S. Selvam

Multi-Agentic Workflows and Long-Term Memory Use Cases in AI-Builder

Sudha Murthy, S. Selvam, Martin Welß

Developments in Artificial Intelligence (AI) today have sparked growing interest in topics such as agentic workflows and Long-Term Memory (LTM) architectures, which extend the capabilities of Large Language Models (LLMs) beyond their current limitations. Agentic workflows represent a significant paradigm shift by …

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An Effective Techniques Using Apriori and Logistic Methods in Cloud Computing

S. Selvam

This paper presents a creativity data prefetching scheme on the loading servers in distributed file systems for cloud computing. The server will get and piggybacked the frequent data from the client system, after analyzing the fetched data is forward to the client …

in (code pays fourni par la source)

A Prefetching Technique using Apriori and Logistic Methods for the DFS in Cloud

V. Thilaganga, S. Selvam

This paper presents an creativity data prefetching scheme on the loading servers in distributed file systems for cloud computing. The server will get and piggybacked the frequent data from the client system, after analyzing the fetched data is forward to the client …

A Proficient Algorithm for Compression and Storage of Two-Tone Image

S. Selvam, S. Thabasu Kannan

Since 1990s , there has be a swift, increase in computers, storage media and digital image taking devices, which enables a large number of digital information and store in computer readable formats. Image compression is an important issue in internet, mobile communication, …

in (code pays fourni par la source)

Analysis of the major issues in Cloud Computing Environments

S. Selvam, S. Thabasu Kannan

Cloud computing is a model for enabling service user’s ubiquitous, convenient and on-demand network access to a shared pool of configurable computing resources. Cloud computing is a promising technology to facilitate development of large-scale, on-demand, flexible computing infrastructures. But without security embedded …

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An Integration of Genetic Algorithm and Projected Clustering for Optimization of Content Based Image Retrieval System

S. Selvam, S. Thabasu Kannan

In recent years especially in the last decade, the rapid development in computers, storage media and digital image capturing devices enable to collect a large number of digital information and store the minicomputer readable formats. The main objective of this paper is …

in (code pays fourni par la source)

Image retrieval with full range auto regressive model based on texture edge shape and color features

S. Selvam