatcse/2023/071222023","url":null,"abstract":"Nowadays, social media activity, particularly news that spreads over the network, is a major source of knowledge. People search out and chew up news from internet-based living because of the low effort, easy access, and rapid dissemination of information. Twitter, as one of the most wellknown continuing news sources, also happens to be one of the most dominant news disseminating media. It has already been known to wreak significant harm by disseminating snippets of gossip. Online clients are typically susceptible, and everything they do on web-based networking media is assumed to be trustworthy. As a result, automating counterfeit propaganda detection is critical to maintaining a vibrant online media and informal organization. In order to computerize propaganda news identification in Twitter datasets, this research develops a technique for recognizing propaganda text messages from tweets by figuring out how to anticipate precision evaluations. This paper proposes a supervised machine learning technique, Passive aggressive classifiers that uses Count Vectorizer and Term FrequencyInverse Document Frequency Vectorizer as feature extraction to detect propaganda news based on the polarity of the corresponding article. Finally, this algorithm uses dataset with 43000 records and shows good accuracy.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"388 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133466812","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

Dream Eyes – A Sight to Low Vision People 梦幻之眼-低视力人士的视觉

International Journal of Advanced Trends in Computer Science and Engineering Pub Date : 2023-04-08 DOI: 10.30534/ijatcse/2023/031222023

引用次数: 0