Author: IJRSML
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Security Considerations in Large-Scale Data Ingestion Pipelines
Large-scale data ingestion pipelines form the backbone of modern data-driven enterprises, enabling the efficient transfer, processing, and analysis of vast amounts of information. However, as these systems scale, they become increasingly susceptible to a myriad of…
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Optimizing Neural Network Performance Through Adaptive Learning Algorithms
Optimizing neural network performance through adaptive learning algorithms has been a key research focus from 2015 to 2024, driving improvements in convergence speed, generalization, and model efficiency. While substantial advancements have been made in adaptive techniques,…
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ગુણોત્સવ ૨.૦ કાર્યક્રમ પરત્વેના સરકારી પ્રાથમિક શાળાના શિક્ષકોના વલણોનો અભ્યાસ
રણજીત એસ.ડાભી પીએચ.ડી સ્કોલર ૧ પ્રસ્તાવના ગુજરાત રાજ્યમાં સરકારી વ્યવસ્થામાં અભ્યાસ કરતા પ્રાથમિક કક્ષાના બાળકોના વાંચન,લેખન અને ગણનના કેટલા કૌશલ્યો વિદ્યાર્થીઓએ હસ્તગત કર્યા તેનું આંકલન કરવા ગુજરાત રાજ્ય સરકારે ગુણોત્સવ ૨.૦ કાર્યક્રમ અમલમાં મુક્યો છે.વર્ગખંડ શિક્ષકોને…
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Vol. 13, Issue 3, March 2025
PUBLISHED: 2025-02-28 Pages Original Research Article ગુણોત્સવ ૨.૦ કાર્યક્રમ પરત્વેના સરકારી પ્રાથમિક શાળાના શિક્ષકોના વલણોનો અભ્યાસ DOI: https://doi.org/10.63345/ijrsml.v13.i3.1 રણજીત એસ.ડાભી Download PDF 1-8 Optimizing Neural Network Performance Through Adaptive Learning Algorithms DOI: https://doi.org/10.63345/ijrsml.v13.i3.2 Vishesh Narendra Pamadi1…
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Domain-Driven Design for Complex eCommerce Platforms
Domain-Driven Design (DDD) is a strategic approach to software development that emphasizes understanding and modeling the business domain as a means to create robust and scalable systems. In the context of complex eCommerce platforms, DDD offers…
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Agile Methodologies in Data Engineering Projects: Promoting Collaboration and Adaptability
— Agile methods, which were initially designed for software development, have increasingly been applied to data engineering initiatives. Agile methods focus on iterative development, flexibility, and teamwork, which are especially beneficial in the context of data-driven…
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Building Robust Data Pipelines: Real-Time Data Processing with Spark, Kafka, and StreamSets
— In modern data-driven environments, the ability to process and analyze real-time data streams efficiently has become crucial for businesses aiming to make timely, informed decisions. This paper explores the integration of three powerful technologies—Apache Spark,…
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Troubleshooting Common Control System Issues
Control systems play a crucial role in various industries, ensuring that processes run efficiently and safely. However, like any complex system, control systems can encounter issues that hinder their performance. Common problems in control systems include…
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API Integrations for Enterprise Systems: A Case Study with Coupa, Workday, and Others
In today’s rapidly evolving digital landscape, enterprises increasingly rely on robust API integrations to streamline operations and foster real-time data exchange across various platforms. This study examines the strategic implementation of API integrations in enterprise systems,…
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Advances in Data Engineering for AI-Powered Regulatory Compliance Systems
Advances in data engineering for AI-powered regulatory compliance systems are revolutionizing how organizations manage complex regulatory environments. By integrating cutting-edge data engineering techniques with artificial intelligence, modern compliance systems are becoming more agile, scalable, and accurate.…