Search
419 articles for “model selection”
-
Computation of Remaining Serviceable Life (RSL) of Bituminous Concrete (BC) Surfaced Road Sections using Hdm-4 Model
Abstract: The road network is the basic component that facilitates free movement of traffic from one area to another. The road sections are constructed to facilitate traffic for their entire design life. Due to the insufficient maintenance and rehabilitation activities, road section deteriorates rapidly and rapid deterioration results in entire road section damage prior to its design life. This paper presents the methodology for computing remaining serviceable life (RSL) in years …
Published in Trends in Transport Engineering and Applications · Vol. 4, Issue 2, 2017 · pp. 8–15 Read article
-
Optimizing Sampling Techniques Using Fuzzy Set Theory: A Comprehensive Approach
Abstract: Sampling is a critical process in statistics, used to estimate population parameters without needing to examine the entire population. Traditional sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, face limitations when applied to complex or heterogeneous populations with imprecise boundaries. These methods often fail to accurately represent populations with overlapping characteristics or missing data, resulting in sampling bias and reduced accuracy. To address these challenges, this …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 29–43 Read article
-
AI-Driven Prediction of Mechanical and Thermal Properties in Polymer-Based Functionally Graded Composites
Abstract: The proposed architecture of the current paper is an artificial intelligence (AI)-driven model of forecasting mechanical and thermal aspects of polymer-based functionally-graded composites (FGCs). Traditional micromechanical and finite element models, which are practical in homogeneous composites, might not be able to account in nonlinear interaction that is caused by compositional gradient. To overcome the challenge, machine learning (ML) models like artificial neural network (ANN), support vectors regression (SVR), and gradient-boosted …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 70–89 Read article
-
Heavy Metal Assessment of Rainwater from Owerri Metropolis and Suburbs of Imo State, Nigeria Using GIS, MATLAB and ANN Models.
Abstract: Three hundred and fifty (350) rainwater samples were collected from 35 select locations within Owerri Metropolis, Ehime Mbano and Mbaitoli LGAs and analyzed for Cd, Cu, Fe, Zn, and Pb using standard instrumental methods. The results were compared with the World Health Organization (WHO), National Ambient Air Quality Standards (NAAQS), Federal Environmental Protection Agency (FEPA) and National Agency for Food and Drug Administration and Control (NAFDAC) Standards for drinking water …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 1, 2024 · pp. 38–57 Read article
-
Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
-
Influence of Mechanical Parameters on Corrosion Behavior of Metal Coupons in Simulated Environmental Conditions
Abstract: This study investigates the influence of mechanical parameters—namely applied stress, surface roughness, and deformation history—on the corrosion behavior of metal coupons exposed to corrosive environments. Mild steel and aluminum alloy specimens were prepared with controlled variations in tensile stress, polishing grades, and cold-working levels to simulate real-world mechanical influences. These coupons were immersed in a 3.5% NaCl solution under ambient conditions, and their corrosion rates were monitored over a 30-day …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 6–12 Read article
-
Research Paper On Simulating Air Flow Over An Automobile To Examine Drag Properties
Abstract: Hatchbacks are currently the best-selling vehicles on the market. Consequently, they are expecting more from these medium cheap cars. These expectations might be met by improving the car's performance in terms of fuel efficiency, looks, and speed, as well as lowering the drag force that is applied to it. By lowering the drag coefficient and drag forces, it would be simple to increase speed and fuel efficiency. Drag is one …
Published in Recent Trends in Fluid Mechanics · Vol. 9, Issue 2, 2022 · pp. 35–49 Read article
-
Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling
Abstract: This study proposes a novel Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling (PADT-NO) framework for predictive modelling of complex, nonlinear, and multiscale fluid flows. The proposed mathematical framework integrates fundamental conservation laws, Navier–Stokes dynamics, physics-constrained neural operators, adaptive reduced-order modelling, and uncertainty-aware state estimation within a unified computational architecture. Unlike conventional computational fluid dynamics and purely data-driven approaches, the proposed model dynamically couples high-fidelity physical information with a low-dimensional latent …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 89–103 Read article
-
Prediction Of Compression Index For Lateritic Soil Using Transformed Variable
Abstract: The information on the compression index of a soil is vital in geotechnical design, but its determination is expensive and time consuming. Most models relating compression index and basic soil properties are usually based on soil types. This work seeks to develop a model relationship between compression index and basic soil properties for lateritic soils. Selective transformation method which involves testing some general functional forms, to choose the model that …
Published in Journal of Geotechnical Engineering · Vol. 5, Issue 3, 2018 · pp. 14–23 Read article
-
A Comprehensive Analysis of Classification Methods for Churn Prediction in Financial Services
Abstract: Persistent issues that affect long-term revenue in the banking sector include excessive client attrition. Customary churn models depend on measures related to customer satisfaction, which often result in low predictive accuracy due to their subjective nature. This study proposes an effective early warning model to address customer churn in financial services. Data is preprocessed through cleaning, one-hot encoding, Z-score normalization, and Min-max scaling. To handle class imbalance, the SMOTE algorithm …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 47–61 Read article
-
Modeling the Socioeconomic Factors Impact on Household Trip Production for Baghdad
Abstract: In Baghdad, the number of vehicles has increased more than two folds after 2003. The land use in many sectors has changed and expansions of residential zone are noticeable at other sectors while the restrictions on car ownership and commerce are nil. The restrictions on using many streets due to security issues cause a huge traffic jam among the whole network. It was felt that revision to the transportation policies …
Published in Trends in Transport Engineering and Applications · Vol. 2, Issue 3, 2015 · pp. 61–73 Read article
-
Comparative Study on Design and Analysis of an Iron-Box Using Different Materials
Abstract: In this study, a steady-state thermal analysis of the soleplate is conducted using four different materials (Aluminium, Stainless Steel, Titanium, and Ceramics) using ANSYS Workbench. Also, it ensures that the design adheres to safety standards and promotes efficient energy usage while examining heat distribution. In electric iron, the soleplate is the crucial part, so an analysis is done on this part. Also, a change in design was made to increase …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 192–201 Read article
-
Thermo–Electrical Performance Enhancement of a Lightweight Polymer–Metal Hybrid Electrostatic Precipitator Using Epoxy-Based Composite Housing for Industrial Particulate Control
Abstract: Airborne particulate emissions, particularly PM₁₀ and PM₂.₅ produced by industrial activities and combustion processes, they continue to pose a significant threat to both the environment and public health. Electrostatic precipitators (ESPs) are widely recognized for their ability to achieve high collection efficiencies; however, conventional metallic constructions often lead to increased system weight, higher fabrication costs, and long-term corrosion-related challenges. In this study, a lightweight hybrid material approach is proposed by …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 652–668 Read article
-
Advancements in Machine Learning: A Comprehensive Review of Algorithms, Applications, and Future Directions
Abstract: Gaining knowledge of Machine learning (ML)-guided format algorithms leverage predictive models to generate novel devices with optimized properties across several domains, which include drug discovery, fabric synthesis, and biomolecular engineering. Selecting an effective format set of policies consists of identifying appropriate hyperparameters, predictive models, and generative mechanisms to maximize format fulfilment. This study introduces an established method for set of policies requirements, ensuring that generated designs meet predefined fulfilment criteria, …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 17–33 Read article
-
Development of Automobile Scaled Model from CAD (Blender) Using FDM 3D Printing
Abstract: Additive manufacturing (AM), also known as 3D printing, has emerged as a disruptive technology with the potential to transform automotive manufacturing. This paper reviews the applications of AM across the automotive product development lifecycle. The paper examines case studies demonstrating the use of AM for developing computer-aided design (CAD) models from concept sketches. Overall, AM brings several benefits such as design flexibility, faster time-to-market, and distributed production. However, there are …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
-
Structure based pharmacophore Modelling of compounds against Neurodegenerative disorder – Amyotrophic Lateral sclerosis
Abstract: Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease characterized by the progressive degeneration of motor neurons, leading to muscle dysfunction, paralysis, and eventually death. These diseases are classified as ALS variations because autopsies reveal abnormalities in both upper and lower motor neurons. These disorders account for only 10% of all adult-onset motor neuron disease cases. Despite extensive research efforts, effective therapeutic interventions for ALS remain limited. Structure-based pharmacophore modeling …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 3, 2023 · pp. 1–17 Read article
-
Implement Artificial Intelligence and Machine Learning for Engineering Design, Predictive Modeling, and Optimizing Polymer Nanocomposites
Abstract: Polymer nanocomposites are high performance engineered materials obtained by inclusion of nano-sized fillers into the polymer matrix to enhance mechanical, thermal, electrical, barrier and functional properties. However, the complex and non-linear interactions among polymer chemistry, nanofiller characteristics, filler concentration, dispersion, interfacial bonding and processing conditions make it challenging to anticipate and maximize their properties. Artificial intelligence (AI) and machine learning (ML) offer powerful data-driven solutions to these difficulties by establishing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Improved TOPSIS for Al-SiC Composite Material Selection
Abstract: This paper proposes a novel Multi-Criteria Decision-Making(MCDM) method for attaining accurate and reliable results on Al-SiC composite material selection. Many of the existing researches suggested some methods for determining weights for criteria objectively and dealt with various mathematical models for eliminating inter-criteria correlation. However, they still involve some considerable shortcomings not fitting in the reality. In this paper, in order to determine the weights of criteria, methods for both subjective …
Published in Journal of Materials & Metallurgical Engineering · Vol. 13, Issue 3, 2023 · pp. 12–25 Read article
-
Nanofluids: Advanced Synthesis Methods, Innovative Applications, and Future Directions
Abstract: Nanofluids, a novel mixture of nanoparticles and base fluids, is an innovative blend that has appeared as a transformative advancement in heat transfer and thermal management technologies. This study is going to discuss advanced synthesis methods, properties, and extensive applications of nanofluids in various fields, such as biomedical engineering, electronics cooling, solar energy, and machining. Optimization techniques such as nanoparticle selection, concentration control, and computational fluid dynamics modelling are also …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 1–11 Read article
-
Nanorobots: The Fight against Cholesterol
Abstract: Cardiovascular disease (CVD) rests leading reason of death globally, with atherosclerosis, the buildup of plaque in arteries, playing a central role. Current treatment strategies, including lifestyle changes and medications, often fall short in completely reversing or preventing the progression of atherosclerosis. This has spurred the exploration of innovative approaches, with nanorobotics emerging as a promising avenue for targeted plaque control and high-density lipoprotein (HDL) enhancement. This article discusses how nanorobots …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 23–32 Read article