Papers by Venkata Dinesh Reddy Kalli
With the growing complexity and scale of distributed databases, traditional query optimization te... more With the growing complexity and scale of distributed databases, traditional query optimization techniques often struggle to keep pace with the dynamic nature of modern workloads. This paper explores the application of artificial intelligence (AI) approaches, including machine learning and reinforcement learning, for intelligent query optimization in distributed databases. By leveraging AI-driven models, query execution plans can be dynamically adjusted in real-time to account for workload shifts, resource availability, and network conditions, resulting in significant performance improvements. The study demonstrates how AI techniques can enhance query processing efficiency, reduce response times, and optimize resource utilization in distributed environments. Comparative analysis between AI-augmented and traditional query optimization strategies reveals notable gains in both system throughput and cost-effectiveness. These findings underscore the potential of AI to revolutionize database management, paving the way for more adaptive and scalable solutions in distributed data systems.
nternational journal of advanced research in computer and communication engineering, Nov 30, 2020
Wise Tutoring Systems (ITS) are intuitive learning conditions dependent on guidance helped by P.C... more Wise Tutoring Systems (ITS) are intuitive learning conditions dependent on guidance helped by P.C.s. The insight of these frameworks is, to a great extent, ascribed to their capacity to adjust to a particular understudy during the educating cycle. As a rule, the variation cycle depicts by three stages: (I) getting the data about the understudy, (ii) preparing the data to introduce and refresh an understudy model, also, (iii) utilizing the understudy model to give the transformation. In this paper, we considered viewpoints related to understudy displaying (S.M.) in Intelligent Tutoring Systems. First, we make a subjective examination of two procedures: Bayesian Networks (B.N.) and Case-based Reasoning (CBR) for S.M. We apply the two strategies to a contextual analysis concerning the advancement of an ITS for e-learning in the clinical space. At last, we talk about the outcomes acquired.
nternational journal of advanced research in computer and communication engineering, Apr 30, 2020
The development of software for medical device manufacturing is a delicate process from many poin... more The development of software for medical device manufacturing is a delicate process from many points of view, including protection and compliance with regulations. Medical device companies must be able to develop and show that they have carried out the development process over the entire life cycle of the product. Technology development included. As medical devices are increasingly sophisticated and software development regulations are some of the causes, we discuss how both factors have influenced the process of software development in a medical device manufacturing plant. We think the approach may have negative implications around the board. We also explored the utility of Lean Software Development because process consistency is required.
Introduction. Existing standards of heart rate variability (HRV) technology limit its use to sinu... more Introduction. Existing standards of heart rate variability (HRV) technology limit its use to sinus rhythm. A tiny low variety of extrasystoles is allowed if the device used has special procedures for the detection and replacement of attitude complexes. However, it's necessary to expand the indicated limits of the pertinency of the HRV technology. This especially regards the cases once the HRV technology appearance is promising within the medicine, as, parenthetically, in arrhythmia and chamber flutter Materials and Methods. All electrocardiogram measurements were performed on XAI-MEDICA® instrumentality and software package. The process of the obtained RR Series was disbursed mistreatment the software package Kubios® HRV normal. All counselled HRV characteristics for Time-Domain, Frequency-Domain, and nonlinear were calculated. The purpose of the work. The article presents an artificial intelligence (AI) procedure for detecting episodes of arrhythmias and reconstruction of core ...
IJARCCE, 2020
The development of software for medical device manufacturing is a delicate process from many poin... more The development of software for medical device manufacturing is a delicate process from many points of view, including protection and compliance with regulations. Medical device companies must be able to develop and show that they have carried out the development process over the entire life cycle of the product. Technology development included. As medical devices are increasingly sophisticated and software development regulations are some of the causes, we discuss how both factors have influenced the process of software development in a medical device manufacturing plant. We think the approach may have negative implications around the board. We also explored the utility of Lean Software Development because process consistency is required.
IJARCCE, 2020
Before entering the market, the health authorities like the FDA must approve pharmaceutical produ... more Before entering the market, the health authorities like the FDA must approve pharmaceutical products and medical devices. It is difficult to guarantee that the software is incorrect to prevent any effort to control medical information. All software is affected. But the correctness of medical experience is at least as critical in medical software as the correctness of the code itself. The medical software's contents can usually be measured, but the end-users have little time to do so or little incentive. The Internet allows non-professionals to provide commercial services. Several commercial platforms operate on the net for healthcare already. Since medical software is not guaranteed or regulated, anyone can sell medical software on the net. There is a risk that patients can use even though they are cautious enough not to use untested apps. In Finland, where more than 10% of the population uses the Internet on a weekly basis, there is a real problem. Inadequate services cannot be removed from the network and, therefore, high-quality services are necessary to direct users to use. The paper addresses various aspects of medical device evaluation.
A Qualitative Comparison of Techniques for Student Modeling in Intelligent Tutoring Systems
Proceedings. Frontiers in Education. 36th Annual Conference, 2006
Page 1. Session T1F 1-4244-0257-3/06/$20.00 © 2006 IEEE October 28 – 31, 2006, San Diego, CA 36th... more Page 1. Session T1F 1-4244-0257-3/06/$20.00 © 2006 IEEE October 28 – 31, 2006, San Diego, CA 36th ASEE/IEEE Frontiers in Education Conference T1F-13 A Qualitative Comparison of Techniques for Student Modeling in Intelligent Tutoring Systems ...
International Journal of Computer Science Trends and Technology, 2020
The dynamic world of big data in the healthcare sector characterized by huge numbers, complexity,... more The dynamic world of big data in the healthcare sector characterized by huge numbers, complexity, and speeds is also not suited to conventional research methods. Methods are especially required that can efficiently estimate models across comprehensive datasets of medical usage data, clinical data, personal computer data, and many other sources. While these data sets are quite large, they may also be very sparse (e.g., system data may only be accessible for a small subset of people), creating difficulties with conventional regression models. Most machine learning approaches successfully overcome these limitations but still are subject to the standard triggers of partiality that are typical in observatory studies. The models should be tested by standard design tests for researchers using machine learning techniques like a lasso or ridge regression.
International Journal of Computer Science Trends and Technology, 2020
Artificial intelligence (AI) can detect significant data set interactions and is commonly used fo... more Artificial intelligence (AI) can detect significant data set interactions and is commonly used for the expectation of outcomes, treatment, and diagnosis in several clinical conditions. For a range of health and research purposes, including disease identification, aligning man to chronic diseases, the delivery of health care, and the discovery of medicines, artificial intelligence (AI) shall be used or checked. In this article, we discuss the application of artificial intelligence (AI) in the modern healthcare system and the challenges of this system in detail. The description of work processes defines various types of artificial intelligence tools. In tissue engineering, alginate, a naturally available polymer found on the brown algae cell wall, is used for its biocompatibility, low cost, and fast friction.
International Journal of Advanced Research in Computer and Communication Engineering, 2020
Before entering the market, the health authorities like the FDA must approve pharmaceutical produ... more Before entering the market, the health authorities like the FDA must approve pharmaceutical products and medical devices. It is difficult to guarantee that the software is incorrect to prevent any effort to control medical information. All software is affected. But the correctness of medical experience is at least as critical in medical software as the correctness of the code itself. The medical software's contents can usually be measured, but the end-users have little time to do so or little incentive. The Internet allows non-professionals to provide commercial services. Several commercial platforms operate on the net for healthcare already. Since medical software is not guaranteed or regulated, anyone can sell medical software on the net. There is a risk that patients can use even though they are cautious enough not to use untested apps. In Finland, where more than 10% of the population uses the Internet on a weekly basis, there is a real problem. Inadequate services cannot be removed from the network and, therefore, high-quality services are necessary to direct users to use. The paper addresses various aspects of medical device evaluation.
International Journal of Advanced Research in Computer and Communication Engineering, Apr 23, 2020
The development of software for medical device manufacturing is a delicate process from many poin... more The development of software for medical device manufacturing is a delicate process from many points of view, including protection and compliance with regulations. Medical device companies must be able to develop and show that they have carried out the development process over the entire life cycle of the product. Technology development included. As medical devices are increasingly sophisticated and software development regulations are some of the causes, we discuss how both factors have influenced the process of software development in a medical device manufacturing plant. We think the approach may have negative implications around the board. We also explored the utility of Lean Software Development because process consistency is required.
Uploads
Papers by Venkata Dinesh Reddy Kalli