Prediction of neurological disorders using optimized neural network

Kshirsagar, Pravin R.; Akojwar, Sudhir G.

doi:10.1109/scopes.2016.7955731

Cited by 19 publications

(11 citation statements)

References 19 publications

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“…In the present study, the sorting of alternative ways to improve the flow and geometric parameters in a solar heat collector was provided by Target. Implemented and the optimal parameters are set the option was obtained based on the coding system [23]. The optimization algorithm can also be used to determine the optimal set of scanning parameters.…”

Section: Optimizationmentioning

confidence: 99%

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Understanding MCDM Preference Relations Index Method and Its Application

2022

jbab

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Custom table (PSI) method. Priority selection coding was developed by Mania & Butt (2010) to solve MCDM problems. As proposed, it is not necessary to assign comparative importance between attributes. Choosing a desirable machine is an important concern for the manufacturing company. The selection process has some important selection properties and the task of this process is to select the preferred machine from among the multiple candidate machines. The problem of machine selection is a problem that is determined by many characters. This paper solves the problem of machine selection, which generates an optional selection code in a Flexible production cell. A case study is used to demonstrate that the proposed method is effective and feasible. This article explores the use of the MCDM System of Choice (PSI) method to address various decision-making issues commonly encountered during the design phase of a production system life cycle. To demonstrate the feasibility, applicability, and accuracy of the PSI method in solving the decision-making problem at the design stage of the product life cycle, five examples are cited from the literature and compared with the results obtained by past researchers. Research has concluded that the BSI method is logical and highly relevant to material selection issues. The choice of marketing area is an important factor in sales activities. Many factors are required in choosing a marketing area, including rental prices, area, audience, and distance. For a decision to select this marketing area to be effective, the hotel needs a decision support system that can provide the best possible service to guests and deliver the right decision in implementing alternatives, as there are responsibilities and responsibilities of many departments

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Section: Optimizationmentioning

confidence: 99%

“…Malarvizhi Maniet.al / REST Journal on Banking, Accounting and Business, 1(2) 2022,[20][21][22][23][24][25][26] …”

mentioning

confidence: 99%

Understanding MCDM Preference Relations Index Method and Its Application

2022

jbab

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“…This comparative take a look at is primarily based on the total wide variety of repetitions and the overall analysis duration. Finally, the effectiveness of particular techniques could be standardized and higher methods will be added [11] The numerical incorporation rankings of the DR calculation for the single-level autonomous framework exhibit that REMT and MFT strategies work on the nature of joining from one to endlessness for straight issues. Nonetheless, these Projects elevate one to two combination guidelines for nonlinear investigation.…”

Section: Non-linear Analysismentioning

confidence: 99%

Investigation of Non Linear Analysis w.r.t. Dynamic Relaxation

2022

Data Analytics and Artificial Intelligence

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Dynamic relaxation is a number system that, among other things, can be used to "shape-detect" cable and fabric structures. Dynamic relaxation is a number system, among other things, cable and fabric Structures can be used to "shape-find". Its purpose is to find the geometry in which all forces are in equilibrium. In the past it was live modeling Made by, using chains and weights (see Got) or soap films, capable of detecting "minimal surface". The dynamic relaxation method is based on generating mass at the nodes by defining the continuum under consideration and the relationship between the nodes in terms of stiffness (restricted element) See also method). Under the influence of loads this system oscillates about equilibrium. Leap Frog integration and speed are followed by a re-processing or simulation of each pseudo-operating process in a timely manner, based on an update of the geometry associated with Varlet integration. Dynamic in the early stages of development the mode of relaxation is perceived as a technique of finite difference in numbers. It first analyzes the structures used to make, and then bone which is the mass of the structure given at the given points on the surface (i.e. nodes) is considered to have accumulated. Accumulated mass structure is an unbalanced oscillation of equilibrium under the influence of forces. Over time, it loses moisture and relaxes under the influence. Restoration plan, timely one Pseudo dynamics refers to the process of achieving a stable balance of the system by simulating the process. In its original form, this time uses idle time, anesthesia time and time increments. Dynamic Relaxation Method (DR) in Chapter One Introduced, which is a set of different equations or groups of different equations Solves natural and fractional difference equations in conjunction with finite differential method (FT).

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“…Further, logical reasoning is also presented that determines the widespread feature of application process. Another application is emphasized on healthcare technologies which are used to detect the presence of coronavirus in many conflict zones [12][13][14]. However, only challenges have been discussed, but diagnosis and early treatment methods are not projected which leads to high state of confusion in application sequence.…”

Section: Literature Surveymentioning

confidence: 99%

“…Furthermore, Vitabile et al [15] suggest a natural method using artificial intelligence for all healthcare applications where the perception of locating affected individuals has been examined with big data storage [16,17]. In these case studies, it is possible to evaluate the presence of diseases using wireless sensors, but if the same has been changed to nanosensors, then, accuracy of identical process will increase to a higher extent [13,14].…”

Section: Literature Surveymentioning

confidence: 99%

Impact of Big Data Analysis on Nanosensors for Applied Sciences Using Neural Networks

Shitharth¹,

Meshram

Kshirsagar³

et al. 2021

Journal of Nanomaterials

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In the current-generation wireless systems, there is a huge requirement on integrating big data which can able to predict the market trends of all application systems. Therefore, the proposed method emphasizes on the integration of nanosensors with big data analysis which will be used in healthcare applications. Also, safety precautions are considered when this nanosensor is integrated where depth and reflection of signals are also observed using different time samples. In addition, to analyze the effect of nanosensors, six fundamental scenarios that provide good impact on real-time applications are also deliberated. Moreover, for proving the adeptness of the proposed method, the results are equipped in both online and offline analyses for investigating error measurement, sensitivity, and permeability parameters. Since nanosensors are introduced, the efficiency of the projected technique is increased by implementing media access control (MAC) protocol with recurrent neural network (RNN). Further, after observing the simulation results, it is proved that the proposed method is more effective for an average percentile of 67% when compared to the existing methods.

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Prediction of neurological disorders using optimized neural network

Cited by 19 publications

References 19 publications

Understanding MCDM Preference Relations Index Method and Its Application

Understanding MCDM Preference Relations Index Method and Its Application

Investigation of Non Linear Analysis w.r.t. Dynamic Relaxation

Impact of Big Data Analysis on Nanosensors for Applied Sciences Using Neural Networks

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