RETRACTED ARTICLE: A new approach for prediction of lung carcinoma using back propogation neural network with decision tree classifiers

The load flow analysis project was carried out using the Newton-Raphson's iteration technique and a multiobjective method was suggested to minimize power loss, increase bus voltage, reduce operating costs, and con-How to cite this article: Sundaravazhuthi V, Alli Rani A, Manoj Kumar M. A computing method-based rearrangement of network protocols to improvise quality factors of FACTS devices and sensors using Newton-Raphson technique.

Section: Background Studymentioning

confidence: 99%

A computing method‐based rearrangement of network protocols to improvise quality factors of FACTS devices and sensors using Newton‐Raphson technique

Sundaravazhuthi

Rani

Kumar

2020

“…So far, there exist several routing protocols have been developed for varied purposes. Some protocols work on the detection of vehicular density to select its routing path.…”

Section: Introductionmentioning

confidence: 99%

Routing using reinforcement learning in vehicular ad hoc networks

Saravanan

Ganeshkumar

2020

In vehicular ad hoc networks (VANETs), the frequent change in vehicle mobility creates dynamic changes in communication link and topology of the network. Hence, the key challenge is to address and resolve longer transmission delays and reduced transmission stability. During the establishment of routing path, the focus of entire research is on traffic detection and road selection with high traffic density for increased packet transmission. This reduces the transmission delays and avoids carry‐and‐forward scenarios; however, these techniques fail in obtaining accurate traffic density in real‐time scenario due to rapid change in traffic density. Thus, it is necessary to create a model that efficiently monitors the traffic density and assist VANETs in route selection in an automated way with increased accuracy. In this article, a novel machine learning architecture using deep reinforcement learning (DRL) model is proposed to monitor and estimate the data essential for the routing protocol. In this model, the roadside unit maintains the traffic information on roads using DRL. The DRL predicts the movement of the vehicle and makes a suitable routing path for transmitting the packets with improved transmission capacity. It further uses predicted transmission delays and the destination location to choose the forwarding directions between two road safety units (RSUs). The application of DRL over VANETs yields increased network performance, which provides on‐demand routing information. The simulation results show that the DRL‐based routing is effective in routing the data packets between the source and destination vehicles than other existing method.

“…During the decision‐making process, the usage of machines is subjected to the efficiency of the approved semantic model. The importance of using computational methods grows to the extent that the amount of information available to support decision making exponentially increases . Generally, retrieve data from the lexicon dictionary is very immersive process via the semantic rules with complicated vocabulary.…”

Section: Introductionmentioning

confidence: 99%

Improved fuzzy weighted‐iterative association rule based ontology postprocessing in data mining for query recommendation applications

Sumathi¹,

Akilandeswari²

2020

The usage of association rules is playing a vital role in the field of knowledge data discovery. Numerous rules have to be processed and plot based on the ranges on the schema. The step in this process depends on the user's queries. Previously, several projects have been proposed to reduce work and improve filtration processes. However, they have some limitations in preprocessing time and filtration rate. In this article, an improved fuzzy weighted‐iterative concept is introduced to overcome the limitation based on the user request and visualization of discovering rules. The initial step includes the mix of client learning with posthandling to use the semantics. The above advance was trailed by surrounding rule schemas to fulfill and anticipate unpredictable guidelines dependent on client desires. Preparing the above developments can be imagined by the use of yet another clever method of study. Standards on guidelines are recognized by the average learning professionals.