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275 articles for “predictive modeling”
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Intelligent Trajectories: Harnessing Artificial Intelligence for Next Generation Missile and Propellant Design
Abstract: The rapid evolution of artificial intelligence (AI) has unlocked transformative pathways for high-performance aerospace engineering, yet its integration into missile and propellant design remains nascent. This study investigates a hybrid AI-driven framework that unites physics-based modeling, data-centric learning, and multi-objective optimization to accelerate the conception, validation, and refinement of missile airframes and solid-propellant formulations. First, a physics-informed neural network (PINN) is trained on a curated database of historic missile geometries, …
Published in International Journal of Energetic Materials · Vol. 12, Issue 1, 2026 · pp. 20–26 Read article
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A Model for Plastic-Hydrolytic Damage Bioresorbable Polymer Composites
Abstract: This paper explains and assesses a recently developed constitutive model for elastic-damage that may sustain plastic-hydrolytic damage. When a metallic material is subjected to plastic strain, voids and microcracks in the metal matrix start to form, develop, and merge. This is what causes ductilitydegradation in metals. Only a few of the many models that have been presented to depict ductile failure have done a thorough analysis of the entire damage …
Published in International Journal of Composite Materials and Matrices · Vol. 8, Issue 1, 2022 · pp. 23–27 Read article
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Correlation Between CBR Values and Index Properties of Soils
Abstract: Presently India’s infrastructure is growing rapidly. Large number of new urban and lightly trafficked roads are being constructed or planned. The California bearing ratio (CBR) is the well known, common and trustful test currently used in road construction. The CBR values are used by the engineers to design the thickness of pavement layer to be laid on the top of the sub-grade. Laboratory tests like consistency tests, standard proctor test …
Published in International Journal of Construction Engineering and Planning · Vol. 3, Issue 2, 2017 · pp. 18–21 Read article
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Predictive Brain Cancer Detection and Treatment Using Machine Learning and Artificial Intelligence
Abstract: Through the combination of Big Data and the computer science discipline of machine learning, significant insights may be gained. Machine learning may now be utilized to anticipate nearly any result based on any capability thanks to developing technology. By analyzing underlying patterns in the data, machine learning creates an appropriate model. Every day, medical sciences must overcome new obstacles, such as patients' lack of knowledge about the ailments they are …
Published in International Journal of Chemical Separation Technology · Vol. 9, Issue 1, 2023 · pp. 28–39 Read article
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An Evaluative Analysis of the Utilization of Artificial Neural Networks in Forecasting Soil Engineering Characteristics: An Overview Study
Abstract: The primary objective of utilizing synthetic neural networks was to emulate the problem-solving approach akin to the human brain. This approach of employing artificial neural networks gained extensive traction within the realm of geotechnical engineering, where the engineering properties of soil play a pivotal role in ensuring the stability of various engineering structures. The primary concern revolves around the strength and deformation characteristics exhibited by soil masses. The focus lies …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 9, Issue 1, 2023 · pp. 55–63 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified one-stop …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 35–51 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: Abstract This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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A Study of 3D Printing Technology and M.L. Algorithms for Enhanced Production
Abstract: Abstract The realm of 3D printing technology, also referred to as additive manufacturing, has garnered increasing interest in recent times due to its capacity to construct intricate geometric structures. Fused deposition modeling (FDM) stands out among the various techniques and has gained widespread adoption. However, achieving optimal outcomes with FDM poses a challenge, necessitating meticulous selection of process parameters. Presently, many methodologies rely on Machine Learning (ML) algorithms akin to …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 6–15 Read article
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Integration of Nursing Theories in Practice
Abstract: Nursing theory is a well thought-out and systematic expression of a set of recommendations related to questions in the discipline of nursing. A nursing theory is a set of ideas, definitions, relationships, and expectations or suggestions derived from nursing models or from other disciplines and project a purposive, methodical outlook of phenomena by designing specific inter-relationships among notions for the purposes of describing, explaining, forecasting, and /or recommending. The purpose …
Published in International journal of Nursing Science Practice and Research · Vol. 1, Issue 1, 2015 · pp. 8–12 Read article
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Modeling Concrete Tensile Strength from Fly Ash and Alccofine as Partial Replacement for Cement
Abstract: Tensile strength development were carried applying derived modeling and simulation, this study is to monitor the behaviour of the material in tensile state, Several materials has been used as modifiers or partial replacement, but the application of alccofine as a micro-fine materials has not been thoroughly applied by experts, this product has fine particles that is more finer than cement including other materials, the tensile strength behaviour from the studies …
Published in International Journal of Concrete Technology · Vol. 6, Issue 2, 2020 · pp. 22–38 Read article
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An Analytical Approach to Calculate the One-Dimensional Drift Velocity in Bubble Columns
Abstract: The design and scale-up of a bubble column reactor require a complete understanding of its complex hydrodynamics, which is influenced by the physical properties of the phases, the operating variables, and the design parameters. Current design procedures for bubble columns involve several steps of pilot-plant experimentation, which is expensive and time-consuming. One of the critical unknown parameters involved in designing any gas-liquid system is the gas holdup. The gas holdup …
Published in International Journal of Chemical Engineering and Processing · Vol. 5, Issue 2, 2019 · pp. 1–9 Read article
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Predicting the Team Based on Player Performance and Formation in Sports Match by Machine Learning Approach
Abstract: In the field of sports evaluation of player performance and predicting the weight of the player for the formation of a well efficient team is very important. The main aim is to pick the best squad from all the available players. This will help to decide which team of players is the best to play against a particular opponent, perform prediction of the performance of the players in future matches …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 1–5 Read article
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Predicting Traffic Congestion in Mumbai Using Artificial Intelligence
Abstract: Abstract — Mumbai's ongoing traffic problems are brought on by the city's fast urbanization, population expansion, and growing reliance on private automobiles. The majority of traffic management technologies in use today are reactive, frequently reacting only after congestion has already arisen. Using information from a variety of sources, such as commuter surveys, weather reports, and traffic incident logs, this study explores the application of artificial intelligence (AI) and machine learning …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 2, 2026 Read article
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Respiratory Impairment in Stroke Patients With Bilateral Hemisphere Involvement – An Institutional Experience
Abstract: Background: Stroke is considered one of the major causes of impairments in activities of daily living. Respiratory dysfunction in stroke patients, especially those with bilateral hemisphere involvement, is often overlooked despite its critical role in recovery. This study focuses on the prevalence and impact of respiratory impairment in cerebrovascular accident (CVA) patients with bilateral hemispheric involvement. Objectives: The objective of this study was to determine the prevalence of respiratory impairment …
Published in International Journal of Neurological Nursing · Vol. 12, Issue 1, 2026 · pp. 12–18 Read article
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A Realtime Coronavirus Notifier
Abstract: Fresh corona virus deadly disease has not clinically confirmed vaccine or medicines. Its tolerant are improving through the help of antibiotic drug, anti-viral treatments, over and above vitamin C supplementation. It is currently apparent that the world necessities an expedient and speedier answer for contain and tackle the further spread of COVID-19 across the world with the guide of non-clinical advance for instance data mining schemes, improved aptitude furthermore extra …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 1, 2021 · pp. 22–25 Read article
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Analytical study of non-linear dynamic analysis of skew bridge
Abstract: After earthquakes, the function of highway bridges is an important issue. The history of major earthquakes helps in the understanding of the performance of bridges during earthquakes. Many parameters affect the response of skewed highway bridges under both service and seismic loads which makes their behavior complex. However, under certain conditions, it may be necessary to analyze a structure to more accurately predict its structural behavior. The current procedure of …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 9, Issue 2, 2023 · pp. 17–23 Read article
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Two Wheeler Adjustment Factor to Estimate Queue Length at Signalized Intersection under Heterogeneous Traffic Conditions
Abstract: The two-wheeler adjustment factor derived in the present study to predict queue length at approaches of signalized intersections in mixed traffic conditions. The statistical distribution investigation carried out to understand the queuing behavior by using observed queue length obtained from the field. Field data was collected at Suchitra and KBR park intersections in Hyderabad City by using video graphic technic. Highway Capacity Manual (2010) adopted for estimating queue length with …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 7, Issue 2, 2021 · pp. 15–21 Read article
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Data Analytics and Visualization for Unveiling Insights from Digital Twins: Trends and Challenges
Abstract: igital twins represent a paradigm shift in engineering analytics and simulations. As virtual replicas of physical assets and processes, digital twins require the confluence of massive amounts of data, predictive analytics, and visualization capabilities to unlock their full potential. This study provides a comprehensive overview of the role of data analytics and visualization techniques in extracting value from digital twin data. An in-depth literature review analyzes current research trends and …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article
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Advances in Gender Classification from Facial Images Using CNNs: A Comprehensive Review
Abstract: Predicting age and gender from facial images is important for various uses, like social interactions, security, and customizing user experiences. Despite progress in facial recognition technology, getting accurate and reliable predictions is still a challenge. This paper reviews recent advancements in Convolutional Neural Networks (CNNs) for age and gender classification, comparing their effectiveness to traditional methods. CNNs excel in extracting features from images and have shown notable improvements in accuracy …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Steepening Pit Walls- Geotechnical and Economic Implications
Abstract: Current approach to pit-wall analysis tends to separate designs into distinct categories. The first consideration involves analysis of slope in which discontinuities actively participate in the failure mobilization. The second involves design analysis of non-structural controls which could results in a wide range of failure mechanisms. The third and the least sought for approach is the economic assessment of the slope design which could render optimized pit slope and the …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 7, Issue 1, 2021 · pp. 45–57 Read article