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72 articles for “Analytical Modeling”
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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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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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ANALYTICAL STUDY OF SEISMIC RESPONSE OF DOUBLE TOWER BUILDING ON A COMMON PODIUM
Abstract: Abstract The recent surge in global population, particularly in urban areas, has led to a significant rise in the demand for tall buildings structures featuring multiple towers on a shared podium. Such complex configurations often result in intricate interactions between towers and podium structures, particularly under lateral loads induced by earthquakes. One of the critical structural behaviours observed in such systems is the backstay effect, which arises due to discontinuities …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 2, 2025 · pp. 9–19 Read article
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Smart Agro-Advisory Systems: AI-Based Platforms for Real-Time Farmer Decision Support
Abstract: Agriculture is a vital sector for food security and economic growth, particularly in the developing world. Farmers, however, often face unpredictability of weather conditions, insect attacks, wasteful use of resources, and uncertainties of the market. Farmers' practices are mostly based on experience and intuition, which might not always be the best to apply. Smart Agro-Advisory Systems (SAAS) based on Artificial Intelligence (AI) offer real-time decision support to farmers, enabling them …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 8–14 Read article
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Evaluation of Antimicrobial Efficacy of Photogenic Iron Nanoparticles Against Xanthomonas campestris
Abstract: This study investigates the antimicrobial efficacy of photogenic iron nanoparticles (FeNPs) against Xanthomonas campestris, a notorious plant pathogen causing bacterial spot disease in various crops. The synthesis of FeNPs was achieved through a facile and eco-friendly green synthesis approach, utilizing a plant extract as a reducing and capping agent. The resulting photogenic FeNPs were characterized using various analytical techniques, confirming their size, morphology, and composition. The antimicrobial activity of the …
Published in International Journal of Composite and Constituent Materials · Vol. 9, Issue 2, 2023 · pp. 37–54 Read article
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Generative Lightweighting of Actuator-Integrated Robotic Structures Under Decentralized Additive Manufacturing Constraints
Abstract: This study presents the implementation and structural validation of a constraint-driven generative design methodology for the development of lightweight actuator-integrated robotic components fabricated using decentralized additive manufacturing. Building upon a previously formalized constraint-driven framework, the method was applied to the synthesis of a modular robotic link representative of actuator-integrated structural elements commonly used in legged robotic systems. The baseline component was defined to preserve critical functional interfaces, including actuator mounting …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 44–60 Read article
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INFLUENCE OF CONSTANT AND VARIABLE PASTERNAK FOUNDATIONS ON DAMPED SIMPLY SUPPORTED BERNOULLI-EULER BEAM UNDER MOVING LOADS
Abstract: This study presents an analytical investigation of the dynamic behavior of a simply supported uniform Bernoulli-Euler beam resting on both constant and variable Pasternak foundations subjected to concentrated moving load with damping. The governing equations of motion were formulated by incorporating the effects of foundation stiffness, shear interaction, damping, and load inertia. Analytical solutions were obtained for both moving-force and moving-mass problems. For the constant foundation case, the Generalized Finite …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 13–29 Read article
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Optimization of Nutritional Parameters for Production of Alpha Amylase Using Aspergillus oryzae MTCC 3017 by Central Composite Design
Abstract: Amylases are the most widely used enzymes that are used many sectors such as clinical, medical, analytical and industrial applications. Beside their use in starch saccharification they also find applications in food, baking, brewing, detergent, textile and paper industries. Increasing utility and consumption of amylase in different industries has placed a greater stress on increasing indigenous enzyme production and search of more rapid processes. The aim of the present investigation …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 2, Issue 1, 2016 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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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Comprehensive Review of Processes, Materials, Developments, and Challenges of Additive Manufacturing
Abstract: Abstract Additive Manufacturing (AM), or 3D printing as it is known widely, has evolved significantly from being a prototyping technology to an end-use production technique across different industrial sectors. This groundbreaking technology allows for the direct creation of intricate, user-designed, and high-performance components through sequential addition of material from digital models, which abolishes most of the design and production constraints of conventional manufacturing. Its application is underscored by its pivotal …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 6–24 Read article