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Journal articles on the topic 'Gradio Deployment'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Singh, Dr Amarnath. "Text To Image Generation Model: An Efficient Pipeline with Gradio Interface." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48639.

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Abstract— The field of text-to-image generation has witnessed remarkable advancements, enabling the transformation of textual descriptions into high-quality visual representations. This research delves into the technical implementation of the Segmind SSD-1B model [1], a distilled variant of Stable Diffusion, integrated with a Gradio-based user interface [2]. By leveraging pretrained diffusion models, we optimize the inference process to enhance computational efficiency and output quality. The incorporation of negative prompts serves to refine image generation [3], mitigating distortions and im

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Vishnoi, Gaurvi, Rahul Bansal, Arpit Garg, and Atyab Tosif. "Full Page Handwriting Recognition on CUDA enabled Docker." Journal of Artificial Intelligence and Imaging 1, no. 2 (2024): 26–33. http://dx.doi.org/10.48001/joaii.2024.1226-33.

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-Handwritten text recognition is essential for document digitization but often struggles with multiline content. This paper presents an integrated approach using TrOCR, a pre-trained Transformer model, combined with PaddleOCR for enhanced text detection. The integration, optimized with GPU acceleration and multi-threading within a CUDA-enabled Docker environment, addresses the challenges of full-page handwriting recognition. A user-friendly Flask API with a Gradio demo was developed for deployment. Experimental results demonstrate that the system significantly improves the accuracy of multilin

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Deepak Nair, Prof. "Legal Solutions - GenAI." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48096.

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Abstract—This paper presents LegalRAG Assistant, an AI-powered legal chatbot platform that leverages Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to provide accurate, context-aware responses to legal queries. The system integrates Indian legal frameworks including the Bharatiya Nyaya Sanhita (BNS) and RERA guidelines to support real-time legal consultation and document analysis. A structured pipeline was developed using vector embeddings (via Sentence-BERT) and FAISS for efficient semantic retrieval of legal texts, which are then fed into a fine

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Hawley, Scott H. "Development tools for deep learning models of acoustical signal processing." Journal of the Acoustical Society of America 151, no. 4 (2022): A230. http://dx.doi.org/10.1121/10.0011154.

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We present a survey of available frameworks for developing acoustical signal processing models based on deep neural networks. Given that this is a dynamic space with new frameworks, libraries, and even companies appearing on timescales measured in months, we provide an up-to-date assessment of the strength, popularity, and near-future directions of several tools and platforms available for research and product deployment for deep learning models of audio signal processing. Similarly, those new to these spaces may be unaware of software systems that will allow them to obtain and interrogate res

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Pany, Pratyush. "Reasoning Engine with Pre-Trained LLMs: An Operation GPT." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 2452–63. https://doi.org/10.22214/ijraset.2025.68761.

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Abstract: Recent developments in artificial intelligence, particularly with large language models (LLMs), have enabled machines to comprehend, generate, and respond to human language with unmatched precision. Nevertheless, most of these models are cloud-based and unsuitable for scenarios where data confidentiality, offline functionality, and immediate document comprehension are vital. This paper introduces Operation GPT, a robust, privacy-focused, and locally deployable system that allows users to interact intelligently with domain-specific documents using advanced language models. Operation G

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Farhan, Aaqil Durrani, Abdul Muttalib Mohammed, and Sheikh Umar. "Diabetes Prediction System Using Machine Learning." Journal of Advancement in Parallel Computing 8, no. 2 (2025): 9–16. https://doi.org/10.5281/zenodo.15308054.

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<em>Diabetes is a chronic health condition that affects millions of people worldwide, leading to severe complications if left undiagnosed or untreated. Early detection plays a critical role in managing diabetes effectively and reducing long-term health risks. Traditional diagnostic methods, such as blood tests, are often invasive, time-consuming, and require medical supervision. This research presents a machine learning-based system for predicting diabetes using patient health data. The study utilizes the PIMA Indian Diabetes Dataset, applying Random Forest Classifier due to its ability to han

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Udhika, Meghana Kotha, Gaddam Haveela, Reddy Siddenki Deepthi, and Saleti Sumalatha. "A comparison of various machine learning algorithms and execution of flask deployment on essay grading." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (2023): 2990–98. https://doi.org/10.11591/ijece.v13i3.pp2990-2998.

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Students’ performance can be assessed based on grading the answers written by the students during their examination. Currently, students are assessed manually by the teachers. This is a cumbersome task due to an increase in the student-teacher ratio. Moreover, due to coronavirus disease (COVID-19) pandemic, most of the educational institutions have adopted online teaching and assessment. To measure the learning ability of a student, we need to assess them. The current grading system works well for multiple choice questions, but there is no grading system for evaluating the essays. In thi

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Shynkarenko, Dmytro, and Andrii Kopp. "TOWARDS THE APPROACH TO BUILDING SMART CONTRACTS BASED ON BUSINESS RULES USING NATURAL LANGUAGE PROCESSING." Grail of Science, no. 22 (December 3, 2022): 144–50. http://dx.doi.org/10.36074/grail-of-science.25.11.2022.25.

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This paper considers the smart contracts development process based on business rules using natural language processing as the research object. The research subject includes software components for creating smart contracts based on business rules using natural language processing. The research aims to simplify the software component development for decentralized systems by using smart contracts generation from business rules written in natural language. This study considers smart contract development approaches and technologies, intelligent text processing methods, as well as software developme

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Rodríguez-Gasca, Efraín Andrés, Juan Pablo Rodríguez-Gasca, and Luz Karime Hernández-Gegen. "Impresora 3D open source desde el desarrollo de producto." Visión electrónica 1, no. 1 (2018): 22–27. http://dx.doi.org/10.14483/22484728.18355.

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El presente artículo muestra el proceso de desarrollo de una impresora por aporte de hilo fundido basado en la metodología QFD (Quality Function Deployment). El diseño y la manufactura del producto, están descritos a través de las actividades de Desarrollo conceptual, Diseño a nivel de sistemas y Diseño detallado, donde cada una de ellas es evaluada y detallada. De igual manera, se tuvo en cuenta el diagrama de Mudge, con el fin de establecer los requerimientos para el diseño de la impresora y su grado de importancia. Como resultado del proceso, fue diseñada una máquina de impresión 3d tipo Re

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Baikenych, Iryna-Anastasiia, and Yurii Shcherbyna. "SERVERLESS ARCHITECTURE OVERVIEW: AN IN-DEPTH EXPLANATION OF WHAT SERVERLESS ARCHITECTURE IS, ITS KEY COMPONENTS, BENEFITS, AND CHALLENGES." Grail of Science, no. 38 (April 29, 2024): 169–78. http://dx.doi.org/10.36074/grail-of-science.12.04.2024.028.

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Serverless architecture has emerged as a revolutionary paradigm in cloud computing, offering developers a scalable and cost-effective approach to building and deploying applications. This article provides a comprehensive overview of serverless architecture, focusing on its key components, benefits, challenges, and future trends. We delve into core components such as Function as a Service (FaaS), Backend as a Service (BaaS), and event-driven architecture, highlighting their roles in enabling developers to build highly scalable and responsive applications. Furthermore, we explore the benefits of

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Sacta Paida, Fatima Viviana, Daniela Renata Torres Abad, and Juan Pablo Vasquez Loaiza. "Estrategias de Mejora en Destilería Montreal: Un Enfoque QFD para el Posicionamiento Competitivo en Bebidas Alcohólicas." Compendium: Cuadernos de Economía y Administración 12, no. 1 (2025): 1. https://doi.org/10.46677/compendium.v12i1.1307.

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El análisis de calidad en cualquier área tiene como objetivo identificar las características fundamentales tanto para productores como para consumidores, permitiendo una evaluación integral del proceso de elaboración. El proceso de elaborar artesanalmente el licor está muy ligado al control de calidad, ya que desde la primera etapa se debe tener estándares de control que garanticen la misma, al ser un producto de consumo y también por ser necesarios para obtener los permisos de su comercialización. En la ciudad de Cuenca-Ecuador este es un mercado que se encuentra en crecimiento, y cada vez ap

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Ananth, Raghavendra, Panduranga Rao Malode Vishwanatha Rao, and Narayana Swamy Ramaiah. "An efficient Grain-80 stream cipher with unrolling features to enhance the throughput on hardware platform." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 1 (2024): 218–26. https://doi.org/10.11591/ijeecs.v33.i1.pp218-226.

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The stream cipher is a fundamental component of symmetric cryptography and offers unique implementation speed and scalability advantages. Additionally, the complexity of the cipher algorithm deployment environment forces new, appropriate designs and challenges on the already-existing cipher algorithms. To increase throughput, an efficient Grain-80 stream cipher with unrolling features is designed in this manuscript. The Grain-80 cipher uses an 80-bit key, and a 64-bit initialization vector (IV) and contains two feedback shift registers (linear and non-linear) and an output function. The regist

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Pablo, Miguel De Souza Sánchez, Ferrer Román Esther, and Iballa Naranjo Henríquez Helena. "INNOVACIÓN METODOLÓGICA DE LAS ACTIVIDADES DE DIBUJO DE LA TITULACIÓN DE ARQUITECTURA. Revisión del submódulo de dibujo del Grado en Fundamentos de la Arquitectura como adaptación al Espacio Europeo de Educación Superior." HUMAN REVIEW. International Humanities Review / Revista Internacional De Humanidades 12, Vol. 12 No. Monográfico (2023): Proposals for quality higher education / Propuestas para una educación superior de calidad (2023): 1–27. https://doi.org/10.37467/revhuman.v12.4712.

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<strong>Coordination and methodological innovation of the drawing activities of the degree in Architecture</strong> Abstract Through theoretical research and fieldwork about the adaptation of the architecture degree to the EHEA, and to be able to effectively and gradually deploy skills from the drawing submodule, the results of the coordination between subjects and a critical and comparative selection of learning activities are presented. This work also investigates the asymmetric distribution of the drawing subjects of the adaptation to the bologna plan, concluding with a proposal for indepen

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Alemany Costa, Josepa, Xavier Perramon Tornil, and Laura Panadès Estruch. "Las prácticas externas en el proceso de adaptación al EEES. El punto de vista de la primera promoción de grado en la UPF." REDU. Revista de Docencia Universitaria 12, no. 4 (2014): 115. http://dx.doi.org/10.4995/redu.2014.5617.

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<p>Para evaluar el proceso de adaptación de las prácticas a los nuevos grados en la Universitat Pompeu Fabra (UPF) se está realizando un estudio en tres fases: una primera de análisis de la situación antes de la implementación del EEES, una segunda para conocer las previsiones de cambios en la implementación desde el punto de vista de los coordinadores-responsables, y una tercera, actualmente en curso, para comprobar el nivel de satisfacción de los estudiantes. El trabajo que se presenta en este artículo se centra en la metodología para obtener estas opiniones de los estudiantes dirigida

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15

Oury, V., T. Leroux, O. Turc, et al. "Earbox, an open tool for high-throughput measurement of the spatial organization of maize ears and inference of novel traits." Plant Methods 18, no. 1 (2022): 96. https://doi.org/10.1186/s13007-022-00925-8.

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<strong>Background: </strong>Characterizing plant genetic resources and their response to the environment through accurate measurement of relevant traits is crucial to genetics and breeding. Spatial organization of the maize ear provides insights into the response of grain yield to environmental conditions. Current automated methods for phenotyping the maize ear do not capture these spatial features.<strong>Results: </strong>We developed EARBOX, a low-cost, open-source system for automated phenotyping of maize ears. EARBOX integrates open-source technologies for both software and hardware that

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De, Souza Sánchez Pablo Miguel, Román Esther Ferrer, and Henríquez Helena Iballa Naranjo. "Coordination and methodological innovation of the drawing activities of the degree in Architecture | INNOVACIÓN METODOLÓGICA DE LAS ACTIVIDADES DE DIBUJO DE LA TITULACIÓN DE ARQUITECTURA: Revisión del submódulo de dibujo del Grado en Fundamentos de la Arquitectura como adaptación al Espacio Europeo de Educación Superior." HUMAN REVIEW. International Humanities Review / Revista Internacional De Humanidades 12, No. Monográfico (2023): Proposals for quality higher education / Propuestas para una educación superior de calidad (2023): 1–27. https://doi.org/10.5281/zenodo.11477121.

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Abstract Through theoretical research and fieldwork about the adaptation of the architecture degree to the EHEA, and to be able to effectively and gradually deploy skills from the drawing submodule, the results of the coordination between subjects and a critical and comparative selection of learning activities are presented. This work also investigates the asymmetric distribution of the drawing subjects of the adaptation to the bologna plan, concluding with a proposal for independent and improved deployment of the submodule unlinked to the subjects that are not related to it. Resumen Mediante

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17

Martín-Garín, Alexander, Jose Antonio Millán-García, Peter Albrecht, Iñigo Rodríguez-Vidal, and Ángel Rodríguez-Sáiz. "Despliegue de un sistema open‐source de monitorización IoT para el seguimiento ambiental del centro gerontológico de Egogain = Deployment of an open-source IoT monitoring system for environmental monitoring of the Egogain gerontological centre." Anales de Edificación 8, no. 2 (2023): 25–30. http://dx.doi.org/10.20868/ade.2022.5039.

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Los espacios buscan atender unas condiciones de confort cada vez más exigentes y sin olvidar los criterios de eficiencia energética. En este sentido, los centros de cuidados de ancianos cobran vital relevancia y son un claro ejemplo donde las condiciones interiores y las mejoras a adoptar se centran en perseguir el bienestar del usuario. Además, este tipo de edificios, habitualmente comparten espacios de múltiples usos que dificulta establecer un criterio común de actuación. La presente comunicación analiza los trabajos llevados a cabo de monitorización en el marco de una auditoría energética

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18

Amran, Amran. "Desarrollo de medios de aprendizaje para un gran juego de pelota basado en el aprendizaje en línea para estudiantes de secundaria vocacional de clase XI: viabilidad y eficacia (Developing Learning Media for an Online Learning-Based Big Ball Game at Class XI Vocational High School Students: Feasibility and Efficacy)." Retos 50 (September 5, 2023): 724–36. http://dx.doi.org/10.47197/retos.v50.99235.

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Esta investigación tiene como objetivo producir un medio de aprendizaje, determinar su viabilidad y evaluar la eficacia de los medios de aprendizaje de juegos de pelota grandes basados en el aprendizaje en línea para mejorar el conocimiento de los estudiantes. Este estudio adopta un enfoque de investigación y desarrollo (I+D) con un modelo 4-D. Los pasos de la investigación consisten en: (1) Definición, (2) Diseño, (3) Desarrollo y (4) Difusión. La validación del producto la llevan a cabo dos expertos en la materia, dos expertos en medios y dos expertos en aprendizaje. Los sujetos de prueba

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Arce Chaves, Laura. "Relaciones públicas como catalizadoras de innovación en la cadena de valor empresarial. Programa de prácticas empresariales Universidad Latina de Costa Rica/ Business innovation as a value chain in companies incorporated into Public Relations practice." Revista Internacional de Relaciones Públicas 8, no. 16 (2018): 85–108. http://dx.doi.org/10.5783/revrrpp.v8i16.556.

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Resumen Se presentan resultados de una investigación exploratoria, descriptiva sobre el estado de innovación y su incorporación a la cadena de valor empresarial partiendo de la ejecución de la práctica empresarial en RRPP de la Universidad Latina de Costa Rica. Las organizaciones participantes pertenecen a sectores económicos relevantes del país, al momento del estudio contaron con presencia de estudiantes de último grado de la carrera.El instrumento utilizado fue validado por el Ministerio de Ciencia, Tecnología y Telecomunicaciones de Costa Rica. El objetivo fue examinar estrategia, estructu

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Vernikouskaya, Ina, Volker Rasche, Jan Kassubek, and Hans-Peter Müller. "Hypothalamus and intracranial volume segmentation at the group level by use of a Gradio-CNN framework." International Journal of Computer Assisted Radiology and Surgery, June 6, 2025. https://doi.org/10.1007/s11548-025-03438-6.

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Abstract Purpose This study aimed to develop and evaluate a graphical user interface (GUI) for the automated segmentation of the hypothalamus and intracranial volume (ICV) in brain MRI scans. The interface was designed to facilitate efficient and accurate segmentation for research applications, with a focus on accessibility and ease of use for end-users. Methods We developed a web-based GUI using the Gradio library integrating deep learning-based segmentation models trained on annotated brain MRI scans. The model utilizes a U-Net architecture to delineate the hypothalamus and ICV. The GUI allo

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