Exploring Recent Trends in Computer Vision

Kurinjimalar³

et al. 2022

abfs

In this paper we used WPM method; it is a unique combination of weight sum model and weight product model. Due to its mathematical simplicity and ability to deliver more Compared with WSM and WPM Accurate results. As an effective decision-making tool Now widely accepted methods. In decision-making theory, Weighted Sum Model (WSM), Weighted Linear Combination (WLC) or Also known as Simple Admission Waiting (SAW) is used to evaluate multiple alternatives based on a list of weighted objectives (WOT) criteria used to rank different alternatives. Weighted linear composition is an analytical method used when making multiple attribute decisions (MADM) or considering multiple attributes. The weighted average is the average type calculated by multiplying the weight (or probability) associated with a particular event or effect by its relative magnitude effect. The WPM methods is the most ideal solution Short-distance and negative-best the solution with the longest distance from the solution Determines, but the comparison of these distances Does not consider importance. From the result it is seen that Salem is got the first rank whereas is the Madurai is having the lowest rank.

Exploring the Possibility of Urban Agriculture Farn

Sathiyaraj¹,

Kurinjimalar³

et al. 2022

abfs

Sustainable Transportation Systems Analysis using WASPAS MCDM Method

Venkateswaran

Data Analytics and Artificial Intelligence

Selvam³

2022

In this form of analysis the WASPAS method is the most ideal solution Short-distance and negative-best The solution with the longest distance from the solution Determines, but the comparison of these distances Does not consider importance. From the result it is seen that Reliability is the first rank whereas is the Safety is having the lowest rank. Sustainable transportation systems are the need of modern times. There has been an unexpected growth in the number of transportation activities over years and the trend is expected to continue in the coming years. This has obviously associated environmental costs like air pollution, noise, etc. which is degrading the quality of life in modern cities. To cope with this crisis, municipal administrations are investing in sustainable transportation systems that are not only efficient, robust and economical but also friendly towards the environment. Sustainability has become an overarching concern for transportation policy and planning around the world. This article presents an approach for urban transport sustainability performance evaluation using fuzzy logic. This article presents a model for transport sustainability performance evaluation. Appropriate transport sustainability indicators were identified based on literature. Recently, sustainability has become a very important research area in transportation because of the dependencies between transportation, economic, and environmental systems. Alternative: Safety, Security, Reliability, Air pollutants, Noise. .Evaluation Preference: Cost benefits analysis optimization models, Life cycle analysis, Data analysis. WASPAS-Weighted Aggregated Sum Product Assessment. In this method from WASPAS in Sustainable Transportation Systems. From the result it is seen that Reliability and is the first rank whereas the Safety got is having the lowest rank.

Recent Advances in Selection Techniques for Image Processing

Sathiyaraj¹,

Vidhya³

2022

EAE

Self Cite

The parameters and modifying the code, the library allows students in image processing to learn practical methods. In addition, in addition to teaching programming in the "turtle graphics" paradigm, such as color and dimension and to introduce users to image ideas A new module is provided. Online gallery of examples, in addition to providing an overview of the available activity, commonly used in image processing Introduces several algorithms. These usually include an introduction to the package and an insight, for image processing ideas Provides introductions. Well documented application programming interface (API) contributes to the learning experience with tools that facilitate visualization, It also makes it easier to explore the effect of various algorithms and parameters. So, it is not surprising that there are so many Image processing algorithms for margin extraction, upgrade, rearrangement; data compression, etc. are unambiguous. Artifacts can also be introduced through digital image processing such as margin enhancement. Since artifacts can prevent diagnosis or provide incorrect measurements, it is important to avoid them or at least understand their appearance. It is clear that a pattern independent of the spatial size or scale of image features is required and only emphasizes the range of less-contrasting features. Diversified image processing has been extensively studied not only by computer scientists but also by neurophysiologists, and the approach to improving this image is currently being used in a clinical way. It is well known that the human visual system uses a multifaceted approach.