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1712 articles for “process model”
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Evaluating the Efficiency of LLMs-SA (Sentiment Analysis) via Social Media Texts
Abstract: Sentiment analysis (SA) is becoming popular in business and scientific communities as the processing of natural language (NLP), computational linguistics, text analytics, image-based processing or video- based processing is used in extracting and mining subjective information in the web, social network, etc. It is able to detect positive, negative or neutral information and can be selected to absorb polarity, sentiments, urgency and goals of mount importance. The majority of the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Enhancing MRO Documentation Through Automated Translation of Non-Standard English to Simplified Technical English Using Offline LLMS
Abstract: Maintenance, Repair, and Overhaul (MRO) operations rely heavily on accurate and consistent documentation to ensure operational safety and compliance. However, the presence of non-standard English in technical documents often leads to ambiguity, misinterpretation, and inefficiencies in maintenance processes. This study presents an innovative solution that leverages an offline Large Language Model (LLM) to automatically translate non-standard English in MRO documents into standardized and technically precise language. By integrating predefined linguistic …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 9–15 Read article
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Model based Tuning of PID Controller
Abstract: In this paper PID controller with Internal Model Control tuning method (IMC-PID) is presented for robust operation. The implementation of IMC is simplified in large class of industrial applications as the process dynamics can be adequately characterized by a First Order plus Delay Time (FOPDT) model. Tuning of the controller is easily done by adjusting the filter time constant which provides improved performance and robustness of the closed loop system. …
Published in Journal of Control & Instrumentation · Vol. 4, Issue 1, 2013 · pp. 16–22 Read article
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Data to Diagnosis: A Systematic Review of AI/ML in Healthcare
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are fast revolutionizing the diagnosis of healthcare by augmenting accuracy, speed, and efficiency. AI/ML technologies facilitate earlier and more accurate disease identification with advanced algorithms for image processing, predictive modelling, and pattern recognition, frequently outperforming conventional diagnostic techniques. This review delves into the key contribution of AI/ML in contemporary healthcare, such as its use in clinical data analysis, imaging reports, and patient histories …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Text to Image Using Machine Learning
Abstract: In the era of digital transformation, our project addresses the convergence of computer vision and natural language processing to enhance user interaction and visual content creation. This project comprises three distinct modules: user authentication and session management, image colorization from grayscale inputs, and text-to-image generation. The login registration module provides secure access to the system, ensuring user privacy and data integrity. Once authenticated, users can utilize advanced computer vision techniques …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 35–41 Read article
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Theoretical modelling of heat transfer in non-homogeneous porous media
Abstract: The paper is focused on the study and analysis of heat transfer in geothermal substrates made up of non-homogeneous porous media. The paper analyses the influence of porosity on the heat transfer as a result of the combination of conduction and convection mechanisms that take place in non-homogeneous porous materials. As a result of the combined effect heat transfer is not homogeneously distributed throughout the cross section of the geothermal …
Published in Journal of Geotechnical Engineering · Vol. 9, Issue 2, 2022 · pp. 44–51 Read article
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Advanced Perspectives on Fluid Dynamics in Environmental Systems: Interactions, Impacts, and Innovations
Abstract: Environmental fluid mechanics is a multidisciplinary field that investigates the movement and behavior of natural fluids—such as air and water—in the environment, with a particular focus on understanding and mitigating the effects of human activities and natural processes. This study presents an analysis of fluid flow phenomena relevant to environmental systems, examining the transport of momentum, heat, and contaminants in both natural and engineered environments. Emphasis is placed on the …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 1–16 Read article
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Real Time Implementation of Cascade Process using NI ELVIS in LabVIEW
Abstract: The main objective of this work is to enforce PID controller in a real time process, and to find out the best robust control settings for cascade process. In this work, process variable level is controlled in a cascade mode. Level and flow are considered as primary and secondary variable, respectively. Process models of flow and level are identified as First order plus dead time models. Validated model is used …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 1, 2015 · pp. 37–43 Read article
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Review of Various Modern Temporal Data Models
Abstract: Temporal records are known to change with the passage of time and services to manage the multiple snapshots of these records are generally absent in conventional databases. The management of the Time-varying data is effectively performed by the temporal data models in comparison to implementing them in user applications. The support for the temporal functionality is provided by the modern commercial databases that enable the users to manipulate the temporal …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 1, 2018 · pp. 1–7 Read article
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Design and Fabrication of Automated Rice Huller
Abstract: This paper describes the detailed procedure for design and fabrication of rice huller machine. A rice huller or rice husker is an agricultural machine used to automate the process of removing the chaff (the outer husks) of grains of rice. Throughout history, there have been numerous techniques to hull rice. Traditionally, it would be pounded using some form of mortar and pestle. An early simple machine to do this is …
Published in Trends in Mechanical Engineering & Technology · Vol. 5, Issue 2, 2015 · pp. 34–38 Read article
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Exam Eval: An Automated Model for Correcting Exam Papers Using OCR and Text Summarization
Abstract: In the realm of education, grading and correcting exam papers can be a time-consuming and often daunting task for teachers. To streamline this process and provide more efficient feedback to students, this project aims to develop a model that leverages advanced techniques in natural language processing (NLP) and computer vision. The primary objective is to correct exam papers by summarizing the handwritten answers provided by students, incorporating Optical Character Recognition …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 3, 2023 · pp. 23–28 Read article
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AI Chatbot for Expressing Visual Content
Abstract: Recently, the artificial intelligence (AI) chatbot for expressing visual content has shown remarkable multi-modal capabilities. It can recognize funny features in photos and create webpages straight from handwritten text. These characteristics are uncommon in earlier vision language models. We think the use of a more sophisticated large language model (LLM) is the main factor behind vision verbalizer's superior multi-modal generating capabilities. We introduce vision verbalizer, which employs a single projection …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 11–19 Read article
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Dynamic Behavior of Asphalt Stabilized and Grid Reinforced Subgrade Soil
Abstract: The impact of repeated loading (punching shear) on Asphalt stabilized and grid reinforced subgrade soil have been investigated in this study. Specimens of 152mm diameter and 116 mm in height have been prepared, cured, and then tested using the pneumatic repeated load system PRLS. The deformation-load repetitions data were recorded for each case. Data were fed to the finite element software for the modeling process. An assessment was conducted to …
Published in Trends in Transport Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 1–9 Read article
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DESIGN AND MANUFACTURING OF MARINE PROPELLER
Abstract: The present work is aimed at the fabrication of propeller blade using Aluminium-24345 material. It is high corrosive resistant, light in weight and easy to maintain. A propeller has a complex geometry and requires high end modelling in its software. The solid model of propeller blade is developed in CATIA V5 R20. By using this model, propeller was manufactured using CNC machine. CNC machining is one of the rapid manufacturing …
Published in Trends in Machine design · Vol. 4, Issue 3, 2017 · pp. 26–37 Read article
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Investigation of Robotic Transverse Twin-Wire GMAW for Large-Scale Wire-Arc Additive Manufacturing Applications
Abstract: Bulk metal additive manufacturing using wire-arc processes has gained significant attention for fabricating large-scale engineering components due to their high deposition rate and material efficiency. In this study, the feasibility and performance of robotic transverse twin-wire gas metal arc welding (GMAW) for bulk wire-arc additive manufacturing (WAAM) is systematically assessed. The research focuses on understanding arc stability, weld bead characteristics, and process–product relationships under high-deposition conditions. Welding current signals from …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 1, 2026 · pp. 36–50 Read article
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Methods for Identifying Regions of Brain Establishment Using Functional Magnetic Resonance Imaging
Abstract: AbstractPurposeful neuro imaging could be a comparatively young discipline inside the neurosciences that has led to important advances in our understanding of the human brain and progress in neuro research project associated with public health. Accurately distinctive activated regions within the brain showing a powerful association with associate in nursing outcome of interest is crucial in terms of sickness prediction and interference. Purposeful resonance imaging (fMRI) is the most generally …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 1, 2017 · pp. 12–15 Read article
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Nyaya-AI ChatBot: AI-Powered Legal Assistance for India
Abstract: In today's fast-paced world, the rise in lifestyle related issues has led to a significant increase in case filings across various sectors, including health, finance, and legal matters. Modern lifestyles, characterized by poor dietary habits, sedentary behavior, and high stress levels, contribute to a myriad of health problems and legal disputes. A chatbot designed to provide legal advice in India could be a valuable resource for individuals unfamiliar with the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 Read article
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Reliability Modeling, Performance and Cost-Benefit Analysis of Optical Fiber Network in DCRUST
Abstract: AbstractThis paper includes the survey of optical fiber network in DCRUST and its reliability modeling aspects to evaluate reliability of that optical fiber network. Model in this paper has an operative unit which is optical fiber cable and a hotstandby unit which is an optical fiber ring provided as a redundant fiber in DCRUST. This protection path is necessary in optical fiber to reduce the wastage of time and to …
Published in Trends in Opto-electro & Optical Communication · Vol. 8, Issue 1, 2018 · pp. 8–15 Read article
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Forest Fire Hazards Vulnerability and Risk Assessment in Bhajji Forest Range of Himachal Pradesh (India): A Geospatial Approach
Abstract: The vulnerability of the Indian forests to fire varies from place to place depending upon the type of vegetation and climate. The coniferous forest in the region is very prone to fire. Objective of the current work is to prepare a model which articulate the forest fire risk and assess the fire vulnerability so that the concerned authorities can minimize the fire danger. Fire hazard mapping was performed using knowledge …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 1, 2017 · pp. 25–40 Read article
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ChatGPT Based Voice Assistant for Blind People
Abstract: The proposed system for converting speech input into text format to facilitate interaction with ChatGPT is a sophisticated integration of hardware and cloud-based services. Utilizing state-of-the-art technologies, it facilitates seamless communication between users and the AI model. At the outset, the microphone serves as the input device, capturing audio signals from the user's speech. These signals are then amplified to ensure clarity and fidelity before being transmitted to the ESP32 …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 23–31 Read article