2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)最新文献_第10页

Multi-Asset Portfolio Management System: Integrating Diverse Investments for Optimal Returns and Risk Mitigation 多资产投资组合管理系统：整合多元化投资，获得最佳收益并降低风险

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459461

Himanshu Chaudhari, Aditi Gandhi, Varun Gabhane, Hanmant Magar

{"title":"Multi-Asset Portfolio Management System: Integrating Diverse Investments for Optimal Returns and Risk Mitigation","authors":"Himanshu Chaudhari, Aditi Gandhi, Varun Gabhane, Hanmant Magar","doi":"10.1109/ICETSIS61505.2024.10459461","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459461","url":null,"abstract":"Managing a portfolio is important for getting the most profit and reducing risks in today's complicated financial markets. This paper talks about a simple platform made to help all kinds of investors keep an eye on their different investments easily. These investments include stocks, real estate, gold, fixed deposits, and more. The goal of the study is to see how well the investments are doing, look at the risks and rewards, check out ways to manage risks, explore different investment choices, and give practical advice to make more profit. The paper is useful for people who invest in many things because it connects investors with their investments in different areas. The new platform suggests better ways to invest so users can reach their money goals. In simple words, this paper introduces a place where regular people can watch all their investments and get advice for future ones, based on what they've done before. The platform also looks at how much risk a person can handle, considering things like their age and income.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"40 1","pages":"1164-1167"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530080","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

Cotton Plant Disease Prediction and Remedy Recommendation System 棉花植物病害预测和补救建议系统

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459606

Vaidehi Manurkar, Sumedh Kulkarni, Suyash Rokade, Riddhi R. Mirajkar

引用次数: 0

An Evaluation of Leveraging AR and VR for Enhanced Customer Engagement and Operational Efficiency in e-Commerce 利用 AR 和 VR 增强客户参与度和电子商务运营效率的评估

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459576

Muhammad Ehsan Rana, Kamalanathan Shanmugam, Kar Yee Chong

引用次数: 0

Enhancing Association Rules using Generative Adversarial Networks for Breast Cancer Classification 利用生成式对抗网络增强关联规则，用于乳腺癌分类

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459572

Menatalla Haggag, Lubana Al Rayes, Z. Aghbari

{"title":"Enhancing Association Rules using Generative Adversarial Networks for Breast Cancer Classification","authors":"Menatalla Haggag, Lubana Al Rayes, Z. Aghbari","doi":"10.1109/ICETSIS61505.2024.10459572","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459572","url":null,"abstract":"The core algorithms of data mining (DM) enable the discovery of new information and insights by analyzing large amounts of data. Association rules mining (ARM), one of the several DM approaches, is extremely important in DM research. By utilizing ARM in medical diagnosis, early disease detection can be enhanced, and treatment recommendations can be improved based on data-driven insights. Breast cancer remains the leading cause of cancer-related deaths among women on a global scale. It is a huge challenge to researchers in the medical field concerning its diagnosis and prognosis. This paper aims to leverage ARM for the generation of associations that contribute to either recurrence or no-recurrence events in breast cancer. The study utilizes the Breast Cancer dataset from the UCI repository. To ensure comprehensive coverage of associations in both classes, the dataset is balanced using Synthetic Minority Over-sampling Technique (SMOTE) and Generative Adversarial Networks (GAN). Utilizing GAN to balance the dataset enhanced the performance of the association classification.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"40 1","pages":"634-638"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530221","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

Best Practices for Ensuring Security and Privacy in E-Learning Environments 确保电子学习环境安全和隐私的最佳做法

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459515

Essohanam Djeki, Jules R. Dégila, M. Alhassan

{"title":"Best Practices for Ensuring Security and Privacy in E-Learning Environments","authors":"Essohanam Djeki, Jules R. Dégila, M. Alhassan","doi":"10.1109/ICETSIS61505.2024.10459515","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459515","url":null,"abstract":"The rapid growth of e-learning environments has brought the urgent need to address security and privacy concerns in digital education. Existing research does not focus on the security best practices to be adopted by learners to support a secure e-learning environment. This research identifies various security threats and risks in the e-learning environment. Additionally, the study discusses the adoption of data protection laws by different countries and international organizations and emphasizes the need for compliance by e-learning platform providers. It highlights the responsibility of learning platform providers in ensuring the security of courses and user data. It delves into the importance of implementing measures such as access control, encryption, and regular updates to protect sensitive information and maintain a secure learning environment. By implementing the best practices outlined in this study, stakeholders (providers, learners, teachers) can create a safe online learning environment that protects personal data and respects privacy. The paper calls for collaborative efforts among learning platform providers, learners, and teachers to prioritize data protection and adhere to privacy regulations, ultimately enabling a safe and conducive digital education experience.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"255 1","pages":"1108-1112"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530231","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

Additional Security in ATM Transactions Using Face Recognition and OTP Verification 使用人脸识别和 OTP 验证提高 ATM 交易的安全性

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459580

Aditi Mohite, Sourav Joshi, Riddhi Joshi, Riddhi R. Mirajkar, Siddhi Kunjir

{"title":"Additional Security in ATM Transactions Using Face Recognition and OTP Verification","authors":"Aditi Mohite, Sourav Joshi, Riddhi Joshi, Riddhi R. Mirajkar, Siddhi Kunjir","doi":"10.1109/ICETSIS61505.2024.10459580","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459580","url":null,"abstract":"In the contemporary digital landscape, this project presents an innovative ATM security system that seamlessly integrates face recognition authentication and OTP (One-Time Password) verification, significantly enhancing security in financial transactions. The system adopts a robust yet flexible approach, initiating with users entering their username and password. Subsequently, their face is captured and analyzed through the LBPH algorithm. Successful face recognition grants access for secure transactions. For situations necessitating an alternative access method, such as withdrawals by trusted individuals, the system smoothly transitions to OTP verification. In case face recognition fails, an OTP is generated and dispatched to the user's registered mobile number, enabling authorized parties to proceed with transactions. This dynamic approach ensures stringent control over account access while facilitating secure and convenient financial transactions. By amalgamating cutting-edge technology with adaptability and user-friendliness, this system offers a comprehensive security framework for ATM systems in the modern financial technology landscape.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"250 4","pages":"583-588"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530234","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

Ontology-Based Conversational Recommender System for Motorcycle 基于本体的摩托车会话推荐系统

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459532

Muhammad Nur Iqbal Wariesky, Z. Baizal

引用次数: 0

Data Security Framework with Cognitive Theory on Higher Education 高等教育认知理论数据安全框架

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459503

D. Wiryawan, Wisnu Ramadhan, Faldo Krisnata, Fakhri Dhiya' Ulhaq

引用次数: 0

Ensemble Learning Algorithms for Solar Power Prediction in Saudi Arabia: A Data-Driven Approach 用于沙特阿拉伯太阳能预测的集合学习算法：数据驱动方法

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459648

Mohammad Kamal Hossain, Md Arifuzzaman, M. Seliaman, Arifur Rahman, Debasish Sarker, Hussain Altammar

引用次数: 0

Review and Conceptual Workflow for Enhancing Wind Loads Design of Sustainable Asymmetrical Tall Buildings 增强可持续非对称高层建筑风荷载设计的回顾与概念工作流程

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459521

Fadi Alkhatib, Ali Daris, Aiman H. H. Almasaudi, A. M. Alawag, Abdullah O. Baarimah, A. K. Alakhali

{"title":"Review and Conceptual Workflow for Enhancing Wind Loads Design of Sustainable Asymmetrical Tall Buildings","authors":"Fadi Alkhatib, Ali Daris, Aiman H. H. Almasaudi, A. M. Alawag, Abdullah O. Baarimah, A. K. Alakhali","doi":"10.1109/ICETSIS61505.2024.10459521","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459521","url":null,"abstract":"Tall buildings have emerged in popularity as a solution for accommodating swift urban population growth, economic expansion, and spatial constraints. However, as sustainability takes precedence in urban development, the performance and optimization of tall buildings have assumed critical research significance. Wind loads predominantly dictate the parameters for the design and optimization of these structures, mandating a wind-responsive approach to assess structural behaviors. This challenge is compounded by contemporary architectural trends favoring asymmetrical shapes and intricate geometries, where external form crucially influences wind-induced motion on tall buildings. This paper firstly undertakes a review study based on prior research works to investigate the main challenges and associated impediments in the pursuit of optimizing asymmetrical tall buildings for designs that are sustainable, safe, and economically viable. In response, a conceptual design workflow is developed and proposed by utilizing advanced computational technology to address the array of challenges inherent in designing and optimizing asymmetrical tall buildings. Hence, this research work lays the groundwork for further exploration and broader application to facilitate its implementation for the effective realization of asymmetrical tall buildings within industrial practices.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"31 1","pages":"812-816"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530050","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