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1646 articles for “SIM”
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SpecForesight: A Predictive Analytics Pipeline for Laptop Price Forecasting
Abstract: This paper frames laptop pricing as a supervised predictive analytics problem, transforming product specifications into feature-rich signals to forecast price with calibrated regression models and operational guardrails against drift. A structured pipeline ingests tabular listings, performs data cleaning, and engineers domain-informed features (e.g., central processing unit (CPU) family and clocks, graphics processing unit (GPU) tiering, memory/storage density, display, and touch capabilities), followed by encoding and normalization to optimize model learnability. …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 61–71 Read article
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Polymers In Low-Resource Biomedical Innovation: Maker Labs, DIY Devices and Ethics
Abstract: The low-cost biomedical devices have been prototyped and sometimes put into practice by maker laboratories and community "DIY" (Do-It-Yourself maker) innovators due to the fast-growing availability of polymer-based fabrication (desktop 3D printing, laser cutting, and simple molding). Nowadays, polymers such as PLA, PETG, TPU, and PEEK are used in a wide range of applications, including surgical guides and anatomical models, as well as assistive technology and diagnostic housings. Such innovations …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 108–119 Read article
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ML-Enhanced Self-Healing Fiber-Reinforced Polymer Composites with Embedded IoT Sensors for Damage Prediction
Abstract: Fiber-reinforced polymer (FRP) composites are widely used in aerospace and structural systems; nevertheless, the potential for microcracking and fatigue-induced performance degradation remains an obstacle with respect to improved service life. Traditional self-healing methods, while performing well on a chemical level, often lack real-time diagnostic awareness and adaptive control. To circumvent this, we developed a machine-learning augmented self-healing FRP composite, in which a DCPD–Grubbs catalytic matrix was combined with IoT sensor …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 188–208 Read article
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Assessing the Robustness of Machine Learning Models for Wireless Intrusion Detection Under Adversarial Traffic Perturbations
Abstract: As the Internet of Things (IoT) devices and wireless communication networks continue to grow rapidly, protecting systems from cyber threats has become increasingly important. Machine learning–based intrusion detection systems (IDS) have shown strong potential in detecting abnormal and malicious network activities, yet their effectiveness and resilience when facing adversarial attacks are still not sufficiently explored. This research evaluates Machine Learning (ML) models–XGBoost, random forest, and multi-layer perceptron (MLP)—in detecting attacks …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article
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Digital Twin-Driven Optimization of Dynamic Covalent Polymer Networks under Real-Time IoT Monitoring
Abstract: The dynamic covalent polymer networks (DCPNs) has the highest allurement because of the reversibility of all of the chemicals and repetitive. The process of convalescence is delayed, the sense of source betrayal and acting relations is too strong. This transport to our material situation is an ever-refrigerated digital twin in this painting which was developed through repetition produced by constant synchronism sensors of the IoT that is constantly refined by …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 137–157 Read article
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Interaction of Mosquito’s hppd Enzyme with Lansoprazole Sulfide A New Hope to Tackle the Mosquito Menace – an in-Silico Study
Abstract: Tyrosine detoxification is an important physiological process that helps blood-feeding insects, such as mosquitoes that transmit Plasmodium parasites causing malaria, digest their blood meals. An enzyme known as 4-hydroxyphenylpyruvate dioxygenase (HPPD), which is part of the tyrosine detoxification pathway, helps in removing excess tyrosine in a high-protein blood meal. Excess tyrosine can be lethal to the insects, and hence, the role of HPPD enzyme is very critical. Inhibitors of HPPD …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 1–11 Read article
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Advancing Pavement Durability and Sustainability through Glass Fiber Reinforced Concrete Technology
Abstract: This research evaluates the application of Glass Fiber Reinforced Concrete (GFRC) for improving road pavement durability and sustainability. The primary objective was to ascertain the optimal glass fiber content that enhances pavement performance while maintaining economic feasibility. To achieve this, experimental investigations compared the mechanical properties of GFRC to traditional Portland Cement Concrete (PCC). The experiments focused on key performance metrics such as tensile, compressive, and flexural strengths, with GFRC …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 760–774 Read article
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OBD-II Big Data–Driven ML and AI-Based Virtual Sensing for Fuel Economy, Component Health, and Carbon Intelligence
Abstract: The rapid growth of connected vehicles has led to the large-scale availability of high-frequency On-Board Diagnostics II (OBD-II) data; however, much of this data remains underutilised, as existing studies and commercial systems typically address fuel economy, maintenance, or emissions in isolation or rely on additional physical sensors. Such fragmented and sensor-dependent approaches limit scalability and increase system cost, particularly in high-volume and resource-constrained vehicle markets. To address this gap, this …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 39–50 Read article
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Feasibility Analysis of Wireless Power Transfer Technologies for Electric Vehicle Charging Applications
Abstract: The rapid pace of electric vehicles (EVs) has heightened the pressure on the need to have flexible, safe, and efficient infrastructures in addition to the plug-in infrastructures. The Wireless Power Transfer (WPT) has become a promising alternative that provides automated charging, better convenience, and a possible integration into the smart highways and urban environment. The present paper provides a feasibility study of the key WPT technologies in EV charging namely, …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 27–38 Read article
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ML-Driven Optimization Framework for the Analysis, Design, and Development of Efficient Wireless Power Transfer Systems for EV Charging
Abstract: The fast uptake of electric vehicles (EVs) has heightened the necessity of effective, dependable and convenient charging systems. The Wireless Power Transfer (WPT) systems can be taken as a potential solution as they allow charging cells without contact, without any risks, and without any overcrowding; the efficiency of the system is strongly influenced by the alignment of coils, the fluctuations of air-gaps, the conditions of the loads, and geometrical arrangements …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
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Hierarchical Computational Modeling of Physical Structure Across Quark, Nuclear, and Atomic Scales
Abstract: We present a modular, multi-scale computational framework that integrates physical modeling and visualization across quark, nuclear, and atomic scales within a unified pipeline. Developed to address the traditional fragmentation between sub-nucleonic, nuclear, and electronic representations, the system provides a continuous data flow and visualization bridge spanning from femtometers to ångströms. The framework consists of three primary modules: a particle-level module illustrating nucleons as confined quark-triplets with effective flux-tube geometries; a …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 Read article
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Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review
Abstract: Structural health monitoring (SHM) has a critical role in ensuring civil infrastructure safety, reliability, and durability through real-time, condition-based monitoring. Traditional SHM systems employ hundreds of sensors such as accelerometers, strain gauges, and displacement transducers for monitoring vast amounts of data for structural inspection, but do not effectively manage complicated nonlinear data. This research paper, “Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Methods,” investigates …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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Structural Load Evaluation of a Low-Rise Residential Building (G+4) Using STAAD.Pro: A Review
Abstract: The structural analysis and design of multi-story residential buildings have become more complex because cities continue to grow while safety requirements become more demanding and building codes establish stricter requirements. The traditional methods of structural analysis worked through manual execution which required extended periods to complete and suffered from computational errors that primarily affected indeterminate structures and lateral loading conditions. This review paper providesa detailed evaluation of previous works related …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 40–45 Read article
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Evaluation of CI Engine Performance and Emissions Using WB10CNT90: A CNT-Reinforced Biodiesel Blend Approach and its Marketing Prospects for sustainable fuel Commercialization
Abstract: The experimental and analytical evaluation of the WB10CNT90 blend—a combination of 10% waste biodiesel derived from Madhuca longifolia, 90% conventional diesel, and 100 ppm Multi-Walled Carbon Nanotubes (MWCNTs)—demonstrates its potential as an efficient and eco-friendly alternative to conventional diesel. The Brake Thermal Efficiency (BTE) of the engine increased by approximately 15%, indicating enhanced energy conversion efficiency during combustion. Simultaneously, the Brake Specific Fuel Consumption (BSFC) showed a reduction of nearly …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 741–759 Read article
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Comparative of Encryption-Decryption Performance of (Binary, Gray- Scale, Color) Images Using Discrete Fractional Fourier Transform (DFRFT)
Abstract: The Discrete Fractional Fourier transform (DFRFT) provides an effective model of image encryption by further developing the classic Fourier transform by adding fractional orders, which increase the degrees of freedom. Owing to the omnipresence of digital media in many industries like education, healthcare, and entertainment, the mobility of visual data has become a significant issue to keep confidential. Images form one of the main ways of exchanging information and, therefore, …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 · pp. 54–65 Read article
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Nano Shield-EV: Graphene and CNT-Infused Polymer Composites for Advanced EMI Shielding in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for lightweight, thermally stable, and mechanically robust electromagnetic interference (EMI) shielding materials to ensure the reliable performance of advanced electronic systems. Traditional metallic shields, though highly effective, increase vehicle weight and restrict design flexibility, thereby motivating the search for multifunctional polymer-based alternatives. In this study, NanoShield-EV introduces novel polymer nanocomposites fabricated via melt blending and compression molding, combining engineering-grade …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1036–1047 Read article
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Synthesis, Antibacterial Evaluation and Antifungal Study of New Biochemical Derivatives
Abstract: Bacterial and fungal infections have become widespread recently due to the spread of epidemics, diseases, and bacterial infections. As a result, infection rates have increased, prompting many researchers to develop new antibiotics to reduce the spread of these prevalent diseases. Researchers have prepared biochemical compounds similar in structure to drugs that eliminate infections and reduce their spread. One such derivative is imidazole; a well-known compound used in many medications for …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 1, 2026 · pp. 19–28 Read article
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Performance Evaluation of PET Strip Fiber Reinforced Concrete
Abstract: Polyethylene Terephthalate, commonly known as PET, is a petroleum-based plastic polymer that is widely used in the packaging of various commodities due to its durability, and poses a major threat to the environment. To tackle this scenario, the construction industry is researching all possibilities to incorporate this waste into concrete and enhance the properties of concrete. The present study evaluates the performance characteristics of M 30 grade concrete when reinforced …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1076–1088 Read article
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Performance Evaluation of Oat (Avena sativa) Varieties for Growth, Yield, and Yield Components in Southwest Ethiopia
Abstract: The improved feed shortage is main bottleneck of livestock production and productivity in southwest Ethiopia. Hence, the study was conducted in Southwest Ethiopia in Kaffa zone Gimbo district in 2017 and 2018 cropping seasons to identify the adaptable and high yielding oat variety (s). The trial consisted of five oat varieties (CI-8250, CI-8237, CI-2291, CI-2806 and ICARDA 6710) which were laid out in randomized complete block design with three replications. …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 13–18 Read article
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Personalized Therapy Using Drug Delivery Devices
Abstract: The persistent challenge in modern medicine lies in inter-patient heterogeneity, rendering standardized drug dosing protocols suboptimal for many chronic conditions. Traditional pharmacokinetics fail to account for real-time biological fluctuations, leading to cycles of ineffective treatment or dose-limiting toxicity. This paper explores the critical intersection of advanced drug delivery devices (DDDs) and personalized medicine, positioning these technologies as the vital link translating genomic and biological data into tangible, patient- specific interventions. …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 53–62 Read article