Notice Board :

Call for Paper
Vol. 6 Issue 3

Submission Start Date:
March 01, 2025

Acceptence Notification Start:
March 10, 2025

Submission End:
March 25, 2025

Final MenuScript Due:
March 31, 2025

Publication Date:
March 31, 2025
                         Notice Board: Call for PaperVol. 6 Issue 3      Submission Start Date: March 01, 2025      Acceptence Notification Start: March 10, 2025      Submission End: March 25, 2025      Final MenuScript Due: March 31, 2025      Publication Date: March 31, 2025




Volume VI Issue III

Author Name
Atharv Tiwari, Anshika Gangrade, Pritika Bahad, Diksha Bharawa
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 3
Abstract
The most used and efficient method of communication in recent times is an application called WhatsApp. WhatsApp chats consist of various kinds of conversations held among groups of people. This chat consists of various topics. This information can provide lots of data for the latest technologies such as machine learning. The most important thing for machine learning models is to provide the right learning experience which is indirectly affected by the data that we provide to the model. This tool aims to provide in depth analysis of this data which is provided by WhatsApp. Irrespective of whichever topic the conversation is based on, our developed code can be applied to obtain a better understanding of the data. The advantage of this tool is that it is implemented using simple python modules such as pandas, matplotlib, seaborn and sentiment analysis which are used to create data frames and plot different graphs, where then it is displayed in the flutter application which is efficient an
PaperID
2025/IJEASM/3/2025/3111

Author Name
Priyanka Kumari, Devendra Patle
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 3
Abstract
Multiprocessor System-on-Chip (MPSoC) architectures are widely used in high-performance computing, embedded systems, and real-time applications. A key challenge in MPSoC design is efficient communication between processing elements through shared bus architectures. Arbitration algorithms play a critical role in managing bus access, impacting performance, power consumption, and fairness. This paper presents an efficient arbitration algorithm designed to optimize latency, bandwidth utilization, and power efficiency while maintaining fairness in shared bus architectures. The proposed algorithm is evaluated through simulations and compared with existing arbitration schemes.
PaperID
2025/IJEASM/3/2025/3112