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454 articles for “Prediction”
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Remote Sensing Technologies for Weather Forecasting: Techniques, Uses, andAssessment
Abstract: Remote sensing has become an important tool for modern weather forecasting since it lets us see the Earth's atmosphere and surface all the time and on a huge scale. Remote sensing uses satellites and sensors to collect data in real time on important weather variables like temperature, humidity, cloud cover, precipitation patterns, and atmospheric motion. These numbers are used in numerical weather prediction models to make forecasts more accurate and …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 1, 2026 · pp. 25–34 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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An Overview on AI in Thermal Behaviour of Polymers
Abstract: The integration of Artificial Intelligence (AI) and Machine Learning (ML) into the thermalanalysis of polymers and composite materials has transitioned from experimental curiosity to acornerstone of material science. By replacing costly and time-consuming trial-and-errorlaboratory testing with predictive modeling, AI is accelerating the development of advancedthermal interface materials, fire-retardant polymers, and aerospace-grade composites. Theprediction and optimization of the thermal behavior of polymers and composite materialsrepresent a cornerstone of modern materials science, …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 12–16 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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Mathematical and statistical analysis of operational data from transportation systems that impact the final result of greenhouse gas emissions and other atmospheric pollutants
Abstract: Abstract The main objective of this study is to identify which mathematical and statistical models are used to forecast greenhouse gas emissions and other atmospheric pollutants from transportation systems. The research demonstrates how mathematical and statistical tools are used to identify and anticipate future scenarios from an environmental perspective, thus contributing to better solutions for mitigating increased emissions. The research concludes that mathematical and statistical models can more accurately anticipate …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 14–18 Read article
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Evaluation of the Flow Properties of Self-Compacting Fly-ash Concrete Using Artificial Neural Network
Abstract: The purpose of this study is to examine the feasibility of using artificial neural network programming for the calculation of the fresh properties of self-compacting concrete. The input parameters of the neural network were the mix composition influencing the fresh properties of self-compacting concrete namely; the cement content, the dosages of fly-ash, water, fine aggregate, coarse aggregate, and superplasticizer. The model is founded on a multilayer feed forward neural network. …
Published in International Journal of Structural Engineering and Analysis · Vol. 7, Issue 2, 2021 · pp. 35–40 Read article
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Mathematical Models and Forecast of Effect of Flow Rate on Turbidity and Total Suspended Solids Within Water Bearing Aquifer
Abstract: The aim of study is to develop mathematical models to predict turbidity and total suspended solids upon the influences of recharge and flow rate as a functional parameter in distribution interaction of water parameters within the water bearing aquifer taking a main well A as dispersing point to other wells. Predictive models have been generated to account for the effect of flow rate on turbidity and total suspended solids within …
Published in International Journal of Water Resources Engineering · Vol. 4, Issue 1, 2018 · pp. 52–60 Read article
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Convolutional Neural Network Algorithm for Stress Field Approximation for a Uniaxially Loaded Plate with Holes
Abstract: ABSTRACTKnowing the high stress concentration and its location around a hole is of practical importance in designing engineering structures, effective parameters can be selected in order to achieve minimum stress concentration around the hole(s). The visualisation of the stress distribution is done experimentally or numerically using finite element analysis (FEA). This study involved the approximation of the von Mises stress field distribution around regular holes in finite metallic plates, based …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 1–12 Read article
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A Review on Property Price Tracking Using ML Model
Abstract: The very common reason for an investment is to get benefits in future. Different legal and illegal utilization leads to cost fluctuation. It is therefore important to well manage the [exploitative] of the property, and an application like price predictor is well equipped with optimal solution. However, such price prediction methods require an appropriate knowledge and experience regarding this domain. By utilising machine learning techniques and algorithms, the price of …
Published in International Journal of Analog Integrated Circuits · Vol. 8, Issue 2, 2022 · pp. 11–20 Read article
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Design and Prototype of an Autonomous Car using Image Processing
Abstract: The goal of the project is to construct a working model of an autonomous vehicle. The car will receive the essential information from the outside world through the use of an HD camera for image processing. The car can drive itself safely and intelligently to the specified location, reducing the possibility of human error. Numerous currently used methods, like object and lane identification, are combined to offer the car the …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 1, 2023 · pp. 6–12 Read article
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Dynamic Matrix Control Versus Nonlinear ModelPredictive Control for the Van de Vusse ContinuousStirred-Tank Reactor: Diagnosing and Correcting aCost-Function Pathology That Masked NMPC’sTrue Performance
Abstract: The Van de Vusse reaction in a continuous stirred-tank reactor (CSTR) is a benchmark for nonlinear multivariable control, but its narrow operating envelope creates a trap for nonlinear model predictive control (NMPC): when the setpoint step is small relative to the plant’s reachable range, a standard quadratic NMPC cost function can make zero control action mathematically optimal, even with a perfect prediction model. This paper documents that failure mode, traces …
Published in International Journal of Chemical Separation Technology · Vol. 12, Issue 2, 2026 · pp. 55–66 Read article
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Advanced Magnesium-Based Metallic GlassComposites for Biomedical Implant Applications: AMachine-Learning-Informed Approach
Abstract: Magnesium-based bulk metallic glasses (Mg-BMGs) combine strength, low density, and tunable degradability. Their amorphous matrix has a small plastic process zone. This zone is only about 4 μm wide. A small process zone keeps most glasses brittle. Adding a second phase is the best fix. This chapter extends Mg-BMGs to true composites. We call these Mg-based bulk metallic glass composites, or Mg- BMGCs. The chapter covers matrix engineering and interfacial …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 2, 2026 · pp. 48–65 Read article
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Virgin-Recycled Thermoplastic Matrix Systems as Engineered Composite Materials: A Compositional Framework for Mechanical Property Retention in Secondary Polymer Supply Chains
Abstract: Virgin-to-recycled thermoplastic resin blends, while conventionally treated as simple two- component mixtures in secondary polymer supply chains, exhibit compositional and morphological characteristics that are more accurately described using the framework of engineered composite matrix systems. This paper presents a compositional framework for understanding and predicting mechanical property retention in virgin-recycled polypropylene (PP) and high-density polyethylene (HDPE) matrix systems, developed through more than twenty years of commercial secondary polymer distribution practice …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 2, 2026 Read article
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Data Science for Environmental Modelling
Abstract: Abstract: Soil moisture is a critical Earth system variable linking atmospheric, hydrological, and ecological processes. However, observations are sparse and fragmented: in situ gauges provide point data, satellite missions (SMAP, SMOS, Sentinel-1) offer broad coverage at coarse resolutionQ, and land‐surface models (GLDAS, ERA5, etc.) yield estimates with their own biase. Here we propose a conceptual framework for integrated environmental data modelling, combining rainfall, temperature, and soil moisture information with machine …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 33–40 Read article
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Data Science for Environmental Modelling
Abstract: Abstract: Soil moisture is a critical Earth system variable linking atmospheric, hydrological, and ecological processes. However, observations are sparse and fragmented: in situ gauges provide point data, satellite missions (SMAP, SMOS, Sentinel-1) offer broad coverage at coarse resolutionQ, and land‐surface models (GLDAS, ERA5, etc.) yield estimates with their own biase. Here we propose a conceptual framework for integrated environmental data modelling, combining rainfall, temperature, and soil moisture information with machine …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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IoT-Based Battery Management System for Electric Vehicles
Abstract: Electric vehicles (EVs) are becoming increasingly popular due to rising fuel costs and environmental concerns in contemporary applications, where energy storage systems power a wide range of devices, from small gadgets to big electric vehicles and renewable energy grids, efficient battery management is becoming more and more crucial. This study proposes the design and implementation of an Internet of Things (IoT)-based battery management system (BMS) that can continually monitor vital …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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Artificial Intelligence Applications in Mechanical Engineering: A Pathway to Industry 4.0
Abstract: Abstract— The emergence of Industry 4.0 signifies a groundbreaking change in the industrial landscape, propelled by the integration of cyber-physical systems, the Internet of Things (IoT), and artificial intelligence (AI). This period represents the convergence of digital technologies with conventional manufacturing practices, resulting in the development of intelligent, interconnected, and autonomous production settings. For mechanical engineering—traditionally focused on physical systems, manual design, and empirical approaches—this shift has brought about an …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–6 Read article
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NEXT-GENERATION TRAFFIC OPTIMIZATION SYSTEM
Abstract: Abstract- Traffic lights at intersections automatically adjust based on the flow of traffic. Reinforcement learning enables continuous learning and optimization for more effective traffic control. Traffic lights are dynamically adjusted thanks to sensors that collect real-time data on the number of cars. By predicting the condition of the roads, predictive analytics helps avoid traffic jams. reduces stop-and-go traffic, which in turn reduces fuel consumption and pollution. A scalable system designed …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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A Review of Combustion Modeling Techniques for IC Engines: CFD Simulations and Experimental Correlations
Abstract: For a long time, internal combustion (IC) engines have been the mainstay of power generating and transportation systems. However, a move toward cleaner and more efficient engine technologies has been spurred by stricter pollution restrictions and growing environmental concerns. In this context, combustion modeling has emerged as a critical tool for understanding in-cylinder processes and improving engine performance. This review focuses on the evolution and application of various combustion modeling …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 1, 2025 · pp. 13–20 Read article
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A Review on Surface Error Compensation in Thin-Walled Component Machining
Abstract: *Author for CorrespondenceManikandan HareendranE-mail: [email protected] 1,4,5,6Associate Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India2,3Assistant Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India7Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India Received Date: November 12, 2024Accepted Date: November 14, 2024Published Date: November 22, 2024 Citation: Rajeeve K. Mohana, Santhu Varghese Thomas, Rahul Krishnan, Johan George Cherian, Navish …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article