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1904 articles for “system modeling”
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Machine Learning Techniques for Early Detection of Heart Disease
Abstract: Cases of heart disease are increasing rapidly, thus it's important and concerning to be aware of any potential ailment beforehand. This diagnosis is a difficult task that must be completed fast and precisely. The primary goal of this study is to determine which patient, based on different medical features, has a higher chance of having heart disease. We created a heart disease prediction algorithm based on the patient's medical history …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 3, 2023 · pp. 16–21 Read article
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Analysis on Heat Recovery of an Engine Radiator using (CH2OH)2 Based Nanofluid Having TiO2 Nano Particles
Abstract: Automobile engine produces high amount of heat in the process of combustion. This internal heat rises the temperature of engine to very high level and can damage or seize the engine parts. Hence for the safety of engine components, it needs to run at much lower temperature, which is called engine working temperature. Ethylene glycol based nanofluids are used as the working fluids for the radiator and Titanium Dioxide, Silver, …
Published in Journal of Thermal Engineering and Applications · Vol. 6, Issue 2, 2019 · pp. 10–23 Read article
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Investigations on PAPR Reduction using PTS Technique for OFDM Communication Systems
Abstract: AbstractOrthogonal Frequency Division Multiplexing (OFDM) is a spectral efficient technique for high data rate communication systems. It also provides robustness to multipath frequency selective fading but suffers from high peak-to-average power ratio (PAPR) and causes high power amplifiers to operate in the nonlinear region. In this paper partial transmit sequence (PTS) as PAPR reduction technique has been investigated. Mathematical modelling and Matlab simulation have been carried out to analyse its …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 3, 2015 · pp. 19–26 Read article
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Simulation of Flow Vorticity and Instability Analysis in a Solid Rocket Motor
Abstract: Combustion instability is a major problem in most solid rocket motor (SRM) during its operation. More form of instability is generated due to several factors like coupling of combustion acoustic waves with flow dynamics, grain configuration, combustion chamber design, combustible mixture, etc. This type of flow turbulence is sustained in such system for long durations and leads to failure of the mission. In this paper, an effort has been made …
Published in Journal of Experimental & Applied Mechanics 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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Algorithmic Strategies for Complex Data Handling: Optimizing Data Structures for Enhanced Computational Performance
Abstract: We live in an age of big data and processing very large often complicated datasets can be crucial to efficient algorithmic performance. This paper discusses different algorithmic techniques when working with difficult data and how to arrange your information structures correctly for better functionality in large-scale methods. It checks the impact of different algorithms like sorting, searching, and hashing in boosting its processing speed as well as memory use. This …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 1–10 Read article
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Fake Cryptocurrency Detection Using Python
Abstract: This study investigates the use of Python-based techniques for detecting fraudulent cryptocurrencies, addressing a growing concern in the digital financial ecosystem. The research methodology integrates various data science approaches, including web scraping, API integration, and advanced data analysis using Pandas and NLTK. Machine learning models, particularly classification algorithms such as Random Forest, are employed to analyze key features extracted from cryptocurrency whitepapers, social media discussions, and transactional data. By training …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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Computer and Commerce – Relationship for The Future
Abstract: The relationship between computers and commerce has evolved dramatically over the past few decades, transforming the way businesses operate and how consumers interact with markets. This synergy continues to grow and holds significant potential for the future. Computers, through advancements in artificial intelligence (AI), machine learning, cloud computing, and big data analytics, have revolutionized commerce by enhancing efficiency, improving decision-making, and fostering innovation. In the future, we can expect even …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 42–59 Read article
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Analysis of Vibrational Induced Structure Considering Rail and Seismic Load Using ETABS
Abstract: In the past, buildings next to railroad tracks were not taken into account when designing them, which resulted in catastrophic damage to the buildings as well as fatalities. For these structures to be designed safely, the vibrational loading must diminish. This study's case study is the Rani Kamlapati railway station in Bhopal, which was renovated by the Bansal Group and is the nation's first private railroad station. They suggested building …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 3, 2023 · pp. 1–13 Read article
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Productivity of Hydraulically Fractured Calcite Rich Shale Reservoirs Enhanced by Acid
Abstract: The current low oil prices have highlighted the need for enhancement to current production from shale formations. Prolonging the production life and increasing productivity of the fracture network in the shale plays can be a way to improve the economics. Many shale wells, drilled and completed based on current completion strategies, show sharp decline after initial flash production. One of the reasons behind this can be attributed to closure of …
Published in Journal of Petroleum Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 54–68 Read article
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Cloud Computing Security: A Technical Review
Abstract: AbstractIn the current scenario, due to the lack of professional testing and evaluation system for cloud computing information security products, the basic security of cloud computing information security products cannot be guaranteed. The foundation of a test and assessment arrangement of CC (cloud Computing) data security items is provided, and the system is used in the actual product testing, to further promote the development of cloud computing and information security. …
Published in Current Trends in Information Technology · Vol. 10, Issue 3, 2020 · pp. 1–13 Read article
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Comparison of Under Nutrition Among 6–59 Month Children of Food Secure and Insecure Households in Artumafursi District, Oromiya Special Zone, Amahara Region, Ethiopia, 2016
Abstract: Background: Under nutrition remains one of the most common causes of morbidity and mortality among children under-five years of age throughout the world. Objective: This study was aimed at comparing the magnitude of under nutrition among children of 6–59 months of age of food secure and insecure households in Artumafursi district, South East Amarha, Ethiopia. Methods: Community-based comparative cross-sectional study was conducted among 1078 children from March to June 2016. …
Published in Research and Reviews: A Journal of Medicine · Vol. 8, Issue 2, 2018 · pp. 12–22 Read article
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Numerical Study of Natural Convection Heat Transfer in Porous Particles Through Composite Filters
Abstract: The study of heat transmission through porous materials within the confines of reactor configurations stands as a pivotal realm of inquiry in the realms of engineering and the applied sciences, possessing wide-ranging applications spanning from soil mechanics to the refinement of heat exchange systems. Porous substances, distinguished by their interconnected voids or interstices, present an array of reactor forms that profoundly shape the flow of fluids and the conveyance of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 268–279 Read article
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Energy harnessing solution using a vertical axis wind turbine installed on the automotive rooftop.
Abstract: The transportation sector plays a major role in greenhouse gas emissions, prompting worldwide initiatives to mitigate its environmental effects. While the shift from internal combustion engines to electric vehicles is growing, it often merely shifts emissions rather than eliminating them, as fossil fuels continue to dominate energy production. A comprehensive solution requires universal access to renewable energy sources like wind, solar, and hydro power, which is currently impractical due to …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 1–21 Read article
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Calorie Measurement and Food Recognition Using Machine Learning
Abstract: Nowadays, all over the world most people are suffering from different types of diseases or obesity. This is because of bad food habits or eating food without knowing the calorie and other sources from the foods. Precise techniques for gauging food and energy consumption play a vital role in addressing obesity. Offering users or patients accessible and smart solutions to assess their food intake and gather dietary information constitute valuable …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 1–9 Read article
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Engineering Polymer Innovations for Improved Battery Safety and Vehicle Efficiency: A Comprehensive Review
Abstract: Electric vehicles (EVs) are high-power systems that require high-quality materials to ensure safety, reliability, and performance under extreme operating conditions. Polymer materials have become critical engineering materials in meeting these requirements due to their lightweight nature, design flexibility, durability, and high electrical insulation capability. Consequently, polymers are widely used in key EV components, including battery enclosures, module frames, thermal interface materials, wiring insulation, and lightweight structural parts.Recent developments in polymer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 500–512 Read article
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Textual Clues to Stress: A Machine Learning Approach
Abstract: Nowadays, numerous individuals utilize social media platforms to share tweets about their daily lives, which often reflect their mental well-being. Recognizing and managing stress is essential before it becomes a serious issue. Each day, a significant volume of informal messages is posted on discussion forums, blogs, and social networking sites. This study introduces a method for detecting stress using information gathered from social media, with a focus on Twitter. The …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 72–76 Read article
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Enhancing Solar Water Pumping in Arid Regions with Hybrid Super Capacitor and Battery Storage
Abstract: Water scarcity and unreliable grid electricity are two of the most pressing challenges facing rural communities in arid and semiarid regions. Standalone solar photovoltaic (PV) pumping systems have emerged as a clean, lowmaintenance alternative to dieselpowered pumps, yet their performance is constrained by the intermittent nature of sunlight and the limited energybuffering capacity of conventional batteries. This study investigates the integration of a highpower, highenergydensity supercapacitor bank as a hybrid …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 1, 2026 · pp. 17–29 Read article
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Advancing Healthcare Systems: A Machine Learning Approach to Multi-Disease Prediction
Abstract: The integration of machine learning algorithms in healthcare has revolutionized the way we approach disease prediction and diagnosis. An attempt to employ machine learning techniques to forecast numerous diseases is presented in this study. A diverse dataset containing patient records, medical history, and relevant features for various diseases was used to develop predictive models. Feature selection and normalization were among the preprocessing methods used to clean and prepare the data. …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 1, 2025 · pp. 1–6 Read article
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A Machine Learning Based Artificial Intelligence Model for Detecting Heart Illness
Abstract: This study centers around the improvement of an artificial intelligence- and computerized reasoning-based heart sickness determination framework. We exhibit how AI can help with foreseeing whether an individual will get cardiovascular infection. In this review, a Python-based application for medical care research is created since it is more reliable and helps track and lay out many kinds of well-being observing applications. We show information handling, which incorporates working with all …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 50–58 Read article