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1916 articles for “V-model” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Hypersonic Analysis of Mu Space Engineering Spacecraft (Muses-C) Re-Entry Capsule
Abstract: During the most recent decade, a quick development of learning in the field of reemergence and planetary passage has brought about numerous critical advances helpful to the understudies, specialists and researchers. The issue related with space flight, interplanetary travel or satellite circle is the physical recuperation or survival of the vehicle and its payload (faculty, instruments, etc.) on the earth surface or planetary surface. For atmospheric planets, the issue includes …
Published in Journal of Aerospace Engineering & Technology · Vol. 9, Issue 2, 2019 · pp. 1–19 Read article
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Brine Shrimp Cytotoxicity was not Warrant for Teratogenicity: Comparative Analysis of Seaweed Methanolic Extracts Collected from Tamil Nadu Coastal Region on Brine Shrimp and Zebra Fish Embryos
Abstract: Brine shrimps have been served as valuable toxicological model systems. Besides, they are being used as preliminary models to identify the effective bioactive drug candidates against different diseases including cancer in recent decades. In the present study, we comparatively analyzed twenty-eight seaweed methanolic extracts for their cytotoxicity and teratogenicity using brine shrimp nauplii and zebra fish embryos (ZFEs). All of the seaweed extracts killed brine shrimps, but, only, Ulva lactuca …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 8, Issue 2, 2018 · pp. 24–32 Read article
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Integrating Atmospheric Science: Understanding Greenhouse Gases, Aerosols, and Air Quality Dynamics
Abstract: Atmospheric science investigates the Earth’s atmospheric systems to understand their composition, dynamics, and the implications for climate, weather, and air quality. This review explores five primary areas within the field: atmospheric composition, atmospheric modeling, remote sensing, air pollution, and boundary layer dynamics, highlighting critical challenges and advancements. Rising levels of greenhouse gases (GHGs), including carbon dioxide and methane, continue to drive global warming, while feedback mechanisms—like cloud interactions and surface …
Published in International Journal of Atmosphere · Vol. 1, Issue 1, 2024 · pp. 32–35 Read article
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A Machine Vision Approach for Geofence-based Adaptive Friction Modulation in Connected Semi-autonomous Vehicles
Abstract: Safeguarding vulnerable road user (VRU) safety necessitates fail-safes preventing collisions from semi-autonomous vehicles. Geofencing allows service-zones definition but introduces friction discouraging adoption. This paper details an onboard vision model detecting VRUs by helmet status, triggering reactionary neuro-modulations of vehicle maneuverability. The architecture encompasses a YOLOv3 detector determining pedestrian/bicyclist crossing intent through path extrapolations, calibrated using lidar-fusion correcting distance estimates. The subsequent velocity governor adapts acceleration profiles based on predicted exposure …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 22–29 Read article
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The Response of Blood Platelets to the Vibration Sound in Healthy Subjects and Hypertensive, Diabetic Patients: In Vitro Study
Abstract: Vibration-induced changes in the platelets activity as a result of increased share stress. Mean platelet volume (MPV) is a good indicator of platelet activation. This study aimed to study the effect of vibration sounds, evoked by tuning fork, on the MPV of healthy subjects, hypertensive and diabetic patients in vitro study model. Venous blood samples obtained from healthy subjects (n=7), hypertensive (n=7) and diabetic patients (n=7) were exposed to vibration …
Published in Research and Reviews : A Journal of Immunology · Vol. 5, Issue 1, 2015 · pp. 23–28 Read article
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Big Data Management: Theory & Practice
Abstract: In this paper, Big Data Management is studied. There is finite number of information in Big Data and correspondingly its method of analysis exists. Big Data Analysis (BDA) method is proposed in this paper. A compact method (K-Means Cluster, Generalised K-Means Cluster, C-Means, Fuzzy Means, Fuzzy Numbers, Fuzzy Set, Fuzzy Logic, Neural Network, Genetic Algorithm) based big data analysis is presented in this paper. There are four models are presented …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 2, 2020 · pp. 13–22 Read article
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Providing Captions to the Detected Images: Deep Neural Networks and LSTM
Abstract: Automatically generating captions for images seems to be very interesting but at the same time the task is quite challenging as training a machine with proper comprehension of the image, it’s background, detecting the objects present in it and finally generating the captions is only the frontline projection; The difficult part happens behind the scenes: selecting the dataset, training the model, validating the model, developing pre-trained models to test the …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 3, 2021 · pp. 30–38 Read article
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Identification and Prioritization of Critical Erosion Prone and Water Potential Areas of Manandragarh Watershed Using HEC-HMS for Management
Abstract: This study was carried out at Indira Gandhi Krishi Vishwavidyalaya, Raipur (CG) on hydrological modelling and development of soil and water conservation plan for critical erosion prone and water potential sub-watersheds of Manendragarh watershed of upper Hasdeo subbasin in Chhattisgarh using Hydrological Engineering Centre-Hydrological Modelling System (HEC-HMS). The Hydrological Engineering Centre-Geo Hydrological Modelling System (HEC-Geo HMS) was utilized for developing the model setup, while the HEC-HMS model was employed to …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 1, 2025 · pp. 26–44 Read article
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Affect of Finite Element Modelling on Static Behavior of Underwater Shell
Abstract: The objective of the present study is to compare and contrast different numerical models based on their mesh quality and material properties in predicting the response of an underwater shell under an external pressure of 1 MPa. Two different mesh qualities with the same element size are developed for solid geometries without and with slicing the solids at geometric discontinuities to enhance the element quality. From the static response of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 154–163 Read article
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Evaluation of Cholesterol Reduction in Probiotic Strain Lactobacillus brevis isolated from Human Fecal Sample by Using Surface Response Methodology
Abstract: Lactobacillus brevis, isolated from human feces was assessed for its in vitro cholesterol reduction ability. The effects of bile salts, inoculum size and contact time in simulated intestinal juice were studied. Central composite design model was utilised to determine the effects of interactions of significant variables on cholesterol reduction. By developing a linear regression model, as a function of growth associated variables in vitro cholesterol reduction was assessed. The results …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 9, Issue 1, 2019 · pp. 40–49 Read article
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Augmented Reality in Vehicle Industry
Abstract: There is a nonstop and consistent change in the field of Augmented Reality (AR), both in the retail, and the manufacturing area. It has begun to impact all that from auto industry shows to online vehicle shopping. Purchaser overwhelmingly moved in the vehicle business; the ways are turning out to be more development than the old perceptive ones; the basic purchasing experience no longer fulfills them. Due to the increase …
Published in Journal of Automobile Engineering and Applications · Vol. 9, Issue 1, 2022 · pp. 5–11 Read article
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Electric Vehicle Induction Motor Automated Drive System with Smart Battery Monitoring Performance for Range Exchanger
Abstract: This study describes the development of a model of an electric vehicle (EV) with a smart battery-powered inverter-controlled induction machine drive system. The computer simulation model in MATLAB Simulink is used to estimate the energy and power requirements of vehicles over standard driving cycles under various driving conditions. Here, using smart logic for battery performance, factors affecting range and energy use, helps to optimize maximum efficiency of battery and motor …
Published in Current Trends in Signal Processing · Vol. 10, Issue 3, 2020 · pp. 1–7 Read article
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Mathematical Models for COVID-19 Pandemic: A Comparative Analysis
Abstract: The COVID-19 pandemic has really underlined the importance of mathematical modeling in understanding disease-spread dynamics and especially informing public health interventions. The paper aims to provide a comprehensive comparative analysis of various mathematical models used for COVID-19 studies, with a focus on assumptions underlying those models, strengths, and also the limitations in their applications as well as special focus is given to compartmental models, agent-based models, machine learning-enhanced models, and …
Published in Recent Trends in Mathematics · Vol. 1, Issue 1, 2024 · pp. 42–53 Read article
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Machine Learning Optimization for VARTM Carbon Polymer Laminates
Abstract: Vacuum-assisted resin transfer moulding (VARTM) is a key low-cost, out-of-autoclave process for manufacturing large-scale carbon-fibre reinforced polymer (CFRP) laminates crucial to aerospace wings, wind-turbine blades, marine hulls, and automotive structures. Unpredictable resin flow often leads to voids, dry spots, and race-tracking defects, resulting in 27.9% scrap rates and lengthy, costly trial-and-error design cycles. Although surrogate models provide rapid impregnation predictions for simple flat-plate geometries, vision-based monitoring is limited to idealized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 229–245 Read article
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MODELING AND SIMULATION OF LEGIONELLA TRANSPORT INFLUENCED BY HETEROGENEOUS VELOCITY IN STREAM
Abstract: The purpose of this study is to monitor the behaviour of legionella contaminant in stream, the rate of concentration at different monitoring station developed various rate of effect on the water bodies, heterogeneous velocity of flow in the stream was observed as the major sourced of change in concentration at different stations, the expression from the system developed the derived solution to evaluated the behaviour of the contaminant at different …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 2, 2019 · pp. 29–35 Read article
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Biokinetics of Retention and Dose Delivery to Body Organs due to Protracted Ingestion of Natural Uranium in Groundwater of Patiala District, Punjab, India
Abstract: This study pertains to the uranium concentration in the drinking water and its biokinetics of the retention and dose delivered to body organs of the residents of 50 villages of the Patiala district of the Punjab State where U content is higher than the safe limit of 30 ppb fixed by WHO. U content values vary from 38.0 µg/L (Uppli) to 267.0 µg/L (Ahru Kalan) with an average value of …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 3, 2024 · pp. 1–15 Read article
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Theoretaical Analysis of Self-discharge behavior of Supercapacitor using physical parameter variation in Simulink/ MATLAB
Abstract: Understanding the self-discharge behavior of a supercapacitor is very important regarding make it more efficient for its applications. Different types of RC circuit models have been developed. We have studied the different RC circuit models and took the classical RC circuit model to study self-discharge behavior. This model requires three parameters: a capacitor (Cs), parallel resistance (R), and equivalent series resistance (Resr), and very easy to implement in simulation. The …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 1, 2021 · pp. 14–22 Read article
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Fabrication, Numerical Simulation and Compact Modeling of Ph-BTBT-C10 Organic Thin Film Transistor
Abstract: Flexible and cost-effective electronics have been necessitated by the advent of organic thin-film transistors (OTFTs). This study aims to study the performance of OTFT using a 2-decyl-7-phenyl-[1]benzothieno[3,2-b][1]benzothiophene (Ph-BTBT-C10) organic semiconductor. The paper also explore accurate device modeling for technology optimization and circuit design that supports device improvement. This research includes device fabrication, numerical simulation using TCAD, compact modeling, and parameter extraction. By combining temperature-dependent bandgap narrowing with existing theories, this …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 1–18 Read article
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BREAKDOWN VOLTAGE TEST OF DIFFERENT SOLID INSULATING MATERIALS USING ARTIFICIAL NEURAL NETWORK MODEL
Abstract: In this paper we are presenting Artificial Neural Network (MFNN) model which has different possible inputs affecting the breakdown voltage that are working temperature, the insulating material thickness, dielectric strength of insulating material, volume resistivity of materials, dissipation factor, conductivity of materials, and the materials relative permittivity that also predicts the breakdown voltage as a function of all these inputs parameters. It is important to train the Artificial Neural Network …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 2, 2018 · pp. 22–29 Read article
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A Review on Anesthetic Drug Discovery with Computer Aided Drug Design
Abstract: In contemporary medicine, anaesthesia is essential for enabling surgical procedures, pain control, and patient comfort. Finding and creating safe and efficient anaesthetics is crucial to enhancing patient outcomes and developing the medical field. In this review, we provide a comprehensive overview of anesthetic drug discovery with a focus on the integration of computer-aided drug design (CADD) methodologies. Beginning with an exploration of anesthesia mechanisms and targets, we delve into the …
Published in International Journal of Antibiotics · Vol. 1, Issue 3, 2024 Read article