International journal of innovative research and creative technology

Abstract The healthcare sector faces growing threats from emerging quantum technologies that may compromise conventional encryption systems. Quantum Key Distribution (QKD) has become a promising solution to achieve information-theoretic security for medical data transmission, storage, and sharing. This review summarizes QKD principles, its applications in EHRs and IoMT, and its integration with p…

Software Defined Networking (SDN) is a modern networking approach that separates the control plane from the data plane, allowing centralized control and better network management. However, the centralized SDN controller is highly vulnerable to Distributed Denial of Service (DDoS) attacks, where attackers send a large volume of malicious traffic to overload the controller and disrupt network servi…

The present study was undertaken to study the seasonal algal diversity of Mahi Bajaj Sagar Dam at Borkheda village of Banswara district of Rajasthan state. From January to December 2023, the periodicity of Chlorophyceae algae of Mahi bajaj Sagar Dam,was investigated.In this study 29 species in all, representing 17 genera in the Chlorophyceae class, were found. The Chlorophyceae of Mahi Bajaj Saga…

This study explores the impact of a mobile-based stress management application on users’ mental health improvement, focusing specifically on App Engagement (AE) and Perceived Stress Reduction (PSR) as key predictors. A structured questionnaire was administered to 336 respondents from New York, with items rated on a five-point Likert scale. Using R Studio for statistical analysis, a multiple linea…

This study examines the impact of key computational variables—Degree of Parallelism (DP), Compute Utilization (CU), Bandwidth Throughput (BT), and Model Complexity (MC)—on Real-Time Detection (RTD) performance in distributed deep learning systems for autonomous vehicles. Using a structured questionnaire and a sample of 327 respondents from New York’s autonomous systems industry, the research appl…

The insurance industry is currently navigating a profound structural transformation, moving away from historical, manual-intensive underwriting toward a digital-first paradigm powered by artificial intelligence and high-dimensional data analytics. While machine learning (ML) architecture specifically deep learning and ensemble methodologies—have demonstrated the ability to reduce operational cost…

Manufacturing organizations are increasingly experiencing space challenges while also seeking to enhance efficiency and operational flexibility. Traditional responses, like expanding facilities, require a lot of money and cause problems with operations. Lean manufacturing principles, especially Kaizen-driven continuous improvement, offer a different way to get through by getting rid of waste and …

Oral traditions were used in ancient India as the main source of knowledge storage and transmission between generations. Prior to the invention of the written script, all forms of knowledge, including philosophy, science, literature, law and religion, were handed on orally, with the use of very complex mnemonic and pedagogical means. This paper will examine the techniques, ideals and effectivenes…

The National Education Policy (NEP) 2020 in India is a significant change in the direction towards outcome-based, learner-centered and competency-based education as opposed to content-based and rote-oriented education. The paper discusses how competency-based education (CBE) within the scope of NEP 2020 will influence the learning outcomes of students in the Indian school education system. Its po…

Delayed and sparse rewards present a fundamental challenge in reinforcement learning, degrading performance due to impaired temporal credit assignment. Traditional eligibility traces and multi-step returns propagate learning signals backward in time but implicitly assume timely reward observation, limiting effectiveness under delayed feedback. We propose Logic-Guided Eligibility Traces (LGET), a …

Go-to-market teams increasingly rely on technical workflows including data integration, automation, and custom tooling to execute sales and marketing strategies. Traditional approaches often require engineering resources for building integrations, automating processes, and developing custom applications, creating bottlenecks that slow GTM execution. Low-code and no-code platforms enable non-techn…

This paper presents a novel framework for intent-driven agentic systems, designed to comprehensively understand, plan, and execute human objectives. By integrating goal decomposition, dynamic tool utilization, and collaboration among multiple agents, this paradigm enables context-aware autonomous agents to operate end-to-end with enhanced flexibility and precision. The architecture supports the d…

Ayodhya is a city in Uttar Pradesh, India, on the banks of the Sarayu River. It is one of the most complicated and ever-changing holy places in the world. In Hinduism, it has been a tirtha, or a place to cross over and be rescued, for thousands of years. Jains, Buddhists, Sikhs, and Muslims have also found it to be very essential (Singh & Kumar, 2020; Kumar, 2022). This deep, complex sanctity…

Vacuum technology is a foundational enabler of semiconductor manufacturing. Nearly every critical process—thin film deposition, plasma etching, ion implantation, lithography, and contamination control—depends on the ability to create and maintain controlled vacuum environments [1], [6], [7]. As device geometries shrink to the nanometer scale and wafer sizes increase to 300 mm and beyond, the prec…

The emergence of the Data Lakehouse—fusing the scale of cloud object storage (AWS S3, Azure ADLS Gen2) with the transactional governance of a data warehouse—necessitates a robust mechanism for handling high-velocity event streams from Apache Kafka. This paper addresses the architectural challenge of reliably bridging Kafka topics to Lakehouse formats (Delta Lake, Apache Hudi, Apache Iceberg) whil…

The increasing sentiment of digitization in the financial industry is swiftly transitioning core banking technologies towards faster, reliable, and resilient systems. This is being demanded at scales that have never been experienced before, especially under unpredictable and high‐volume transaction demands. Established legacy-based monolithic architectures now face more challenges to support the …

This technical report addresses the architectural and tooling requirements necessary to achieve low-latency inference for personalized product recommendations within high-traffic e-commerce checkout flows. The temporal constraints imposed by the point-of-sale environment are exceptionally severe; empirical evidence suggests that system delays as minor as 100 milliseconds (ms) can correlate direct…

India faces significant vulnerabilities in its supply chains for nickel and cobalt, critical metals essential for stainless steel, high-temperature alloys, and lithium-ion batteries in the clean energy transition. Despite substantial domestic lateritic resources in regions like Odisha and Jharkhand, and potential offshore polymetallic nodules via the Deep Ocean Mission, India remains nearly 100% …

The rapid expansion of the Internet of Things (IoT) has necessitated a shift to distributed Edge environments, rendering traditional perimeter security obsolete and exposing scalability bottlenecks in centralized Zero-Trust Architecture (ZTA). This paper proposes a novel, decentralized ZTA framework that integrates Directed Acyclic Graph (DAG) distributed ledgers with Attribute-Based Access Contr…

Federated analytics offers a paradigm shift in analysis. This is due to the availability of insights of distributional data minus the burden of centralized data storage. Generally, this paper presents principles and methodological approach as used in federated analytics of statistical analysis of patterns detection within federated statistical analytics, an application that covers various strict …