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1266 articles for “system identification”
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A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
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Comparative Study of Various Injection Methods for Reducing Engine Heat of Internal Combustion Engine
Abstract: To maintain a proper engine temperature and better combustion of internal combustion engine anexperimental study is conducted with mixing additional substance into the combustion chambermixed with petrol. The additional substance added are water, hydrogen and methanol. Out of thethree substances mixed with the fuel, the overall engine temperature and combustion is identified.The injection method is organized using a fuel injection system or by a carburettor. Three differentmethodswerestudied,includingmethanol,water,andhydrogen.Theenginewasnaturallyaspirated and operated at …
Published in Trends in Mechanical Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 7–17 Read article
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Implementation of Robotics in Pharmacy System
Abstract: Implementation of robotics are the essential aspects for development of the pharmacy sector. This replaces the medication (or) industrial process with new technology which results in significance of accurate and quality results. This technology aims to detect and ensure quality of finished products with new methodology which increases in productivity and it also identifies potential problems and rectify them which gives a great impact on pharmacy system. The main purpose …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 1, 2024 · pp. 1–15 Read article
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Use of Light Curing Units in Orthodontics: A Review
Abstract: Light curing units, because of their wide field of applications, are now indispensable for an orthodontist or a general dentist, and hence it is very important to be familiar with the various types of light curing units, their history, specifications, advantages, and disadvantages. To find the articles appropriate for this systematic review, a search was conducted in the database PubMed (from 1966 to March 2010) using the terms abstracts of …
Published in Research and Reviews: A Journal of Dentistry · Vol. 2, Issue 1-3, 2011 · pp. 69–75 Read article
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Animal Species Prediction Using Deep Learning
Abstract: In the face of escalating biodiversity loss, effective monitoring of animal species is critical for conservation efforts. This study presents a deep learning approach for species detection and a multimodal feature identification technique for animals vulnerable to poaching. The suggested prediction system recognizes objects automatically by the application of deep learning techniques to detect objects and then recognize them by using computer vision techniques, and it is triggered when an …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 14–22 Read article
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Integration of Taguchi and MCDM Techniques for the Optimization of Experimental Parameters in Electrical Discharge Machining: A Research
Abstract: Electric discharge machining (EDM) represents a non-conventional approach to machining, particularly beneficial for processing hard-to-machine materials or components with high length-to-diameter ratios or intricate shapes. Widely employed across various industries such as automotive, chemical, aerospace, biomedical, and tool and die, EDM offers a unique method for achieving precise shapes and dimensions. Unlike traditional machining methods where form is attained through the interaction of the tool and workpiece, EDM operates without …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 6–14 Read article
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Integration of Taguchi and MCDM Techniques for the Optimization of Experimental Parameters in Electrical Discharge Machining: A Research
Abstract: Electric discharge machining (EDM) represents a non-conventional approach to machining, particularly beneficial for processing hard-to-machine materials or components with high length-to-diameter ratios or intricate shapes. Widely employed across various industries such as automotive, chemical, aerospace, biomedical, and tool and die, EDM offers a unique method for achieving precise shapes and dimensions. Unlike traditional machining methods where form is attained through the interaction of the tool and workpiece, EDM operates without …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 6–14 Read article
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Multisensor Data Fusion based Intelligent Temperature Measurement Technique
Abstract: Design and validation of a temperature measurement technique using fusion of temperature sensor like resistance temperature detector (RTD), and thermistor is proposed in this work. The objective of proposed work is to design a technique using fuzzy logic algorithms to fuse two different sensors having dissimilar characteristics. A fuzzy logic system is trained to produce an output for a temperature measurement system which is (a) more linear input-output characteristics as …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 2, 2014 · pp. 1–13 Read article
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DDoS Detection Using Cascade Correlation for Improving Network Resources in Cloud Environment
Abstract: Intrusion detection is critical for protecting network security from emerging cyber threats. This study describes a unique intrusion detection system (IDS) based on the Random Forest algorithm. Random Forests are used as an effective classifier to identify patterns linked with malevolent behaviour. This technique uses Random Forests to improve the accuracy and efficiency of intrusion detection systems. The suggested methodology's value is shown by its performance on the benchmark KDD …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 17–22 Read article
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Study on Effect of Insulation Design on Thermal-Hydraulic Analysis: An Important Aspect in Subsea Pipeline Designing
Abstract: The most imperative and challenging operational hazards for oil and gas pipelines are the risks associated with the transportation of fluids. When water, oil and gas flow simultaneously inside the pipeline, there are quite high chances that, water and hydrocarbon fluids can form and deposit hydrate such as wax and asphaltene on the inner surfaces of the pipeline and gradually blocking it. In this paper we explore and compare the …
Published in Journal of Petroleum Engineering & Technology · Vol. 4, Issue 1, 2014 · pp. 33–44 Read article
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A Survey on Deep Learning based Detection of Abnormal Human Behaviour using Computer Vision Human Activity Recognition System
Abstract: Abnormal Human activity recognition (Abnormal HAR) systems are very popular among researchers nowadays, they attempt to identify and analyze human activities using acquired information from sensors. Several papers have already been published in the abnormal HAR topics, the technologies in this field have multidisciplinary nature. They need constant updates. Our literature survey divided the approaches into three categories, the first one is about wearable sensor-based approach, the second one is …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 32–41 Read article
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PLANNING PROPOSAL FOR DEVELOPMENT OF LOGISTIC PARK USING BWM METHOD: A CASE OF DREAM CITY, KHAJOD, SURAT.
Abstract: In the recent era, Transportation considers the foremost powerful component of the business supplying system. There’s also an independent relationship between the transport infrastructure and therefore the logistics system. The study aims to hold out a comparative analysis of transport-logistic problems supported intelligence parameters that affected them. Within the research study, the authors focused on the foremost affected criteria on logistics systems namely administration, technology, geographical and transportation. The BWM …
Published in Trends in Transport Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 10–18 Read article
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Groundwater Resources and its Development through Artificial Recharge in Mehsana District of Gujarat State, India
Abstract: Groundwater is one of the most valuable natural resources and supports human health, economic development and ecological diversity. Timely and reliable information on occurrence, movement and deterioration of groundwater is a pre-requisite for demanded water quantity with satisfying quality. Artificial groundwater recharge plays a vital role in sustainable management of groundwater resources. The study area has been facing severe water scarcity due to scanty precipitation and intensive agriculture during the …
Published in Journal of Water Resource Engineering and Management · Vol. 3, Issue 3, 2016 · pp. 1–10 Read article
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Identification of Elements Exist in Area Around Khartoum Petroleum Refinery Using Spectroscopic Method
Abstract: Laser-induced breakdown spectroscopy (LIBS) is a method of atomic emission spectroscopy (AES) that uses a laser-generated plasma as the hot vaporization, atomization, and excitation source. Plasma is often called the fourth state of matter. The various states of matter occur as a substance is heated to temperatures corresponding to thermal energies above the binding energies for particular state of matter. Structured systems placed in a sufficiently hot environment. LIBS technique …
Published in Journal of Petroleum Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 1–14 Read article
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Advancements in Phishing Detection: Automated Systems in Real-World Scenarios
Abstract: The goal of the abstract is to offer an automated method that uses login URLs to identify real-world scenarios. Phishing is a type of cyberattack that involves social engineering, when malefactors trick victims into providing their login credentials via a login form that sends the information to a hostile site. In this research, we offer a system that uses URL analysis to detect phishing websites by comparing machine learning and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 12–17 Read article
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Understanding the Role of Remote Sensing Techniques in Monitoring Air Quality for Effective Adherence to Environmental Impact Assessment Practices in Nigeria
Abstract: The paper reviews the Nigerian Environmental Impact Assessment (EIA) Act, outlining the established air quality thresholds and emission caps for stationary sources. The standard applies to; common pollutants like sulphur dioxide, carbon monoxide, ozone, particulate matter and nitrogen oxides; toxic metals such as arsenic, nickel, cadmium and mercury; as well as volatile organic compounds, ammonia, antimony, zinc, formaldehyde and radon.It also describes the major classifications of remote sensing applications, including …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Electronic Voting Machine
Abstract: This study proposes a complete overview of the voting machine, comparison and issues among the conventional system and EVMs. Voting in election forms the fundamental right of democracy which creates a bridge between the governments and governed. In the current scenario, because of successive advancement in voting methods with technology from ballot paper to EVMs and other methods reduces expense and time, and also increases security and trust of the …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 1, 2020 · pp. 32–41 Read article
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Design and Development of an Automated Robotic Algorithm for Blasting, Painting, and Barnacle Cleaning of Offshore Structures
Abstract: Marine surface maintenance tasks such as barnacle removal, abrasive blasting, and protective painting are traditionally carried out using manual methods that are labor-intensive, hazardous, and prone to variability in quality. These challenges are particularly significant for offshore structures, where harsh environmental conditions and restricted accessibility increase operational risks and maintenance costs. This paper presents the design and evaluation of an autonomous robotic system for automated surface preparation and coating of …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 1–12 Read article
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Accident Prevention System Using Multisensors
Abstract: In developing countries, one of the main The reason for death is road accidents. Especially in a diverse country like India we can see all types of terrains and slopes which are sometimes difficult to drive on [1]. For humans while driving the primary concern is always safety Therefore, we should be always extra cautious whenever we are driving. But accidents are not only caused by not only by external …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 1, 2021 Read article
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A Trust-Enhanced Security Architecture for Authenticating Customer Records in Banking Institutions
Abstract: The growing digital disruption of banking and financial services has completely altered the face of customer onboarding, money transactions, and financial service deliveries. Even as digital technologies provide unparalleled levels of efficiency and accessibility for consumers of financial services, they have also presented new challenges that are equally daunting. Among the growing number of financial threats that digital technology has spawned is the risk of synthetic identity fraud. Unlike identity …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 16–22 Read article