| S.No | Title | Author | Description | Download | |
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| 1 | The Study Focuses On Iterations Of The Sylow Theorems And The Characteristics Of Their Applications | Sahera Begum |
In this paper, we will discuss the concept of group and we will discuss the different groups like as dihedral group and the order of alternative groups, symmetric group, quaternion group etc. The sylow theorems are three powerful theorems. In modern algebra which helps us to show that group of certain order is not simple |
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| 2 | A High-Speed Communication System Is Based On The Design Of A Bi-NoC Router, Which Uses An Advanced FIFO Structure | 1.M Murali, 2.A.R.V.S.Gupta, 3. M Kanka Durga |
The Network on Chip (NoC) has emerged as an effective solution for intercommunication infrastructure within System on Chip (SoC) designs, overcoming the limitations of traditional methods that face significant bottlenecks. However, the complexity of NoC design presents numerous challenges related to performance metrics such as scalability, latency, power consumption, and signal integrity. This project addresses the issues within the router's memory unit and proposes an enhanced memory structure. To achieve efficient data transfer, FIFO buffers are implemented in distributed RAM and virtual channels for FPGA-based NoC. The project introduces advanced FIFO-based memory units within the NoC router, assessing their performance in a Bi-directional NoC (Bi-NoC) configuration. The primary objective is to reduce the router's workload while enhancing the FIFO internal structure. To further improve data transfer speed, a Bi-NoC with a self-configurable intercommunication channel is suggested. Simulation and synthesis results demonstrate guaranteed throughput, predictable latency, and equitable network access, showing significant improvement over previous designs. |
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| 3 | Machine Learning-Powered Web Application For Predicting And Identifying Fake Job Listing | 1.KANAKALA SS PRAVEEN KUMAR,2.Dr P VAMSI KRISHNA RAJA, 3.B.R. AMBEDKAR KOTA |
This paper proposes an automated system that leverages machine learning-based classification methods to identify fraudulent job postings on the web. Various classifiers are employed to validate the fake posts, and the outcomes are compared to determine the most effective job scam detection strategy. The system aids in discerning fake job advertisements among numerous posts. Two primary types of classifiers are utilized: single classifiers and ensemble classifiers. The test results indicate that ensemble classifiers outperform single classifiers in detecting scams. |
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| 4 | This Study Examines The Effectiveness Of Talent Procurement Through The Implementation Of Digital Recruitment | DATLA YASODA LAKSHMI |
In the world with high technology and fast forward mindset recruiters are walking/showing interest towards E-Recruitment. Present most of the HRs of many companies are choosing E-Recruitment as the best choice for recruitment. E-Recruitment is being done through many online platforms like Linkedin, Naukri, Instagram , Facebook etc. Now with high technology E-Recruitment has gone through next level by using Artificial Intelligence too. |
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| 5 | Evidence From India Demonstrates The Impact Of Capital Structure On The Performance Of Firms | 1.S Maheshwari, 2.Dr Vikas Deepak Srivastava |
In the present research, an evaluation is conducted to determine the influence of capital structure on the performance of Indian enterprises. The capital structure of a company is often recognised as an important component that has the capacity to influence the continuous success of the company. A total of 2121 wholesale trade and manufacturing enterprises that are listed on the Bombay Stock Exchange (BSE) were included in the sample that was collected for the research. The results of this research, which were calculated using a Panel data model over the period of time spanning from the fiscal year 2018 to 2023, indicate that leverage does not have a substantial impact on the performance of the sample. |
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| 6 | Role Of Artificial Intelligence In Human Resources Management | 1.B Santhosh Kumar, 2.Dr Vikas Deepak Srivastava |
Working remotely or work from home is now new normal in this COVID 19. Face to face interaction and rushed workstation is now avoided due to social distancing and most of the targets or job has been done thorough online mode. In this era, technology gained momentum which resultant into growth or application of artificial intelligence in various functions of management. It helps the organizations to work in faster way and efficient way to complete the work. Like any other functions AI also enhanced the function of HR which begin with the automated recruitment process to performance appraisal and T&D. The present articles analyze the role of AI in various HR functions. It also tries to explore various opportunities and challenges of AI in HRM. The article has concluded that a role of AI is very important to carry out the various functions of human resource department where by AI can handle recruitment, hiring, performance appraisal , T&D, allocating the Jobs, reducing workload at workplace and enriching workplace efficiency. The study will also give a brief understanding of the future goal of artificial intelligence. |