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1732 articles for “Predicting”
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Generative Design of Bioactive Orthopedic Composites for Fracture Repair Using an Integrated Conditional GAN–Transformer Framework: A Multi-Objective Approach
Abstract: Orthopedic composite implants for fracture repair must simultaneously satisfy conflicting mechanical and biological demands: high fracture toughness, sufficient compressive stiffness, and bioactive surface chemistry enabling osteoblast adhesion and mineralization. Existing design approaches rely on trial-and-error experimentation, yielding sub-optimal trade-offs between these objectives. This paper presents an integrated conditional Generative Adversarial Network–Transformer (cGAN-T) framework for fully computational, multi-objective generative design of hydroxyapatite (HA)-reinforced polymer composite microstructures targeting Orthopedic fracture repair. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 21–35 Read article
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Machine-Learning-Assisted Development of Polymer-Biochar Composite Adsorbents for the Removal of Heavy Metals from Gomti River Water
Abstract: Rapid urbanization, industrial discharge, and agricultural runoff pose a significant threat to freshwater sustainability and public health. Within these ecosystems, polymer pollutants—such as microplastics, nanoplastics, synthetic fibres, and additive residues—have emerged as persistent vectors capable of adsorbing and transporting toxic heavy metals. Because these polymeric contaminants dynamically interact with conventional aquatic parameters to alter pollutant mobility and ecological risk profiles, there is an urgent need to transition from passive environmental …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 72–95 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
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Industrial Prognostics via Ensemble Machine Learning: An Uncertainty Aware Framework for RUL Estimation on NASA FD004 Telemetry
Abstract: Estimating the Remaining Useful Life (RUL) of industrial machinery in real-time is now vital for both operational safety and smart resource management. In the aviation industry, turbofan engines deal with constantly shifting flight conditions, making traditional, scheduled maintenance both expensive and prone to error. This paper addresses the flaws in common “point-prediction” AI models, which offer a single failure date without any margin for error, by introducing a new, uncertainty-aware …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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A Hybrid Mathematical Model for Epidemic Outbreak Forecasting Using Machine Learning and Cloud Computing
Abstract: The increasing frequency of infectious disease outbreaks has emphasized the necessity for intelligent epidemic surveillance systems capable of predicting disease spread at an early stage. Conventional outbreak detection approaches rely heavily on delayed statistical reporting and manual monitoring techniques, resulting in reduced responsiveness during critical periods. This paper presents a mathematical predictive framework for epidemic outbreak detection using machine learning and cloud computing technologies. The proposed framework integrates the Susceptible–Infected–Recovered …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 01–06 Read article
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Smart Education through Machine Learning: A Review of Trends, Benefits, and Risks
Abstract: Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern. The article emphasises …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 24–28 Read article
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Thermal Performance Analysis and Optimization of Pin-Fin Heat Sink Using CFD, Taguchi Method, and Machine Learning
Abstract: Efficient thermal management is essential for improving the performance and reliability of modern engineering systems and electronic devices. This study presents the design, simulation, and optimization of a pin-fin heat sink using SolidWorks for three-dimensional modeling and ANSYS for thermal and computational fluid dynamics (CFD) analysis. Four different pin-fin geometries, namely square, pentagon, octagon, and circular fins, are considered to evaluate their thermal performance under varying operating conditions. Aluminum is …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 8–20 Read article
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Thermal Performance of Flat Tube Louver Fin Heat Exchanger using Artificial Neural Network
Abstract: In this paper, an application of artificial neural networks (ANNs) is presented to predict the outlet temperatures on both fluid side of flat tube louver fin type heat exchanger used in flat tube louver fin heat exchanger. A validated numerical code is developed using MATLAB to generate huge data sets which gives outlet temperature of both the fluids. Three-layer feed-forward back propagation neural network is developed to model the thermal …
Published in Journal of Thermal Engineering and Applications · Vol. 4, Issue 3, 2017 · pp. 6–12 Read article
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Examination of Density and Weight Effect of Soft Woods on Tensile Strength and Deliverability Time
Abstract: The role of density and weight of soft wood was examine in this study as well as its contribution to truck performance as related to the factors required to attain the goal and objectives of the procurement as designed. The Buckingham Pi Theorem applied in this study reveals that the coefficients considered as a constrain factors was adequate to monitor and predict the significance of density and wood on the …
Published in Emerging Trends in Chemical Engineering · Vol. 9, Issue 3, 2022 · pp. 13–20 Read article
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Reduction of Electric Vehicle Driving Range Due to Battery Capacity Fading
Abstract: This paper is mainly focused to the estimation of the reduction of the driving range in electric vehicles due to battery capacity fading as a consequence of the aging effects with cycling. A scale model reproducing the real driving conditions in electric vehicles has been used to develop a simulation process to evaluate the incidence of the cycling on the battery capacity fading. The model on which the simulation has …
Published in Journal of Automobile Engineering and Applications · Vol. 8, Issue 2, 2021 · pp. 1–16 Read article
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Analysis of The Performance of A PV/PCM System in Variable Solar Radiation Conditions
Abstract: This paper studies the performance of a PV/PCM system operating at variable solar radiation conditions. The system has been tested for six different solar radiation levels, from 250 W/m2 to 950 W/m2 determining the steady-state temperature for every case. An algorithm has been developed to predict the steady-state temperature. This prediction has produced values within 97% accuracy of experimental data. A reduction of temperature up to 18.9ºC has been achieved. …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 12, Issue 1, 2021 · pp. 1–20 Read article
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Two Degrees of Freedom Observer Controller for Load Frequency Control with Communication Delay
Abstract: Two degrees of freedom (2-DOF) Smith predictor based observer controller is designed for load frequency control of two area systems with communication delay. The conventional proportional integral (PI) controller is used for command tracking and an independent observer based feedback controller is designed for disturbance of change in load demand. In interconnected power system, the presence of communication delay complicates the design and implementation of the controller. The original delayed …
Published in Journal of Control & Instrumentation · Vol. 8, Issue 2, 2017 · pp. 35–44 Read article
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A STUDY: Validation of Creep Damage Constitutive Equations of Bar 257 Steels at 650°: A Study
Abstract: Validation of creep damage constitutive equations under the future loads, the left over lifetime is predicted to be quite limited. The main objective is to make prediction about the lifetime left because a growing stage of damage is encouraged by the previous history of loading. The ultimate goal is to render a loading spectrum that is complete in nature and predict about the time of keeping the material in the …
Published in Journal of Experimental & Applied Mechanics · Vol. 8, Issue 2, 2017 · pp. 39–44 Read article
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Modeling of Sintering Process for the Preparation of Magnetic Abrasives by RSM and ANN Models
Abstract: In this study, a modeling has been done for the prediction of the sintering process, as sintering process is one of the best processes to prepare magnetic abrasives. The sintering process is modelled by using RSM and ANN techniques. The ANN model has been developed using a multilayer feed-forward neural network and trained with the help of an error backpropagation learning algorithm based on the generalized delta rule. The indication …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 3, 2019 · pp. 5–12 Read article
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Fleet Guard: Advanced Fleet Management and Vehicle Monitoring System
Abstract: FleetGuard: Advanced Fleet Management and Vehicle Monitoring is a game changing IoT solution, crafted using Flutter in the Dart language, set to revolutionize conventional fleet management practices. It seamlessly integrates software and hardware components, with a primary focus on Tire Pressure Monitoring Systems (TPMS) and GPS sensors. This innovative system offers real-time tire pressure monitoring, predictive maintenance, and driver behavior analysis, emphasizing efficiency and safety, ultimately reducing operational costs, and …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 2, 2023 · pp. 18–24 Read article
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Understanding the Structural Stability of the Tehri Dam: A Comprehensive Analysis
Abstract: The Tehri dam is the highest dam in India. The height of dam is 260 m. It is situated on the Himalayan region which is in earthquake prone region. A Sengupta in 2006 found that the predicted deformation due to an M=7.0 earthquake are not large enough to compromise the safety of the dam. However the deformation predicted by Seed and Makdisi’s method, and Bureau’s method for an M=8.5 earthquake …
Published in Journal of Geotechnical Engineering · Vol. 10, Issue 1, 2023 · pp. 1–20 Read article
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Investigation of Mahogany Wood Functional Parameters Effect on Procurement: The Concepts of Buckingham Pi Theorem
Abstract: Buckingham theorem a tool used to predict procurement deliverability of Mahogany wood with impact of weight and density was investigated in the study. Indeed, the research was able to demonstrate the effect of Mahogany wood, density and other contributing factors for evaluation of the tensile strength and the delivery time on the truck. The research was simulated using some functional parameters, which was inputted by the application of MATLAB computer …
Published in Journal of Materials & Metallurgical Engineering · Vol. 13, Issue 1, 2023 · pp. 40–47 Read article
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Pressure Data Analysis and Reservoir Parameter Estimation of Kailastilla Gas Field (Well No. KTL-01 and KTL-02)
Abstract: Well testing has been the subject of research for many decades. Well tests are performed in order to estimate reservoir properties. These estimations are needed to predict the amount of oil or gas that can be produced, and to determine a strategy how to produce this predicted amount. The current method to estimate the reservoir properties seems cumbersome and inefficient. Also, uncertainty regions of the estimated properties are not yet …
Published in Journal of Petroleum Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 92–102 Read article
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Estimation of Dulling Rate and Bit Tooth Wear Using Drilling Parameters and Rock Abrasiveness
Abstract: Optimisation of the drilling operations is becoming increasingly important as it can significantly reduce the oil well development cost. One of the major objectives in oil well drilling is to increase the penetration rate by selecting the optimum drilling bit based on offset wells data, and adjust the drilling factors to keep the bit in good condition during the operation. At the same time it is important to predict the …
Published in Journal of Petroleum Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 1–20 Read article
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Examining the Influence of DEM Resolution in Flood Hazard Assessment using the Flood Modeller Pro 2D Solver
Abstract: Floods are the most frequent natural hazards that threat the human life, environment and infrastructure. The flood prediction models that have wide use in the recent years represent important tools for flood management decisions aiming to mitigate the impacts of the flood events. The accuracy of the constructed prediction models is based on the quality of the primary data, such as the terrain’s resolution. This study examines the effect of …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 1, 2017 · pp. 14–24 Read article