Relevant bibliographies by topics / Gradio Deployment

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Gradio Deployment'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Gradio Deployment"

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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&rsquo; 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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Dissertations / Theses on the topic "Gradio Deployment"

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Giroux, Andrew. "Real-Time Strategies for the Deployment of Wireless Repeaters in Uncharacterized Environments." ScholarWorks @ UVM, 2016. http://scholarworks.uvm.edu/graddis/621.

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Modern society relies heavily on communication networks that in turn rely on both wired and wireless infrastructure. This work pertains to scenarios where a group of people or robots need to communicate in an environment where there is no preexisting communications infrastructure. These include sites of emergencies and disasters (e.g., inside burning buildings, search and rescue operations) and unexplored areas on Earth and other planets. Wireless ad hoc or mesh networks offer the ability to keep such entities connected, but they falter when any single entity wishes to leave the developed cove
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Juarez, James Jay. "Development of a Media Driven Online Assessment System: Improving Quality, Frequency, and Deployment of Grades and Feedback in Higher Education." NSUWorks, 2013. http://nsuworks.nova.edu/gscis_etd/189.

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Information communication technologies (ICT) in education is an expanding field, and within this field there is a need for development of effective systems for faculty and learners to communicate feedback and assess performance. The increasing migration of many academic disciplines and courses to an online format has prompted an increased need for the development of evidence-based tools and techniques that can be made available to educational institutions in order to connect and communicate with the learner. Many faculty and students have been faced with a less than optimal transition to the o
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Frantz, Miles Eugene. "Enhancing CryptoGuard's Deployability for Continuous Software Security Scanning." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/98521.

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The increasing development speed via Agile may introduce overlooked security steps in the process, with an example being the Iowa Caucus application. Verifying the protection of confidential information such as social security numbers requires security at all levels, providing protection through any connected applications. CryptoGuard is a static code analyzer for Java. This program verifies that developers do not leave vulnerabilities in their application. The program aids the developer by identifying cryptographic misuses such as hard-coded keys, weak program hashes, and using insecure proto
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Ďurčanský, Norbert. "Generátor zefektivňující tvorbu a udržovatelnost single-page aplikací." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403153.

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This diploma thesis deals with developing generator for single-page applications. Before developing the application it was necessary to identify problem areas that prevent the development and describe tools that make it easy to create, test, maintain, and deploy single-page applications. Based on the obtained information, the generator Create Sbspa is designed and implemented to efficiently create single-page applications and help to eliminate development problems. It generates configuration and code from semantic templates. The generator is available through a user interface that splits the t
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Book chapters on the topic "Gradio Deployment"

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Kärkkäinen, Katri, Sonja T. Kujala, Rosario Garcia-Gil, et al. "Genetic Effects." In Managing Forest Ecosystems. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-70484-0_7.

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Abstract Genetic effects of continuous cover forestry (CCF) are not well known. We need more research, especially on the genetics of spruce-dominated CCF sites. Levels of relatedness are of interest, as are estimates of safe limits for the intensity and duration of CCF practices that secure genetic potential for good growth and quality. With even-aged forestry, genetically improved regeneration material can be used to mitigate climate change-related risks through breeding and deployment recommendations. In CCF, currently based on natural regeneration, we assume that enough seedlings establish,
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Giacobbe, Mirco, Thomas A. Henzinger, and Mathias Lechner. "How Many Bits Does it Take to Quantize Your Neural Network?" In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45237-7_5.

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Abstract Quantization converts neural networks into low-bit fixed-point computations which can be carried out by efficient integer-only hardware, and is standard practice for the deployment of neural networks on real-time embedded devices. However, like their real-numbered counterpart, quantized networks are not immune to malicious misclassification caused by adversarial attacks. We investigate how quantization affects a network’s robustness to adversarial attacks, which is a formal verification question. We show that neither robustness nor non-robustness are monotonic with changing the number
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O. Daniel, Isaac, and Mulualem T. Kassa. "Advances in Food Development with Plant-Based Proteins from Seed Sources." In Grain and Seed Proteins Functionality. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96273.

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Increased awareness on the effects of food on human health and the environment has compelled the need to look for alternative food sources. This resulted in the steady increase in demand for plant-based protein foods as opposed to animal food sources on the premises of significant health benefits, environment-friendly sustainable production systems and moral ethics. This trend has also been reflected in recently reviewed national food guides. Research on plant-based food systems primarily aims to understand the nutritional and functional roles of dietary proteins sourced from crop seeds. Recen
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Ahmed, Yasir, Tanvir Ahmed, Andleeb Raza, and Iqra Jan. "Harnessing AI for Personalized Learning, Equity, and Administrative Efficiency in Transnational Higher Education." In Advances in Educational Marketing, Administration, and Leadership. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-7016-2.ch009.

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This chapter explores the transformative potential of Artificial Intelligence (AI) in Transnational Higher Education (TNE), focusing on personalized learning, equity, and administrative efficiency. TNE, characterized by the cross-border mobility of students and academic programs, faces challenges and opportunities in quality assurance, student mobility, and cultural exchange. The integration of AI offers innovative solutions to these challenges. AI-driven personalized learning systems dynamically adjust educational content to individual needs, enhancing engagement and outcomes. AI promotes equ
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Garapati, Durga Prasad, and Padmaja S.M. "Technology in Engineering Pedagogy to Progress the Excellence of Teaching." In Methodologies and Outcomes of Engineering and Technological Pedagogy. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2245-5.ch001.

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Quality evaluation is a basic part of education that enables teachers to help learning and to improve instructive programs. Engineering education has been confronting impressive difficulties concerning commendable educating, information organization, and knowledge deployment. Consequently, desires for new teaching methods and learning approaches should be created in the arena. The objective of this chapter is to incorporate various teaching learning methods, educational tools to improve the learning experience of students, and also to fulfil the teaching experience of faculty. The purpose of t
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Wood Dennis Patrick, Webb-Murphy Jennifer, McLay Robert N., et al. "Reality Graded Exposure Therapy with Physiological Monitoring for the Treatment of Combat Related Post Traumatic Stress Disorder: A Pilot Study." In Studies in Health Technology and Informatics. IOS Press, 2011. https://doi.org/10.3233/978-1-60750-706-2-696.

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A high percentage of Operation Iraqi Freedom (OIF) and Operation Enduring Freedom (OEF) combat veterans have been diagnosed with Posttraumatic Stress Disorder (PTSD) during and following their respective combat tours. Virtual Reality (VR) treatment has been documented as an exceptional treatment for anxiety disorders and specifically for PTSD. An Office of Naval Research (ONR) funded pilot study, completed by the Virtual Reality Medical Center and Naval Medical Center San Diego (NMCSD), investigated the use of Virtual Reality Graded Exposure Therapy (VR-GET) study with participants who had bee
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Wood Dennis Patrick, Mclay Robert L., Webb-Murphy Jennifer, et al. "Virtual Reality Graded Exposure Therapy with Arousal Control for the Treatment of Combat Related Posttraumatic Stress Disorder: A Follow Up Case Series." In Studies in Health Technology and Informatics. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-401-5-141.

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Important challenges confronting DOD/military medical care are that of maintaining or increasing quality of care and increasing the effectiveness of treatments for warriors diagnosed with Posttraumatic Stress Disorder (PTSD) secondary to their combat deployments to Iraq and/or Afghanistan. Virtual Reality Graded Exposure Therapy with Arousal Control (VR-GET) has demonstrated a positive treatment effectiveness resulting in significant reductions of PTSD symptom severity. This positive treatment effectiveness has been maintained for up to 22 weeks after VR-GET therapy was completed. A robust met
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Chochliouros, Ioannis, Anastasia S. Spiliopoulou, and Stergios P. Chochliouros. "Digital Video Broadcasting (DVB) Evolution." In Encyclopedia of Multimedia Technology and Networking, Second Edition. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-014-1.ch053.

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Achieving widespread access by all European citizens to new services and advanced applications of the information society is one of the crucial goals of the European Union’s (EU) strategic framework for the future. Towards realizing this primary target, multiple access platforms are expected to become available, using different access methods for delivery of services (and of related digital content) to a wide variety of end-user terminals, thus creating an “always-on” and properly “converged” technological and business environment, all able to support and to promote innovation and growth (Comm
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Conference papers on the topic "Gradio Deployment"

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Yefou, Uriel Nguefack, Solafa Fadlallah, Kobby Panford-Quainoo, Phanie Dianelle Negho, and Dieu-Donné Fangnon. "Glioma Grading using Machine Learning techniques: Model optimization and web deployment." In 2024 IEEE International Conference on Information Reuse and Integration for Data Science (IRI). IEEE, 2024. http://dx.doi.org/10.1109/iri62200.2024.00064.

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Helal, Yousef, Naomi Sagan, Drake Lin, Anmol Parande, Dominic Carrano, and Babak Ayazifar. "Toward Scalable Laboratories in Signals and Systems: Content, Deployment, and Grading." In 2024 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2024. http://dx.doi.org/10.1109/iscas58744.2024.10558272.

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Fleming, Lewis, Des Gibson, Shigeng Song, et al. "High throughput microwave plasma assisted sputter deposition of linear variable filters and deployment into visible and near infrared spectrometers." In Optical Interference Coatings. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/oic.2022.thc.4.

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Fabrication of linear variable filter designs are demonstrated using a high throughput drum with linear sputter targets and static graded uniformity masks. Optical performances are characterised and functionality tested in 3D printed miniature spectrometers.
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Rojas, Pablo, and Jonathan Quintero. "Slimhole One Piece Matrix Design Bit Technology Showed Significant Integrity and Performance Improvements in Coil Tubing Operations in Middle East." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211533-ms.

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Abstract Objectives/ Scope This paper describes a new innovative concept, using a one-piece matrix slimhole design for a 3.625’’ PDC bit. This significantly increases durability and reliability, enhancing the bit life in multiple test analysis in highly abrasive lower Permian sandstone, driven by turbine and coiled tubing. The collaboration between the national oil company (NOC) and the drill bits provider results in achieving consistent records in footage and rate of penetration, without compromising bit integrity previously seem in sleeve designs. Methods, Procedures, Process A matrix sleeve
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Schneider, Erich A., and Neil Shah. "Near Term Deployment, Long Term Impact: Uranium Price Over the Lifetime of New Capacity." In 16th International Conference on Nuclear Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/icone16-48573.

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While reasonable short-term resource price projections can be obtained by taking a bottom-up approach — constructing a supply curve based upon current production capacities and costs — this approach breaks down as the time horizon of the analysis lengthens. One approach to long-term price forecasting is to calibrate a simple model of a commodity market against past data. To that end, an analogy was drawn between the behavior of the uranium market and that of some three dozen materials for which the United States Geologic Survey (USGS) maintains data. This work adds to previously published resu
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Prakash, Mridula. "Build Automation Tools for Software Development." In 11th International Conference on Embedded Systems and Applications (EMSA 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120608.

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The automated processes will play an increasingly vital role in continuous integration as the pace of design and development of new software picks up. With the importance of software build automation tools taking center stage, the present paper undertakes a comparative analysis of three best available solutions - Maven, Gradle and Bazel. We aim to evaluate the solutions based on their efficiency and performance in the context of software build automation and deployment. There are some fundamental differences in the way each tools approach builds. The aim of this study is also to provide the re
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Gideon, Olugbenga, and Ronald Boring. "A Graded Approach to Simulators: Feature Requirements Mapping to Simulator Types for Nuclear Plant Control Room Research Use Cases." In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004454.

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Simulators function as test platforms for validating a broad spectrum of nuclear power plant operations. This spectrum encompasses tasks ranging from updating existing control rooms to fundamentally designing new ones, incorporating innovative operational concepts. The Simulator Feature Framework introduces a generic list of features to ensure that future simulators facilitate research endeavors that cater to both immediate plant modernization needs and the future deployment of advanced reactors (Gideon and Ulrich, 2023). Conducting research via control room simulators requires different simul
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Ducasse, Marie-Laure, Damiano Soulat, and Florent Vertallier. "Investigation of Hydrodynamic Behaviour of Wind Turbine GBS During Offshore Installation and Engineering Design Outcomes." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77619.

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Gravity Based Structure (GBS) is one of the main structural foundation concept planned to be used to accommodate offshore wind turbines in shallow water depth areas. Large scale deployment of such massive foundations raises technical issues regarding transport and installation of the GBS. This paper aims at presenting major outcomes of hydrodynamic analyses carried out to assess dynamic behaviour of the GBS during offshore installation. This study focuses on the last critical step of the installation process when the foundation is almost completely ballasted and close to the seabed grading lay
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Dhadwal, Harbans S., Romel Khan, and Kwang Suh. "An Integrated Fiber Optic Probe for Photon Correlation Spectroscopy." In Photon Correlation and Scattering. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/pcs.1992.pd2.

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In the past five years the optical apparatus, heart of a photon correlation spectroscopy (PCS) experiment, has undergone major advances through the deployment of optical fibers. The once cumbersome apparatus comprising of bulk optics, photomultipliers, and goniometers has been revolutionized through the miniaturization achievable by advances in semiconductor lasers, fiber optics and semiconductor photon detectors. Tanaka and Benedek1 were the first to report the use of optical fibers in PCS systems. The first fiber optic back scatter system, developed by Dyott2, was applied to the characteriza
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Zhao, L., T. Dunne, J. X. Ren, W. H. Li, and P. Cheng. "Driving Cost Reduction in CCUS Projects: Innovating Qualification Technologies to Replace Expensive CRA with Cost-Efficient Glass Fiber Polymer Composites." In Offshore Technology Conference. OTC, 2025. https://doi.org/10.4043/35526-ms.

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Abstract The imperative role of Carbon Capture, Utilization, and Storage (CCUS) in achieving the global carbon emissions reduction target of 15-20% by 2050 is widely recognized. However, the sluggish progress in CCUS deployment stems primarily from substantial initial capital outlays, notably attributed to the use of costly Corrosion-Resistant Alloys (CRA). These alloys are essential due to the corrosion challenges posed by supercritical CO2 from the capture facility to the injection wells. Glass Fiber Reinforced Polymer Composite (GFPC), with its high corrosion resistance and excellent mechan
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Reports on the topic "Gradio Deployment"

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Cianfarani, J. Carrier-Grade NAT (CGN) Deployment with BGP/MPLS IP VPNs. Edited by V. Kuarsingh. RFC Editor, 2014. http://dx.doi.org/10.17487/rfc7289.

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Donley, C., C. Grundemann, V. Sarawat, K. Sundaresan, and O. Vautrin. Deterministic Address Mapping to Reduce Logging in Carrier-Grade NAT Deployments. RFC Editor, 2014. http://dx.doi.org/10.17487/rfc7422.

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Mitra, Sayan. Continuous Integration and Deployment Infrastructure for Rapid Testing of Autonomous Transportation Systems. Illinois Center for Transportation, 2024. http://dx.doi.org/10.36501/0197-9191/24-017.

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This project has led to the creation of an automated-testing infrastructure for autonomy code. The framework uses Jenkins, AWS Lambda, Docker, Kubernetes, and other open-source technologies. It was utilized and evaluated both for the Generalized Racing Intelligence Competition (GRAIC) and for evaluating student programming assignments for the principles of safe autonomy course (ECE484). This infrastructure has improved our capability to evaluate (autograde) student design assignments, and students can also receive precise feedback on their work as they progress through various design challenge
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Coyner, Kelley, and Jason Bittner. Automated Vehicles and Infrastructure Enablers. SAE International, 2022. http://dx.doi.org/10.4271/epr2022008.

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Manufacturers and developers of automated vehicles (AVs) often maintain that no new infrastructure enablers are needed to achieve full AV deployment aside from existing infrastructure investments (e.g., connected traffic signals, designated stops, booking software, mobile applications, separated lanes). These groups hold that a state-of-good-repair and clean lane markings are sufficient; however, much of the US receives poor grades when it comes to these features. What do infrastructure owners and operators need to know about what constitutes effective lane markings or what to prioritize in te
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Steffenson, B. J., I. Mayrose, Gary J. Muehlbauer, and A. Sharon. ing and comparative sequence analysis of powdery mildew and leaf rust resistance gene complements in wild barley. United States-Israel Binational Agricultural Research and Development Fund, 2021. http://dx.doi.org/10.32747/2021.8134173.bard.

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Our overall, long-term goal is to exploit the genetic diversity present in cereal wild relatives for the development of cultivars with durable disease resistance. Our specific objectives for this proposal were to: 1) Utilize Association Genetics Resistance Gene Enrichment Sequencing (AgRenSeq) to identify and clone powdery mildew and leaf rust resistance gene complements in wild barley and 2) Conduct comparative sequence analyses of the cloned resistance genes to elucidate the basis of their specificity and evolution. The deployment of resistant cultivars is the most effective, economically ef
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