International Journal for Research in Applied Science and Engineering Technology最新文献_第4页

Harnessing Deep Learning for Accurate Detection of Breast Cancer in Histopathological Imagery 利用深度学习准确检测组织病理学图像中的乳腺癌

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63736

Dhanikonda Ratna Bhavani

引用次数: 0

Effect of AI on HI 人工合成对 HI 的影响

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63682

Mr. Perumalla Durgaprasad

{"title":"Effect of AI on HI","authors":"Mr. Perumalla Durgaprasad","doi":"10.22214/ijraset.2024.63682","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63682","url":null,"abstract":"Abstract: This paper explores the profound impact of Artificial Intelligence (AI) on Human Intelligence (HI), examining both the enhancements and challenges AI introduces. AI, defined as the capability of machines to perform tasks requiring humanlike intelligence, has evolved significantly, influencing various domains such as education, healthcare, and the workforce. AI enhances human cognitive processes by assisting in decision-making, problem-solving, and creativity, thereby augmenting HI. In education, AI-driven tools offer personalized learning experiences, while in healthcare; AI improves diagnostics and patient care. However, the integration of AI raises ethical concerns, including privacy, data security, and algorithmic bias. The potential for AI to surpass human intelligence, known as the singularity, poses existential questions about human autonomy. This paper underscores the importance of responsible AI development, emphasizing the need for ethical frameworks to balance technological advancements with human values. As AI continues to advance, fostering effective human-AI collaboration and preparing society for an AI-enhanced future are crucial for maximizing the benefits and minimizing the risks associated with AI's influence on HI.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"15 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795472","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

Statistical Analysis of Factors Influencing Stress and Resilience in High School Students in Visakhapatnam Region 维萨卡帕特南地区高中生压力和抗压能力影响因素的统计分析

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63618

Tedlapu Narayana Rao, Dr. Uppu Venkata Subbarao, Prof. S. Rajani

引用次数: 0

A Review: Security Mechanisms in Cloud Computing 回顾：云计算的安全机制

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63567

Vikas Kumar

引用次数: 0

Application of Drone Technology in Construction Industry 无人机技术在建筑行业的应用

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63354

S. M. Wandare

引用次数: 0

Economic Optimization and Performance Enhancement of Rooftop Solar Power Systems Using Concentrated Solar Technology and Advanced Materials 利用聚光太阳能技术和先进材料优化屋顶太阳能发电系统的经济性并提高其性能

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63691

Sanjay Kumar

{"title":"Economic Optimization and Performance Enhancement of Rooftop Solar Power Systems Using Concentrated Solar Technology and Advanced Materials","authors":"Sanjay Kumar","doi":"10.22214/ijraset.2024.63691","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63691","url":null,"abstract":"Abstract: This research investigates the economic optimization and performance enhancement of rooftop solar power systems through the integration of concentrated solar technology and advanced materials. The aim is to assess the viability and effectiveness of these innovations in both residential and commercial settings. By focusing on improving energy efficiency and reducing costs, the study provides a comprehensive economic perspective on the adoption of these advanced solar technologies. Key aspects of the research include the evaluation of lifecycle costs, energy yield, and payback periods, offering insights into the long-term financial benefits and feasibility of implementing such systems. The integration of concentrated solar technology enhances the intensity of solar energy captured, thereby significantly boosting the efficiency of rooftop solar panels. Advanced materials, such as perovskites, multi-junction cells, and nanomaterials, are examined for their potential to improve energy absorption, durability, and overall performance of solar panels. The research employs simulation software to model the performance of these optimized systems under various environmental conditions, providing a detailed analysis of their energy output and efficiency.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"47 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795155","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 Intelligence in Sustainable Restaurant Management 可持续餐厅管理中的实时智能

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63706

Anurag Bharati

{"title":"Real-time Intelligence in Sustainable Restaurant Management","authors":"Anurag Bharati","doi":"10.22214/ijraset.2024.63706","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63706","url":null,"abstract":"Abstract: The growing field of real-time intelligence (RTI) in sustainable restaurant management addresses the imperative to enhance restaurant efficiency and sustainability through data-driven strategies. As the restaurant industry faces pressure to balance environmental impact with service quality, embracing modern technologies becomes crucial. This study aims to explore and assess the potential of RTI systems for managing reservations and predicting food demand in sustainable restaurants. The methodology involves rigorous desk-based research, drawing from reputable scholarly sources, industry reports, and credible online platforms. Findings highlight the multifaceted benefits of RTI, including data-driven optimization of labor, inventory, and green initiatives. RTI also optimizes table bookings and resource allocation, minimizing wait times and food waste for a more sustainable operation. However, data privacy concerns present challenges that demand comprehensive strategies, including privacy-by-design principles and adherence to regulatory standards. Future recommendations encompass cloud-based deployment, structural evolution, data and machine learning enhancements, and further refinements. This research contributes to advancing the integration of RTI systems to foster efficient, sustainable, and customer-centric restaurant management practices.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"42 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795169","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

Design of Radial Flux PM Synchronous Motor for EV Applications 为电动汽车应用设计径向磁通永磁同步电机

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63668

Marapally Sai Charan

引用次数: 0

Fabrication and Automation of Drilling Machine by Arduino Control 利用 Arduino 控制装置实现钻孔机的制造和自动化

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63657

G. Lokesh

{"title":"Fabrication and Automation of Drilling Machine by Arduino Control","authors":"G. Lokesh","doi":"10.22214/ijraset.2024.63657","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63657","url":null,"abstract":"Abstract: For precision workpiece manufacturing, the system should have good dimensional accuracy and surface finish. In applications such as drilling, punching, marking, boring, tapping, etc., the workpiece is first positioned, and then the tool executes its action while the moving axis remains stationary. In the traditional method of such applications, manufacturers use very expensive CNC machines to program the cycle and perform the same work. Large manufacturers can afford such expensive machines, but for the small machinery manufacturing industry, we must consider low-cost solutions that can provide highquality output. In this study, we tried to propose a low-cost design that can be used to achieve functions similar to CNC. By applying this machine in industry, multiple generations can be obtained in a short time. It is very difficult to estimate the drilling depth when manually drilling with a traditional drilling machine, and the work will usually fail due to over-drilling. In many cases, it is difficult to measure the depth after the drilling is completed; especially the depth of the fine hole cannot be measured. Therefore, an automatic drilling machine that performs the drilling function according to the generated drilling depth and transmitted to the control circuit is indispensable; therefore, undertaking the study, it exposed the technology of the dedicated drilling machine. The automatic drilling machine designed here is very useful for the mechanical workshop. The machine is built with power feed technology and is designed to drill the job to a certain specified depth.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"40 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795440","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

Predictive Model for Student’s Academic Performance Using Machine Learning Techniques 利用机器学习技术预测学生学习成绩的模型

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI: 10.22214/ijraset.2024.63659

Abeer Ali Saeed Amer

引用次数: 0