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1889 articles for “model analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Discrete Hidden Markov Model based Face Recognition System Introducing Sustainability of Uneven Lighting Distortion
Abstract: The aim of this work is to enhance the performance of appearance based face recognition system to remove the uneven lighting effect which is generally occurred in natural environment. Active Shape Model has been used to detect the facial shape and contrast based edge detection technique has been applied to reduce the uneven lighting problem. Linear Discriminant Analysis has been used to reduce the dimension of the facial feature vector. …
Published in Trends in Electrical Engineering · Vol. 4, Issue 1, 2014 · pp. 9–16 Read article
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Reverse Engineering and CFD Analysis of Carburetor
Abstract: AbstractA carburetor is a mechanical device that provides necessary support to the superstructure of an internal combustion engine. The function of the carburetor is to mixes the air and fuel for internal combustion engine. A carburetor is used in the two wheeler vehicle. The development of carburetor through conventional manufacturing got many challenges to complexity in design geometry and high competitions in industry due to cost management. Hence a study …
Published in Recent Trends in Fluid Mechanics · Vol. 5, Issue 3, 2018 · pp. 22–32 Read article
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The Early Brain Hemorrhage Prediction System Using Machine Learning
Abstract: Brain hemorrhage is a critical medical emergency that requires immediate attention, as delays in diagnosis can result in severe neurological damage or death. The condition involves bleeding within or around brain tissues, leading to increased intracranial pressure and disruption of normal brain function. Although imaging techniques such as CT scans and MRI provide accurate diagnosis, their availability is limited in emergency and rural settings. In recent years, machine learning has …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 Read article
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Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review
Abstract: Structural health monitoring (SHM) has a critical role in ensuring civil infrastructure safety, reliability, and durability through real-time, condition-based monitoring. Traditional SHM systems employ hundreds of sensors such as accelerometers, strain gauges, and displacement transducers for monitoring vast amounts of data for structural inspection, but do not effectively manage complicated nonlinear data. This research paper, “Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Methods,” investigates …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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House Price Estimation Using Linear Regression: A Machine Learning Perspective
Abstract: House price prediction plays a crucial role in the real estate industry, helping buyers, sellers, and investors make well-informed decisions. Accurate estimation of property values enables stakeholders to assess market trends, plan investments, and minimize financial risks. This study focuses on the application of linear regression, a fundamental and widely used machine learning algorithm, to predict house prices based on multiple influencing factors. These factors include location, property size, number …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 21–29 Read article
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2D-QSAR (Quantitative Structure Activity Relationship) Study of Probable Inhibitors for Oral and Cervical Cancers, Generation of Model for Pharmacophore Prediction
Abstract: Twenty-four analogs, conjugates and congeners of curcumin reported as inhibitors against HPV 16 E6 and E7 protein targets have been selected for generating QSAR model. The 46 descriptors were calculated using Schrodinger program version quikprop 9.2. Two alternative methods have been used to generate QSAR models. The first model generation was built on 5 descriptors namely glob, QPlogS, CIQPlogS, IP (eV), human oral absorption which were subjected to multiple linear …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 5, Issue 1, 2018 · pp. 1–13 Read article
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PERFORMANCE EVALUATION OF SMEs IN JABALPUR USING INTEGRATED PCA DEA MODEL
Abstract: An integrated principal component analysis and data envelopment analysis frame work has been adopted to assess and ranking of SMEs situated in Jabalpur. the results of the frame work shows the performance of SMEs : weak and strong points of each SME with regard to machinery and equipment. Moreover, the composite rank of the SMEs is calculated to assess the performance. Furthermore, it identifies which indicators have major impacts on …
Published in Journal of Production Research & Management · Vol. 8, Issue 2, 2018 · pp. 30–37 Read article
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The Milklipidometric Model: A Mathematical Equation-based on Electric Conductivity to Predict Butterfat Concentrations in Bovine Milk
Abstract: The milklipidometric model is a mathematical equation to predict butterfat in raw milk and it is based on electric conductivity principle. The model differs from the existing equations in that it uses variables (electric conductivity, and volume fraction of whole milk ) which can be easily measured and it predicts fat at wide temperature, range of 5–60°C. Accurate results can be obtained even using commercial electrical conductivity meters, hence making …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 8, Issue 1, 2019 · pp. 10–21 Read article
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Effect of Process Parameters of Pulsed Current Micro Plasma Arc Welding on Weld Pool Geometry of AISI 304L Stainless Steel Sheets
Abstract: AISI 304L stainless steel is an austenitic Chromium-Nickel stainless steel offering an optimum combination of corrosion resistance, strength, and ductility. These attributes make it a favorite for many mechanical components. The low carbon content reduces susceptibility to carbide precipitation during welding. The effects of pulsing current parameters on weld pool geometry namely front width, back width, front height, and back height of pulsed current micro plasma arc-welded AISI 304L stainless …
Published in Journal of Materials & Metallurgical Engineering · Vol. 2, Issue 1-3, 2012 · pp. 105–116 Read article
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Identification of Papaya Fruit Ripening Process Using AI
Abstract: Identifying the ripening process of papaya fruit using artificial intelligence involves employing machine learning algorithms to analyze various features such as color changes, texture alterations and chemical compositions. This model is capable of analyzing visual cues to determine the stage of ripeness. The dataset compares images of papaya at various ripening stages, and our AI model demonstrated high accuracy in classifying these stages. Employing machine learning algorithms and image processing …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 23–30 Read article
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Designing an Educational Mentoring Model in Line with the Professional Development of Female Primary School Teachers with a Fuzzy Logic Approach
Abstract: The teacher is one of the most important elements known to have a close relationship with students and develop their various talents. If a teacher steps into the education scene with a new, creative and well-equipped attitude, he will naturally deliver capable, creative and new-thinking students to face life wisely and solve the problems of the human world. Therefore, the main goal of this research is to design an educational …
Published in International Journal of Education Sciences · Vol. 1, Issue 1, 2024 · pp. 35–50 Read article
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Power Estimation Approach for Artix 7 FPGA using Machine Learning Technique
Abstract: Abstract This paper presents the power estimation approach using a suitable machine learning technique. Artix7 FPGA has been chosen as the target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs that have been given in the literature viz. probabilistic, statistical, and LUT-based, etc. In the past few years, the demand for hand-handled devices like smartphones, tabs, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 1–5 Read article
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Analysis and Strength Assessment of Solid and Honey Comb Structure of Turbofans in Aeroengines
Abstract: Weight reduction of turbofan engines is one of the main concerns of aero engine manufacturers inorder to reduce fuel burn. To achieve higher fuel efficiency, aero engine manufacturers developturbofans with higher bypass ratio, which can only be achieved with larger (and heavier) fan sections.This makes weight reduction in fan components a major consideration and becomes a key driver forthe use of composite materials in future engines. The objective of this …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 1–16 Read article
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DATABASE-DRIVEN ENERGY MANAGEMENT IN ELECTRIC VEHICLES
Abstract: With the growing concern over environmental pollution, there is an increasing demand for sustainable and eco-friendly technologies. Among these, electric vehicles (EVs) have emerged as a promising alternative to conventional fossil-fuel-based transportation. However, as EV adoption accelerates, efficient energy management becomes critical to enhance vehicle performance, extend battery life, and ensure overall system reliability. This research presents a Database-Driven Energy Management System (DBEMS) that leverages real-time data from EV components …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 19–24 Read article
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Role of Artificial Intelligence in Simulation and Therapeutics in Neurodegenerative Diseases
Abstract: Neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, etc., are a cause of significant mortality rates due to a lack of curative treatments and their complex nature. Traditional therapeutic methodologies have several disadvantages such as slow diagnosis and a lack of effective treatments. They mainly focused on the management of the disease rather than curing it. The integration of artificial intelligence in the simulation and therapeutics of neurodegenerative …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 19–29 Read article
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Harnessing Marine Byproducts and Optimization of Biopolymer Extraction Quality Using Response Surface Methodology and Study of Its Physicochemical Properties
Abstract: Chitosan, a versatile biopolymer derived from chitin, holds immense potential across various industries owing to its antimicrobial, antioxidant, and biocompatible properties. This study aims to optimize the deacetylation process of chitin, sourced from shrimp shells, using Response Surface Methodology (RSM) to produce high-quality chitosan. The Box-Behnken Design (BBD) was employed to evaluate the effects of temperature, time, and alkali concentration on the degree of deacetylation (DD%), a key determinant of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 125–139 Read article
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An Empirical Study on USA Tariff on Indian Sectorial Mutual Fund
Abstract: This study examines the impact of USA tariff on sectorial mutual fund of India. Any type of tariff has significant impact on trade in all over the world. In today’s world, is interconnected with each other so any impact on one country has significantly impact on all over the world. India has impacted in periodic tariff increase on Indian goods, directly affecting export competitiveness, financial result, and economic market. Sectorial …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 1, 2026 · pp. 37–42 Read article
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Python's Applications in the Profession of Data Science
Abstract: Because of its ease of use, adaptability, and huge ecosystem of libraries, Python has become one of the most influential programming languages in the field of data science. Python is highly valued for its straightforward and versatile nature. This study delves into its various uses in data science, including tasks like data preprocessing, exploratory data analysis (EDA), statistical modeling, machine learning, and creating visualizations. Libraries like Pandas and NumPy make …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 23–30 Read article
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Study of Strength of Composite Laminates with Ply- Discontinuities Using FEM
Abstract: Present research work attempts to understand the effect of ply-discontinuities on the strength of the FRP Composite. Finite Element Analyses have been performed for specimen undergoing four-point bend loading condition using ABAQUS software. Three specimens consisting of different ply sequences, same resin pocket size and location have been considered for the present analysis. Cohesive zone modelling technique is implemented to simulate and predict crack propagation pattern during failure of composite …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 89–98 Read article
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Analysis of core and outrigger structural system for different soil condition
Abstract: As achievement of structural system for tall building is not easy task. As the tall building is more affected by lateral loads so design and analysis of high rise building is difficult so to minimized this effects of load now a days new different systems like outrigger system belt truss system. In this present study outrigger system is used with rigid core. In this study G+30 floor building is considered …
Published in Recent Trends in Civil Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 1–9 Read article