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324 articles for “stream processing”
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Smart Management of EV Charging Station Using AI Chatbot & TOM API
Abstract: This paper endeavors to address the pressing challenges associated with EV charging by proposing a comprehensive smart management system for EV charging stations. The system aims to streamline the EV charging process, making it more accessible, convenient, and sustainable for users. By harnessing the power of renewable energy sources, particularly photovoltaic systems, the paper seeks to mitigate the environmental impact of EV charging while simultaneously optimizing resource utilization. Through innovative …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 2, 2024 · pp. 16–23 Read article
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Terraform: Accelerating Infrastructure Deployment Through Infrastructsure as Code
Abstract: This paper provides an in-depth analysis of Terraform; an open-source Infrastructure as Code (IaC) tool developed by HashiCorp. It explores how Terraform transforms the way infrastructure is built, managed, and maintained across different cloud platforms and on-premises systems. Through a detailed analysis of its features, workflow, and real-world applications, we demonstrate how Terraform significantly enhances operational efficiency, reduces deployment times, and ensures consistency in infrastructure management. The paper includes code …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 7–15 Read article
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Hydrodynamic and Sedimentation Modelling for Capacity Optimization of OR1, OR2, and Fertilizer Berths at Visakhapatnam Port, India
Abstract: This study presents comprehensive hydrodynamic and sediment transport modeling undertaken to assess the impact of proposed deepening and development at the Western Arm of the Visakhapatnam Inner Harbor, India, encompassing OR1, OR2, and Fertilizer berths. The work, carried out by the Central Water and Power Research Station (CWPRS) for the Visakhapatnam Port, utilized the MIKE 21 Flexible Mesh (FM) finite-volume model to simulate hydrodynamic and siltation conditions under existing and …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 33–51 Read article
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A Review Drug and Biochemical Pharmacology Discovery
Abstract: The development of new therapeutic approaches and our understanding of disease mechanisms have both benefited ground-breaking medications as they are advanced and show the value of contemporary technologies, methodologies, and genetics in drug discovery. The synthesis, design, and application of these molecules have become a focal point in drug discovery efforts. The present research paper provided a comprehensive study of the recent developments in the field of biochemical pharmacology and …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 3, 2024 · pp. 27–31 Read article
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A Novel Binary Arithmetic Computational Method
Abstract: The proposed algorithm for arithmetic operations presents an innovative and intriguing approach, primarily centered around the use of counters and the manipulation of '1's in binary representations. This algorithm promises to introduce significant advancements in computational efficiency and accuracy, making it a potential game-changer in the field of arithmetic calculations. At the core of this method lies the reliance on the number of '1's in each location within a binary …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 1, 2023 · pp. 21–25 Read article
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Energy Harvesting Through Liquid Flow in Pipe Lines
Abstract: The paper shows the easiest method to harvest the electrical energy from water flow through pipelines used in household purposes, municipality pipelines and process industries etc. Flow streaming in the pipelines contains the potential energy which will be converted into electrical energy by using simple energy harvesting procedures. This harvesting method can produce small amount of electrical energy which can be stored or used for low power output requirement electronic …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 2, 2014 · pp. 77–81 Read article
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IntelliScan: An AI-Powered Mobile System for Smart Retail Analytics and Inventory Management System
Abstract: This project introduces a software-based Smart Digital Trolley System designed to enhance the shopping and billing experience in supermarkets by minimizing waiting time at checkout counters. In many retail stores, conventional billing methods often result in long queues, customer inconvenience, and delays during peak shopping hours. To address these challenges, the proposed system offers a digital and user-friendly solution that streamlines the entire purchasing process without relying on additional hardware …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 3, 2026 Read article
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Efficient Clustering Techniques for Data Stream Mining
Abstract: Data mining mainly works on a massive database for storing heavy amount of data. It is generally essential for extracting the meaning insights from the massive, continuously growing database. The traditional method often struggles with sheer volume and the dynamic nature of the modern data. Data stream mining allows for the real-time analysis, means insights are generated as the data arrives, and not after the long batch process. This continuous …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 26–32 Read article
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INFLUENCE OF PULSED TIG WELDING PROCESS PARAMETERS ON MECHANICAL PROPERTIES OF ALUMINIUM ALLOY JOINT: A REVIEW
Abstract: The increase use of aluminium alloy in the previous decades in automobile industry have recommended the research towards learning its behaviour in dissimilar condition with application. Pulsed tungsten inert gas (TIG) welding in aluminium alloy is one of the generally utilized method towards manufacturing the car parts. The present work relates to the enhancement of mechanical properties of Aluminium amalgam welds through beat tungsten latent gas (TIG) welding process. Input …
Published in Journal of Industrial Safety Engineering · Vol. 5, Issue 3, 2018 · pp. 13–18 Read article
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Model Prediction to Monitor the Transport of Nocardia Influenced by Bulk Density and Dissolved Oxygen in Eleme Stream
Abstract: This paper monitors the behavior of Nocardia deposition in Eleme Streams, the study was carried out to determine the rate of this predominant microbe in the stream, the migration of the contaminant experienced highest rates of concentration at the point of discharge, which is the initial concentration of the contaminants. Decreases with respect to increase in distances at ninety metres in the entire figures were observed. Bulk density and dissolved …
Published in Journal of Water Pollution & Purification Research · Vol. 7, Issue 1, 2020 · pp. 1–14 Read article
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Future Prospects of AI in Pharmaceutical Industry and its Limitation
Abstract: The pharmaceutical industry is facing significant challenges, including prolonged drug development timelines, high costs, and low success rates in clinical trials. Traditional methods often result in inefficiencies, with new drug development taking over a decade and billions of dollars, yet most candidates fail in clinical trials due to issues like inefficacy or safety concerns. Artificial Intelligence (AI) has become a groundbreaking technology with the potential to tackle these issues effectively. …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 2, 2025 · pp. 6–13 Read article
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A Review on AI Driven IoT Based Decision Making in Rainfall Perdition in Climate Change Study
Abstract: We are moving from a reactive relationship with the weather to a symbiotic one. This AI-IoT framework is more than just a technological upgrade; it is a vital adaptation strategy in an age of climate volatility. As climate change induces unprecedented volatility in global weather patterns, traditional meteorological forecasting models often struggle to maintain hyper-local accuracy. This paper explores the convergence of the Internet of Things (IoT) and Artificial Intelligence …
Published in International Journal of Climate Conditions · Vol. 3, Issue 2, 2026 · pp. 1–6 Read article
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Study on Brain Tumor Detection Using Morphological Operations in MATLAB with Graphical User Interface (GUI)
Abstract: Brain tumor detection plays a crucial role in early diagnosis and effective treatment planning. This research presents a MATLAB-based Graphical User Interface (GUI) for Brain Tumor Detection, incorporating a comprehensive pipeline of image processing techniques. The GUI provides a user-friendly platform, empowering medical professionals to accurately and efficiently analyze MRI brain scans. The GUI begins with text removal to eliminate any textual artifacts that may be present in the MRI …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 24–31 Read article
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Predicting oxygen deficit effect on two dimensional Flow transport of pasteurella in eleme stream
Abstract: Pasteurella deposition in Eleme stream was investigated from point sources of waste discharge in different locations, predictive model application were used to monitor the transport process of the contaminant in the stream, the study observed the growth rates from the graphical trend in gradual increase to the optimum level, while that of experimental values experienced similar condition but with rapid increase on few figures, the system observed predominant parameter such …
Published in Recent Trends in Fluid Mechanics · Vol. 8, Issue 1, 2021 · pp. 1–14 Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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Deep Learning Approach to Produce Artificial Speech (Text-To-Audio)
Abstract: This program utilizes key features of the .NET framework to facilitate smooth text-to-speech conversion and audio playback. Upon execution, users are prompted to input text via a graphical user interface (GUI), which the program converts into speech using the ‘SpeechSynthesizer’ class from the ‘System. Speech.Synthesis’ namespace. The audio that has been synthesized is handled and stored as a WAV file called ‘output.wav’ by utilizing the ‘FileStream’ class, allowing for future …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 28–33 Read article
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Automated Math Solver Assist with LLM RAG
Abstract: The challenges of solving complex mathematical problems often hinder efficiency in various scientific and engineering domains. This project proposes an innovative solution to these challenges by integrating automated math solvers with large language model (LLM) retrieval-augmented generation (RAG). The proposed system aims to streamline mathematical problem-solving processes, offering a robust and precise tool for real-time recognition, classification, and solution generation. This work provides a novel method of automating the solution …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 25–30 Read article
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Healthcare IT Innovations: Blockchain Technology for Healthcare Data Security and Privacy
Abstract: The healthcare sector has undergone a significant digital transformation, leading to the generation and sharing of vast quantities of sensitive medical data. While this digitization has improved patient care and outcomes, it has also introduced critical challenges related to data security and privacy. The increasing rate of data breaches in healthcare puts patient confidentiality at risk, mainly leading to identity theft, financial fraud, and loss of public trust in healthcare …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 01–12 Read article
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Emotions and Artificial Intelligence in Finance: Exploring the Relationship
Abstract: The integration of Artificial Intelligence (AI) into financial systems has profoundly transformed the industry, providing unprecedented efficiency, accuracy, and speed in decision-making processes. These technological advancements have streamlined operations, reduced human errors, and enabled more informed decision-making based on vast datasets analyzed in real-time. However, the role of emotions in finance remains a critical factor that cannot be ignored. Human emotions, such as fear, greed, and optimism, frequently drive market …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 11–17 Read article
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Evaluation of the Impact of Organizational and Human Factors on Employee’s Behavior in a Petroleum Refinery
Abstract: According to the WHO, 2.9 billion workers worldwide are exposed to different hazards at workplace. Researchers have focused a lot of emphasizes on work-related illnesses, fatalities, and injuries, which has raised awareness of event causation in the workplace. It is speculated that workers' at-risk behaviors, which can be decreased through behavior modification, are what lead to the bulk of workrelated accidents. A study was conducted to analyze the organizational and …
Published in Journal of Industrial Safety Engineering · Vol. 9, Issue 2, 2022 · pp. 11–16 Read article