<?xml version='1.0' encoding='UTF-8'?><rss version='2.0'><channel><title>Volume 9 Number 3 (March )</title>
		<link>http://ijaems.com/</link>
		<description>Open Access international Journal to publish research paper</description>
		<language>en-us</language>
		<date>March </date><item>
		<title>A Survey on Decentralized e-health record with health insurance synchronization</title>
		<description>In the medical field, electronic health records (EHR) serve a critical function that benefits both healthcare providers and patients. Many cloud-based solutions for medical record exchange have been offered, but the credibility of a third-party cloud service is questioned due to the centralized approach. As a result, a decentralized blockchain system for sharing electronic health records has been established that does not rely on third-party services. Existing services, on the other hand, exclusively collect data from medical tests. They are ineffective at sharing data streams that are continuously created by various sorts of devices. The information gathered is shared with laboratories and medical institutions for future research. Furthermore, current techniques are too rigid to accommodate metadata modification effectively. Decenrod proposes a medical data-sharing scheme that combines blockchain, electronic health records, and a structured peer-to-peer network based on InterPlanetary File System (IPFS) techniques to address the above efficiency issues in existing medical data-sharing and storage services. A session-based healthcare data-sharing strategy has been designed, according to Decenrod, which allows for more flexibility in data sharing. According to the evaluation results, Decenrod can improve efficiency and meet security criteria in data exchange by implementing Decentralized EHR. The information gathered is shared with laboratories and medical institutions for future research.</description>
		<link>http://ijaems.com/detail/a-survey-on-decentralized-e-health-record-with-health-insurance-synchronization/</link>
		<author>Praveenkumar P, Shre Aurobind Raam T, Vignesh Vaithialingam N, Mahavarun M</author>
		<pdflink>http://ijaems.com/upload_images/issue_files/1IJAEMS-10320231-ASurvey.pdf</pdflink>
                
		</item><item>
		<title>Artificial Intelligence Tutelage System</title>
		<description>E-learning, often known as &quot;online learning,&quot; &quot;virtual learning,&quot; &quot;remote learning,&quot; and other similar terms, is an alternative to traditional classroom instruction. &quot;Distance education,&quot; &quot;digital learning,&quot; or &quot;mobile learning.&quot; E-learning involves using several distinct technologies, including the web, open broadcast, loop, cable, microwave, broadband lines, fibre optics, satellite, wireless communications equipment, audio/video conferencing, and others, for one-way or two-way transmission. To improve educational knowledge, e-learning makes use of interactive technology and communication infrastructure. It has the ability to change how we typically teach and learn across the board. It will improve standards and increase long-term learning involvement. Although it cannot completely replace teachers and lecturers, it will improve the quality and scope of their instruction and reduce the time spent on administration. Each learner will be changed to reach his or her full potential, and it will make it easier to give an academic force the freedom to change. It makes a very ambitious educational system for an emerging learning society feasible.  As demand grows, there is a need to standardise the E-learning system and to use new technologies to raise the standard of the current system. Despite the fact that many corporations and academic institutions have previously adopted various standards, there are still certain issues with these standards&#039; benefits and drawbacks that must be addressed by incorporating new technical standards into the current norms to improve their usability and systematicity</description>
		<link>http://ijaems.com/detail/artificial-intelligence-tutelage-system/</link>
		<author>Dr. S. Balaji, Kumanan, Irfan Ahamed, Piraisanthan</author>
		<pdflink>http://ijaems.com/upload_images/issue_files/2IJAEMS-10320234-Artificial.pdf</pdflink>
                
		</item><item>
		<title>A Review: Aeronautical Components and Systems Should have their Weight Reduced throughout the Design Process</title>
		<description>Lightweight requires cutting-edge materials and imaginative engineering to achieve the same or better technical performance with less material. This approach has been widely used in automobiles, fashion, and packaging, and the aviation sector may benefit from it. Traditional lightweight methods have used high-performance materials like composites, structural optimization using computationally-aided engineering, and cutting-edge manufacturing processes including additive manufacturing, foam metals, and hot forming. This article will examine the most prevalent lightweight technologies and their possible usage in aviation, such as power plants and airframe components. Solar-powered aircraft wings require improvement and are open to lightweight technology. High aspect ratios cause non-linear distortion, aileron reversal, flutter, and rigid-elastic coupling. Lightweight aircraft, UAVs, and rocket subsystems are all being considered. Cutting-edge optimization methods may optimize structural elements and geometrical parameters for optimum structural stiffness, least mass, and energy storage. Additive manufacturing may create composite or multi-material components that can serve several purposes.</description>
		<link>http://ijaems.com/detail/a-review-aeronautical-components-and-systems-should-have-their-weight-reduced-throughout-the-design-process/</link>
		<author>Raj Kumar, Kedar Narayan Bairwa</author>
		<pdflink>http://ijaems.com/upload_images/issue_files/3IJAEMS-10320233-AReview.pdf</pdflink>
                
		</item><item>
		<title>Bank offered rate based on Artificial Intelligence</title>
		<description>The rise of event streaming in financial services is growing like crazy. Continuous real-time data integration and AI processing are mandatory for many use cases. Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.</description>
		<link>http://ijaems.com/detail/bank-offered-rate-based-on-artificial-intelligence/</link>
		<author>Lakshmi Prabha, Karthikeyan.T, Sasikumar.P, Mohanraj.D</author>
		<pdflink>http://ijaems.com/upload_images/issue_files/4IJAEMS-10320235-Bankoffered.pdf</pdflink>
                
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		<title>Adoption of Digital Learning Technology: An Empirical Analysis of the Determinants in Telecom Sector</title>
		<description>Technology has advanced significantly from the analogue period to the digital era. Digital Learning Technology (DLT) is a learning paradigm based on the use of ubiquitous latest technologies, by using smart devices. It can be described as a learning environment that is assisted in daily life by wireless networks, mobile, and embedded computers. It aims to offer content and interaction to students wherever they are, at any time. The learning process has advanced thanks to the technology revolution, which has also fundamentally altered how knowledge is shared and learned. At present, there exist other frameworks too, but they are centered towards different paradigms, and point of view pertaining to DLT with its emphasis on Telecommunication Sector has not been taken into consideration. As, existing frameworks are centered towards different environments hence there exists a need to add dimensions of Empowered Learner, Digital Citizen, Knowledge Curator, Innovative Designer, Computational Thinker and Creator, Communicator &amp; Global Collaborator. These have not been integrated together in existing available research. The study will ascertain level of knowledge of DLT and examined factors which affect the adoption rate, use, and role of DLT in telecoms setups. The results of this research will help create a framework that, if used in any academic or learning setting in a technology-based firm.</description>
		<link>http://ijaems.com/detail/adoption-of-digital-learning-technology-an-empirical-analysis-of-the-determinants-in-telecom-sector/</link>
		<author>Abdul Basit</author>
		<pdflink>http://ijaems.com/upload_images/issue_files/5IJAEMS-10320237-Adoption.pdf</pdflink>
                
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