International Journal of Advanced Research in Science, Communication and Technology最新文献_第2页

Unleashing the Power of AI in Financial Services: Opportunities, Challenges, and Implications 在金融服务中释放人工智能的力量：机遇、挑战和影响

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-13 DOI: 10.48175/ijarsct-19155

Sumit Bhatnagar, Roshan Mahant

{"title":"Unleashing the Power of AI in Financial Services: Opportunities, Challenges, and Implications","authors":"Sumit Bhatnagar, Roshan Mahant","doi":"10.48175/ijarsct-19155","DOIUrl":"https://doi.org/10.48175/ijarsct-19155","url":null,"abstract":"The financial services industry is experiencing a profound transformation driven by the rapid adoption of artificial intelligence (AI). This paper explores the opportunities, challenges, and implications of unleashing the power of AI in financial services. AI technologies offer significant benefits, including cost reductions, enhanced productivity, improved customer service, and the development of innovative financial products and services. The market for AI in finance is projected to grow from $7.3 billion in 2021 to $22.6 billion by 2026, with the global AI market size expected to reach $1.85 trillion by 2030. Despite the promising opportunities, the implementation of AI in finance presents several challenges. These include ensuring data privacy and security, addressing ethical concerns, managing regulatory compliance, and mitigating algorithmic bias. Financial institutions must develop robust AI governance frameworks to navigate these complexities and ensure the responsible use of AI. The implications of AI adoption are significant, with AI expected to create over $140 billion annually in value in banking by 2025. Moreover, 89% of financial institutions plan to increase their AI spending in the coming years, highlighting the growing importance of AI in the industry. By strategically leveraging AI technologies, financial institutions can gain a competitive edge, increase market share, and improve profitability. This paper concludes that while AI presents transformative opportunities for financial services, success will depend on effectively addressing the associated challenges. The future of finance is intertwined with AI advancements, making it crucial for stakeholders to embrace and strategically implement these technologies to unlock their full potential","PeriodicalId":341984,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"40 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141650927","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

A Review On: Advancing Sustainable and Smart Farming Practices, A Comprehensive Exploration of IoT and Sensor Technologies in Agriculture 综述：推进可持续和智能农业实践，全面探索农业中的物联网和传感器技术

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-12 DOI: 10.48175/ijarsct-19152

Vishal Sharma, Siddharth Rajawat, Anirban Kumar, Vishal Kumar, Yashwant Parihar, Sahdev Jaat

{"title":"A Review On: Advancing Sustainable and Smart Farming Practices, A Comprehensive Exploration of IoT and Sensor Technologies in Agriculture","authors":"Vishal Sharma, Siddharth Rajawat, Anirban Kumar, Vishal Kumar, Yashwant Parihar, Sahdev Jaat","doi":"10.48175/ijarsct-19152","DOIUrl":"https://doi.org/10.48175/ijarsct-19152","url":null,"abstract":"Agriculture, which is critical to global livelihoods, is undergoing a significant transformation due to the incorporation of modern technologies, most notably the Internet of Things (IoT) and artificial intelligence (AI). This study investigates the critical role of IoT in enabling real-time data collection through networked devices equipped with sensors and actuators. With these instruments, key environmental elements such as soil moisture, temperature, and crop health may be monitored precisely. In contrast, AI improves agriculture by allowing for intelligent decision-making via data analytics, predictive modeling, and automation. This study comprehensively investigates how IoT and AI influence precision agriculture, with the goal of optimizing all aspects of farming to increase output while decreasing resource inputs. Efficiency case studies show tangible benefits for farmers, such as greater yields and more efficient resource management. However, challenges such as initial installation costs, concerns about data security, and the need for increased education and training are recognized. Furthermore, the study examines future improvements, predicting the ongoing evolution of IoT and AI technologies and their seamless integration into agricultural practices. To summarize, this study highlights the revolutionary potential of combining IoT and AI in agriculture, underlining the importance of widespread adoption in maintaining sustainable and resilient farming systems, particularly in light of rising global food demand","PeriodicalId":341984,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"67 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141653153","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

Industrial Monitoring System 工业监控系统

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-11 DOI: 10.48175/ijarsct-19147

Amrutha T

引用次数: 0

Predicting Chronic Diseases Using Nonlinear Systems 利用非线性系统预测慢性疾病

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-10 DOI: 10.48175/ijarsct-19144

Amarpreet Kaur, Geeta

引用次数: 0

Modification in Automated Aeroponic Indoor Air Purifier (Pavana) and its Feasibility Analysis 自动气培室内空气净化器（Pavana）的改造及其可行性分析

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-10 DOI: 10.48175/ijarsct-19142

Shreyas Satpute, Pranav Yadav, Prashik Gaikwad

引用次数: 0

Analysis of RCC Framed 45 Storey Building Using Different Combination of Outriggers 使用不同支腿组合的 45 层 RCC 框架结构建筑分析

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-10 DOI: 10.48175/ijarsct-19138

Nikhil Mulik, Ankit Mali, Smruti Patankar, Trupti Gavit, Digvijay Ghotkule

{"title":"Analysis of RCC Framed 45 Storey Building Using Different Combination of Outriggers","authors":"Nikhil Mulik, Ankit Mali, Smruti Patankar, Trupti Gavit, Digvijay Ghotkule","doi":"10.48175/ijarsct-19138","DOIUrl":"https://doi.org/10.48175/ijarsct-19138","url":null,"abstract":"In this modern age of civil engineering, the construction industry has embraced a notable inclination towards erecting towering structures, with skyscrapers emerging as integral components of urban development. This trend presents a multifaceted challenge, not only for architects but also for structural engineers, who must ensure these high-rise edifices possess a robust design foundation capable of withstanding diverse loads and their combinations. While both wind and seismic forces exert significant pressures on tall buildings, the former often takes precedence due to its higher magnitude and frequency. Consequently, the structural design of high-rise buildings necessitates careful consideration of gravity, wind, and seismic loads. \u0000This study delves into the behaviour of reinforced concrete (RC) framed high-rise buildings (comprising 45 stories) augmented with outrigger truss systems constructed from both concrete and steel bracings. By exploring various configurations of outrigger placement, the aim is to mitigate structural deflection and compare the efficacy against conventional RC systems, both with and without shear walls.","PeriodicalId":341984,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"36 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141659059","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

Predicting Software Defect Complexity and Accuracy using Bug Tracking and Clustering 利用 Bug 跟踪和聚类预测软件缺陷复杂性和准确性

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-10 DOI: 10.48175/ijetir-1237

Swetha. S, A.Poongodi

{"title":"Predicting Software Defect Complexity and Accuracy using Bug Tracking and Clustering","authors":"Swetha. S, A.Poongodi","doi":"10.48175/ijetir-1237","DOIUrl":"https://doi.org/10.48175/ijetir-1237","url":null,"abstract":"Many open sources, free and commercial bug tracking tools have been developed and are currently under development. There are number of issues are related to software projects are daily increasing and the developers are started to use bug tracking systems in that order to manages the bug reports. The industry needs that the criteria to select the best system tool among the available set of system tools which will helps to fix and track the progressive report of bug fixes. While, collection of useful information from the large and not organized set of these reports is still difficult problem because there are various bug tracking systems are provide the data via many resources like web interfaces. We try to present these comprehensive classification criteria to manage the reviews for available tools and propose a new modified tool for the bug tracking and reporting system. It also helps in reporting the bugs which are founded by that process, assigning the bug to the developer for monitoring and fixing the progress of bug fixing by various graphical/charting facility and status updates. It also providing the reliability of bug prediction and tries to find the bugs for complexity measurements, and allows to distributing.","PeriodicalId":341984,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"3 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141660254","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

Predicting Crime Hotspots using Machine Learning Techniques 利用机器学习技术预测犯罪热点

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-10 DOI: 10.48175/ijetir-1229

R. Nivetha, Dr. C. Meenakshi

引用次数: 0

Liver Diseases Prediction Using Machine Learning with Comparison Graph 利用机器学习和比较图预测肝脏疾病

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-10 DOI: 10.48175/ijetir-1246

Dr. Krithika. D. R., Dr. R. Priya, S. Ranjith

{"title":"Liver Diseases Prediction Using Machine Learning with Comparison Graph","authors":"Dr. Krithika. D. R., Dr. R. Priya, S. Ranjith","doi":"10.48175/ijetir-1246","DOIUrl":"https://doi.org/10.48175/ijetir-1246","url":null,"abstract":"Chronic Liver Disease is the leading cause of global death that impacts the massive quantity of humans around the world. This disease is caused by an assortment of elements that harm the liver. For example, obesity, an undiagnosed hepatitis infection, alcohol misuse. Which is responsible for abnormal nerve function, coughing up or vomiting blood, kidney failure, liver failure, jaundice, liver encephalopathy and there are many more. This disease diagnosis is very costly and complicated. Therefore, the goal of this work is to evaluate the performance of different Machine Learning algorithms to reduce the high cost of chronic liver disease diagnosis by prediction. In this work, we used five algorithms Logistic Regression, K Nearest Neighbors, Decision Tree, Support Vector Machine, and Random Forest. The performance of different classification techniques was evaluated on different measurement techniques such as accuracy, precision, recall, f-1 score, and specificity. The analysis result shown the LR achieved the highest accuracy. Moreover, our present study mainly focused on the use of clinical data for liver disease prediction and explore different ways of representing such data through our analysis.","PeriodicalId":341984,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"24 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141660432","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

Efficient Fetal Health Prediction using Machine Learning 利用机器学习进行高效胎儿健康预测

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-10 DOI: 10.48175/ijetir-1238

L. Mohammed Salman, A. Poongodi

引用次数: 0