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Articles de revues sur le sujet « Advanced API Solutions »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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Seth, Dhruv Kumar, Karan Kumar Ratra, Rangarajan Lakshminarayanachar, Swamy Athamakuri, and Aneeshkumar Sundareswaran. "Pattern Play: Advanced API Integration for Cutting-Edge Applications." International Journal for Research in Applied Science and Engineering Technology 12, no. 7 (2024): 1529–40. http://dx.doi.org/10.22214/ijraset.2024.63786.

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Abstract: API integration can be regarded as the foundation of the construction of modern software systems with a high level of interaction. In this article, the author goes further into the specifics of complex and sophisticated API integration while at the same time outlining patterns, architectural models, and methods that allow developers to build new-generation solutions. It starts with the fundamentals of APIs; this will look at RESTful and GraphQL, security measures adopted, and how data is managed. The discourse continues to explain design patterns such as Facade, Adapter, proxy, obser

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Denys, Drofa. "Integrating Advanced API Solutions into Full-Stack Web and Mobile Applications to Optimise User Experience." International Journal of Current Science Research and Review 08, no. 05 (2025): 2086–100. https://doi.org/10.5281/zenodo.15366207.

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Abstract : The impact of integrating Stripe, Firebase and OpenAI in advanced API solutions, which is investigated in this research, is to optimize user experience (UX) in web and mobile applications. Based on a case study analysis of actual applications that have already adopted these APIs, the study uses empirical data collection, performance metrics analysis, and user feedback analysis to test whether these APIs are effective or not. Experiments are performed to analyze API integration, and the performance of the application before and after API integration is compared. The success rate of t

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Malar Mangai Kondappan. "The Role of API integration in modern insurance platforms." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 2422–33. https://doi.org/10.30574/wjaets.2025.15.1.0497.

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This article investigates the significance of Application Programming Interfaces (APIs) in enabling seamless integration between different insurance systems. By examining case studies and real-world applications, it highlights how APIs facilitate the exchange of data between disparate systems, thereby enhancing operational efficiency and improving customer experiences. The article explores the evolution of system integration in insurance, from legacy methods to modern API-first approaches, and examines various types of APIs within insurance ecosystems. Through detailed case studies, the articl

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Ravinder Ramidi. "Cloud-Based API Gateways for Seamless Multi-Platform Integration." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 2466–503. https://doi.org/10.32628/cseit25112723.

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Cloud-based API gateways offer vital solutions for integrating systems across diverse environments in today's multi-cloud landscape. These gateways provide centralized control for managing, securing, and optimizing API traffic across distributed systems, addressing challenges organizations face when operating across multiple platforms. Key gateway functions include request routing, protocol translation, authentication, rate limiting, caching, lifecycle management, and monitoring capabilities. Major providers—AWS, Azure, and Google Cloud—offer solutions with unique strengths suitable for differ

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Chowlur Revanna, Jai Keerthy, Emine Arikan, NandKumar Niture, and Nushwan Yousif B. Al-Nakash. "Advanced Route Optimization using Hybridized Salesforce Geopointe Package." ITM Web of Conferences 53 (2023): 03005. http://dx.doi.org/10.1051/itmconf/20235303005.

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The study explores how Geopointe, a route optimization tool, affects the effectiveness of industrial supply chains and proposes a novel method for route optimization that is used in the IT industry. Outdated solutions have been retired as Google Maps and its API have been improved. Route optimization is the process of determining the fastest and most economical path for your distribution network between nodes. By improving routes, both the productivity and environmental impact of mobile workers will increase. Along with route optimization, these two-technique based API will be compared to othe

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Hervás, Ballesteros Raquel, Virginia Francisco, EUGENIO PABLO CONCEPCION, Sevilla Antonio García, and Gonzalo Méndez. "Creating an API Ecosystem for Assistive Technologies Oriented to Cognitive Disabilities." IEEE Access 12 (October 29, 2024): 163224–40. https://doi.org/10.1109/ACCESS.2024.3487308.

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This paper presents the development and implementation of an API (Application Programming Interface) ecosystem designed to support the creation of assistive technologies for individuals with cognitive disabilities. Leveraging the principles of microservices and an API-centered approach, this ecosystem enhances collaboration among developers, reduces the cost of creating accessible tools, and provides highly adaptable and customizable applications. The study details architectural decisions, including the use of GraphQL for flexibility, and demonstrates the benefits of a service-based architectu

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Venkatesh Nagubathula. "Document Automation in Enterprise Integration: A Technical Framework for Cloud-Based SaaS Solutions." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 486–512. https://doi.org/10.32628/cseit25112385.

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Document automation within Enterprise Integration Systems (EIS) has emerged as a transformative force in modern business environments, enabling seamless data exchange and process optimization. This comprehensive framework addresses the multifaceted challenges of integrating automated document processing into cloud-based SaaS solutions. The architecture encompasses cloud infrastructure utilizing containerized deployment and edge computing, connectivity layers with API gateways and event-driven architectures, advanced document processing engines powered by machine learning, and robust security f

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Galimullin, Niyaz R., and Elina R. Guzueva. "DEVELOPING INTERACTIVE WEB APPLICATIONS USING MODERN JAVASCRIPT FRAMEWORKS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 11/7, no. 152 (2024): 167–78. https://doi.org/10.36871/ek.up.p.r.2024.11.07.017.

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The paper discusses the development of interactive web applications using modern JavaScript frameworks such as React, Vue.js and Angular. Architectural solutions, ad-vantages of component approach, state management techniques and performance optimization are analyzed. Special attention is given to API integration, developing progressive web applica-tions (PWAs), and using advanced technologies to create scalable, highly interactive applications. Current trends and perspectives of JavaScript frameworks are discussed.

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Yarlagadda, Koteswara Rao. "Transforming Industries Through Unified API Management: A Technical Deep Dive." European Journal of Computer Science and Information Technology 13, no. 4 (2025): 71–84. https://doi.org/10.37745/ejcsit.2013/vol13n47184.

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The rapid evolution of unified API management has transformed enterprise integration across diverse industries, reshaping how organizations operate in the digital landscape. This comprehensive exploration delves into the architectural frameworks and implementation strategies across the healthcare, retail, logistics, and financial services sectors. Organizations have substantially improved operational efficiency, system performance, and market responsiveness through advanced integration patterns. Integrating sophisticated security measures, real-time monitoring capabilities, and standardized be

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Pasupuleti, Naveen Srikanth. "Modernizing Data Engineering: Leveraging Advanced Distributed Frameworks, Hybrid Storage Solutions, and Machine Learning Driven Architectures." European Journal of Computer Science and Information Technology 13, no. 17 (2025): 12–26. https://doi.org/10.37745/ejcsit.2013/vol13n171226.

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In today's rapidly evolving data engineering landscape, professionals must continuously adapt to emerging technologies and methodologies to build efficient, scalable, and resilient systems. This article explores cutting-edge innovations across key domains, including distributed processing frameworks, database architectures, API evolution, workflow orchestration, containerization, and the convergence of data engineering with machine learning. By examining advancements in technologies such as Apache Spark, hybrid SQL/NoSQL databases, GraphQL, Airflow, Kubernetes, and cloud-native architectures,

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Sasank Tummalpalli. "Network automation in multi-cloud environments: Current state, challenges and future prospects." International Journal of Science and Research Archive 14, no. 1 (2025): 1570–78. https://doi.org/10.30574/ijsra.2025.14.1.0233.

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The article examines the evolution and implementation of network automation in multi-cloud environments, addressing the growing complexity of managing network infrastructure across different cloud service providers. The article explores how organizations leverage automation solutions to enhance operational efficiency, reduce configuration errors, and maintain consistent security standards. The article reveals significant improvements in resource utilization, compliance adherence, and operational cost reduction by analyzing current technologies, including Infrastructure as Code, API-driven auto

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Dorai Surendar Chittoor. "Cloud Computing and API Integration in Banking: A Transformative Framework for Digital Innovation and Operational Excellence." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 167–75. https://doi.org/10.32628/cseit25111211.

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This article examines the transformative impact of cloud computing and API integration on the banking industry, focusing on their combined role in driving digital innovation and operational efficiency. The article investigates how financial institutions leverage cloud platforms to achieve scalability, cost optimization, and enhanced data management capabilities while utilizing APIs to create open banking ecosystems and enable embedded finance solutions. Through a mixed-method analysis combining case studies and qualitative assessments, this article demonstrates how the convergence of cloud tec

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Omorinsola Bibire Seyi- Lande, Ebunoluwa Johnson, Gbenga Sheriff Adeleke, Chinazor Prisca Amajuoyi, and Bayode Dona Simpson. "Enhancing business intelligence in e-commerce: Utilizing advanced data integration for real-time insights." International Journal of Management & Entrepreneurship Research 6, no. 6 (2024): 1936–53. http://dx.doi.org/10.51594/ijmer.v6i6.1207.

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This paper explores how advanced data integration techniques and real-time insights can significantly enhance BI in the e-commerce sector. By leveraging methods such as ETL, ELT, data virtualization, API integration, and streaming data integration, e-commerce businesses can achieve a comprehensive, unified view of their data. The integration of real-time data enables dynamic pricing, personalized customer experiences, efficient inventory management, proactive fraud detection, and improved customer support. Despite challenges such as data silos, data quality issues, scalability, security, and t

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Muljono, Natalia Diva, Ridwan Sanjaya, and Erdhi Widyarto. "Design and Build a Web Service Based Customer Service Dashboard for Decision Making on CV. IT Pro Solutions." Journal of Business and Technology 5, no. 1 (2025): 19–26. https://doi.org/10.24167/jbt.v5i1.11428.

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The increasingly advanced development of information technology has influenced overall business development, including the management of distribution company sales teams. Sales Force Automation (SFA) is a system or application designed to increase efficiency in managing sales activities. SalesMania which is one of the products from CV. IT Pro Solutions which provides a sales team management platform to assist managers in managing sales teams starting from scheduling visits and monitoring daily activities. However, as SalesMania grew, the administration experienced problems in monitoring busine

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Kanthed, Surbhi. "Rest vs. GraphQL: Comparative Analysis of API Design Approaches." International Journal of Multidisciplinary Research and Growth Evaluation. 4, no. 1 (2023): 984–91. https://doi.org/10.54660/.ijmrge.2023.4.1.984-991.

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Application Programming Interfaces (APIs) are a critical pillar of modern distributed systems and microservices architectures. Two predominant approaches to API design—Representational State Transfer (REST) and GraphQL—offer distinct advantages and trade-offs in performance, scalability, and complexity. REST’s resource-based, stateless design has provided a dependable standard for over a decade, while GraphQL, introduced by Facebook, has attracted significant attention due to its client-driven query model and ability to minimize over-fetching and under-fetching of data. This white paper provid

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Adeniji, Tolulope Ayodele, and Samuel Ayooluwa Otolorin. "Leveraging AI in Application Integration and API Development." Journal of Advances in Mathematics and Computer Science 40, no. 7 (2025): 68–85. https://doi.org/10.9734/jamcs/2025/v40i72022.

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This research investigates the transformative role of artificial intelligence (AI) and generative AI in revolutionizing application integration and API development, addressing limitations of traditional methods and fostering intelligent, adaptive workflows. The study analyzes challenges in conventional integration such as data complexity, rigid workflows, skills shortages—and evaluates the applicability of AI technologies, including machine learning and natural language processing (NLP), while assessing organizational outcomes. A comprehensive literature review highlights AI’s evolution from m

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Researcher. "SMART CRP USING AI: ENHANCING CUSTOMER RELATIONSHIP PLATFORM WITH ARTIFICIAL INTELLIGENCE." International Journal of Artificial Intelligence Research and Development (IJAIRD) 2, no. 2 (2024): 56–64. https://doi.org/10.5281/zenodo.13189241.

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Customer Relationship Platforms (CRP) are essential tools for managing customer interactions, but traditional systems often fall short in handling the exponential growth of data and the need for real-time insights. This manuscript explores the transformative potential of integrating Artificial Intelligence (AI) into CRP systems, presenting a model for evolving conventional CRP into smart, autonomous solutions. By leveraging AI technologies such as Machine Learning, Natural Language Processing (NLP), and Predictive Analytics, businesses can enhance data processing, automate routine tasks, and d

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Pradeep Kiran Verravalli. "AI-driven CRM solutions with cloud architecture and process automation: A comprehensive analysis." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 1905–11. https://doi.org/10.30574/wjaets.2025.15.1.0432.

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Customer Relationship Management (CRM) has transformed from simple contact management tools into advanced AI-driven platforms. These utilize cloud architecture and process automation to redefine modern business interactions, enabling personalized and scalable customer experiences. This comprehensive transformation enables enterprises to harness data-driven insights and deliver personalized customer experiences at an unprecedented scale. The convergence of artificial intelligence, cloud technologies, and system integration capabilities has created a new paradigm in how organizations manage cust

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Dupin, Michael, and M. Furkan Oruç. "Enhancing market research with a GPT-based API wrapper: A leap towards advanced data analysis." Applied Marketing Analytics: The Peer-Reviewed Journal 10, no. 4 (2025): 348. https://doi.org/10.69554/awct1053.

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This paper introduces an innovative application programming interface (API) wrapper built around OpenAI’s GPT, designed to significantly enhance the capabilities of large language models (LLMs) for market research. Traditional applications of GPT in survey crafting, response analysis and open-ended query interpretation, although effective, are limited by the standard interfaces provided. These interfaces (such as ChatGPT) often fall short when handling complex analytical tasks and ensuring data security, particularly in data-sensitive sectors like healthcare and finance. Our proposed API wrapp

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Dornipadu Karthika Chaitrika, Chillale Lalitha, Erthineni Gnanasai, Deshai Keerthi, and K. Mudduswamy. "Detecting Hate Speech in Tweets with Advanced Machine Learning Techniques." International Journal of Scientific Research in Science, Engineering and Technology 12, no. 3 (2025): 49–55. https://doi.org/10.32628/ijsrset2512312.

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Hate speech detection is a critical aspect of online content moderation, ensuring that digital platforms remain safe and inclusive. With the exponential rise of social media, harmful content such as hate speech and offensive language has increased, necessitating automated solutions for effective moderation. This project employs Natural Language Processing (NLP) and Machine Learning (ML) techniques to classify tweets into three categories: Hate Speech, Offensive Speech, and No Hate or Offensive Speech. By leveraging a Decision Tree Classifier, the system efficiently detects and categorizes harm

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.Jayasri, K., T. Abhilash, S. Sai Harshitha, P. Sai Kiran, CH .Avinash, and Mr D. Sudheer. "E V Charge Locator." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43527.

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The growing adoption of electric vehicles (EVs) emphasizes the critical need for efficient and accessible EV charging infrastructure. The "E V Charge Locator" is an innovative web application designed to enhance the EV user experience by providing a streamlined platform for locating nearby charging stations, booking charging slots, and planning trips. Leveraging the power of technologies like Google Maps API, SQL, JSP, and robust algorithms, the application offers real-time updates on charging station availability, shortest route suggestions, and user-friendly booking options. Key features inc

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Nethaji Kapavarapu. "The Impact of Cloud Technology and Integration Solutions on Public Sector Regulatory Systems." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 432–41. https://doi.org/10.32628/cseit25111242.

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The integration of cloud technology and advanced digital solutions has revolutionized public sector regulatory systems, transforming traditional paper-based processes into efficient, automated operations. This transformation encompasses comprehensive frameworks for compliance monitoring, enforcement mechanisms, and public service delivery. The implementation of sophisticated API architectures and real-time monitoring capabilities has enhanced system interconnectivity while ensuring robust security protocols. The adoption of cloud-based platforms has significantly improved citizen engagement th

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Van Impe, William F., and Shin-Tower Wang. "The advanced p-y method for analyzing the behaviour of large-diameter monopiles supporting offshore wind turbines." E3S Web of Conferences 205 (2020): 12008. http://dx.doi.org/10.1051/e3sconf/202020512008.

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The analyses of monopile foundations have been heavily based on the p-y response curves (to represent lateral soil resistances) published by API RP 2GEO (2011) and DNV (2013), which are proven reliable and applicable for piles with smaller diameters that were normally used for jacket structures in the offshore industry. However, concerns have been raised about the validity of semi-empirical p-y criteria for large-diameter piles. Wind turbine monopiles have a significantly larger diameter and smaller length to diameter ratio than typical piles used for offshore structures. The ratio of the leng

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Ms. T. Jayasridevi, Kukunarapu Manideep, Paka. Kalyant, and K. Venkat. "Advanced E-Waste Facility Locator: Harnessing Convolutional Neural Networks for Sustainable Environmental Impact and Recycling Solutions." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 10 (2024): 2477–83. http://dx.doi.org/10.47392/irjaeh.2024.0339.

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This research paper focuses on addressing the environmental harm caused by the increasing number of electronic devices in the modern world. As technology advances, the usage of electronic devices such as smartphones, tablets, and laptops has surged. While some of these devices can be repaired when damaged, many are either left unused at home or discarded in regular waste bins, leading to significant environmental hazards in the coming years. Although e-waste facility centres are available, users are often reluctant to visit these locations. To tackle this issue, we propose a solution in the fo

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Bharat Kumar Reddy Kallem. "Data integration challenges in financial data engineering: Strategies and solutions." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 1763–69. https://doi.org/10.30574/wjarr.2025.26.1.1125.

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Financial data integration presents multifaceted challenges for institutions operating in highly regulated environments with complex technical landscapes. This article explores the obstacles facing financial organizations attempting to harmonize data across disparate systems while maintaining compliance with evolving regulatory frameworks. By examining legacy infrastructure constraints, data source heterogeneity, and API limitations, the article identifies critical pain points in current integration practices. Strategies for breaking down organizational silos are presented, including governanc

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Chandra Sekhara Reddy Adapa. "Cloud-based Master Data Management: Transforming Enterprise Data Strategy." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 1057–65. https://doi.org/10.32628/cseit25112436.

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Cloud-based Master Data Management (MDM) solutions are revolutionizing how organizations handle critical data assets in today's rapidly evolving digital landscape. These solutions offer enhanced scalability, flexibility, and real-time access capabilities that traditional on-premises systems struggle to match. By leveraging advanced technologies such as artificial intelligence, machine learning, and microservices architecture, cloud-based MDM enables organizations to achieve superior data quality, improved operational efficiency, and better business outcomes. The integration of blockchain techn

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Li, Ji Shun, L. H. Chen, and L. Li. "Parametric Design of Tractor Configuration Using API Based on CATIA." Key Engineering Materials 455 (December 2010): 411–16. http://dx.doi.org/10.4028/www.scientific.net/kem.455.411.

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The traditional shape design method of tractor is mainly completed based on the manual design. Messages are transmited mainly through material object, model, blueprint and template. The material object and model even have a small change that will cause massive chain-reactions such as tedious blueprint revision. And there will be a great many of problem, such as the development cycle of tractor to be long, the accumulative error of design to be big, the development cost to be high and product universalization and serialized degree to be low. This problem is key problem to be solved for shape de

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Ravikumar, Thinnatti Palanichamy. "INTEGRATING DUAL ERP SYSTEMS: LEVERAGING TRIGGER MECHANISMS AND POLLING WITH MULESOFT AND MESSAGE QUEUE." International Journal of Core Engineering & Management 6, no. 10,2020 (2020): 236–45. https://doi.org/10.5281/zenodo.15543348.

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The integration of dual Enterprise Resource Planning (ERP) systems poses formidable challengesin ensuring reliable, synchronous data flow, particularly when bridging disparate vendors orsystem versions. Traditional approaches, such as flat file transfers and Electronic DataInterchange (EDI), struggle to meet the high-volume, dynamic requirements of modern enterprises,leading to delays, data inconsistencies, and operational inefficiencies. This study proposes aninnovative integration framework that leverages advanced technologies, including MuleSoft andMessage Queue (MQ), to streamline the buy-

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Ketankumar Hasmukhbhai Patel. "Advanced integration patterns for multi-cloud salesforce ecosystems: Architectural approaches and implementation strategies." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 2351–59. https://doi.org/10.30574/wjaets.2025.15.2.0753.

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This article presents a comprehensive analysis of integration patterns for Salesforce-centric enterprise architectures in multi-cloud environments. It examines the design considerations, implementation strategies, and architectural patterns that enable seamless data flow between Salesforce and other major cloud platforms. The article explores both synchronous and asynchronous integration approaches, with particular emphasis on event-driven architectures and their application in distributed systems. The article evaluates integration technologies native to the Salesforce ecosystem, including Mul

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Farooqui, Ms Maryam, Mrs Novera, N. Vinay Yadav, GM Vamshi, Jashwanth Jashwanth, and Manish Manish. "BRUCE: A Next Generation Voice Assistant for Enhanced User Interaction and Task Execution." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43144.

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The demand for voice-activated technologies has been increasing rapidly since the early 2000's particularly for personalized assistant systems, this highlights the need for solutions that are tailored for different user needs. Bruce-A desktop voice Assistant addresses this challenge by offering two distinct modes a basic mode for simple tasks and an Advanced mode for complex tasks and interactions, Bruce is designed to be easy to use for people of all ages. With a simple toggle, users can switch between basic and advanced modes depending on what they need. The basic mode handles simple tasks l

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Chandramohan, Muthuselvam. "Modernizing Financial Technology: A Two-Tier Architecture for Digital Excellence." European Journal of Computer Science and Information Technology 13, no. 38 (2025): 47–59. https://doi.org/10.37745/ejcsit.2013/vol13n384759.

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The evolving landscape of financial technology has necessitated a fundamental shift in banking infrastructure design and implementation. Modern financial institutions face the challenge of managing dual transaction types - System of Record (SoR) and System of Reference (SoRef) - while maintaining operational efficiency and customer satisfaction. The transition from traditional mainframe-centric architectures to a sophisticated two-tier model represents a pivotal advancement in banking technology. This modernization enables institutions to optimize mainframe utilization for critical financial t

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Pérez-Hernández, Guillermo, and Peter W. Hildebrand. "mdciao: Accessible Analysis and Visualization of Molecular Dynamics Simulation Data." PLOS Computational Biology 21, no. 4 (2025): e1012837. https://doi.org/10.1371/journal.pcbi.1012837.

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We present mdciao, an open-source command line tool and Python Application-Programming-Interface (API) for easy, one-shot analysis and representation of molecular dynamics (MD) simulation data. Building upon the widely used concept of residue-residue contact-frequencies, mdciao offers a wide spectrum of further analysis and representations, enriched with available domain specific annotations. The user-friendly interface offers pre-packaged solutions for non-expert users, while keeping customizability for expert ones. Emphasis has been put into automatically producing annotated, production-read

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.Pawar, A. N. "Smart IQ Using AI." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem51069.

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Smart IQ Using AI is an innovative artificial intelligence-based system designed to interpret and analyze hand-drawn inputs, such as mathematical expressions, scientific diagrams, logical reasoning problems, and general sketches, to provide intelligent feedback. This system combines a user-friendly canvas drawing interface with a powerful multimodal AI backend using Google’s Gemini API. The core objective is to assist students, educators, and visual learners by recognizing patterns in user sketches and returning meaningful, accurate interpretations or solutions. The project utilizes a React fr

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Kranthi Kumar Pasunuri. "Digital Workflow Automation in Telecommunications: A Systems Integration Approach to Operational Excellence." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 20–28. https://doi.org/10.32628/cseit25111205.

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The digital transformation of business processes through workflow automation represents a significant paradigm shift in operational efficiency, particularly within the telecommunications industry. This article examines the implementation and impact of digital workflow automation systems, focusing on their role in streamlining complex business processes through API integration and advanced software solutions. The article systematically analyzes telecommunications service providers and investigate how automated workflows enhance cross-functional operations, specifically in network provisioning,

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Sable, Sumit Shriram. "Blood Donation System using Geo-Tracking and Machine Learning: A Comprehensive Survey." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31306.

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This survey addresses blood donation by making use of advanced technologies to make the process easy and efficient. It emphasizes the importance of tailored systems and highlights successful studies implementing innovative solutions. Incorporating various technologies like Geographical Tracking and Machine Learning, the project explores various prediction algorithms and libraries used to build an efficient, innovative, and easy-to-use solution. It recommends using APIs, Java, and Python libraries for enhancing system functionality. The survey aims to help select the appropriate tools and techn

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Sable, Sumit Shriram. "Blood Donation System using Geo-Tracking and Machine Learning." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34328.

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This paper addresses blood donation by making use of advanced technologies to make the process easy and efficient. It emphasizes the importance of tailored systems and highlights successful studies implementing innovative solutions. Incorporating various technologies like Geographical Tracking and Machine Learning, the project explores various prediction algorithms and libraries used to build an efficient, innovative, and easy-to-use solution. The paper aims to demonstrate and explain in detail the various tools and techniques used to attempt to bring this idea to fruition, and the benefits th

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Lopez-Toledano, Miguel A., Vaibhav Saxena, Jason D. Legassie, et al. "Advanced Lipid Technologies® (ALT®): A Proven Formulation Platform to Enhance the Bioavailability of Lipophilic Compounds." Journal of Drug Delivery 2019 (July 8, 2019): 1–10. http://dx.doi.org/10.1155/2019/1957360.

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Despite recent advances, the drug development process continues to face significant challenges to efficiently improve the poor solubility of active pharmaceutical ingredients (API) in aqueous media or to improve the bioavailability of lipid-based formulations. The inherent high intra- and interindividual variability of absorption of oral lipophilic drug leads to inconsistent and unpredictable bioavailability and magnitude of the therapeutic effect. For this reason, the development of lipid-based drugs remains a challenging endeavour with a high risk of failure. Therefore, effective strategies

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Macko, Dávid, Ľubomír Hrmo, Jozef Hrbček, and Peter Nagy. "Real-Time Control System for Model Railway Based on SIMIS W Interlocking System." Applied Sciences 15, no. 1 (2024): 180. https://doi.org/10.3390/app15010180.

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Modern railway signalling systems are critical for ensuring the safe and efficient operation of railway networks. Educational institutions play a vital role in training students to design and implement these systems, replicating practical scenarios to bridge the gap between theory and application. Advanced electronic interlocking systems, such as SIMIS W, are widely used to manage complex signalling requirements in real-world railway environments. Existing model railway systems lack the capability to simulate advanced interlocking systems with real-time performance. This paper presents a model

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Datta, N. Bala Suresh. "Holistic Cyber Threat Intelligence System with Bert for Advanced Threat Detection." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 2662–64. https://doi.org/10.22214/ijraset.2025.68780.

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Cyber threats are evolving at an unprecedented rate, making traditional security measures insufficient in detecting and mitigating sophisticated attacks. This project introduces an AI-powered Cyber Threat Intelligence System that leverages machine learning, natural language processing (NLP), and automated threat analysis to enhance cybersecurity defenses. The system integrates data from multiple threat intelligence sources, such as OSINT feeds, security reports, and real-time network traffic, to identify, classify, and prioritize security threats. By employing a BERT-based NLP engine, the syst

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RIPOLLES, Jean, Thibaud THéNINT, and Isabelle SCHMICH YAMANE. "Introducing uncertainties in acoustic engineering studies." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 8 (2024): 3907–14. http://dx.doi.org/10.3397/in_2024_3390.

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PIBE (Prévoir l'Impact du Bruit des Éoliennes - Predicting the impact of wind-turbine noise) is a research project funded by ANR (French National Research Agency) which main objectives are to better understand the sound level created by wind-turbines and assess noise-reduction solutions. One topic of this project focuses on the propagation of uncertainties. Code_TYMPAN(tm) is an open-source software for calculating industrial noise in the environment. Its open architecture, implemented by a Python API, allows advanced users to build and solve models programmatically. This open architecture mad

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Nagrath, Madhur, Poonam Chaudhary, and Meghna Sharma. "Leveraging Deep Pre-trained Networks for Advanced Skin Lesion Classification for Human Monkeypox Detection." International Journal of Experimental Research and Review 47 (April 30, 2025): 146–58. https://doi.org/10.52756/ijerr.2025.v47.012.

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In response to recent human monkeypox outbreaks, the imperative of swiftly identifying and isolating infected individuals to curb transmission underscores the significance of innovative solutions. This study introduces an Android mobile application harnessing deep learning capabilities to address this urgent need. Developed using Java within Android Studio and Android SDK 12, the application leverages the device's camera via the Camera 2 API for real-time image capture. The captured video images are processed by a deep convolutional neural network (CNN) embedded within the device. Training the

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León-García, Fernando, Jose M. Palomares, Meelad Yousef-Yousef, Enrique Quesada-Moraga, and Cristina Martínez-Ruedas. "A Low-Cost Remotely Configurable Electronic Trap for Insect Pest Dataset Generation." Applied Sciences 14, no. 22 (2024): 10307. http://dx.doi.org/10.3390/app142210307.

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The precise monitoring of insect pest populations is the foundation of Integrated Pest Management (IPM) for pests of plants, humans, and animals. Digital technologies can be employed to address one of the main challenges, such as reducing the IPM workload and enhancing decision-making accuracy. In this study, digital technologies are used to deploy an automated trap for capturing images of insects and generating centralized repositories on a server. Subsequently, advanced computational models can be applied to analyze the collected data. The study provides a detailed description of the prototy

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Amit, Gupta. "Streamlining Multilingual UI Test Automation with Dynamic Localization." European Journal of Advances in Engineering and Technology 6, no. 6 (2019): 52–59. https://doi.org/10.5281/zenodo.11438529.

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UI test automation for applications supporting multiple locales poses significant challenges due to varying UI elements, labels, and languages. Ensuring that automated tests accurately reflect the user interface across different languages and regions requires addressing the complexities of internationalization (i18n). Traditional methods, which rely on static and hard coded identifiers and labels, are often inadequate as they can be error-prone and difficult to maintain. This paper proposes an innovative solution that focuses on delivering UI element IDs and labels dynamically at test automati

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Jinka, Purushotham. "The Role of Cloud Technologies in Modernizing Financial Data Infrastructure." European Journal of Computer Science and Information Technology 13, no. 36 (2025): 122–31. https://doi.org/10.37745/ejcsit.2013/vol13n36122131.

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Cloud technologies have revolutionized the financial services industry by transforming traditional infrastructure into agile, efficient, and secure digital environments. Financial institutions are rapidly adopting cloud solutions to enhance operational capabilities, reduce costs, and improve service delivery. The integration of advanced analytics, machine learning, and API-first architectures has enabled banks to offer personalized services, detect fraud more effectively, and process transactions in real-time. Hybrid cloud strategies have emerged as the preferred model, allowing organizations

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Jiang, Peng, and Xiaodong Cai. "A Survey of Semantic Parsing Techniques." Symmetry 16, no. 9 (2024): 1201. http://dx.doi.org/10.3390/sym16091201.

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In the information age, semantic parsing technology drives efficiency improvement and accelerates the process of intelligence. However, it faces complex understanding, data inflation, inappropriate evaluation, and difficult application of advanced large models. This study analyses the current challenges and looks forward to the development trend of the technology. Specific approaches include: this study adopts a systematic review method and strictly follows the PRISMA framework, deeply analyzes the key ideas, methods, problems, and solutions of traditional and neural network methods, and explo

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Dobbala, Manoj, and Mani Lingolu. "Conversational AI and Chatbots: Enhancing User Experience on Websites." American Journal of Computer Science and Technology 7, no. 3 (2024): 62–70. http://dx.doi.org/10.11648/j.ajcst.20240703.11.

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This research paper explores the transformative potential of conversational AI and chatbots in enhancing website user experience (UX). It addresses two key research questions: How do these technologies improve user engagement and satisfaction on websites, and what are the primary challenges in implementing them, along with effective solutions. The study examines case studies across diverse industries, including e-commerce, travel, healthcare, and finance, to gain insights into the underlying technologies powering conversational AI and chatbots, such as natural language processing (NLP), natura

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Jigar Shah. "Scalable Machine Learning Infrastructure on Cloud for Large-Scale Data Processing." Tuijin Jishu/Journal of Propulsion Technology 42, no. 2 (2023): 45–53. http://dx.doi.org/10.52783/tjjpt.v42.i2.7166.

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This research focuses on exploring the state of affairs using advanced computing paradigms that include cloud computing scenario, quantum computing, and HPC for vast machine learning and remote sensing solutions. Aspects of this conventional cloud-based machine learning model’s limitations are discussed, with an introduction to collaborative machine learning frameworks, as well as how they operate with on-device resources and cloud environments. In this article, to provide a convenient API to the application insertion layer, deployment, data pipelines, and optimized compute containers such as

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Li, Bowen, and Chuan Zhang. "Fine-tuned large language models into traditional back-end web architectures." Computer and Telecommunication Engineering 3, no. 1 (2025): 3168. https://doi.org/10.54517/cte3168.

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<p>Integrating Large Language Models (LLMs) into traditional back-end systems can significantly reduce development overhead and enhance flexibility. This paper presents a novel approach using a fine-tuned LLama3 model as a modular back-end component capable of processing JSON-formatted inputs and outputs. We developed a specialized dataset through advanced prompt engineering with the Phi-3.5 model and fine-tuned LLama3 using Quantized Low-Rank Adaptation (QLoRA) on a single NVIDIA T4 GPU. An API layer was designed to facilitate seamless communication between clients and the LLM, effectiv

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Sumit Jain. "Unified Cloud ABM: Orchestrating personalized enterprise engagement through intelligent systems integration." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 2386–93. https://doi.org/10.30574/wjaets.2025.15.2.0798.

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This article examines the evolution and technological framework of cloud-based Account-Based Marketing (ABM) platforms, highlighting their transformative impact on enterprise sales strategies. Beginning with the historical development of ABM, the article explores the sophisticated architecture of modern platforms, including their integration capabilities with enterprise systems and complex data flow models. The article shows artificial intelligence applications within ABM, particularly machine learning algorithms for account prioritization, predictive analytics for content personalization, and

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Vijaya Kumar, Dr J. "IOT Based Health Care Wristband for Elderly People Using ESP32." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45603.

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Abstract:- With the increasing elderly population worldwide, there is a growing need for advanced healthcare solutions that offer real-time monitoring and timely medical assistance. This project focuses on the design and implementation of an IoT-based healthcare wristband for elderly people, utilizing the ESP32 microcontroller. The wristband is designed to monitor essential health parameters such as heart rate, body temperature, and physical activity. The system provides real-time data acquisition, analysis, and remote monitoring,enabling caregivers and medical professionals to track the healt

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